Ramirez I., Pino J., Pardo D., Sanz M., del Rio L., Ortiz A., Morozovska K., Aizpurua J.I., Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants (2025), 139, art. no. 109556
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208238685&doi=10.1016%2fj.engappai.2024.109556&partnerID=40&md5=089c2033415b4bc4da2a25f189fe85d4

Taylor J.M., Bastidas M., Pardo D., Muga I., Deep Fourier Residual method for solving time-harmonic Maxwell's equations
(2025), 523, art. no. 113623, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210529346&doi=10.1016%2fj.jcp.2024.113623&partnerID=40&md5=08b3ba34e506fdcd376b8438ee23387f 

Del Ser J., Barredo-Arrieta A., Díaz-Rodríguez N., Herrera F., Saranti A., Holzinger A., On generating trustworthy counterfactual explanations (2024), 655, art. no. 119898, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177595041&doi=10.1016%2fj.ins.2023.119898&partnerID=40&md5=9159aebb6312d558531ea026eaf9f86c 

Xiong M., Xu Y., Hu R., Wang Z., Del Ser J., Muhammad K., Xiong Z., Domain generalized person reidentification based on skewness regularity of higher-order statistics
(2024), 301, art. no. 112206, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200261024&doi=10.1016%2fj.knosys.2024.112206&partnerID=40&md5=b34b551e58040288511068396ceb1c6a

Matorras R., Malaina I., Anibal N., Limia I., Rodríguez-Gómez L., Factors influencing natural fecundity in fertile couples: a survey of puerperae and their partners
(2024), 48 (6), art. no. 103751, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190967397&doi=10.1016%2fj.rbmo.2023.103751&partnerID=40&md5=991059329b6c4005570515d1b76afa18 

Triguero I., Molina D., Poyatos J., Del Ser J., Herrera F., General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance (2024), 103, art. no. 102135, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176561699&doi=10.1016%2fj.inffus.2023.102135&partnerID=40&md5=cc3bb320cd8d34f2a33b32f6e9fa1413

Blanes S., Casas F., Murua A., Splitting methods for differential equations (2024), 33, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203305552&doi=10.1017%2fS0962492923000077&partnerID=40&md5=499490a0dfbe69a3c139ff9b0091bf2e

Xiong M., Chen H., Wen Y., Saudagar A.K.J., Del Ser J., Muhammad K. Person Re-identification with Spatial Multi-granularity Feature Exploration for Social Risk Situational Assessment (2024), 16 (5), pp. 2701 - 2712, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183637766&doi=10.1007%2fs12559-024-10249-5&partnerID=40&md5=b359bee4649a684b48ed5b0ec576cdeb

Liu X., Feng T., Liu W., Song L., Yuan Y., Hau W.K., Ser J.D., Gao Z., Scale Mutualized Perception for Vessel Border Detection in Intravascular Ultrasound Images
(2024), 21 (4), pp. 1060 - 1071, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144021935&doi=10.1109%2fTCBB.2022.3224934&partnerID=40&md5=0be5325e02552cae8d4b816821f51aad

Pathmanathan P., Díaz-Rodríguez N., Del Ser J., Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
(2024), 16 (1), pp. 425 - 453, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175097870&doi=10.1007%2fs12559-023-10213-9&partnerID=40&md5=fae7bc9b1629066496ab3d6589b41d82 

Sanchez-Cubillo J., Del Ser J., Martin J.L., Toward Fully Automated Inspection of Critical Assets Supported by Autonomous Mobile Robots, Vision Sensors, and Artificial Intelligence (2024), 24 (12), art. no. 3721, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197302522&doi=10.3390%2fs24123721&partnerID=40&md5=5785eeec56306b809cb4ccf62bd7b3f0

Galán-Arcicollar C., Najera-Zuloaga J., Lee D.-J., Patient-reported outcomes and survival analysis of chronic obstructive pulmonary disease patients: a two-stage joint modelling approach (2024), 48 (2) https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202355470&doi=10.57645%2f20.8080.02.17&partnerID=40&md5=7df1bc1a553dfa88848f48a7b86f7b42

Passos L.A., Jodas D., Costa K.A.P., Souza Júnior L.A., Rodrigues D., Del Ser J., Camacho D., Papa J.P.,  A review of deep learning-based approaches for deepfake content detection
(2024), 41 (8), art. no. e13570, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186486979&doi=10.1111%2fexsy.13570&partnerID=40&md5=bfe523c33cccb4263b6f01fffdc260b0

Garrido P.F., Castillo-Peinado L.S., Priego-Capote F., Barrio I., Piñeiro Á., Domínguez-Santalla M.J., Rodríguez-Ruiz E., Garcia-Fandino R., Lipidomics signature in post-COVID patient sera and its influence on the prolonged inflammatory response (2024), 17 (4), pp. 588 - 600, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185503571&doi=10.1016%2fj.jiph.2024.01.017&partnerID=40&md5=82664b718fef556f57a727df4be655c4

Relaño F.R., Borkar V., Ayesta U., Avrachenkov K., Tabular and Deep Learning for the Whittle Index (2024), 9 (3), art. no. 11, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203289478&doi=10.1145%2f3670686&partnerID=40&md5=64fe66a7026db51d66d1c4313150be8d

Taylor J.M., Bastidas M., Calo V.M., Pardo D., Adaptive Deep Fourier Residual method via overlapping domain decomposition
(2024), 427, art. no. 116997, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191431271&doi=10.1016%2fj.cma.2024.116997&partnerID=40&md5=c3dcbd253744a5bf502b34cf2437947b

Najera-Zuloaga J., Lee D.-J., Esteban C., Arostegui I., Multidimensional beta-binomial regression model: A joint analysis of patient-reported outcomes
(2024), 24 (5), pp. 441 - 458, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153295155&doi=10.1177%2f1471082X231151311&partnerID=40&md5=5c4f3e9813e13fbf6cc037cafddd16ff

Andres A., Martinez-Seras A., Laña I., Del Ser J., On the black-box explainability of object detection models for safe and trustworthy industrial applications
(2024), 24, art. no. 103498, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210053920&doi=10.1016%2fj.rineng.2024.103498&partnerID=40&md5=4751d5a0fa448b6dc53e2fa9d25aa961

Xing X., Wu H., Wang L., Stenson I., Yong M., Del Ser J., Walsh S., Yang G., Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey (2024), 56 (7), pp. 1 - 35, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187469162&doi=10.1145%2f3614425&partnerID=40&md5=179e21156a5aa83709a77fc57d825165

Brevis I., Muga I., Pardo D., Rodriguez O., van der Zee K.G., Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach
(2024), 164, pp. 139 - 149, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191331478&doi=10.1016%2fj.camwa.2024.04.006&partnerID=40&md5=da2e1ad5ec59823745868ab52b6cd763

Rojas S., Maczuga P., Muñoz-Matute J., Pardo D., Paszyński M., Robust Variational Physics-Informed Neural Networks (2024), 425, art. no. 116904, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188026020&doi=10.1016%2fj.cma.2024.116904&partnerID=40&md5=f366623a7bdb7d2151e01118e786e673

Quintana-Lopez J.M., Rodríguez L., Portuondo J., García J., Legarreta M.J., Gascón M., Larrea N., Barrio I., Relevance of comorbidities for main outcomes during different periods of the COVID-19 pandemic (2024), 18 (1), art. no. e13240, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182459938&doi=10.1111%2firv.13240&partnerID=40&md5=e206b54371fe3289124fcc4de4fd5124

Wang S., Nan Y., Zhang S., Felder F., Xing X., Fang Y., Del Ser J., Walsh S.L.F., Yang G., Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method (2024), 154, art. no. 102930, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199253225&doi=10.1016%2fj.artmed.2024.102930&partnerID=40&md5=12d62024242e9f722033ec55932855e8

Li H., Nan Y., Del Ser J., Yang G., Large-Kernel Attention for 3D Medical Image Segmentation (2024), 16 (4), pp. 2063 - 2077, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148998969&doi=10.1007%2fs12559-023-10126-7&partnerID=40&md5=aeb59e21a15e4526be7e6012a1b72a10

Bušić A., Doncel J., Fourneau J.M., Dynamic load balancing in energy packet networks (2024), 165, art. no. 102414, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191992150&doi=10.1016%2fj.peva.2024.102414&partnerID=40&md5=67e70a14acba37232460f969d6c22be6

Iparragirre A., Barrio I., Aramendi J., Arostegui I., Estimation of logistic regression parameters for complex survey data: Simulation study based on real survey data (2024), 48 (1), pp. 1 - 26 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193075200&doi=10.57645%2f20.8080.02.14&partnerID=40&md5=0d0b61d0297cadf2feb890d940ac9480

Anselmi J., Doncel J., Load Balancing with Job-Size Testing: Performance Improvement or Degradation? (2024), 9 (2), art. no. 8 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191191650&doi=10.1145%2f3651154&partnerID=40&md5=6d9980f715820115232aefeeb5706c89

Tanveer M., Sajid M., Akhtar M., Quadir A., Goel T., Aimen A., Mitra S., Zhang Y.-D., Lin C.T., Del Ser J., Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges (2024), 32 (10), pp. 5477 - 5492, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196706926&doi=10.1109%2fTFUZZ.2024.3409412&partnerID=40&md5=5ea4d03fc8e2fa6b7b6cb10217ebbe3f

Pallarès N., Inouzhe H., Straw S., Safdar N., Fernández D., Cortés J., Rodríguez L., Videla S., Barrio I., Witte K.K., Carratalà J., Tebé C., Abelenda-Alonso G., Rombauts A., Oriol I., Development and validation of a model to predict ceiling of care in COVID-19 hospitalized patients (2024), 23 (1), art. no. 173, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198937928&doi=10.1186%2fs12904-024-01490-8&partnerID=40&md5=9470ec066399a0272a60aad246d87898

Victoria Luzon M., Rodriguez-Barroso N., Argente-Garrido A., Jimenez-Lopez D., Moyano J.M., Del Ser J., Ding W., Herrera F., A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends (2024), 11 (4), pp. 824 - 850
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188530067&doi=10.1109%2fJAS.2024.124215&partnerID=40&md5=4da4a9c348e54ddcdecd5ea66f6b1fe5

Gonzalez-Sieiro J., Pardo D., Nava V., Calo V.M., Towara M., Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework (2024), https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203348237&doi=10.1007%2fs00366-024-02057-0&partnerID=40&md5=b076ae2c3807d8dfdc28d61cb33379a8

Omella Á.J., Pardo D., r-Adaptive deep learning method for solving partial differential equations
(2024), 153, pp. 33 - 42, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177045354&doi=10.1016%2fj.camwa.2023.11.005&partnerID=40&md5=4f833734e3f2dad601b7acc29119965e

Anselmi J., Doncel J., Balanced Splitting: A Framework for Achieving Zero-Wait in the Multiserver-Job Model
(2024), https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209189204&doi=10.1109%2fTPDS.2024.3493631&partnerID=40&md5=a8d4ceddf950ba67f852fb72db261a7f

Mendia I., Gil-Lopez S., Grau I., Del Ser J., A novel approach for the detection of anomalous energy consumption patterns in industrial cyber-physical systems
(2024), 41 (2), art. no. e12959, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125188508&doi=10.1111%2fexsy.12959&partnerID=40&md5=271d25ddb92be143bc1084a14ae8d506

Abedi M.M., Pardo D., Alkhalifah T., Semi-blind-trace algorithm for self-supervised attenuation of trace-wise coherent noise (2024), 72 (3), pp. 965 - 977, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176220752&doi=10.1111%2f1365-2478.13448&partnerID=40&md5=99f9274c65dab08dc640211d9a20b1e7

Sagastabeitia G., Doncel J., Aguilar J., Fernández Anta A., Ramírez J.M., COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy (2024), 258, art. no. 124930, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202292397&doi=10.1016%2fj.eswa.2024.124930&partnerID=40&md5=d6e6836df5b525f65df93d12965077b6

De La Fuente I.M., Carrasco-Pujante J., Camino-Pontes B., Fedetz M., Bringas C., Pérez-Samartín A., Pérez-Yarza G., López J.I., Malaina I., Cortes J.M., Systemic cellular migration: The forces driving the directed locomotion movement of cells (2024), 3 (5), art. no. pgae171, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192721124&doi=10.1093%2fpnasnexus%2fpgae171&partnerID=40&md5=550d1bdaad8eae34c0e20665cfa9eec4

Fernandez-Navamuel A., Pardo D., Magalhães F., Zamora-Sánchez D., Omella Á.J., Garcia-Sanchez D., Deep neural network for damage detection in Infante Dom Henrique bridge using multi-sensor data (2024), https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188353025&doi=10.1177%2f14759217241227455&partnerID=40&md5=907681f424d850d6f6b786795f4a14d0

Hernández H., Díaz-Viera M.A., Alberdi E., Oyarbide-Zubillaga A., Goti A., Metallurgical Copper Recovery Prediction Using Conditional Quantile Regression Based on a Copula Model (2024), 14 (7), art. no. 691, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199603897&doi=10.3390%2fmin14070691&partnerID=40&md5=5f61049a40b28b33bbe8cfb80807a451

Abedi M.M., Pardo D., Alkhalifah T., Ensemble Deep Learning for Enhanced Seismic Data Reconstruction (2024), 62, art. no. 5916311, pp. 1 - 11, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193487346&doi=10.1109%2fTGRS.2024.3401832&partnerID=40&md5=1d326c90d8351ce39b3fc67c4d1f6650

Matorras R., Pérez-Fernández S., Mercader A., Sierra S., Larreategui Z., Ferrando M., Malaina I., Rubio C., Gantxegi M., Lessons learned from 64,071 embryos subjected to PGT for aneuploidies: results, recurrence pattern and indications analysis (2024), 49 (5), art. no. 103979, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202053233&doi=10.1016%2fj.rbmo.2024.103979&partnerID=40&md5=ca9ef48c72aa533f8017e0a828a42af4 

Maciąg P.S., Bembenik R., Piekarzewicz A., Del Ser J., Lobo J.L., Kasabov N.K., Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks (2023), 170, art. no. 105851, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175183246&doi=10.1016%2fj.envsoft.2023.105851&partnerID=40&md5=92c92ba95ff34b9fcd9e4a452aaee265 

Noh K., Pardo D., Torres-Verdín C., Physics-guided deep-learning inversion method for the interpretation of noisy logging-while-drilling resistivity measurements (2023), 235 (1), pp. 150 - 165, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162030194&doi=10.1093%2fgji%2fggad217&partnerID=40&md5=3eb3a9e2866f35f8c4244b2ba576b095, 

García-García F., Lee D.-J., Mendoza-Garcés F.J., Irigoyen-Miró S., Legarreta-Olabarrieta M.J., García-Gutiérrez S., Arostegui I., Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks (2023), 232, art. no. 107428, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149172715&doi=10.1016%2fj.cmpb.2023.107428&partnerID=40&md5=bd0a2c6865c37f7acc7b9e6467529190 

Portuondo-Jiménez J., Barrio I., España P.P., García J., Villanueva A., Gascón M., Rodríguez L., Larrea N., García-Gutierrez S., Quintana J.M., Clinical prediction rules for adverse evolution in patients with COVID-19 by the Omicron variant (2023), 173, art. no. 105039, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149897189&doi=10.1016%2fj.ijmedinf.2023.105039&partnerID=40&md5=907aab92f7ff396136958fa7dbe8390a 

Zhao B., Jin W., Del Ser J., Yang G., ChatAgri: Exploring potentials of ChatGPT on cross-linguistic agricultural text classification (2023), 557, art. no. 126708, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169555764&doi=10.1016%2fj.neucom.2023.126708&partnerID=40&md5=24a6620418f28d8fd676b67d3fa293d9 

Iparragirre A., Barrio I., Arostegui I. Estimation of the ROC curve and the area under it with complex survey data (2023), 12 (1), art. no. e635, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178905565&doi=10.1002%2fsta4.635&partnerID=40&md5=8940154ad2921ff2ba4e70d09fac70e6 

Liu S., Huang S., Wang S., Muhammad K., Bellavista P., Del Ser J., Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows (2023), 96, pp. 281 - 296, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148445905&doi=10.1016%2fj.inffus.2023.02.005&partnerID=40&md5=f0d9ffcb0f4d6121ddb691d6531a5186 

Delgado-Enales I., Del Ser J., Molina P.,  A framework to improve urban accessibility and environmental conditions in age-friendly cities using graph modeling and multi-objective optimization (2023), 102, art. no. 101966, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152590520&doi=10.1016%2fj.compenvurbsys.2023.101966&partnerID=40&md5=bb8d80e915052a34e504bcacf5c9f591 

Ali S., Abuhmed T., El-Sappagh S., Muhammad K., Alonso-Moral J.M., Confalonieri R., Guidotti R., Del Ser J., Díaz-Rodríguez N., Herrera F., Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence (2023), 99, art. no. 101805, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159601901&doi=10.1016%2fj.inffus.2023.101805&partnerID=40&md5=4ab083e2f6a076ba5601fd040b4afa41 

Rahim N., El-Sappagh S., Ali S., Muhammad K., Del Ser J., Abuhmed T., Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data (2023), 92, pp. 363 - 388, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144325712&doi=10.1016%2fj.inffus.2022.11.028&partnerID=40&md5=3a6ad2c35531f2febdb13cb301616873 

Taylor J.M., Pardo D., Muga I., A Deep Fourier Residual method for solving PDEs using Neural Networks (2023), 405, art. no. 115850, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144622786&doi=10.1016%2fj.cma.2022.115850&partnerID=40&md5=78273f7ca355999f15f5cb03119e2ce6 

Gómez-Pereira E., Burgos J., Mendoza R., Pérez-Ruiz I., Olaso F., García D., Malaina I., Matorras R., Endometriosis Increases the Risk of Placenta Previa in Both IVF Pregnancies and the General Obstetric Population (2023), 30 (3), pp. 854 - 864, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136547033&doi=10.1007%2fs43032-022-01054-2&partnerID=40&md5=5554595059b7b1ec77fe11b5396d76fe 

Miguelez F., Ayesta U., Doncel J., Price of Anarchy with multiple information sources under competition (2023), 51 (6), pp. 605 - 611, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174387968&doi=10.1016%2fj.orl.2023.10.004&partnerID=40&md5=479589922cfd7ad55524517057d2bcf9 

Poyatos J., Molina D., Martínez-Seras A., Del Ser J., Herrera F., Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness (2023), 147, art. no. 110757, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171623378&doi=10.1016%2fj.asoc.2023.110757&partnerID=40&md5=4d1eb27a27acad1f11835b0576b3cf8c 

Zabala L., Doncel J., Ferro A., Modeling a Linux Packet-Capturing System with a Queueing System with Vacations (2023), 11 (7), art. no. 1663, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152799123&doi=10.3390%2fmath11071663&partnerID=40&md5=4b8d610191c1f8d6c3a151194b683d5e 

Khan S.U., Khan N., Hussain T., Muhammad K., Hijji M., Del Ser J., Baik S.W., Visual Appearance and Soft Biometrics Fusion for Person Re-Identification Using Deep Learning (2023), 17 (3), pp. 575 - 586, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151496540&doi=10.1109%2fJSTSP.2023.3260627&partnerID=40&md5=cdcf9da9c7c972ac6f024f248f9a6f48 

Kumar S., Mallik A., Kumar A., Ser J.D., Yang G., Fuzz-ClustNet: Coupled fuzzy clustering and deep neural networks for Arrhythmia detection from ECG signals (2023), 153, art. no. 106511, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145648584&doi=10.1016%2fj.compbiomed.2022.106511&partnerID=40&md5=146bd2e7c7ce824358d33a141a5c1a2a 

España P.P., Bilbao-González A., Larrea N., Castillo-Sintes I., García-Gutiérrez S., Portuondo J., Villanueva A., Uranga A., Legarreta M.J., Gascon M., Quintana J.M., Garcia J., Tiscar V., Bilbao A., Castillo I., Quintana J.M., Lafuente I., Esteban C., Aramburu A., Barrio I., Lee D.-J., Monsalve-Cobis A.-E., Rodríguez L., Impact of prior SARS-COV-2 infection and vaccination on COVID-19 hospital admission and mortality amongst nursing home residents (2023), 35 (8), pp. 1771 - 1778, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160673848&doi=10.1007%2fs40520-023-02446-3&partnerID=40&md5=de24813aa5f00b40d4ef6d116a625af1 

Muhammad K., Ser J.D., Magaia N., Fonseca R., Hussain T., Gandomi A.H., Daneshmand M., De Albuquerque V.H.C., Communication Technologies for Edge Learning and Inference: A Novel Framework, Open Issues, and Perspectives, (2023), 37 (2), pp. 246 - 252, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146256806&doi=10.1109%2fMNET.125.2100771&partnerID=40&md5=efd310bb162be4d05eacea1badc44f9c 

Fernandez-Navamuel A., Pardo D., Magalhães F., Zamora-Sánchez D., Omella Á.J., Garcia-Sanchez D., Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations (2023), 200, art. no. 110471, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162134275&doi=10.1016%2fj.ymssp.2023.110471&partnerID=40&md5=50b4bf79f55d816d35cbab99e1d74b21 

Teijeiro T., Taylor J.M., Hashemian A., Pardo D., Machine learning discovery of optimal quadrature rules for isogeometric analysis (2023), 416, art. no. 116310, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169598724&doi=10.1016%2fj.cma.2023.116310&partnerID=40&md5=89206fddd8257d3d99c6f60bbb422a88 

Zhou X., Ye Q., Yang X., Chen J., Ma H., Xia J., Del Ser J., Yang G., AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus (2023), 35 (22), pp. 16011 - 16020, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125136847&doi=10.1007%2fs00521-022-07048-0&partnerID=40&md5=982b852595ee0600a723bc585c730b1b 

Li H., Nan Y., Del Ser J., Yang G., Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation (2023), 35 (30), pp. 22071 - 22085, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142134153&doi=10.1007%2fs00521-022-08016-4&partnerID=40&md5=c4d410b19a5bb5327540ff8c39fc6a12 

Gorostidi N., Pardo D., Nava V., Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders (2023), 287, art. no. 115862, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172024001&doi=10.1016%2fj.oceaneng.2023.115862&partnerID=40&md5=e490fcc5eae553d231f385b8a39d9057 

Manibardo E.L., Lana I., Villar-Rodriguez E., Ser J.D., A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles (2023), 24 (8), pp. 8701 - 8715, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147272187&doi=10.1109%2fTITS.2023.3236489&partnerID=40&md5=9bf3cd2109c9358d5ad073ea102ef4d1 

Andres A., Villar-Rodriguez E., Ser J.D., Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share? (2023), 35 (23), pp. 16753 - 16780, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129224127&doi=10.1007%2fs00521-022-07774-5&partnerID=40&md5=887bcc97aed227bcc33e46fe8c765f20 

Uriarte C., Pardo D., Muga I., Muñoz-Matute J., A Deep Double Ritz Method (D2RM) for solving Partial Differential Equations using Neural Networks (2023), 405, art. no. 115892, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146419089&doi=10.1016%2fj.cma.2023.115892&partnerID=40&md5=51c781d70326a26b0e53c66ce409140e 

Díaz-Rodríguez N., Del Ser J., Coeckelbergh M., López de Prado M., Herrera-Viedma E., Herrera F., Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023), 99, art. no. 101896, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165229141&doi=10.1016%2fj.inffus.2023.101896&partnerID=40&md5=227e799a222807d695482be476e999d8 

Iparragirre A., Lumley T., Barrio I., Arostegui I., Variable selection with LASSO regression for complex survey data (2023), 12 (1), art. no. e578, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178895213&doi=10.1002%2fsta4.578&partnerID=40&md5=795e0c1d25686c7d42551b2191a94657 

Malaina I., Martinez L., Salcines-Cuevas D., Teran-Navarro H., Ocejo-Vinyals J.G., Gonzalez-Lopez E., Soriano V., Ubeda M., Perez Pinilla M.-B., Martinez de la Fuente I., Alvarez-Dominguez C., Testing a vaccine candidate against Hepatitis C virus designed by combinatorial optimization (2023), 13 (1), art. no. 21746, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178955401&doi=10.1038%2fs41598-023-48458-x&partnerID=40&md5=b6e1bb439a4ccc5c934878e08d645d6e 

Orive M., Barrio I., Lázaro S., Gonzalez N., Bare M., de Larrea N.F., Redondo M., Cortajarena S., Bilbao A., Aguirre U., Sarasqueta C., Quintana J.M., Five-year follow-up mortality prognostic index for colorectal patients (2023), 38 (1), art. no. 64, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150001149&doi=10.1007%2fs00384-023-04358-0&partnerID=40&md5=2c017afb8b3d364e150cba0690886124 

Bronte O., García-García F., Lee D.-J., Urrutia I., Uranga A., Nieves M., Martínez-Minaya J., Quintana J.M., Arostegui I., Zalacain R., Ruiz-Iturriaga L.A., Serrano L., Menéndez R., Méndez R., Torres A., Cilloniz C., España P.P., Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia (2023), 894, art. no. 164877, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163803657&doi=10.1016%2fj.scitotenv.2023.164877&partnerID=40&md5=290749f2d1b19f7b1816f048aa404ef9 

Najera-Zuloaga J., Lee D.-J., Esteban C., Arostegui I., Multidimensional beta-binomial regression model: A joint analysis of patient-reported outcomes (2023) https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153295155&doi=10.1177%2f1471082X231151311&partnerID=40&md5=5c4f3e9813e13fbf6cc037cafddd16ff 

Li M., Fang Y., Tang Z., Onuorah C., Xia J., Ser J.D., Walsh S., Yang G., Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels (2023), 7 (1), pp. 26 - 35, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135212193&doi=10.1109%2fTETCI.2022.3189054&partnerID=40&md5=39bbc22569cf58e0e2cc39e91004edfb 

Poyatos J., Molina D., Martinez A.D., Del Ser J., Herrera F., EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks (2023), 158, pp. 59 - 82, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142746127&doi=10.1016%2fj.neunet.2022.10.011&partnerID=40&md5=317431eeff131226fcff8e9a77b0b35c 

Fister D., Pérez-Aracil J., Peláez-Rodríguez C., Del Ser J., Salcedo-Sanz S., Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques (2023), 136, art. no. 110118, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148036420&doi=10.1016%2fj.asoc.2023.110118&partnerID=40&md5=979fb2753bb54e78697f57bb6ef11502 

Rodriguez O., Taylor J.M., Pardo D., Multimodal variational autoencoder for inverse problems in geophysics: Application to a 1-D magnetotelluric problem (2023), 235 (3), pp. 2598 - 2613, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176365502&doi=10.1093%2fgji%2fggad362&partnerID=40&md5=e1bab39a3e04fb07ea1744043618eee5

Malaina I., Gonzalez-Melero L., Martínez L., Salvador A., Sanchez-Diez A., Asumendi A., Margareto J., Carrasco-Pujante J., Legarreta L., García M.A., Pérez-Pinilla M.B., Izu R., Martínez de la Fuente I., Igartua M., Alonso S., Hernandez R.M., Boyano M.D., Computational and Experimental Evaluation of the Immune Response of Neoantigens for Personalized Vaccine Design (2023), 24 (10), art. no. 9024, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160450260&doi=10.3390%2fijms24109024&partnerID=40&md5=9133a98fa1c76a59f2ee58db1511f312 

Liz H., Huertas-Tato J., Sánchez-Montañés M., Del Ser J., Camacho D., Deep learning for understanding multilabel imbalanced Chest X-ray datasets (2023), 144, pp. 291 - 306, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150309490&doi=10.1016%2fj.future.2023.03.005&partnerID=40&md5=c854bf4d911b3f4991bbeb4562638691 

Xing X., Ser J.D., Wu Y., Li Y., Xia J., Xu L., Firmin D., Gatehouse P., Yang G., HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis (2023), 27 (10), pp. 5134 - 5142, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126540214&doi=10.1109%2fJBHI.2022.3158897&partnerID=40&md5=28470c0e8c00f48d38f5196ca936d2dd 

Passos L.A., Papa J.P., Del Ser J., Hussain A., Adeel A., Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement (2023), 90, pp. 1 - 11, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138109331&doi=10.1016%2fj.inffus.2022.09.006&partnerID=40&md5=13d718f63a7bf6082fce65862b3d26f7 

Khan Z.A., Hussain T., Ullah A., Ullah W., Del Ser J., Muhammad K., Sajjad M., Baik S.W., Modelling Electricity Consumption During the COVID19 Pandemic: Datasets, Models, Results and a Research Agenda (2023), 294, art. no. 113204, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162212286&doi=10.1016%2fj.enbuild.2023.113204&partnerID=40&md5=458e084f18c3fdbd77a5db63a45b8245 

Ibañez-Solé O., Barrio I., Izeta A., Age or lifestyle-induced accumulation of genotoxicity is associated with a length-dependent decrease in gene expression (2023), 26 (4), art. no. 106368, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150910000&doi=10.1016%2fj.isci.2023.106368&partnerID=40&md5=7a8d4b0e679abd663b7c79835c020958 

Li H., Nan Y., Del Ser J., Yang G., Large-Kernel Attention for 3D Medical Image Segmentation (2023), https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148998969&doi=10.1007%2fs12559-023-10126-7&partnerID=40&md5=aeb59e21a15e4526be7e6012a1b72a10 

Martinez-Seras A., Del Ser J., L. Lobo J., Garcia-Bringas P., Kasabov N., A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability (2023), 100, art. no. 101943, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169930989&doi=10.1016%2fj.inffus.2023.101943&partnerID=40&md5=591d007a60e9ab9afe3cb1fda2ea9eed 

Contreras L.F., Pardo D., Abreu E., Muñoz-Matute J., Diaz C., Galvis J. An exponential integration generalized multiscale finite element method for parabolic problems (2023), 479, art. no. 112014, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149169438&doi=10.1016%2fj.jcp.2023.112014&partnerID=40&md5=b172a9c592ceef972aff9563a6f9ee6f 

Hernández H., Alberdi E., Goti A., Oyarbide-Zubillaga A., Application of the k-Prototype Clustering Approach for the Definition of Geostatistical Estimation Domains (2023), 11 (3), art. no. 740, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147805034&doi=10.3390%2fmath11030740&partnerID=40&md5=8c785794a557cf8f9dd0dd235448c943 

Yu C., Li S., Ghista D., Gao Z., Zhang H., Ser J.D., Xu L.,  Multi-level multi-type self-generated knowledge fusion for cardiac ultrasound segmentation (2023), 92, pp. 1 - 12, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142714700&doi=10.1016%2fj.inffus.2022.11.004&partnerID=40&md5=9c59709c8a174ba36306304c9fd85880 

Matorras R., Aspichueta F., Prieto B., Mendoza R., Malaina I., Corral B., Crisol L., Vendrell A., Exposito A., Comparison of the Administration of 150 or 75 IU of Recombinant LH in Agonist ICSI Cycles Stimulated with Recombinant FSH in Women Aged 35-39: A Comparative Study (2023), 24 (4), pp. 269 - 278, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179462268&doi=10.18502%2fjri.v24i4.14154&partnerID=40&md5=433550ce3e4cc43fdca794fd69ec1201 

Shahriari M., Pardo D., Kargaran S., Teijeiro T., Neural network architecture optimization using automated machine learning for borehole resistivity measurements (2023), 234 (3), pp. 2488 - 2501, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165720653&doi=10.1093%2fgji%2fggad249&partnerID=40&md5=153cdd4d8e766f849b203c4f5bf11266 

Torregrosa J., Bello-Orgaz G., Martínez-Cámara E., Ser J.D., Camacho D.,  A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges (2023), 14 (8), pp. 9869 - 9905, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122834709&doi=10.1007%2fs12652-021-03658-z&partnerID=40&md5=4bf7a60ce734fdebbd28ddc699cf5df8 

Malaina I., Martínez L., Montoya J.M., Alonso S., Boyano M.D., Asumendi A., Izu R., Sanchez-Diez A., Cancho-Galan G., M. de la Fuente I., A Universal Antigen-Ranking Method to Design Personalized Vaccines Targeting Neoantigens against Melanoma (2023), 13 (1), art. no. 155, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146742215&doi=10.3390%2flife13010155&partnerID=40&md5=f4d751395ea0688ac2378a1f1168ea67 

Hayet-Otero M., García-García F., Lee D.-J., Martínez-Minaya J., Yandiola P.P.E., Landa I.U., Ermecheo M.N., Quintana J.M., Menéndez R., Torres A., Jorge R.Z., Arostegui I, Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques (2023), 18 (4 April), art. no. e0284150https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152593485&doi=10.1371%2fjournal.pone.0284150&partnerID=40&md5=4f5dc7158f63b586bcb5bb9a88a21e17 

Zabala L., Doncel J., Ferro A., Optimality of a Network Monitoring Agent and Validation in a Real Probe (2023), 11 (3), art. no. 610,  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147885271&doi=10.3390%2fmath11030610&partnerID=40&md5=f018bd1b82c850090d8f5ae69e3d543f 

Łoś M., Woźniak M., Pingali K., Castillo L.E.G., Alvarez-Arramberri J., Pardo D., Paszyński M., Fast parallel IGA-ADS solver for time-dependent Maxwell's equations (2023), 151, pp. 36 - 49, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172870747&doi=10.1016%2fj.camwa.2023.09.035&partnerID=40&md5=f9b76bde16865b4b58917cc4bc630c59 

Gorria, C., Lezaun, M., López, F.J., Performance measures of nonstationary inventory models for perishable products under the EWA policy (2022) European Journal of Operational Research, 303 (3), pp. 1137-1150. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127489489&doi=10.1016%2fj.ejor.2022.03.018&partnerID=40&md5=62dcd105e2ca7a3a6a53313c6e8768a6

Osaba, E., Del Ser, J., Suganthan, P.N., Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future (2022) Swarm and Evolutionary Computation, 75, art. no. 101203, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141922374&doi=10.1016%2fj.swevo.2022.101203&partnerID=40&md5=d0a35caa9168ae3715c063ad44d78d4a

Jia, B., Qiao, W., Zong, Z., Liu, S., Hijji, M., Del Ser, J., Muhammad, K. A fingerprint-based localization algorithm based on LSTM and data expansion method for sparse samples (2022) Future Generation Computer Systems, 137, pp. 380-393.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136637407&doi=10.1016%2fj.future.2022.07.021&partnerID=40&md5=59d763a848f79bb139d83d15d7a3801e

Duran, S., Ayesta, U., Verloop, I.M. On the Whittle index of Markov modulated restless bandits (2022) Queueing Systems, 102 (3-4), pp. 373-430. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132856117&doi=10.1007%2fs11134-022-09737-y&partnerID=40&md5=fc3603cf3eba7feb3ebdc9c1e588426d

Matorras, R., Navarro, A., Ramos, D., Malaina, I., Irazusta, J., Vendrell, A., Fernandez, A., Ferrando, M., Quintana, F. Physical activity and sperm quality: influence in sperm donors (2022) Reproductive Biology and Endocrinology, 20 (1), art. no. 83, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130715374&doi=10.1186%2fs12958-022-00946-x&partnerID=40&md5=7482a7649bd164d15e62dde3e1391054

Garcia-Gutiérrez, S., Esteban-Aizpiri, C., Lafuente, I., Barrio, I., Quiros, R., Quintana, J.M., Uranga, A., García-Gutiérrez, S., Lafuente, I., Quintana, J.M., Orive, M., Gonzalez, N., Anton, A., Villanueva, A., Muñoz, C., Legarreta, M.J., Quirós, R., Yandiola, P.P.E., Egurrola, M., Aramburu, A., Artaraz, A., Chasco, L., Bronte, O., García, P., Jodar, A., Fernandez, V., Esteban, C., Mas, N., Pulido, E., Bengoetxea, I., Martínez, A.E., Bilbao, A., Gorostiza, I., Arriaga, I., Zapiarain, J.J.P., Parraza, N., Iriberri, M., Zalacain, R., Ruiz, L.A., Serrano, L., Couto, A., Ateka, O., Cano, A., Ibarra, M.O., Millan, E., Bacigalupe, M., Letona, J., Arcelay, A., Berraondo, I., Castells, X., Posso, M., Perestelo, L., Acosta, G.P., Gonzñalez, C.M., Redondo, M., Padilla, M., Muñoz, A., de Madariaga, R.S., COVID-REDISSEC Working Group, Machine learning-based model for prediction of clinical deterioration in hospitalized patients by COVID 19 (2022) Scientific Reports, 12 (1), art. no. 7097, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129396641&doi=10.1038%2fs41598-022-09771-z&partnerID=40&md5=151106dd4db8f9c6344a455611dbee2e

Martínez, L., Malaina, I., Salcines-Cuevas, D., Terán-Navarro, H., Zeoli, A., Alonso, S., M. De la Fuente, I., Gonzalez-Lopez, E., Ocejo-Vinyals, J.G., Gozalo-Margüello, M., Calvo-Montes, J., Alvarez-Dominguez, C. First computational design using lambda-superstrings and in vivo validation of SARS-CoV-2 vaccine (2022) Scientific Reports, 12 (1), art. no. 6410, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128422496&doi=10.1038%2fs41598-022-09615-w&partnerID=40&md5=067ff9da114e2626a1e95737366ec840

Iturria, A., Labaien, J., Charramendieta, S., Lojo, A., Del Ser, J., Herrera, F. A framework for adapting online prediction algorithms to outlier detection over time series (2022) Knowledge-Based Systems, 256, art. no. 109823, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138785545&doi=10.1016%2fj.knosys.2022.109823&partnerID=40&md5=be50d47c701e07c4a209c51a6203f8fe

Ispizua, B., Doncel, J., Analysis of the Refined Mean-Field Approximation for the 802.11 Protocol Model (2022) Sensors, 22 (22), art. no. 8754, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142726273&doi=10.3390%2fs22228754&partnerID=40&md5=56b9ded681bdcc5b9259516e806d6f4d

Caro, F.V., Darrigrand, V., Alvarez-Aramberri, J., Alberdi, E., Pardo, D. A painless multi-level automatic goal-oriented hp-adaptive coarsening strategy for elliptic and non-elliptic problems(2022) Computer Methods in Applied Mechanics and Engineering, 401, art. no. 115641, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139291001&doi=10.1016%2fj.cma.2022.115641&partnerID=40&md5=9e5ac0efbdc4d92cb1db147a97087b92

Villacampa, G., Falato, C., Paré, L., Hernando, C., Arumí, M., Saura, C., Gómez, G., Muñoz, M., Gil-Gil, M., Izarzugaza, Y., Ferrer, N., Najera-Zuloaga, J., Montaño, A., Ciruelos, E., González-Santiago, S., Villagrasa, P., Gavilá, J., Prat, A., Pascual, T. Pre-operative ribociclib plus letrozole versus chemotherapy: Health-related quality of life outcomes from the SOLTI CORALLEEN trial (2022) European Journal of Cancer, 174, pp. 232-242.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137308243&doi=10.1016%2fj.ejca.2022.07.028&partnerID=40&md5=00b58aa9b7ac5f619244b463a29e8329

Shi, Q., Suganthan, P.N., Del Ser, J., Jointly optimized ensemble deep random vector functional link network for semi-supervised classification (2022) Engineering Applications of Artificial Intelligence, 115, art. no. 105214, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135684489&doi=10.1016%2fj.engappai.2022.105214&partnerID=40&md5=dcd83f0fcc308d1f68a00207cb9404e2

Huang, J., Ding, W., Lv, J., Yang, J., Dong, H., Del Ser, J., Xia, J., Ren, T., Wong, S.T., Yang, G., Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information (2022) Applied Intelligence, 52 (13), pp. 14693-14710. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124171668&doi=10.1007%2fs10489-021-03092-w&partnerID=40&md5=0d52f91b59f2a3efe8e829c85ce142b8

Hashemian, A., Garcia, D., Pardo, D., Calo, V.M., Refined isogeometric analysis of quadratic eigenvalue problems (2022) Computer Methods in Applied Mechanics and Engineering, 399, art. no. 115327, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134392313&doi=10.1016%2fj.cma.2022.115327&partnerID=40&md5=3d4b0d592f680262de2dd0ab1c51fe99

Noh, K., Torres-Verdin, C., Pardo, D., Real-Time 2.5D Inversion of LWD Resistivity Measurements Using Deep Learning for Geosteering Applications Across Faulted Formations (2022) Petrophysics, 63 (4), pp. 506-518. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141484697&doi=10.30632%2fPJV63N4-2022a2&partnerID=40&md5=d2a6bec21ff35a713b68044cc7428968

Oregi, I., Pérez, A., Del Ser, J., Lozano, J.A. An active adaptation strategy for streaming time series classification based on elastic similarity measures (2022) Neural Computing and Applications, 34 (16), pp. 13237-13252. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130288331&doi=10.1007%2fs00521-022-07358-3&partnerID=40&md5=8b55166ab5e77f60cbf5c3e0d0b54ad9

Fernandez-Navamuel, A., Magalhães, F., Zamora-Sánchez, D., Omella, Á.J., Garcia-Sanchez, D., Pardo, D. Deep learning enhanced principal component analysis for structural health monitoring (2022) Structural Health Monitoring, 21 (4), pp. 1710-1722. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122951087&doi=10.1177%2f14759217211041684&partnerID=40&md5=d5111f378eff7f05d59d5871e6130657 

Barredo Arrieta, A., Gil-Lopez, S., Laña, I., Bilbao, M.N., Del Ser, J. On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification (2022) Neural Computing and Applications, 34 (13), pp. 10257-10277. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111830181&doi=10.1007%2fs00521-021-06359-y&partnerID=40&md5=0de7ea507506ec64059c6db0132535af 

Manibardo, E.L., Lana, I., Ser, J.D. Deep Learning for Road Traffic Forecasting: Does it Make a Difference?(2022) IEEE Transactions on Intelligent Transportation Systems, 23 (7), pp. 6164-6188. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111012573&doi=10.1109%2fTITS.2021.3083957&partnerID=40&md5=337d2a2e3f55260a2f493522e5f78083

Antoñana, M., Alberdi, E., Makazaga, J., Murua, A., An implicit symplectic solver for high-precision long-term integrations of the Solar System (2022) Celestial Mechanics and Dynamical Astronomy, 134 (3), art. no. 31, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131433720&doi=10.1007%2fs10569-022-10081-9&partnerID=40&md5=39a99369dda192d80904c33ad870e805

Nan, Y., Del Ser, J., Walsh, S., Schönlieb, C., Roberts, M., Selby, I., Howard, K., Owen, J., Neville, J., Guiot, J., Ernst, B., Pastor, A., Alberich-Bayarri, A., Menzel, M.I., Walsh, S., Vos, W., Flerin, N., Charbonnier, J.-P., van Rikxoort, E., Chatterjee, A., Woodruff, H., Lambin, P., Cerdá-Alberich, L., Martí-Bonmatí, L., Herrera, F., Yang, G., Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions (2022) Information Fusion, 82, pp. 99-122. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123598870&doi=10.1016%2fj.inffus.2022.01.001&partnerID=40&md5=c69075638eb44d86898e1c006652c702

Muñoz-Matute, J., Pardo, D., Calo, V.M. Exploiting the Kronecker product structure of φ−functions in exponential integrators (2022) International Journal for Numerical Methods in Engineering, 123 (9), pp. 2142-2161. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125367432&doi=10.1002%2fnme.6929&partnerID=40&md5=f9f825ea8d7e4608a3c3f4fdcd5f60d9

Wang, S., Liu, X., Liu, S., Muhammad, K., Heidari, A.A., Ser, J.D., De Albuquerque, V.H.C., Human Short Long-Term Cognitive Memory Mechanism for Visual Monitoring in IoT-Assisted Smart Cities (2022) IEEE Internet of Things Journal, 9 (10), pp. 7128-7139. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105855202&doi=10.1109%2fJIOT.2021.3077600&partnerID=40&md5=159857e7f20a30e6ed9ed0ba93003d37

Osaba, E., Del Ser, J., Martinez, A.D., Hussain, A. Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions (2022) Cognitive Computation, 14 (3), pp. 927-954. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128253790&doi=10.1007%2fs12559-022-10012-8&partnerID=40&md5=278b0ac72905ed82fd001e5233bea5d4

Miguelez, F., Doncel, J., Prabhu, B.J. Load-balancing for multi-skilled servers with Bernoulli routing (2022) Annals of Operations Research, 312 (2), pp. 949-971.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123179134&doi=10.1007%2fs10479-022-04532-7&partnerID=40&md5=05289113f66da95b2d92668583ebab64

Wu, C., Zhang, H., Chen, J., Gao, Z., Zhang, P., Muhammad, K., Del Ser, J. Vessel-GAN: Angiographic reconstructions from myocardial CT perfusion with explainable generative adversarial networks (2022) Future Generation Computer Systems, 130, pp. 128-139. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122322272&doi=10.1016%2fj.future.2021.12.007&partnerID=40&md5=12a5ad9546f2f8044b65dedf4774ce40

Fernandez-Navamuel, A., Zamora-Sánchez, D., Omella, Á.J., Pardo, D., Garcia-Sanchez, D., Magalhães, F. Supervised Deep Learning with Finite Element simulations for damage identification in bridges (2022) Engineering Structures, 257, art. no. 114016, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125603042&doi=10.1016%2fj.engstruct.2022.114016&partnerID=40&md5=eebd113a17fb0ca3b3d190bb77d5bdfa

Cadas, A., Doncel, J., Bušić, A., Analysis of an optimal policy in dynamic bipartite matching models (2022) Performance Evaluation, 154, art. no. 102286, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126378918&doi=10.1016%2fj.peva.2022.102286&partnerID=40&md5=cbc345b87ee79a24269e9e4ee0f1a53b

Rivera, J.A., Taylor, J.M., Omella, Á.J., Pardo, D. On quadrature rules for solving Partial Differential Equations using Neural Networks (2022) Computer Methods in Applied Mechanics and Engineering, 393, art. no. 114710, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125119495&doi=10.1016%2fj.cma.2022.114710&partnerID=40&md5=f6ca0db8b85935dbc45bc1e85ff230ff

Ullah, W., Ullah, A., Hussain, T., Muhammad, K., Heidari, A.A., Del Ser, J., Baik, S.W., De Albuquerque, V.H.C. Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data (2022) Future Generation Computer Systems, 129, pp. 286-297. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121546312&doi=10.1016%2fj.future.2021.10.033&partnerID=40&md5=9d7c3a9c34d01e3e9702ba0ee036895e

Martinez, A.D., Del Ser, J., Osaba, E., Herrera, F. Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning (2022) IEEE Transactions on Evolutionary Computation, 26 (2), pp. 233-247. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107232821&doi=10.1109%2fTEVC.2021.3083362&partnerID=40&md5=b57b7fadfb39d8875e443f6f9e1a6cf6

Doncel, J., Gast, N., Gaujal, B. A MEAN FIELD GAME ANALYSIS of SIR DYNAMICS with VACCINATION (2022) Probability in the Engineering and Informational Sciences, 36 (2), pp. 482-499.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096318586&doi=10.1017%2fS0269964820000522&partnerID=40&md5=a463ba8f78df2ded8faaf42c5aa066a5

Molina, D., Poyatos, J., Osaba, E., Del Ser, J., Herrera, F., Nature- and bio-inspired optimization: The good, the bad, the ugly and the hopeful [Optimización inspirada en la naturaleza y en la biología: Lo bueno, lo malo, lo feo y lo esperanzador] (2022) Dyna (Spain), 97 (2), pp. 114-117. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126098014&doi=10.6036%2f10331&partnerID=40&md5=64519ce8587f8f3cc04fcbe4f661687d

Uriarte, C., Pardo, D., Omella, Á.J., A Finite Element based Deep Learning solver for parametric PDEs (2022) Computer Methods in Applied Mechanics and Engineering, 391, art. no. 114562, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123318386&doi=10.1016%2fj.cma.2021.114562&partnerID=40&md5=0ed3307186e65974ca006efea24a3511

Muñoz-Matute, J., Demkowicz, L., Pardo, D. Error representation of the time-marching DPG scheme (2022) Computer Methods in Applied Mechanics and Engineering, 391, art. no. 114480, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123031431&doi=10.1016%2fj.cma.2021.114480&partnerID=40&md5=206e4b03a32a81cdf9c6cf757b064793

Holzinger, A., Dehmer, M., Emmert-Streib, F., Cucchiara, R., Augenstein, I., Ser, J.D., Samek, W., Jurisica, I., Díaz-Rodríguez, N. Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence (2022) Information Fusion, 79, pp. 263-278. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119285419&doi=10.1016%2fj.inffus.2021.10.007&partnerID=40&md5=6d62a961843ec279ab47d0d8d93efc2d

Shahriari, M., Hazra, A., Pardo, D., A deep learning approach to design a borehole instrument for geosteering (2022) Geophysics, 87 (2), pp. D83-D90.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125296594&doi=10.1190%2fgeo2021-0240.1&partnerID=40&md5=2ffc2d0a88f8797b9ef86b620f75ffce

Abedi, M.M., Pardo, D., Nonhyperbolic normal moveout stretch correction with deep learning automation (2022) Geophysics, 87 (2), pp. U57-U66. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125350483&doi=10.1190%2fgeo2021-0489.1&partnerID=40&md5=76935592adb13a33c766528ac291cdd5

Muhammad, K., Del Ser, J., Magaia, N., Fonseca, R., Hussain, T., Gandomi, A.H., Daneshmand, M., de Albuquerque, V.H.C., Communication Technologies for Edge Learning and Inference: A Novel Framework, Open Issues, and Perspectives (2022) IEEE Network, pp. 1-7. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146256806&doi=10.1109%2fMNET.125.2100771&partnerID=40&md5=efd310bb162be4d05eacea1badc44f9c

Gao, Z., Guo, S., Xu, C., Zhang, J., Gong, M., Del Ser, J., Li, S., Multi-domain Adversarial Variational Bayesian Inference for Domain Generalization (2022) IEEE Transactions on Circuits and Systems for Video Technology, pp. 1-1. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146234522&doi=10.1109%2fTCSVT.2022.3232112&partnerID=40&md5=032137efa3f445a8d15e328afb8e076d

Li, H., Nan, Y., Del Ser, J., Yang, G., Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation (2022) Neural Computing and Applications, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142134153&doi=10.1007%2fs00521-022-08016-4&partnerID=40&md5=c4d410b19a5bb5327540ff8c39fc6a12

Gómez-Pereira, E., Burgos, J., Mendoza, R., Pérez-Ruiz, I., Olaso, F., García, D., Malaina, I., Matorras, R., Endometriosis Increases the Risk of Placenta Previa in Both IVF Pregnancies and the General Obstetric Population (2022) Reproductive Sciences, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136547033&doi=10.1007%2fs43032-022-01054-2&partnerID=40&md5=5554595059b7b1ec77fe11b5396d76fe

Martínez, L., García, M.A., Legarreta, L., Malaina, I., Cyclotomic association schemes of broad classes and applications to the construction of combinatorial structures (2022) Art of Discrete and Applied Mathematics, 5 (3), art. no. P3.02, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134521420&doi=10.26493%2f2590-9770.1436.0f3&partnerID=40&md5=db1f338cc26b13413ec391ac4196ee69

Esteban, C., Arostegui, I., Aramburu, A., Moraza, J., Aburto, M., Aizpiri, S., Chasco, L., Quintana, J.M. Changes in health-related quality of life as a marker in the prognosis in COPD patients (2022) ERJ Open Research, 8 (1), art. no. 00181-2021, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127711528&doi=10.1183%2f23120541.00181-2021&partnerID=40&md5=f80bbb7780e5e27ecd000576c21ddc7d

Xing, X., Del Ser, J., Wu, Y., Li, Y., Xia, J., Lei, X., Firmin, D., Gatehouse, P., Yang, G., HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis (2022) IEEE Journal of Biomedical and Health Informatics, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126540214&doi=10.1109%2fJBHI.2022.3158897&partnerID=40&md5=28470c0e8c00f48d38f5196ca936d2dd

Mendia, I., Gil-Lopez, S., Grau, I., Del Ser, J., A novel approach for the detection of anomalous energy consumption patterns in industrial cyber-physical systems (2022) Expert Systems, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125188508&doi=10.1111%2fexsy.12959&partnerID=40&md5=271d25ddb92be143bc1084a14ae8d506

Zhou, X., Ye, Q., Yang, X., Chen, J., Ma, H., Xia, J., Del Ser, J., Yang, G., AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus (2022) Neural Computing and Applications, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125136847&doi=10.1007%2fs00521-022-07048-0&partnerID=40&md5=982b852595ee0600a723bc585c730b1b

Ayesta, U., Bodas, T., Dorsman, J.-P.L., Verloop, I.M., A Token-Based Central Queue with Order-Independent Service Rates (2022) Operations Research, 70 (1), pp. 545-561. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125014104&doi=10.1287%2fopre.2020.2088&partnerID=40&md5=865df4dfef8cff37b9050c33538e42dc

Noh, K., Pardo, D., Torres-Verdin, C., 2.5-D Deep Learning Inversion of LWD and Deep-Sensing em Measurements Across Formations with Dipping Faults (2022) IEEE Geoscience and Remote Sensing Letters, 19, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123540347&doi=10.1109%2fLGRS.2021.3128965&partnerID=40&md5=25e7625e00a1b55ebbbbfd5793a5ede5

Torregrosa, J., Bello-Orgaz, G., Martínez-Cámara, E., Ser, J.D., Camacho, D., A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges (2022) Journal of Ambient Intelligence and Humanized Computing, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122834709&doi=10.1007%2fs12652-021-03658-z&partnerID=40&md5=4bf7a60ce734fdebbd28ddc699cf5df8

Larruskain, J., Lekue, J.A., Martin-Garetxana, I., Barrio, I., McCall, A., Gil, S.M., Injuries are negatively associated with player progression in an elite football academy (2022) Science and Medicine in Football, 6 (4), pp. 405-414. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112713045&doi=10.1080%2f24733938.2021.1943756&partnerID=40&md5=87177b76b5cda008eadde6ea969e2b23 

Samain, S., Doncel, J., Busic, A., Fourneau, J.-M. Multiclass Energy Packet Networks with finite capacity energy queues (2021) Performance Evaluation, 152, art. no. 102228, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117392897&doi=10.1016%2fj.peva.2021.102228&partnerID=40&md5=00ee06aef9def140b6c4de8c02f7555b

LaTorre, A., Molina, D., Osaba, E., Poyatos, J., Del Ser, J., Herrera, F. A prescription of methodological guidelines for comparing bio-inspired optimization algorithms (2021) Swarm and Evolutionary Computation, 67, art. no. 100973, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114019381&doi=10.1016%2fj.swevo.2021.100973&partnerID=40&md5=1a409d3f61d1a78662b4a54dddd1bb0a

González, N., Loroño, A., Aguirre, U., Lázaro, S., Baré, M., Redondo, M., Briones, E., Sarasqueta, C., Bilbao, A., de Larrea, N.F., Quintana, J.M., Quintana, J.M., Baré, M., Redondo, M., Briones, E., de Larrea, N.F., Sarasqueta, C., Escobar, A., Rivas, F., Morales-Suárez-Varela, M.M., Blasco, J.A., del Cura, I., Arostegui, I., Barrio, I., Bilbao, A., González, N., García-Gutiérrez, S., Lafuente, I., Aguirre, U., Orive, M., Martin, J., Antón-Ladislao, A., Torà, N., Pont, M., del Prado, M.P.M., Loizate, A., Zabalza, I., Errasti, J., Gimeno, A.Z., Lázaro, S., Comas, M., Enríquez, J.M., Placer, C., Perales, A., Urkidi, I., Erro, J.M., Cormenzana, E., Lacasta, A., Piera, P., Campano, E., Sotelo, A.I., Gómez-Abril, S., Medina-Cano, F., Alcaide, J., Del Rey-Moreno, A., Alcántara, M.J., Campo, R., Casalots, A., Pericay, C., Gil, M.J., Pera, M., Collera, P., Espinàs, J.A., Martínez, M., Espallargues, M., Almazán, C., Lindenbaum, P.D., Fernández-Cebrián, J.M., Anula, R., Mayol, J., Cantero, R., Guadalajara, H., Garceau, M.A., García, D., Morey, M., Colina, A., for the REDISSEC-CARESS/CCR group, Risk scores to predict mortality 2 and 5 years after surgery for colorectal cancer in elderly patients (2021) World Journal of Surgical Oncology, 19 (1), art. no. 252, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113621539&doi=10.1186%2fs12957-021-02356-6&partnerID=40&md5=e570c27b6a80052b0386ebbfeadc3f86

Doncel, J. Age of information of parallel server systems with energy harvesting (2021) Entropy, 23 (11), art. no. 1549, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120004938&doi=10.3390%2fe23111549&partnerID=40&md5=2a63c8dbb17dafbfb63a19d779c7696d

Lobo, J.L., Del Ser, J., Osaba, E., Bifet, A., Herrera, F. CURIE: a cellular automaton for concept drift detection (2021) Data Mining and Knowledge Discovery, 35 (6), pp. 2655-2678. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114174644&doi=10.1007%2fs10618-021-00776-2&partnerID=40&md5=871404f3b70305e9d618ceedeb22dd11

Unanue-Arza, S., Portillo, I., Idígoras, I., Arostegui, I., Arana-Arri, E. Facilitators and barriers to participation in population-based colorectal cancer screening programme from the perspective of healthcare professionals: Qualitative research study (2021) European Journal of Cancer Care, 30 (6), art. no. e13507, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113898548&doi=10.1111%2fecc.13507&partnerID=40&md5=e09e2483617dd6b47d26d963aa945ff2

Hashemian, A., Garcia, D., Rivera, J.A., Pardo, D. Massive database generation for 2.5D borehole electromagnetic measurements using refined isogeometric analysis (2021) Computers and Geosciences, 155, art. no. 104808, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108431798&doi=10.1016%2fj.cageo.2021.104808&partnerID=40&md5=73352b07a3b0d7a4cada01f8fbda5b96

Migúelez, F., Doncel, J., Ayesta, U., A Resource Sharing Game for the Freshness of Status Updates (2021) Performance Evaluation Review, 49 (2), pp. 15-17. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123320652&doi=10.1145%2f3512798.3512805&partnerID=40&md5=30ba6607549ca0ce2a0d8eab6f05da94

Robledo, F., Borkar, V., Ayesta, U., Avrachenkov, K. QWI: Q-learning with Whittle Index (2021) Performance Evaluation Review, 49 (2), pp. 47-50. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123290336&doi=10.1145%2f3512798.3512816&partnerID=40&md5=1c680690dbe288788f3fadd22c404cc7

Anton, E., Ayesta, U., Jonckheere, M., Verloop, I.M. On the stability of redundancy models (2021) Operations Research, 69 (5), pp. 1540-1565. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108539518&doi=10.1287%2fopre.2020.2030&partnerID=40&md5=880614c01d9c9834729bd031a5ed8be8

Osaba, E., Del Ser, J., Martinez, A.D., Lobo, J.L., Herrera, F. AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking (2021) Information Sciences, 570, pp. 577-598.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107657283&doi=10.1016%2fj.ins.2021.05.005&partnerID=40&md5=054c43d24b36195af643603b4a617059

Abedi, M.M., Pardo, D., Stovas, A. Approximations for traveltime, slope, curvature, and geometrical spreading of elastic waves in layered transversely isotropic media (2021) Geophysics, 86 (6), .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114699840&doi=10.1190%2fgeo2021-0215.1&partnerID=40&md5=470e4fbc71dd5b42f85dd4c683799cda

Hashemian, A., Pardo, D., Calo, V.M. Refined isogeometric analysis for generalized Hermitian eigenproblems (2021) Computer Methods in Applied Mechanics and Engineering, 381, art. no. 113823, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104068571&doi=10.1016%2fj.cma.2021.113823&partnerID=40&md5=f1233a2edcf824be89803b7c8ef75e94

Osaba, E., Villar-Rodriguez, E., Del Ser, J., Nebro, A.J., Molina, D., LaTorre, A., Suganthan, P.N., Coello Coello, C.A., Herrera, F. A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems (2021) Swarm and Evolutionary Computation, 64, art. no. 100888, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107680095&doi=10.1016%2fj.swevo.2021.100888&partnerID=40&md5=73c687ab24c6a797a78d127139e1ba97

Doncel, J., Mancuso, V. Optimal performance of parallel-server systems with job size prediction errors (2021) Operations Research Letters, 49 (4), pp. 459-464. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105709231&doi=10.1016%2fj.orl.2021.05.007&partnerID=40&md5=339c24c80033e0de261ad0cd2bf36517

Maciąg, P.S., Kryszkiewicz, M., Bembenik, R., L. Lobo, J., Del Ser, J. Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks (2021) Neural Networks, 139, pp. 118-139.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102066990&doi=10.1016%2fj.neunet.2021.02.017&partnerID=40&md5=4deb1892e2c4ba17e04f10a5c6410d09

Zhang, W., Yang, G., Zhang, N., Xu, L., Wang, X., Zhang, Y., Zhang, H., Del Ser, J., de Albuquerque, V.H.C. Multi-task learning with Multi-view Weighted Fusion Attention for artery-specific calcification analysis (2021) Information Fusion, 71, pp. 64-76. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100463819&doi=10.1016%2fj.inffus.2021.01.009&partnerID=40&md5=5f2d630b0101c91cfdc9d364fee5a9c2

Alyaev, S., Shahriari, M., Pardo, D., Omella, Á.J., Larsen, D.S., Jahani, N., Suter, E. Modeling extra-deep electromagnetic logs using a deep neural network (2021) Geophysics, 86 (3), pp. E269-E281.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119321454&doi=10.1190%2fgeo2020-0389.1&partnerID=40&md5=4816f548d31a7520cc2fc7496b09c103

Rojas, S., Pardo, D., Behnoudfar, P., Calo, V.M. Goal-oriented adaptivity for a conforming residual minimization method in a dual discontinuous Galerkin norm (2021) Computer Methods in Applied Mechanics and Engineering, 377, art. no. 113686, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100761633&doi=10.1016%2fj.cma.2021.113686&partnerID=40&md5=0f6b63aaeb64ce352108d4f4bc26f709

Bachmat, E., Doncel, J. Size-based routing policies: Non-asymptotic analysis and design of decentralized systems† (2021) Sensors, 21 (8), art. no. 2701, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103903967&doi=10.3390%2fs21082701&partnerID=40&md5=f86e83ed87aa4fc62366e98a6b2d9890

Doncel, J., Assaad, M. Age of Information of Jackson Networks with Finite Buffer Size (2021) IEEE Wireless Communications Letters, 10 (4), art. no. 9313041, pp. 902-906. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099251034&doi=10.1109%2fLWC.2021.3049198&partnerID=40&md5=c1266525c1af8afe454e39d77cc4f5ee

Shahriari, M., Pardo, D., Rivera, J.A., Torres-Verdín, C., Picon, A., Del Ser, J., Ossandón, S., Calo, V.M. Error control and loss functions for the deep learning inversion of borehole resistivity measurements (2021) International Journal for Numerical Methods in Engineering, 122 (6), pp. 1629-1657. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099013066&doi=10.1002%2fnme.6593&partnerID=40&md5=1bb29f2bae0c73e132c3e39d7fb243dd

Muñoz-Matute, J., Pardo, D., Demkowicz, L. Equivalence between the DPG method and the exponential integrators for linear parabolic problems (2021) Journal of Computational Physics, 429, art. no. 110016, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097236900&doi=10.1016%2fj.jcp.2020.110016&partnerID=40&md5=65d69d86194dee1abd4e61c89a40f32e

Abedi, M.M., Pardo, D. Large-offset P-wave traveltime in layered transversely isotropic media (2021) Geophysics, 86 (3), pp. C65-C74. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114680624&doi=10.1190%2fgeo2020-0415.1&partnerID=40&md5=36a0667ad5cd22dc92b39c92914a5dc2

Omella, Á.J., Alvarez-Aramberri, J., Strugaru, M., Darrigrand, V., Pardo, D., González, H., Santos, C. A simulation method for the computation of the effective P-wave velocity in heterogeneous rocks (2021) Computational Mechanics, 67 (3), pp. 845-865. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100047197&doi=10.1007%2fs00466-020-01966-3&partnerID=40&md5=1cca9712cf1d0d4ff6e04738205cd23f

Martinez, A.D., Del Ser, J., Villar-Rodriguez, E., Osaba, E., Poyatos, J., Tabik, S., Molina, D., Herrera, F. Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges (2021) Information Fusion, 67, pp. 161-194.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094325767&doi=10.1016%2fj.inffus.2020.10.014&partnerID=40&md5=93fd17972954b6b663e0b9fed9938947

Ayesta, U., Gupta, M.K., Verloop, I.M. On the computation of Whittle’s index for Markovian restless bandits (2021) Mathematical Methods of Operations Research, 93 (1), pp. 179-208.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095955850&doi=10.1007%2fs00186-020-00731-9&partnerID=40&md5=ff82e96e0d73cec156c84fce96417d3c

Unanue-Arza, S., Arana-Arri, E., Portillo, I., Arostegui, I. Involvement of the Primary Healthcare professionals in the Colorectal Cancer Screening Programme of the Basque Country [Implicación de los profesionales de atención primaria en el programa de detección precoz de cáncer colorrectal del País Vasco] (2021) Revista espanola de salud publica, 95, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100451061&partnerID=40&md5=e014e8c9f540fc1d1f228464bff66792

L. Lobo, J., Del Ser, J., Herrera, F. LUNAR: Cellular automata for drifting data streams (2021) Information Sciences, 543, pp. 467-487.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091658271&doi=10.1016%2fj.ins.2020.08.064&partnerID=40&md5=3abc1a468258ad278ea9b9cdcbd7ce65

Doncel, J. Age of information of a server with energy requirements (2021) PeerJ Computer Science, 7, art. no. e354, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115834465&doi=10.7717%2fpeerj-cs.354&partnerID=40&md5=4993d8673b00ba1f953ae4fc0d914a48

Larruskain, J., Lekue, J.A., Martin-Garetxana, I., Barrio, I., McCall, A., Gil, S.M. Injuries are negatively associated with player progression in an elite football academy (2021) Science and Medicine in Football, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112713045&doi=10.1080%2f24733938.2021.1943756&partnerID=40&md5=87177b76b5cda008eadde6ea969e2b23

Torre-Bastida, A.I., Díaz-de-Arcaya, J., Osaba, E., Muhammad, K., Camacho, D., Del Ser, J. Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions (2021) Neural Computing and Applications, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111886159&doi=10.1007%2fs00521-021-06332-9&partnerID=40&md5=bb91b900f46b59b118083575cd16f3b5

Barredo Arrieta, A., Gil-Lopez, S., Laña, I., Bilbao, M.N., Del Ser, J. On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification (2021) Neural Computing and Applications, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111830181&doi=10.1007%2fs00521-021-06359-y&partnerID=40&md5=0de7ea507506ec64059c6db0132535af

Martinez, A.D., Del Ser, J., Osaba, E., Herrera, F. Adaptive Multi-factorial Evolutionary Optimization for Multi-task Reinforcement Learning (2021) IEEE Transactions on Evolutionary Computation, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107232821&doi=10.1109%2fTEVC.2021.3083362&partnerID=40&md5=b57b7fadfb39d8875e443f6f9e1a6cf6

Wang, S., Liu, X., Liu, S., Muhammad, K., Heidari, A.A., Del Ser, J., de Albuquerque, V.H.C. Human Short-Long Term Cognitive Memory Mechanism for Visual Monitoring in IoT-Assisted Smart Cities (2021) IEEE Internet of Things Journal, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105855202&doi=10.1109%2fJIOT.2021.3077600&partnerID=40&md5=159857e7f20a30e6ed9ed0ba93003d37

Doncel, J., De La Pisa, L., Santos, A., Anta, A.F. A fair and scalable mechanism for resource allocation: The multilevel qpq approach (2021) IEEE Access, 9, art. no. 9310174, pp. 19439-19456.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099113290&doi=10.1109%2fACCESS.2020.3047905&partnerID=40&md5=60282c178aed9118d0afb6c564b67d79

Antonana, M., Chartier, P., Makazaga, J., Murua, A. Global Time-Renormalization of the Gravitational N-body Problem (2021) SIAM Journal on Applied Dynamical Systems, 19 (4), pp. 2658-2681.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098918502&doi=10.1137%2f20M1314719&partnerID=40&md5=d0d7c1c1c23a1f069640d35ae520d7c8

Muñoz-Matute, J., Pardo, D., Demkowicz, L. A DPG-based time-marching scheme for linear hyperbolic problems (2021) Computer Methods in Applied Mechanics and Engineering, 373, art. no. 113539, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096359000&doi=10.1016%2fj.cma.2020.113539&partnerID=40&md5=1e8d02274af49a20763c4c832eb932ba

Omella, Á.J., Celorrio, R., Pardo, D. Sensitivity and uncertainty analysis by discontinuous Galerkin of lock-in thermography for crack characterization (2021) Computer Methods in Applied Mechanics and Engineering, 373, art. no. 113523, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096224867&doi=10.1016%2fj.cma.2020.113523&partnerID=40&md5=3988fdd4c12a127d0aa5630ceb013a4c

Doncel, J., Fourneau, J.-M. ENERGY PACKET NETWORKS with MULTIPLE ENERGY PACKET REQUIREMENTS (2021) Probability in the Engineering and Informational Sciences, 35 (1), pp. 92-110.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067275743&doi=10.1017%2fS0269964819000226&partnerID=40&md5=a823b67d4f2f1d8896334e012418b23b

González, S., García, S., Del Ser, J., Rokach, L., Herrera, F., A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities (2020) Information Fusion, 64, pp. 205-237. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089214531&doi=10.1016%2fj.inffus.2020.07.007&partnerID=40&md5=cdd28de7fbcae92a8fe92f224df8926d

Muhammad, K., Khan, S., Kumar, N., Del Ser, J., Mirjalili, S., Vision-based personalized Wireless Capsule Endoscopy for smart healthcare: Taxonomy, literature review, opportunities and challenges (2020) Future Generation Computer Systems, 113, pp. 266-280. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087890213&doi=10.1016%2fj.future.2020.06.048&partnerID=40&md5=109178b43a0c35cd19aa65ec52736819

Osaba, E., Sanchez Medina, J.J., Vlahogianni, E.I., Yang, X.-S., Masegosa, A.D., Perez Rastelli, J., Del Ser, J. Data-Driven Optimization for Transportation Logistics and Smart Mobility Applications [Guest Editorial] (2020) IEEE Intelligent Transportation Systems Magazine, 12 (4), art. no. 9240012, pp. 6-9. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095684456&doi=10.1109%2fMITS.2020.3017033&partnerID=40&md5=f9f61e5df368a2ef1fa4ee0113c41894

Díaz-De-arcaya, J., Miñón, R., Torre-Bastida, A.I., Del Ser, J., Almeida, A., Padl: A modeling and deployment language for advanced analytical services (2020) Sensors (Switzerland), 20 (23), art. no. 6712, pp. 1-28. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096580221&doi=10.3390%2fs20236712&partnerID=40&md5=067dc6d8a66f166e5ae78dfdce4a3a01

Garcia-Sanchez, D., Fernandez-Navamuel, A., Sánchez, D.Z., Alvear, D., Pardo, D., Bearing assessment tool for longitudinal bridge performance (2020) Journal of Civil Structural Health Monitoring, 10 (5), pp. 1023-1036. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090246322&doi=10.1007%2fs13349-020-00432-1&partnerID=40&md5=2f8f40e0150885980ed85c6f02c2e81c

Gumaei, A., Hassan, M.M., Huda, S., Hassan, M.R., Camacho, D., Del Ser, J., Fortino, G., A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids (2020) Applied Soft Computing Journal, 96, art. no. 106658, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090425637&doi=10.1016%2fj.asoc.2020.106658&partnerID=40&md5=36d397bd4d27a4fe5a85ecc9a6f74c76

Ayesta, U., Prabhu, B., Righter, R., SCHEDULING in A SINGLE-SERVER QUEUE with STATE-DEPENDENT SERVICE RATES (2020) Probability in the Engineering and Informational Sciences, 34 (4), pp. 507-521. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065962079&doi=10.1017%2fS0269964819000160&partnerID=40&md5=03e242d65dca793b88346a248c53c7a5

Darrigrand, V., Pardo, D., Chaumont-Frelet, T., Gómez-Revuelto, I., Garcia-Castillo, L.E., A painless automatic hp-adaptive strategy for elliptic problems (2020) Finite Elements in Analysis and Design, 178, art. no. 103424, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088923087&doi=10.1016%2fj.finel.2020.103424&partnerID=40&md5=79c41e96c2da9eb62db5c40bfcf230b2

Bachmat, E., Doncel, J., Sarfati, H., Analysis of the Task Assignment based on Guessing Size policy (2020) Performance Evaluation, 142, art. no. 102122, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087341117&doi=10.1016%2fj.peva.2020.102122&partnerID=40&md5=42371257b3bcbc7b49ac196d520b61a5

Muhammad, K., Hussain, T., Del Ser, J., Palade, V., De Albuquerque, V.H.C., DeepReS: A Deep Learning-Based Video Summarization Strategy for Resource-Constrained Industrial Surveillance Scenarios (2020) IEEE Transactions on Industrial Informatics, 16 (9), art. no. 8936419, pp. 5938-5947. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081048977&doi=10.1109%2fTII.2019.2960536&partnerID=40&md5=a916f4b334917359b1861b4c740a7e62

Oregi, I., Del Ser, J., Pérez, A., Lozano, J.A., Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences (2020) Neural Networks, 128, pp. 61-72. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084740542&doi=10.1016%2fj.neunet.2020.04.030&partnerID=40&md5=46d83b4c01c16667b7935745891d5bbc

Shahriari, M., Pardo, D., Picon, A., Galdran, A., Del Ser, J., Torres-Verdín, C., A deep learning approach to the inversion of borehole resistivity measurements (2020) Computational Geosciences, 24 (3), pp. 971-994. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083774995&doi=10.1007%2fs10596-019-09859-y&partnerID=40&md5=2bcb7461965136db7a52b7287f176260

Shahriari, M., Pardo, D., Borehole resistivity simulations of oil-water transition zones with a 1.5D numerical solver (2020) Computational Geosciences, 24 (3), pp. 1285-1299.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082831387&doi=10.1007%2fs10596-020-09946-5&partnerID=40&md5=0c5aeb111027416e019f1078f33429f0

Tu, X., Murua, A., Tang, Y., New high order symplectic integrators via generating functions with its application in many-body problem (2020) BIT Numerical Mathematics, 60 (2), pp. 509-535. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075415936&doi=10.1007%2fs10543-019-00785-0&partnerID=40&md5=ce29f26444ab1ee175210075695a51f1

Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R. Chatila, R., Herrera, F., Explainable Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI (2020) Information Fusion, 58, pp. 82-115.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077515399&doi=10.1016%2fj.inffus.2019.12.012&partnerID=40&md5=720e37936410af916e3efe40346dbeed

Ortego, P., Diez-Olivan, A., Del Ser, J., Veiga, F., Penalva, M., Sierra, B., Evolutionary LSTM-FCN networks for pattern classification in industrial processes (2020) Swarm and Evolutionary Computation, 54, art. no. 100650, .  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078973550&doi=10.1016%2fj.swevo.2020.100650&partnerID=40&md5=8946c8f98d879da572a3c3a430237601

Quintana, J.M., Anton-Ladislao, A., Lázaro, S., Gonzalez, N., Bare, M., de Larrea, N.F., Redondo, M., Briones, E., Escobar, A., Sarasqueta, C., Garcia-Gutierrez, S., Quintana, J.M., Baré, M., Fernández-de-Larrea, N., Rivas, F., Morales-Suárez-Varela, M.M., Blasco, J.A., del Cura, I., Arostegui, I., Bilbao, A., González, N., García-Gutiérrez, S., Lafuente, I., Aguirre, U., Orive, M., Martin, J., Antón-Ladislao, A., Torà, N., Pont, M., del Prado, M.P.M., Loizate, A., Zabalza, I., Alustiza, J.E., Gimeno, A.Z., Comas, M., Enríquez, J.M., Placer, C., Perales, A., Urkidi, I., Erro, J.M., Cormenzana, E., Lacasta, A., Pibernat, P.P., Campano, E., Sotelo, A.I., Gómez-Abril, S., Medina-Cano, F., Alcaide, J., Del Rey-Moreno, A., Alcántara, M.J., Campo, R., Casalots, A., Pericay, C., Gil, M.J., Pera, M., Collera, P., Espinàs, J.A., Martínez, M., Espallargues, M., Almazán, C., Lindenbaum, P.D., Fernández-Cebrián, J.M., Anula, R., Mayol, J.Á., Cantero, R., Guadalajara, H., Heras, M., García, D., Morey, M., Colina, A., The REDISSEC CARESS-CCR (Results and Health Services Research in Colorectal Cancer)- group Predictors of readmission and reoperation in patients with colorectal cancer (2020) Supportive Care in Cancer, 28 (5), pp. 2339-2350.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072177118&doi=10.1007%2fs00520-019-05050-2&partnerID=40&md5=93a8742648f5ec4d9839b503eb87ac15

Hussain, T., Muhammad, K., Ser, J.D., Baik, S.W., De Albuquerque, V.H.C., Intelligent Embedded Vision for Summarization of Multiview Videos in IIoT (2020) IEEE Transactions on Industrial Informatics, 16 (4), art. no. 8815938, pp. 2592-2602 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078699287&doi=10.1109%2fTII.2019.2937905&partnerID=40&md5=2a61b9997d1585de7c0b4302618e2017

Doncel, J., Performance balancing size-interval routing policies (2020) INFOR, 58 (4), pp. 635-651. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094913801&doi=10.1080%2f03155986.2020.1743039&partnerID=40&md5=52860032f9bc37ff17372fe07375ca52

Lobo, J.L., Oregi, I., Bifet, A., Del Ser, J., Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning (2020) Neural Networks, 123, pp. 118-133. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076240557&doi=10.1016%2fj.neunet.2019.11.021&partnerID=40&md5=fb0b7fd05c6442905970cb053f0247ff

Thraves Caro, C., Doncel, J., Brun, O., Optimal Path Discovery Problem with Homogeneous Knowledge (2020) Theory of Computing Systems, 64 (2), pp. 227-250. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066076400&doi=10.1007%2fs00224-019-09928-w&partnerID=40&md5=b73026c81edfff169335cf078aea84c8

Gorria, C., Labata, G., Lezaun, M., López, F.J., Pérez Aliaga, A.I., Pérez Vaquero, M.Á., Impact of implementing pathogen reduction technologies for platelets on reducing outdates (2020) Vox Sanguinis, 115 (2), pp. 167-173. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075467988&doi=10.1111%2fvox.12860&partnerID=40&md5=f2fb62c355858eac0c32e5886072299d

Del Ser, J., Osaba, E., Sanchez-Medina, J., Fister, I., Fister, I., Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead (2020) IEEE Transactions on Intelligent Transportation Systems, 21 (2), art. no. 8661647, pp. 466-495. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081085163&doi=10.1109%2fTITS.2019.2897377&partnerID=40&md5=6f01edcccc73b3f9158a5f743dba40c8

Osaba, E., Del Ser, J., Camacho, D., Bilbao, M.N., Yang, X.-S., Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics (2020) Applied Soft Computing Journal, 87, art. no. 106010, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076786258&doi=10.1016%2fj.asoc.2019.106010&partnerID=40&md5=2bbf10eb127686cde268610a0a986b97

Łoś, M., Muñoz-Matute, J., Muga, I., Paszyński, M., Isogeometric Residual Minimization Method (iGRM) with direction splitting for non-stationary advection–diffusion problems (2020) Computers and Mathematics with Applications, 79 (2), pp. 213-229. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068395014&doi=10.1016%2fj.camwa.2019.06.023&partnerID=40&md5=0bd817870182369e3990359b95024ec4

Blázquez-García, A., Conde, A., Milo, A., Sánchez, R., Barrio, I. Short-term office building elevator energy consumption forecast using SARIMA (2020) Journal of Building Performance Simulation, 13 (1), pp. 69-78.  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076182973&doi=10.1080%2f19401493.2019.1698657&partnerID=40&md5=308b5c5463a5d0beffb78f2382a90986

Muñoz-Matute, J., Pardo, D., Demkowicz, L. Equivalence between the DPG method and the exponential integrators for linear parabolic problems (2020) Journal of Computational Physics, art. no. 110016, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097236900&doi=10.1016%2fj.jcp.2020.110016&partnerID=40&md5=65d69d86194dee1abd4e61c89a40f32e

Doncel, J., Gast, N., Gaujal, B., A Mean field game analysis of sir dynamics with vaccination (2020) Probability in the Engineering and Informational Sciences, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096318586&doi=10.1017%2fS0269964820000522&partnerID=40&md5=a463ba8f78df2ded8faaf42c5aa066a5

Barrio, I., Roca-Pardiñas, J., Arostegui, I., Selecting the number of categories of the lymph node ratio in cancer research: A bootstrap-based hypothesis test (2020) Statistical Methods in Medical Research, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095817425&doi=10.1177%2f0962280220965631&partnerID=40&md5=e49af44d85051ae6de6d7fe1fbd79a12

Łoś, M., Muga, I., Muñoz-Matute, J., Paszyński, M., Isogeometric residual minimization (iGRM) for non-stationary Stokes and Navier–Stokes problems (2020) Computers and Mathematics with Applications, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097225721&doi=10.1016%2fj.camwa.2020.11.013&partnerID=40&md5=3921ffb9b8a29032ec20caff9f169fa0

Ayesta, U., Gupta, M.K., Verloop, I.M., On the computation of Whittle’s index for Markovian restless bandits (2020) Mathematical Methods of Operations Research, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095955850&doi=10.1007%2fs00186-020-00731-9&partnerID=40&md5=ff82e96e0d73cec156c84fce96417d3c

Osaba, E., Del Ser, J., Iglesias, A., Yang, X.-S., Soft Computing for Swarm Robotics: New Trends and Applications (2020) Journal of Computational Science, 39, art. no. 101049, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075510674&doi=10.1016%2fj.jocs.2019.101049&partnerID=40&md5=4e20145b41a60df3b153f5a8584e0e11

Lobo, J.L., Del Ser, J., Bifet, A., Kasabov, N. Spiking Neural Networks and online learning: An overview and perspectives (2020) Neural Networks, 121, pp. 88-100. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072233068&doi=10.1016%2fj.neunet.2019.09.004&partnerID=40&md5=c8b2a43448cfedb4fbdd70c46cebca30

Lobo, J.L., Ballesteros, I., Oregi, I., Del Ser, J., Salcedo-Sanz, S., Stream learning in energy IoT systems: A case study in combined cycle power plants (2020) Energies, 13 (3), art. no. 740, . https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079628164&doi=10.3390%2fen13030740&partnerID=40&md5=f30bcb6ab8b3aa3a6301f3405a000164

Santos, M.A.G., Munoz, R., Olivares, R., Filho, P.P.R., Ser, J.D., de Albuquerque, V.H.C., Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook (2020) Information Fusion, 53, pp. 222-239. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068125262&doi=10.1016%2fj.inffus.2019.06.004&partnerID=40&md5=bdf5c268b7aa395aaed2ba7d6bd7fe41

Aramburu, A., I. Arostegui, J. Moraza, I. Barrio, M. Aburto, A. García-Loizaga, A. Uranga, T. Zabala, J. M. Quintana, and C. Esteban. 2019. "COPD Classification Models and Mortality Prediction Capacity." International Journal of COPD 14: 605-613. doi:10.2147/COPD.S184695. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063001149&doi=10.2147%2fCOPD.S184695&partnerID=40&md5=cdd23114185d8b6f2901d9e74eb5398e.

Arostegui, I., M. J. Legarreta, I. Barrio, C. Esteban, S. Garcia-Gutierrez, U. Aguirre, J. M. Quintana, and IRYSS-COPD Group. 2019. "A Computer Application to Predict Adverse Events in the Short-Term Evolution of Patients with Exacerbation of Chronic Obstructive Pulmonary Disease." Journal of Medical Internet Research 21 (4). doi:10.2196/10773. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067287380&doi=10.2196%2f10773&partnerID=40&md5=a52978e5fba65c916a2f6227f0e7624b.

Barredo-Arrieta, A., I. Lana, and J. Del Ser. 2019. "What Lies Beneath: A Note on the Explainability of Black-Box Machine Learning Models for Road Traffic Forecasting.". doi:10.1109/ITSC.2019.8916985. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076798818&doi=10.1109%2fITSC.2019.8916985&partnerID=40&md5=9b25d7704a43d8aa522e730460104c49.

Benítez-Hidalgo, A., A. J. Nebro, J. García-Nieto, I. Oregi, and J. Del Ser. 2019. "jMetalPy: A Python Framework for Multi-Objective Optimization with Metaheuristics." Swarm and Evolutionary Computation 51. doi:10.1016/j.swevo.2019.100598. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074526314&doi=10.1016%2fj.swevo.2019.100598&partnerID=40&md5=758056b1c79a6487b760d2ba5bcfcb4d.

Brevis, I., Á Rodríguez-Rozas, J. H. Ortega, and D. Pardo. 2019. "Source Time Reversal (STR) Method for Linear Elasticity." Computers and Mathematics with Applications 77 (5): 1358-1375. doi:10.1016/j.camwa.2018.11.015. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057826424&doi=10.1016%2fj.camwa.2018.11.015&partnerID=40&md5=4447cc4e506adb68cf091623406c5485.

Camacho-Gómez, C., S. Jiménez-Fernández, R. Mallol-Poyato, J. Del Ser, and S. Salcedo-Sanz. 2019. "Optimal Design of Microgrid’s Network Topology and Location of the Distributed Renewable Energy Resources using the Harmony Search Algorithm." Soft Computing 23 (15): 6495-6510. doi:10.1007/s00500-018-3300-0. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048504949&doi=10.1007%2fs00500-018-3300-0&partnerID=40&md5=ed4fc664f63cc1b884e28121fd0ed1c0.

Carrillo, M., J. Sánchez-Cubillo, E. Osaba, M. N. Bilbao, and J. Del Ser. 2019. Trophallaxis, Low-Power Vision Sensors and Multi-Objective Heuristics for 3D Scene Reconstruction using Swarm Robotics. Vol. 11454 LNCS. doi:10.1007/978-3-030-16692-2_40. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065737350&doi=10.1007%2f978-3-030-16692-2_40&partnerID=40&md5=22c8ea7a71123e89fa60cdc8dff5328d.

Chaumont-Frelet, T., M. Shahriari, and D. Pardo. 2019. "Adjoint-Based Formulation for Computing Derivatives with Respect to Bed Boundary Positions in Resistivity Geophysics." Computational Geosciences 23 (3): 583-594. doi:10.1007/s10596-019-9808-2. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062790939&doi=10.1007%2fs10596-019-9808-2&partnerID=40&md5=a79b92317e49ceb7d2cac6402477854b.

Del Ser, J., Z. W. Geem, and X. -S Yang. 2019. "Foreword: New Theoretical Insights and Practical Applications of Bio-Inspired Computation Approaches." Swarm and Evolutionary Computation 45: 68-69. doi:10.1016/j.swevo.2018.12.008. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060095243&doi=10.1016%2fj.swevo.2018.12.008&partnerID=40&md5=11f638529f5fdbfec3354c8babc78281.

Del Ser, J., E. Osaba, D. Molina, X. -S Yang, S. Salcedo-Sanz, D. Camacho, S. Das, P. N. Suganthan, C. A. Coello Coello, and F. Herrera. 2019. "Bio-Inspired Computation: Where we Stand and what's Next." Swarm and Evolutionary Computation 48: 220-250. doi:10.1016/j.swevo.2019.04.008. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065055789&doi=10.1016%2fj.swevo.2019.04.008&partnerID=40&md5=8a7be2c71f8faf21f9a19f39b3ab874e.

Diez-Olivan, A., J. Del Ser, D. Galar, and B. Sierra. 2019. "Data Fusion and Machine Learning for Industrial Prognosis: Trends and Perspectives Towards Industry 4.0." Information Fusion 50: 92-111. doi:10.1016/j.inffus.2018.10.005. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055203735&doi=10.1016%2fj.inffus.2018.10.005&partnerID=40&md5=7974a4792473c362841d0c27b24f804a.

Elola, A., E. Aramendi, U. Irusta, J. Del Ser, E. Alonso, and M. Daya. 2019. "ECG-Based Pulse Detection during Cardiac Arrest using Random Forest Classifier." Medical and Biological Engineering and Computing 57 (2): 453-462. doi:10.1007/s11517-018-1892-2. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053609329&doi=10.1007%2fs11517-018-1892-2&partnerID=40&md5=e3ba037b16f275d88605d22fef857f59.

Fister, I., A. Iglesias, A. Galvez, J. Del Ser, E. Osaba, and I. Fister J. 2019. Using Adaptive Novelty Search in Differential Evolution. Vol. 1047. doi:10.1007/978-3-030-24299-2_23. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068623587&doi=10.1007%2f978-3-030-24299-2_23&partnerID=40&md5=0b35269766cae3f664b7571c8d564d79.

Fister, I., A. Iglesias, A. Galvez, J. Del Ser, E. Osaba, I. Fister J., M. Perc, and M. Slavinec. 2019. "Novelty Search for Global Optimization." Applied Mathematics and Computation 347: 865-881. doi:10.1016/j.amc.2018.11.052. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057867913&doi=10.1016%2fj.amc.2018.11.052&partnerID=40&md5=e23ff3fea62cfac47302c1fe4ce36fc2.

Fister, I., J., J. Del Ser, A. Galvez, A. Iglesias, E. Osaba, and I. Fister. 2019. "Discovering Dependencies among Mined Association Rules with Population-Based Metaheuristics.". doi:10.1145/3319619.3326833. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070627139&doi=10.1145%2f3319619.3326833&partnerID=40&md5=84e707533d951c0bfaaf51ced3449529.

Gálvez, A., I. Fister, I. Fister J., J. Del Ser, E. Osaba, and A. Iglesias. 2019. "Computing Rational Border Curves of Melanoma and Other Skin Lesions from Medical Images with Bat Algorithm.". doi:10.1145/3319619.3326873. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070593196&doi=10.1145%2f3319619.3326873&partnerID=40&md5=69ced0a1fad6114152f20a19d3d731a1.

Galvez, A., I. Fister, E. Osaba, I. Fistar, J. Del Ser, and A. Iglesias. 2019. "Hybrid Modified Firefly Algorithm for Border Detection of Skin Lesions in Medical Imaging.". doi:10.1109/CEC.2019.8789954. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070640179&doi=10.1109%2fCEC.2019.8789954&partnerID=40&md5=f8e0ab88e257dad852c788c58e2823ca.

Gálvez, A., E. Osaba, J. Del Ser, and A. Iglesias. 2019. Bat Algorithm for Kernel Computation in Fractal Image Reconstruction. Vol. 11538 LNCS. doi:10.1007/978-3-030-22744-9_30. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067814089&doi=10.1007%2f978-3-030-22744-9_30&partnerID=40&md5=5710603361f9b4c7bf02910ba460537e.

Garcia, D., I. Arostegui, and R. Prellezo. 2019. "Robust Combination of the Morris and Sobol Methods in Complex Multidimensional Models." Environmental Modelling and Software 122. doi:10.1016/j.envsoft.2019.104517. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072951348&doi=10.1016%2fj.envsoft.2019.104517&partnerID=40&md5=63921b5165edfff6d9436d9ef8cf429c.

Garcia, D., D. Pardo, and V. M. Calo. 2019. "Refined Isogeometric Analysis for Fluid Mechanics and Electromagnetics." Computer Methods in Applied Mechanics and Engineering 356: 598-628. doi:10.1016/j.cma.2019.06.011. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073650798&doi=10.1016%2fj.cma.2019.06.011&partnerID=40&md5=14281c8dac5753a4c24e6b574665a077.

García-Godoy, M. J., E. López-Camacho, J. García-Nieto, J. Del Ser, A. J. Nebro, and J. Aldana-Montes. 2019. "Bio-Inspired Optimization for the Molecular Docking Problem: State of the Art, Recent Results and Perspectives." Applied Soft Computing Journal 79: 30-45. doi:10.1016/j.asoc.2019.03.044. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063477737&doi=10.1016%2fj.asoc.2019.03.044&partnerID=40&md5=d6ccb57d7f5082d8eb3d08f6293e1ad8.

Gorria, C., G. Labata, M. Lezaun, F. J. López, A. I. Pérez Aliaga, and M. Á Pérez Vaquero. 2019. "Impact of Implementing Pathogen Reduction Technologies for Platelets on Reducing Outdates." Vox Sanguinis. doi:10.1111/vox.12860. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075467988&doi=10.1111%2fvox.12860&partnerID=40&md5=f2fb62c355858eac0c32e5886072299d.

Laña, I., J. L. Lobo, E. Capecci, J. Del Ser, and N. Kasabov. 2019. "Adaptive Long-Term Traffic State Estimation with Evolving Spiking Neural Networks." Transportation Research Part C: Emerging Technologies 101: 126-144. doi:10.1016/j.trc.2019.02.011. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061721979&doi=10.1016%2fj.trc.2019.02.011&partnerID=40&md5=59a591bd031e8696f9563db4c23d5de7.

Martín, J., I. Arostegui, A. Loroño, A. Padierna, J. Najera-Zuloaga, and J. M. Quintana. 2019. "Anxiety and Depressive Symptoms are Related to Core Symptoms, General Health Outcome, and Medical Comorbidities in Eating Disorders." European Eating Disorders Review 27 (6): 603-613. doi:10.1002/erv.2677. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065031427&doi=10.1002%2ferv.2677&partnerID=40&md5=466a32183a51b4dcb7d231c34abdce74.

Muñoz-Matute, J., V. M. Calo, D. Pardo, E. Alberdi, and der Zee van. 2019. "Explicit-in-Time Goal-Oriented Adaptivity." Computer Methods in Applied Mechanics and Engineering 347: 176-200. doi:10.1016/j.cma.2018.12.028. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059816718&doi=10.1016%2fj.cma.2018.12.028&partnerID=40&md5=0a7f9e2a82b66d22939383a236c21672.

Muñoz-Matute, J., D. Pardo, V. M. Calo, and E. Alberdi. 2019a. "Forward-in-Time Goal-Oriented Adaptivity." International Journal for Numerical Methods in Engineering 119 (6): 490-505. doi:10.1002/nme.6059. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063677819&doi=10.1002%2fnme.6059&partnerID=40&md5=4bda97fbf96d808021520af11ea92895.

———. 2019b. "Variational Formulations for Explicit Runge-Kutta Methods." Finite Elements in Analysis and Design 165: 77-93. doi:10.1016/j.finel.2019.06.007. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070886645&doi=10.1016%2fj.finel.2019.06.007&partnerID=40&md5=fb697c6d8545e732f61117cad26f8f55.

Najera-Zuloaga, J., D. -J Lee, and I. Arostegui. 2019. "A Beta-Binomial Mixed-Effects Model Approach for Analysing Longitudinal Discrete and Bounded Outcomes." Biometrical Journal 61 (3): 600-615. doi:10.1002/bimj.201700251. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057278928&doi=10.1002%2fbimj.201700251&partnerID=40&md5=07bc1fd399d64f2442d8e98d06229865.

Oregi, I., A. Pérez, J. Del Ser, and J. A. Lozano. 2019. "On-Line Elastic Similarity Measures for Time Series." Pattern Recognition 88: 506-517. doi:10.1016/j.patcog.2018.12.007. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058380045&doi=10.1016%2fj.patcog.2018.12.007&partnerID=40&md5=43de9d06403f3848810faa6972c64f0e.

Osaba, E., M. N. Bilbao, A. Iglesias, J. Del Ser, A. Galvez, I. Fister J., and I. Fister. 2019. Dynamic Partitioning of Evolving Graph Streams using Nature-Inspired Heuristics. Vol. 11538 LNCS. doi:10.1007/978-3-030-22744-9_29. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067812447&doi=10.1007%2f978-3-030-22744-9_29&partnerID=40&md5=382339faffa8d164aab376fae736d1c8.

Osaba, E., X. -S Yang, I. Fister J., J. Del Ser, P. Lopez-Garcia, and A. Vazquez-Pardavila. 2019. "A Discrete and Improved Bat Algorithm for Solving a Medical Goods Distribution Problem with Pharmacological Waste Collection." Swarm and Evolutionary Computation 44: 273-286. doi:10.1016/j.swevo.2018.04.001. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045180765&doi=10.1016%2fj.swevo.2018.04.001&partnerID=40&md5=24860effedc2693391eb8db4e9de1d9b.

Para, J., J. Del Ser, A. J. Nebro, U. Zurutuza, and F. Herrera. 2019. "Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An Incremental Methodology Based on Data Analytics for Cost-Efficiently Monitoring the Industry 4.0." Engineering Applications of Artificial Intelligence 82: 30-43. doi:10.1016/j.engappai.2019.03.022. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063401850&doi=10.1016%2fj.engappai.2019.03.022&partnerID=40&md5=4a83f28fdf9bc5f386a964ad86032ce1.

Quintana, J. M., A. Anton-Ladislao, S. Lázaro, N. Gonzalez, M. Bare, N. F. de Larrea, M. Redondo, et al. 2019. "Predictors of Readmission and Reoperation in Patients with Colorectal Cancer." Supportive Care in Cancer. doi:10.1007/s00520-019-05050-2. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072177118&doi=10.1007%2fs00520-019-05050-2&partnerID=40&md5=93a8742648f5ec4d9839b503eb87ac15.

Ramirez Atencia, C., J. Del Ser, and D. Camacho. 2019. "Weighted Strategies to Guide a Multi-Objective Evolutionary Algorithm for Multi-UAV Mission Planning." Swarm and Evolutionary Computation 44: 480-495. doi:10.1016/j.swevo.2018.06.005. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048350786&doi=10.1016%2fj.swevo.2018.06.005&partnerID=40&md5=370e16f6489c01fdbe0e43076ea3ffcc.

Siwik, L., M. Wozniak, V. Trujillo, D. Pardo, V. M. Calo, and M. Paszynski. 2019. "Parallel Refined Isogeometric Analysis in 3D." IEEE Transactions on Parallel and Distributed Systems 30 (5): 1134-1142. doi:10.1109/TPDS.2018.2879664. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056153277&doi=10.1109%2fTPDS.2018.2879664&partnerID=40&md5=355033be85882e0966dac135a98066d5.

D. Pardo, P. Matuszyk, C. Torres-Verdin, M. J. Nam, M. Paszynski, Modeling of Resistivity and Sonic Geophysical Measurements Using Finite Elements. ``Book in preparation''. Estimated completion date, May 2018. 

A. Iparragirre, I. Barrio, and M. X. Rodríguez-Álvarez. On the optimism correction of the AUC in logistic prediction models, “SORT” (Impact Factor: 0.812), under review, Feb. 2018.

J. Larruskain, D. Celorrio, I. Barrio, A. Odriozola, S. M. Gil, J. R. Fernandez-Lopez, R. Nozal, I. Ortuzar, J. A. Lekue, and J. M. Aznar. Genetic Variants and Hamstring Injury in Soccer: an Association and Validation Study, “Medicine & Science in Sports & Exercise” (Impact Factor: 4.141), Vol. 50, Issue 2, pp. 361-368, Feb. 2018

J.M. Quintana, N. González, S. Lazaro, M. Bare, N. Fernandez-de-Larrea, M. Redondo, E. Briones, A. Escobar, C. Sarasqueta, S. García-Gutierrez, A. Antón-Ladislao, I. Arostegui I for the REDISSEC-CARESS/CCR group. Predictors of one and two years’ mortality in patients with colon cancer: a prospective cohort study. Plos One (accepted for publication).(2016: IF 2.806; Q1).

J. Najera-Zuloaga, D.-J. Lee, I. Arostegui. A comparison of beta-binomial regression model approaches to analyze health-related quality of life data. Statistical Methods in Medical Research (in press). DOI: 10.1177/0962280217690413. (2016: IF 3.953; Q1). 

A. Katsumiti, A.J. Thorley, I. Arostegui, P. Reip, E. Valsami-Jones, T.D. Tetley, M.P. Cajaraville. Cytotoxicity and cellular mechanisms of toxicity of CuO NPs in mussel cells in vitro and comparative sensitivity with human cells. Toxicology in vitro, 2018; 48: 146-158. DOI 10.1016/j.tiv.2018.01.013. (2016: IF 2.866; Q2).

I. Arostegui, N. Gonzalez, N. Fernandez-de-Larrea, S. Lázaro, M. Bare, M. Redondo, C. Sarasqueta, S. García-Gutierrrez, J.M. Quintana, for the REDISSEC-CARESS/CCR Group. Combining statistical techniques to predict post-surgical risk of 1-year mortality for patients with colon cancer. Clinical Epidemiology, 2018; 10: 235-251. (2016: IF 7.056; Q2).

S. García-Gutiérrez, J.M. Quintana, A. Antón-Ladislao, M.S. Gallardo; I. Rilo, M. Morillas, N. Murga, R. Palenzuela, E. Pulido, I. Barrio, U. Aguirre, I. Arostegui I  on behalf of AHFRS group. External validation of EAHFE-3D scale for the evaluation of prognosis in acute heart failure. Emergencias, 2018; 30: 84-90. DOI: doi386.pdf. (2016: IF 3.028; Q1).

V. Darrigrand, A. Rodriguez-Rozas, I. Muga, D. Pardo, A. Romkes and S. Prudhomme, Goal-oriented adaptivity using unconventional error representations for the multi-dimensional Helmholtz equation, ``International Journal for Numerical Methods in Engineering (IJNME)'' (Impact Factor: 2.162), Vol 113 (1), pp. 22-42, Jan 2018.

D. Garcia, D. Pardo, L. Dalcin, and V. M. Calo, Refined Isogeometric Analysis for a Preconditioned Conjugate Gradient Solver, ``Computer Methods in Applied Mechanics and Engineering (CMAME)'' (Impact Factor: 3.949), Vol 335, pp. 490-509, Jun. 2018.

M. Shahriari, S. Rojas, D. Pardo, A. Rodríguez-Rozas, S. Bakr, V. M. Calo, and I. Muga, A numerical 1.5D method for the rapid simulation of geophysical resistivity measurements, ``Geosciences'' (Impact Factor: 1.97), Vol. 8 (6), 225, Jun. 2018.

Th. Chaumont-Frelet, S. Nicaise, and D. Pardo, Finite Element Approximation of Electromagnetic Fields using Non-Fitting Meshes for Geophysics, ``SIAM Journal on Numerical Analysis'' (Impact Fac- tor: 2.972), Vol 56 (4), pp. 2288-2321, Jul 2018.

A.Rodríguez-Rozas,D.Pardo,andC.Torres-Verdín,Fast2.5DFiniteElementSimulationsofBoreho- le Resistivity Measurements, ``Computational Geosciences'' (Impact Factor: 2.726), published online, May. 2018.

Th.Chaumont-Frelet,D.Pardo,andA.Rodríguez-Rozas,FiniteElementSimulationsofLogging-While- Drilling and Extra-Deep Azimuthal Resistivity Measurements using Non-Fitting Grids, ``Computational Geosciences'' (Impact Factor: 2.726), published online, Apr. 2018.

V. Peron, A. Erdozain, and D. Pardo, Asymptotic Models for the Electric Potential across a Highly Conductive Casing, ``Computers and Mathematics with Applications'' (Impact Factor: 1.531), in press, Jul. 2018.

L. Siwik, M. Wozniak, V. Trujillo, D. Pardo, V. M. Calo, and M. Paszynski, Parallel refined Isogeome- tric Analysis in 3D, ``IEEE Transactions on Parallel and Distributed Systems'' (Impact Factor: 4.181), submitted, Dec. 2017.

J. Muñoz-Matute, D. Pardo, V. M. Calo, and E. Alberdi, Variational Formulations for Explicit Runge- Kutta Methods, ``SIAM Journal on Numerical Analysis (SINUM)'' (Impact Factor: 1.978), submitted, Mar. 2018

Th. Chaumont-Frelet, M. Shahriari, and D. Pardo, Adjoint-based formulation for computing derivatives with respect to bed boundary positions in resistivity geophysics, ``Geophysical Prospecting'', submitted, Feb. 2018.

R. Brevis, A. Rodríguez-Rozas, D. Pardo, and J. Ortega Source time reversal (STR) method for linear elasticity, ``Computers & Mathematics with Applications (CAMWA)'' (Impact Factor: 1.86), under review, May 2018.

M. Shahriari and D. Pardo, Borehole Resistivity Simulations of Oil-Water Transition Zones with a 1.5D Numerical Solver, ``Computational Geosciences'' (Impact Factor: 2.72), under review, Jul 2018.

J.Muñoz-Matute,V.M.Calo,D.Pardo,E.Alberdi,andK.G.vanderZee,Explicit-in-timegoal-oriented adaptivity, ``Computer Methods in Applied Mechanics and Engineering'' (Impact Factor: 3.949), under review, Jul 2018.

J. Muñoz-Matute, E. Alberdi, D. Pardo, and V. M. Calo, Time-Domain Goal-Oriented Adaptivity Using Pseudo-Dual Error Representations, ``Computer Methods in Applied Mechanics and Engineering (CMAME)'' (Impact Factor: 3.949), in review, Jun. 2017. 

Th. Chaumont-Frelet, S. Nicaise, and D. Pardo, Finite Element Approximation of Electromagnetic Fields using Non-Fitting Meshes for Geophysics, ``SIAM Journal on Numerical Analysis'' (Impact Factor: 2.972), submitted, Dec. 2016. 

V. Darrigrand, A. Rodriguez-Rozas, I. Muga, D. Pardo, A. Romkes and S. Prudhomme, Goal-oriented adaptivity using unconventional error representations for the multi-dimensional Helmholtz equation, ``International Journal for Numerical Methods in Engineering (IJNME)'' (Impact Factor: 2.162), accepted for publication, Jun. 2017. 

S. Bakr, and D. Pardo, A multi-domain decomposition-based Fourier finite element method for the simulation of 3D marine CSEM measurements, "Computational Geosciences" (Impact factor: 1.602), Vol. 21, Issue 3, pp. 345-357, Jun. 2017. 

S. Bakr, D. Pardo, and C. Torres-Verdin, Fast inversion of logging-while-drilling resistivity measurements acquired in multiple wells, ``Geophysics'' (Impact Factor: 2.391), Vol. 82, Issue 3, E111-E120, May 2017. 

 D. Garcia-Lozano, D. Pardo, L. Dalcin, M. Paszynski, N. Collier, and V. M. Calo, The Value of Continuity: Refined Isogeometric Analysis and Fast Direct Solvers, ``Computer Methods in Applied Mechanics and Engineering (CMAME)'' (Impact Factor: 3.949), Vol. 316, pp. 586-605, Apr. 2017. 

 A. Galdran, J. Vazquez-Corral, D. Pardo, and M. Bertalmio, Fusion-based Variational Image Dehazing, ``IEEE Signal Processing Letters'' (Impact Factor: 2.528), Vol. 24, Issue 2, pp. 151-155, Feb. 2017. 

 R. I. Brevis, J. H. Ortega, and D. Pardo, A Source Time Reversal Method for Seismicity Induced by Mining, ``Inverse Problems and Imaging'' (Impact Factor: 1.094), Vol 11, Issue 1, pp. 25-45, Feb. 2017. 

 J. Alvarez-Aramberri, and D. Pardo, Dimensionally Adaptive hp-Finite Element Simulation and Inversion of 2D Magnetotelluric Measurements, ``Journal of Computational Science'' (Impact Factor: 1.748), Vol. 18, pp. 95-105, Jan. 2017. 

E. Gajda-Zagorska, R. Schaefer, M. Smolka, D. Pardo, and J. Alvarez-Aramberri, A Multi-objective Hierarchic Memetic Solver Reinforced by Local Optimization Methods, ``Journal of Computational Science'' (Impact Factor: 1.748), Vol. 18, pp. 85-94, Jan. 2017.

D. Garcia, M. Barton, and D. Pardo, Optimally refined isogeometric analysis, ``Procedia Computer Science'', Vol. 108, pp. 808-817, Jun 2017. 

V. Darrigrand, A. Rodriguez-Rozas, D. Pardo, and I. Muga, Goal-Oriented p-Adaptivity using Unconventional Error Representations for a 1D Steady State Convection-Diffusion Problem, ``Procedia Computer Science'', Vol. 108, pp. 848-856, Jun 2017.

 J. Muñoz-Matute, E. Alberdi, D. Pardo, and V. M. Calo, Denboraren eremuan helburuetara orientatutako egokitzapena errorearen ez-ohiko adierazpenak erabilita, ``Proceedings of IkerGazte 2017'', pp. 1-5, May 2017.

A. Orbea, N. González-Soto, J. M. Lacave, I. Barrio and M. P. Cajaraville.  Developmental and reproductive toxicity of PVP/PEI-coated silver nanoparticles to zebrafish, “Comparative Biochemistry and Physiology, part C” (Impact Factor: 2.416), Vol. 199, pp. 59-68, Sep. 2017

I. Barrio, I. Arostegui, M.X. Rodríguez-Alvarez, J.M. Quintana. A new approach to categorize continuous variables in prediction models: Proposal and validation. Statistical Methods in Medical Research, 2017; 26(6): 2586-2602. DOI: 10.1177/0962280215601873. (2016: IF 3.953; Q1).

J.M. Lacave, A. Fanjul, E. Bilbao, N. Gutiérrez, I. Barrio, I. Arostegui, M.P. Cajaraville, A. Orbea. Acute toxicity, bioaccumulation and effects of dietary transfer of silver from brine shrimps exposed to PVP/PEI-coated silver nanoparticles to zebrafish. Comparative Biochemistry and Physiology - part C: Toxicology & Pharmacology, 2017; 199: 69-80. DOI: 10.1016/j.cbpc.2017.03.008. (2016: IF 2.416; Q2).

I. Barrio, M.X. Rodríguez-Álvarez, L. Meira-Machado, C. Esteban,  I. Arostegui. Comparison of the c-index and CPE  estimators in the polychotomisation of continuous predictors in a Cox proportional hazards model. SORT- Statistics and Operations Research Transactions, 2017; 41(1): 73-92. (2016: IF 0.812; Q3).

I. Barrio, I. Arostegui I, M.X. Rodríguez-Álvarez. Sample size impact on the categorisation of continuous variables in clinical prediction. In: Ainsbury EA, Calle ML, Einbeck J, Cardis E, Gomez G, Puig P. Trends in Mathematics. Research Perspectives CRM Barcelona. Extended Abstracts Fall 2015. Biomedical Big Data; Statistics for Low Dose Radiation Research, 2017; 7: 15-20. Ed. Birkhäuser, by Springer International Publishing AG, Cham, Switzerland. 

M. Á. Pérez Vaquero, C. Gorria, M. Lezaun, F. J. López, J. Monge, C. Eguizabal, M. A. Vesga, Optimization of the management of platelet concentrate stocks in the Basque Country using mathematical simulation. Vox sanguinis (Impact Factor: 1.96), 110(4), 369-375, 2016.

 Carlos Gorria Corres; et al. 2017. Método para calcular la potencia eléctrica óptima a contratar en España DYNA. 92-1, pp.106-112. 2 

Yu.B. Gaididei; et al. 2016. Energy localization and shape transformations in semiflexible polymer rings Physical Review E. AMER PHYSICAL SOC. 93-6, pp.062227.

Miguel Angel Pérez Vaquero; et al. 2016. Optimization of the management of platelet concentrate stocks in the Basque Country using mathematical simulation Vox Sanguinis. John Wiley & Sons. 110, pp.1-6.

A. Rodriguez-Rozas, D. Pardo, C. Torres-Verdín, Advances toward the fast simulation of 2.5D LWD and deep azimuthal resistivity tools, ``Proceedings of Joint Industry Research Consortium on Formation Evaluation'' (Sixteenth Annual Meeting), Austin, TX, USA, Aug 2016. 

D. Pardo, C. Torres-Verdín, Estimation of bed boundary locations and layer resistivities based on the rapid inversion of LWD resistivity measurements, ``Proceedings of Joint Industry Research Consortium on Formation Evaluation'' (Sixteenth Annual Meeting), Austin, TX, USA, Aug 2016.

A. Rodriguez-Rozas, and D. Pardo, A Priori Fourier Analysis for 2.5D Finite Elements Simulations of Logging-While-Drilling (LWD) Resistivity Measurements, ``Procedia Computer Science'', Vol. 80, pp. 782-791, Jun 2016.

A. Zabaleta, I. Antigüedad, I. Barrio, and J. L., Probst. Suspended sediment delivery from small catchments to the Bay of Biscay. What are the controlling factors?, “Earth Surface Processes and Landforms” (Impact Factor: 2.845), Vol. 41, pp. 1894-1910, May. 2016 

C. Esteban, I. Arostegui, M. Aburto, J. Moraza, J.M. Quintana, A. García-Loizaga, L.V. Basualdo, A. Aramburu, A. Capelastegui. Chronic Obstructive Pulmonary Disease subtypes: Transition over time. Plos One, 2016; 11(9): e0161710. doi:10.1371/journal.pone.0161710. (IF 2.806; Q1).

A. Katsumiti, I. Arostegui, D. Berhanu, D. Gilliland, E. Valsami-Jones, M.P. Cajaraville. Cytotoxicity of Au, ZnO and SiO2 NPs using in vitro assays with mussel hemocytes and gill cells: relevance of size, shape and additives. Nanotoxicology, 2016; 10(2): 185-193. DOI: 10.3109/17435390.2015.1039092. (IF 6.428; Q1).

Y. Ou, D. Pardo, and Y. Chen, Fourier finite element modeling of light emission in waveguides: 2.5- dimensional FEM approach, ``Optics Express (OSA)'' (Impact Factor: 3.488), Vol. 23, pp. 30259-30269, Nov. 2015. 

J. Álvarez-Aramberri, D. Pardo, and H. Barucq, A Secondary Field Based hp-Finite Element Method for the Simulation of Magnetotelluric Measurements, ``Journal of Computational Science'' (Impact Factor: 1.567), Vol. 11, pp. 137-145, Nov. 2015. 

D. Pardo, J. Álvarez-Aramberri, M. Paszynski, L. Dalcín, and V. M. Calo, Impact of Element-Level Static Condensation on Iterative-Solver Performance, ``Computers & Mathematics with Applications'' (Impact Factor: 2.062), Vol 70 (10), pp. 2331-2341, Nov. 2015. 

M. Smolka, E. Gajda-Zagorska, R. Schaefer, M. Paszynski, and D. Pardo, A hybrid method for inversion of 3D AC resistivity logging measurements, ``Applied Soft Computing'' (Impact Factor: 2.679), Vol. 36, pp. 442-456, Nov. 2015.

M. Smolka, R. Schaefer, M. Paszysnki, D. Pardo, and J. Alvarez-Aramberri, Agent-Oriented Hierarchic Strategy for Solving Inverse Problems, ``International Journal of Applied Mathematics and Computer Science'' (Impact Factor: 1.390), Vol. 25 (3), pp. 483-498, Sep. 2015. 

 E. Gajda-Zagorska, R. Schaefer, M. Smolka, M. Paszynski, and D. Pardo, A hybrid method for inversion of 3D DC resistivity logging measurements, ``Natural Computing'' (Impact Factor: 0.539), Vol 14, Issue 3, pp. 355-374, Sep. 2015. 

A. Galdran, J. Vazquez-Corral, D. Pardo, and M. Bertalmio, Enhanced Variational Image Dehazing, ``SIAM Journal on Imaging Sciences'' (Impact Factor: 2.867), Vol 8(3), pp. 1519-1546, 2015.

  M. Paszynski, D. Pardo, and V. M. Calo, Direct Solvers Performance on h-Adapted Grids, ``Computers & Mathematics with Applications'' (Impact Factor: 2.062), Vol. 70, Issue 3, pp. 282-295, Aug. 2015. 

 I. Muga, D. Pardo, P. Matuszyk, and C. Torres-Verdin, Semi-analytical response of acoustic logging measurements in frequency domain, ``Computers & Mathematics with Applications'' (Impact Factor: 2.062), Vol. 70, Issue 4, pp. 314-329, Aug. 2015. 

 A. Szymczak, M. Paszynski, D. Pardo, and A. Paszynska, Petri Nets Modeling of Dead-End Refinement Problems in a 3D Aniosotropic hp-Adaptive Finite Element Method, ``Computing and Informatics'', Vol. 37, pp. 1001-1033, Jul. 2015. 

I. Gomez-Revuelto, L. E. Garcia-Castillo, and D. Pardo, High-Accuracy Adaptive Modeling of the Energy Distribution of a Meniscus-Shaped Cell Culture in a Petri Dish, ``Journal of Computational Science'', Vol 9, pp. 143-149, Jul 2015.

 V. Darrigrand, D. Pardo, and I. Muga, Goal-Oriented Adaptivity using Unconventional Error Representations, ``Computers & Mathematics with Applications'' (Impact Factor: 2.062), Vol. 69, Issue 9, pp. 964-979, May 2015. 

D. Pardo, and C. Torres-Verdin, Fast 1D Inversion of Logging-While-Drilling Resistivity Measurements for Improved Estimation of Formation Resistivity in High-Angle and Horizontal Wells, ``Geophysics'' (Impact Factor: 1.759), Vol. 89, E111-E124, Mar. 2015. 

M. Wozniak, M. Paszynski, D. Pardo, L. Dalcin, and V. Calo, Computational cost of isogeometric multifrontal solvers on parallel distributed memory machines, ``Computer Methods in Applied Mechanics and Engineering (CMAME)'' (Impact Factor: 2.626), Vol. 284 (Isogeometric Analysis Special Issue), pp. 971-987, Feb. 2015. 

A. Galdran, D. Pardo, A. Picon, and A. Alvarez-Gila, Automatic Red-Channel Underwater Image Restoration, ``Journal of Visual Communication and Image Representation'' (Impact Factor: 1.361), Vol. 26, pp. 132-145, Jan. 2015.

C. Gorria, M. Lezaun, Heurística para obtener la mejor región rectangular en piezas irregulares y su implementación en máquinas de corte de madera, DYNA, Vol. 90(1), pp. 61-66, 2015.

Carlos Gorria; Miguel Lezaun. 2015. Heurística para obtener la mejor región rectangular en piezas irregulares y su implementación en máquinas de corte de madera DYNA. 90-1, pp.61-66.

A. Rodriguez-Rozas, D. Pardo, C. Torres-Verdín, Development of a general framework for the rapid simulation of 2D and 2.5D borehole resistivity measurements, ``Proceedings of Joint Industry Research Consortium on Formation Evaluation'' (Fifteenth Annual Meeting), Austin, TX, USA, Aug 2015. 

S. Bakr, D. Pardo, C. Torres-Verdín, Advances in the fast inversion of LWD resistivity measurements acquired in multiple wells, ``Proceedings of Joint Industry Research Consortium on Formation Evaluation'' (Fifteenth Annual Meeting), Austin, TX, USA, Aug 2015. 

D. Pardo, S. Bakr, and C. Torres-Verdin, Fast and automatic inversion of LWD resistivity measurements for petrophysical interpretation, ``SPWLA Proceedings'', SPWLA-2015-QQQQ, Jul. 2015. 

A. Galdran, A. Picon, E. Garrote, and D. Pardo, Pectoral Muscle Segmentation in Mammograms based on Cartoon-Texture Decomposition, ``IbPRIA 2015, Lecture Notes in Computer Science'', Vol. 9117, pp. 587-594, Jun. 2015. 

J. Alvarez-Aramberri, S. Bakr, D. Pardo, and H. Barucq, Quantities of Interest for Surface based Resistivity Geophysical Measurements, ``Procedia Computer Science'', Vol. 51, pp. 964-973, May 2015.

 E. Gajda-Zagorska, M. Smolka, R. Schaefer, D. Pardo, and J. Alvarez-Aramberri, Multi-objective Hierarchic Memetic Solver for Inverse Parametric Problems, ``Procedia Computer Science'', Vol. 51, pp. 974-983, May 2015. 

 A. Galdran, J. Vazquez-Corral, D. Pardo, and M. Bertalmio, A Variational Framework for Single Image Dehazing, Lecture Notes on Computer Science, Vol. 8927, pp. 259-270, Apr. 2015. 

M. Orive, I. Barrio, V. M. Orive, B. Matellanes, J. A. Padierna, J. Cabriada,  A. Orive, A. Escobar, J. M. Quintana, “Journal of Psychosomatic Research” (Impact Factor: 2.839), Vol. 78,  Issue 6,  pp. 563-568, Jun. 2015

C. Esteban, I. Arostegui, J.M. Quintana, S. García-Gutierrez, N. González, I. Lafuente, M. Baré, N. Fernandez de Larrea, F. Rivas, for the IRYSS-COPD Group. A decision tree to assess short term mortality after an emergency department visit for an exacerbation of COPD. Respiratory Research, 2015; 16: 151. DOI 10.1186/s12931-015-0313-4. (IF 3.751; Q1).

R. Arrazuria, E. Molina, M. Mateo-Abad, I. Arostegui, J.M. Garrido, R.A. Juste, N. Elguezabal. Effect of various dietary regimens on oral challenge with Mycobacterium avium subsp. paratuberculosis in a rabbit model. Research in Veterinary Science, 2015; 101: 80-83. DOI:10.1016/j.rvsc.2015.06.006. (IF 1.504; Q1).

P. Ruiz, A. Katsumiti, J.A. Nieto, J. Bori, A. Jimeno-Romero, P. Reip, I. Arostegui, A. Orbea, M.P. Cajaraville. Short-term effects on antioxidant enzymes and long-term genotoxic and carcinogenic potential of CuO nanoparticles compared to bulk CuO and ionic copper in mussels Mytilus galloprovincialis. Marine Environmental Research, 2015; 111: 107-120. DOI: 10.1016/j.marenvres.2015.07.018. (IF 2.769; Q1).

S. García-Gutierrez, A. Unzurrunzaga, I. Arostegui, J.M. Quintana, E. Pulido, M.S. Gallardo, C. Esteban, the IRYSS-COPD Group. The use of pulse oximetry to determine hipoxemia in acute exacerbations of COPD. COPD-Journal of Chronic Obstructive Pulmonary Disease, 2015. DOI: 10.3109/15412555.2014.995291. (IF 2.160; Q3).

U. Aguirre, I. Arostegui, C. Esteban, J.M. Quintana. Assessment of the performance of imputation techniques in observational studies with two measurements. International Journal of Statistics in Medical Research, 2015; 4(3): 240-251.

A. Katsumiti, D. Gilliland, I. Arostegui, M.P. Cajaraville. Mechanisms of toxicity of Ag nanoparticles in comparison to bulk and ionic Ag on mussel hemocytes and gill cells. PLoS One, 2015; 10(6):e0129039. Doi:10.1371/journal.pone.0129039. (IF 3.057; Q1).

A. Katsumiti, D. Berhanu, K.T. Howard, I. Arostegui, M. Oron, P. Reip, E. Valsami-Jones, M.P. Cajaraville. Cytotoxicity of tio2 nanoparticles to mussel hemocytes and gill cells in vitro: influence of synthesis method, crystalline structure, size and additive. Nanotoxicology, 2015; 9(5): 543-553. Doi:10.3109/17435390.2014.952362. (IF 7.913; Q1).

M. Wozniak, K. Kuznik, M. Paszynski, V. Calo, and D. Pardo, Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers, ``Computers & Mathematics with Applications'' (Impact Factor: 2.062), Vol. 67, Issue 10, pp. 1864-1883, June 2014.

 I. Gomez-Revuelto, L.E. Garcia-Castillo, S. Llorente-Romano, and D. Pardo, 3D hp-Adaptive Finite Element Simulations of Bend, Step, and Magic-T Electromagnetic Waveguide Structures, ``Journal of Computational Science'' (Impact Factor: 1.567), Vol. 5(2), pp. 65-75, Mar. 2014.

P. Carter, P. Leth Christiansen, Y. B. Gaididei, C. Gorria, B. Sandstede, M. P. Sørensen, J. Starke, Multijam solutions in traffic models with velocity-dependent driver strategies, SIAM Journal on Applied Mathematics, Vol. 74(6), pp. 1895-1918, 2014.

Paul Carter; et al. 2014. Multijam solutions in traffic models with velocity-dependent driver strategies SIAM Journal on Applied Mathematics. 74-6, pp.1895-1918.

C. Gorria, M. Lezaun, D. Pardo, E. Sainz de la Maza, D. Bilbao, I. Gutierrez, M. Lueches, Optimising the Welding Process in the Manufacture of Offshore Mooring Chains, Advances in Differential Equations and Applications, SEMA SIMAI Springer Series Volume 4, pp 183-191, Nov. 2014

 S. Bakr, and D. Pardo, A Secondary Field Based Fourier Finite Element Method for the Simulation of 3D Marine CSEM Measurements, ``SEG Technical Program Expanded Abstracts 2014'', pp. 669-673, Denver, CO, USA, Oct. 2014. 

A. Galdran, J. Vazquez-Corral, D. Pardo, and M. Bertalmio, A Variational Framework for Single Image Dehazing, ``Proceedings of the Fourth Color and Photometry in Computer Vision Workshop'', pp. 1-12, Zurich, Switzerland, Sep. 2014. 

D. Pardo, C. Torres-Verdín, Practical Implementation of Automatic Resistivity Inversion for Petrophysical Interpretation, ``Proceedings of Joint Industry Research Consortium on Formation Evaluation'' (Fourteenth Annual Meeting), Austin, TX, USA, Aug 2014. 

J. Alvarez-Aramberri, D. Pardo, and H. Barucq, Automatically Adapted Perfectly Matched Layers for Problems with High Contrast Materials Properties, ``Procedia Computer Science'', Vol. 29, pp. 970-979, May 2014. 

I. Arostegui, I. Barrio, M.J. Legarreta, A. Urkaregi. Statistics in Research vs. Research in Statistics. BEIO, 2014; 30(2): 220-239. 

J.M. Quintana, C. Esteban, A. Unzurrunzaga, S. García-Gutierrrez, N. González, I. Barrio, I. Arostegui, I. Lafuente, M. Baré, N. Fernandez-de-Larrea, S. Vidal for the IRYSS-COPD Group. Mortality in patients with COPD exacerbations attending emergency departments. BMC Medicine, 2014; 12:66 doi: 10.1186/1741-7015-12-66. (IF 7.249; Q1).

I. Arostegui, C. Esteban, S. García-Gutierrez, M. Baré, N. Fernandez de Larrea, E. Briones, J.M. Quintana for the IRYSS-COPD Group. Subtypes of patients experiencing exacerbations of COPD and associations with outcomes. PLoS One, 2014; 9(6): e98580. Doi: 10.1371/journal.pone.0098580. (IF 3.234; Q1). 

A. Katsumiti, D. Gilliland, I. Arostegui, M.P. Cajaraville. Cytotoxicity and cellular mechanisms involved in the toxicity of CdS quantum dots in hemocytes and gill cells of the mussel mytilus galloprovincialis. Aquatic Toxicology, 2014; 153: 39-52. Doi: http://dx.doi.org/10.1016/j.aquatox.2014.02.003. (IF 3.451; Q1).

U. Aguirre, I. Arostegui, J.M. Quintana. Inputazio tekniken errendimenduaren ebaluazioa bi neurketako luzeranzko datuetan. Ekaia, 2014; Ale berezia: 147-163.

I. Barrio, I. Arostegui, S. García-Gutierrez. Eredu aurresaleetako aldagai jarraituen kategorizaziorik hoberena lortzeko metodologia proposamena: aplikazio zehatza medikuntzan. Ekaia 2014, 2014; Ale berezia: 117-130.

C. Esteban, I. Arostegui, M. Aburto, J. Moraza, J.M. Quintana, S. Aizpiri, L.V. Basualdo, A. Capelastegui. Impact of changes in physical activity on hospitalization among patients with chronic obstructive pulmonary disease. Respirology, 2014: doi: 10.1111/resp.12239. (IF 3.345; Q2).

E. Gajda-Zagorska, M. Paszynski, R. Schaefer, D. Pardo, hp-HGS strategy for inverse AC/DC resistivity logging measurement simulations, ``Computer SCIence Journal'', Vol. 14(4), pp. 629-644, Dec. 2013.

S. Bakr, D. Pardo, T. Mannseth, A Fourier finite element method for the simulation of 3D marine CSEM measurements, ``Journal of Computational Physics'' (Impact Factor: 2.485), Vol. 255, pp. 456-470, Dec. 2013. 

M. Paszynski, K. Kuznik, V. M. Calo, and D. Pardo, Graph Grammar Based Multi-Frontal Solver for Isogeometric FEM Simulations on GPU, ``International Journal of Aerospace and Lightweight Structures'', Vol. 3(2), pp. 277-290, Aug. 2013. 

D. Pardo, P. Matuszyk, C. Torres-Verdin, A. Mora, I. Muga, V. M. Calo, Influence of Borehole-Eccentered Tools in Wireline and LWD Sonic Logging Measurements, ``Geophysical Prospecting'' (Impact Factor: 1.506), Vol. 61(1), pp. 268-283, Jul. 2013. 

D. Pardo, and C. Torres-Verdin, Sensitivity analysis for the appraisal of hydrofractures in horizontal wells with borehole resistivity measurements, ``Geophysics'' (Impact Factor: 1.759), D209-D222, Jul. 2013. 

P. Matuszyk, C. Torres-Verdin, and D. Pardo, Frequency-Domain Finite-Element Simulations of 2D Sonic Wireline Borehole Measurements Acquired in Fractured and Thinly Bedded Formations, ``Geophysics'' (Impact Factor: 1.759), Vol. 78(4), pp. D193-D207, Jul. 2013. 

A. Szymczak, A. Paszynska, M. Paszynski, and D. Pardo, Preventing deadlock during anisotropic 2D mesh adaptation in hp-adaptive FEM, ``Journal of Computational Science'' (Impact Factor: 1.567), Vol. 4, Issue 3, pp. 170-179, May 2013. 

M. Paszynski, D. Pardo, and V.M. Calo, A direct solver with reutilization of LU factorizations for hadaptive finite element grids with point singularities, ``Computers & Mathematics with Applications (CAMWA)'' (Impact Factor: 2.062), Vol. 65, Issue 8, pp. 1140-1151, Apr. 2013. 

N.O. Collier, L. Dalcin, D. Pardo, and V. M. Calo, The cost of continuity: performance of iterative solvers on isogeometric finite elements, ``SIAM Journal of Scientific Computing'' (Impact Factor: 2.397), Vol. 35(2), pp. A767-A784, Mar. 2013. 

 M. J. Nam, D. Pardo, and C. Torres-Verdin, Simulation of borehole-eccentered triaxial induction measurements using a Fourier hp finite-element method, ``Geophysics'' (Impact Factor: 1.759), Vol 78 (1), pp. D41-D52, Jan. 2013.

Yuri B. Gaididei; et al. 2013. Controlling traffic jams by time-modulating the safety distance, Physical review. 88-4, pp.042803-1-042803-13.

 Carlos Gorria; Luis Vega; Miguel Angel Alejo. 2013. Discrete conservation Laws and the convergence of long time simulations of the mkdv equation , Journal of computational physics. Elsevier B.V.. 235-1, pp.274-285.

Carlos Gorria; et al. 2013. Forecasting flexibility in electricity demand with price/consumption volume signals, Electric power systems research. Elsevier B.V.. 95, pp.200-205.

Yuri B. Gaididei; et al. 2013. Stochastic control of traffic patterns, Networks and Heterogeneous media. 8-1, pp.261-273.

 M. Lezaun, C. Gorria, D. Pardo, E. Sainz de la Maza, M. Lueches, D. Bilbao, and I. Gutierrez, Optimizacion del proceso de soldadura en la fabricacion de cadenas offshore, ``Proceedings of XXIII Congress Differential Equations and Applications, XIII Congress of Applied Mathematics'', pp. 891-899, Castellon, Spain, Sep. 2013. 

D. Pardo, C. Torres-Verdín, Fast Numerical Simulation and Inversion of LWD Resistivity Logs, ``Proceedings of Joint Industry Research Consortium on Formation Evaluation'' (Thirteenth Annual Meeting), Austin, TX, USA, Aug 2013. 

I. Gomez-Revuelto, L. E. Garcia-Castillo, D. Pardo, High-accuracy Adaptive Simulations of a Petri Dish Exposed to Electromagnetic Radiation, ``Procedia Computer Science'', Vol. 18, pp. 1555-1563, May 2013. 

J. Alvarez-Aramberri, D. Pardo, H. Barucq, Inversion of Magnetotelluric Measurements using Multigoal Oriented hp-Adaptivity, ``Procedia Computer Science'', Vol. 18, pp. 1565-1573, May 2013. 

I. Barrio, I. Arostegui, J.M. Quintana, the IRYSS-COPD Group. Use of generalized additive models to categorize continuous variables in clinical prediction. BMC Medical Research Methodology, 2013: 13-83 DOI: 10.1186/1471-2288-13-83. (IF 2.168; Q2).

I. Arostegui, V. Núñez-Antón, J.M. Quintana. On the recoding of continuous and bounded health indexes to a binomial form: An application to quality of life scores. Journal of Applied Statistics, 2013; 40(3): 563-582. DOI:10.1080/02664763.2012.749845. (IF 0.453; Q4).

M. Paszynski, D. Pardo, and V. Calo, Parallel Simulations of 3D DC Borehole Resistivity Measurements with a Goal-Oriented Self-Adaptive hp Finite Element Method, ``Journal of the Serbian Society for Computational Mechanics'', Vol 6 (2), pp. 1-18, Dec. 2012. 

I. Gomez-Revuelto, L. E. Garcia-Castillo, S. Llorente-Romano, and D. Pardo, A three-dimensional selfadaptive hp finite element method for the characterization of waveguide discontinuities, ``Computer Methods in Applied Mechanics and Engineering (CMAME)'' (Impact Factor: 2.626), Vol. 249-252, pp. 62-74, Dec. 2012. 

 G. Garate, E. G. Vadillo, G. Santamaria, and D. Pardo, Solution of 3D-Helmholtz equation in exterior domain using Spherical Harmonic Decomposition, ``Computers & Mathematics with Applications'' (Impact Factor: 2.062), Vol. 64, Issue 8, pp. 2520-2543, Oct. 2012. 

N. Collier, D. Pardo, L. Dalcin, M. Paszynski, V. M. Calo, The cost of continuity: a study of the performance of isogeometric finite elements using direct solvers, ``Computer Methods in Applied Mechanics and Engineering (CMAME)'' (Impact Factor: 2.626), Vol. 213-216, pp. 353-361, Mar 2012.

D. Pardo, M. Paszynski, N. Collier, J. Alvarez, L. Dalcin, and V. M. Calo, A Survey on Direct Solvers for Galerkin Methods, ``SEMA Journal'', Vol. 57, pp. 107-134, Jan. 2012.

E. Gajda-Zagorska, M. Paszynski, R. Shaefer, D. Pardo, V. M. Calo, hp-HGS strategy for inverse 3D DC resistivity logging measurement simulations, ``Procedia Computer Science'', Vol. 9, pp. 927-936, Jun 2012. 

 I. Gomez-Revuelto, L. E. Garcia-Castillo, S. Loorente-Romano, D. Pardo, 3D hp-Adaptive Finite Element Simulations of a Magic-T Electromagnetic Waveguide Structure, ``Procedia Computer Science'', Vol. 9, pp. 1444-1453, Jun 2012.

J. Alvarez-Aramberri, D. Pardo, M. Paszysnki, N. Collier, L. Dalcin, V. M. Calo, On Round-off Error for Adaptive Finite Element Methods, ``Procedia Computer Science'', Vol. 9, pp. 1474-1483, May 2012. 

 A. Paszynska, M. Paszynski, A. Szymczak, D. Pardo, Petri Nets for Detecting a 3D Deadlock Problem in hp-adaptive Finite Element Simulations, ``Procedia Computer Science'', Vol. 9, pp. 1434-1443, Jun 2012. 

A. Larruskain, E. Minguijon, K. García-Etxebarria, I. Arostegui, B. Moreno, R.A. Juste, B.M. Jugo. Amino acid signatures in the Ovar-DRB1 peptide-binding pocket are associated with Ovine Pulmonary Adenocarcinoma susceptibility/resistance. Biochemical and Biophysical Research Communications, 2012; 428: 463-468. (IF 2.406; Q3).

E. Salsamendi, I. Garin, I. Arostegui, U. Goiti, J. Aihartza. What mechismk of niche segregation allows the coexistence of sympatric sibling rhinolophid bats? Frontiers in Zoology, 2012; 9:30. DOI: 10.1186/1742-9994-9-30. (IF 3.871; Q1).

A. Larruskain, E. Minguijon, I. Arostegui, B. Moreno, R.A. Juste, B.M. Jugo. Microsatellites in immune-relevant genes and their associations with Maedi-Visna and Ovine Pulmonary Adenocarcinoma viral diseases. Veterinary Immunology and Immunopathology, 2012; 145 (1-2): 438-446. DOI:10.1016/j.vetimm.2011.12.020. (IF 1.877; Q1).

E. Salsamendi, I. Arostegui, J. Aihartza, D. Almenar, U. Goiti, I. Garin. Foraging ecology in Mehely's horseshoe bat: influence of habitat structure and water availability. Acta Chiropterologica, 2012; 14(1): 121–132. (IF 0.894; Q3).

I. Arostegui, V. Núñez-Antón, J.M. Quintana. Statistical approaches to analyze patient reported outcomes as response variables: An application to health related quality of life. Statistical Methods in Medical Research, 2012; 21(2): 189-214. DOI: 10.1177/0962280210379079. (IF 2.364; Q1).

C. Mendoza-Lera, A. Larrañaga, J. Pérez, E. Descals, A. Martínez, I. Arostegui, J. Pozo. Headwater reservoirs weaken terrestrial aquatic linkage by slowing-down leaf-litter processing in downstream regulated reaches. River Research and Applications, 2012; 28(1): 13-22. DOI: 10.1002/rra.1434. (IF 2.425; Q1).

M. Paszynski, T. Jurczyk, and D. Pardo, Multi-Frontal Solver for Simulations of Linear Elasticity Coupled with Acoustics, ``Computer SCIence Journal'', Vol 12., pp. 85-102 Nov. 2011. 

C. Qing, D. Pardo, L. Hong-Bin, W. Fu-Rong, Compensation Effect Analysis in DIE Method for ThroughCasing Measuring Formation Resistivity, ``Journal of Applied Geophysics'' (Impact Factor: 1.642), Vol. 74, Issue 4, pp. 287-293, Aug. 2011. 

D. Pardo, P. Matuszyk, C. Torres-Verdin, A. Mora, I. Muga, V. M. Calo, Simulation of Wireline Sonic Logging Measurements with Borehole-Eccentered Tools using a High-Order Adaptive Finite Element Method, ``Journal of Computational Physics'' (Impact Factor: 2.485), Vol. 230, Issue 16, pp. 6320-6333, Jul 2011. 

C. Qing, D. Pardo, L. Hong-Bin, W. Fu-Rong, New Post-Processing Method for Interpretation of Through Casing Resistivity (TCR) Measurement, ``Journal of Applied Geophysics'' (Impact Factor: 1.642), Vol. 74, Issue 1, pp. 19-25, May 2011. 

L. Demkowicz, P. Gatto, J. Kurtz, M. Paszynski, W. Rachowicz, E. Bleszynski, M. Hamilton, C. Champlin and D. Pardo, Modeling of bone conduction of sound in the human head using hp-finite elements: code design and verification, ``Computer Methods in Applied Mechanics and Engineering (CMAME)'' (Impact Factor: 2.626), Vol. 200, Issue 21-22, pp. 1757-1773, May 2011. 

J. Zitelli, I. Muga, L. Demkowicz, J. Gopalakrishnan, D. Pardo, and V. M. Calo, A Class of Discontinuous Petrov-Galerkin Methods. Part IV: Wave Propagation, ``J. of Computational Physics'' (Impact Factor: 2.485), Vol. 230, Issue 7, pp. 2406-2432, Apr 2011. 

M. Paszynski, D. Pardo, Parallel self-adaptive hp finite element method with shared data structure, ``Computer Methods in Material Science'', Vol 11, no. 2, pp. 399-405, Mar 2011. 

D. Pardo, M. J. Nam, C. Torres-Verdín, M. Hoversten, I. Garay, Simulation of Marine Controlled Source Electromagnetic (CSEM) Measurements Using a Parallel Fourier hp-Finite Element Method, ``Computational Geosciences'' (Impact Factor: 1.612), Vol. 15, Issue 1, pp. 53-67, Jan. 2011.

Yuri B. Gaididei; et al. 2011. Complex spatiotemporal behavior in a chain of one-way nonlinearly coupled elements, Discrete and continuous dynamical systems. 4-5, pp.1167-1189.

Yuri B. Gaididei; et al. 2011. Effects of charge-charge interactions and external fields in shape transformations of closed filaments Boletin SEMA. 49-1, pp.45-64.

Jose Javier Saiz Garitaonandia; et al. 2011. Thiol-capped ferromagnetic Au nanoparticles investigated by Au L-3 x-ray absorption spectroscopy, Journal of applied physics. AIP Publishing. 105-7, pp.07A907.

 D. Pardo, and C. Torres-Verdin, Sensitivity study to quantify hydrofractures with borehole resistivity measurements, ``Proceedings of Joint Industry Research Consortium on Formation Evaluation'' (Eleventh Annual Meeting), Austin, TX, USA, Aug 2011. 

 A. Galdran, D. Pardo, A. Picon, Mathematical image segmentation. Variational and level set techniques, ``Proceedings of the RSME Conference on Transfer and Industrial Mathematics'' (RSME2011), pp. 114- 118, Ed.: P. Quintela, M. J. Esteban, V. Gonzalez, M. C. Muniz, J. Rubio, J. J. Salazar, Jun 2011. 

V. M. Calo, N. O. Collier, D. Pardo, M. Paszysnki, Computational complexity and memory usage for multi-frontal direct solvers used in p finite element analysis, ``Procedia Computer Science'', Vol 4, pp. 1854-1861, ICCS2011, May 2011. 

A. Szymczak, A. Paszynska, M. Paszynski, D. Pardo, Anisotropic 2D mesh adaptation in hp-adaptive FEM, ``Procedia Computer Science'', Vol 4, pp. 1818-1827, ICCS2011, May 2011.

 M. Paszynski, D. Pardo, A. Paszynska, L. Demkowicz, Out-of-core multi-frontal solver for multi-physics hp adaptive problems, ``Procedia Computer Science'', Vol 4, pp. 1788-1797, ICCS2011, May 2011. 

V. M. Calo, D. Pardo, M. Paszynski, Goal-Oriented Self-Adaptive hp Finite Element Simulation of 3D DC Borehole Resistivity Simulations, ``Procedia Computer Science'', Vol 4, pp. 1485-1495, ICCS2011, May 2011. 

I. Arostegui, V. Núñez-Antón, J.M. Quintana. Regression methods to analyze patient-reported outcomes. Annales de L’Institut de Statistique de L’Université de Paris, 2011; 55(2):9-12.

C. Esteban, I. Arostegui, J. Moraza, M. Aburto, J.M. Quintana, J. Pérez-Izquierdo, S. Aizpiri, A. Capelastegui. Development of a decision tree to assess the severity and prognosis of stable COPD. European Respiratory Journal, 2011; 38(6):1294-1300. DOI: 10.1183/09031936.00189010. (IF 5.895; Q1).

J. Pozo, J. Casas, M. Menéndez, S. Mollá, I. Arostegui, A. Basaguren, C. Casado, E. Descalfs, J. García-Avilés, J.M. González, A. Larrañaga, E. López, M. Lusi, O. Moya, J. Pérez, T. Riera, N. Roblas, M.J. Salinas. Leaf-litter decomposition in headwater streams: A comparison of the proccess among four climatic regions. Journal of the North American Benthological Society, 2011; 30(4): 935-950. (IF 2.800; Q1).

C. Esteban, J.M. Quintana, M. Aburto, J. Moraza, I. Arostegui, S. Aizpiri, A. Capelastegui. The Health, Activity, Dyspnea, Obstruction, Age, and Hospitalization score: a new severity and prognosis score for patients with stable COPD. Respiratory Medicine, 2011; 105(11): 1662-1670. DOI:10.1016/j.rmed.2011.05.005. (IF 2.475; Q2).

J.M. Quintana, C. Esteban, I. Barrio, S. García-Gutierrez, N. González, I. Arostegui, I. Lafuente, M. Baré, J.A. Blasco, S. Vidal, the IRYSS-COPD Group. The IRYSS-COPD Appropriateness Study: Objectives, Methodology, and Description of the Prospective Cohort. BMC Health Services Research, 2011; 11:322. DOI:10.1186/1472-6963-11-322. (IF 1.660; Q2).

A. Allepuz, J.M. Quintana, M. Espallargues, A. Escobar, M. Moharra, I. Arostegui. Relationship between total hip replacement appropriateness and surgical priority instruments. Journal of Evaluation in Clinical Practice, 2011; 17: 18-25. DOI: 10.1111/j.1365-2753.2010.01362.x. (IF 1.229; Q2).

A. Szymczak, M. Paszynski, D. Pardo, Graph grammar based Petri net controlled direct solver algorithm, ``Computer Science Journal'', Vol. 11, pp. 65-79, Dec. 2010. 

M. J. Nam, D. Pardo, C. Torres-Verdin, Assessment of Delaware and Groningen Effects on DualLaterolog Measurements Using a Self-Adaptive hp Finite-Element Method, ``Geophysics'' (Impact Factor: 1.662) 75, F143-F149 (Impact Factor: 1.759), Nov 2010.

M. J. Nam, D. Pardo, C. Torres-Verdin, Simulation of Tri-Axial Induction Measurements in Dipping, Invaded, and Anisotropic Formations Using a Fourier Series Expansion in a Non-Orthogonal System of Coordinates and a Self-Adaptive hp Finite-Element Method, ``Geophysics'' (Impact Factor: 1.759), Vol. 75, Issue 3, pp. F83-F95, Jun 2010. 

M. Paszynski, D. Pardo, A. Paszynska, Parallel multi-frontal solver for multi-physics p adaptive problems, ``Journal of Computational Sciences'' (Impact Factor: 1.567), Vol. 1, Issue 1, pp. 48-54, May 2010. 

 M. J. Nam, D. Pardo, C. Torres-Verdin, S. Hwang, K. G. Park, C. Lee, Simulation of Eccentricity Effects on Short and Normal Logging Measurements Using a Fourier-hp-Finite-Element Method, ``Exploration Geophysics'' (Impact Factor: 0.554), Vol. 41, pp. 1-9, Jan 2010. 

C. Qing, D. Pardo, L. Hong-Bin, and W. Fu-Rong, Arithmetic Method of Double-Injection-Electrodes Model for Resistivity Measurement Through Metal Casing, ``IEEE Transactions on Geosciences and Remote Sensing'' (Impact Factor: 2.966), Vol. 48, pp. 36-41, Jan 2010. 

M. Paszynski, D. Pardo, C. Torres-Verdín, L. Demkowicz, and V. Calo, A Parallel Direct Solver for SelfAdaptive hp-Finite Element Method, ``Journal of Parallel and Distributed Computing'' (Impact Factor: 1.011), Vol. 70, pp. 270-281, Jan 2010.

 I. Gomez-Revuelto, D. Pardo, L. E. Garcia-Castillo, J. Kurtz, Calculo de Dosimetria Mediante Elementos Finitos con Adaptabilidad Automatica hp en Tres Dimensiones, ``Proceedings of XXV Symposium NURSI'' Bilbao, Spain, Sep 2010. 

D. Pardo, P. Matuszyk, A. Mora, V. M. Calo, I. Muga, and C. Torres-Verdin, Simulation of Acoustic Logging Measurements with Borehole-Eccentered Tools using a hp-Fourier Finite Element Method., ``Proceedings of Joint Industry Research Consortium on Formation Evaluation'' (Tenth Annual Meeting), Austin, TX, USA, Aug 2010. 

M. Paszynski, P. Gurgul, M. Sienik, and D. Pardo, Unified Modeling Language description of the objectoriented multi-scale adaptive finite element method for Step-and-Flash Imprint Lithography Simulations, ``IOP Conference Series: Materials Science and Engineering'', Vol. 10, Issue 1, pp. 1-10, Jun 2010.

M. Paszynski, D. Pardo, A. Paszynska, Parallel Multi-Frontal Solver for Multi-Physics p-Adaptive Problems, ``Procedia Computer Science'', Vol 1, Issue 1, pp. 1977-1986, ICCS2010, May 2010.

 D. Pardo, Multigoal-Oriented Adaptivity for hp-Finite Element Methods, ``Procedia Computer Science'', Vol 1, Issue 1, pp. 1947-1955, ICCS2010, May 2010. 

K. Centarowicz, M. Paszynski, D. Pardo, T. Bosse, H. La Poutre, Agent-based computing, adaptive algorithms and bio computing, ``Procedia Computer Science'', Vol 1, Issue 1, pp. 1945-1946, ICCS2010, May 2010. 

J. Zitelli, I. Muga, L. Demkowicz, J. Gopalakrishnan, D. Pardo, and V.M. Calo, A Class of Discontinuous Petrov-Galerkin Methods. Part IV: Wave Propagation, ``ICES Report 10-17'', May 2010. 

J.M. Quintana, I. Arostegui, T. Alberdi, A. Escobar, E. Perea, G. Navarro, B. Elizalde. Decision trees for indication of cataract surgery based on changes in visual acuity. Ophthalmology, 2010; 117(8):1471-1478. DOI: 10.1016/j.ophtha.2009.12.041. (IF 5.017; Q1).

I. Arostegui, A. Padierna, J.M. Quintana. Assessment of HRQoL in patients with eating disorders by the beta-binomial regression approach. International Journal of Eating Disorders, 2010; 43(5): 455-463. DOI: 10.1002/eat.20713. (IF 2.278; Q2).

A. Larruskain, E. Minguijon, K. García-Etxebarria, B. Moreno, I. Arostegui, R.A. Juste, B.M. Jugo. MHC Class II DRB1 gene polymorphism in the patogenesis of Maedi-Visna and Pulmonary Adenocarcinoma viral diseases in sheep. Immunogenetics, 2010; 62(2): 75-83. DOI: 10.1007/s00251-009-0419-2. (IF 2.942; Q2).

M.J. Nam, D. Pardo, C. Torres-Verdin, Simulation of Dual-Laterolog Measurements in Dipping, Invaded and Anisotropic Formations Using a Fourier Series Expansion in a Non-Orthogonal System of Coordinates and a Self-Adaptive hp-Finite Element Method. ``Geophysics'' (Impact Factor: 1.759), Vol. 74, Issue 1, pp. E31-E43, Jan 2009.

Yuri B. Gaididei; Carlos Gorria; Peter Leth Christiansen. 2009. Langevi dynamics of conformational transformations induced by the charge-curvature interaction, Journal of biological physics. Springer. 35-1, pp.103-113.

.M. J. Nam, D. Pardo, C. Torres-Verdin, Simulation of Tri-Axial Induction Measurements in the Presence of Tool Eccentricity Using a Fourier Series Expansion in a New Sytem of Coordinates and a Self-Adaptive hp-Finite Element Method, ``Proceedings of Joint Industry Research Consortium on Formation Evaluation'' (Ninth Annual Meeting), Austin, TX, USA, Aug 2009. 

P. Matuszyk, L. Demowicz, D. Pardo, J. Ma, C. Torres-Verdin, 2D Finite Element Simulation of Sonic Measurements Acquired in the Presence of a Tool Mandrel, ``Proceedings of Joint Industry Research Consortium on Formation Evaluation'' (Ninth Annual Meeting), Austin, TX, USA, Aug 2009. 

 D. Pardo, P. Matuszyk, M. J. Nam, A hp Fourier-Finite-Element Framework with Multiphysics Applications, ``Proceedings of Adaptive Modeling and Simulation 2009'', pp. 157-160, May 2009. 

 M. Paszysnki, D. Pardo, and C. Torres-Verdín, Performance of a Multi-Frontal Parallel Direct Solver for hp Finite Element Method, ``Proceedings of IASTED International Conference on Advances in Computer Science and Engineering'', ISBN 978-0-88986-790-1, pp. 114-119, Phuket, Thailand, Mar 2009. 

L. E. Garcia-Castillo, D. Pardo, L. Demkowicz, Automatic hp-Adaptivity for Electromagnetics with Applications to Waveguide Discontinuities. ``IEEE Transactions on Microwave Theory and Techniques'' (Impact Factor: 2.943), Vol. 56, Issue 12, pp. 3039-3049, Dec 2008. 

D. Pardo, C. Torres-Verdin, and Z. Zhang, Sensitivity study of borehole-to-surface and crosswell electromagnetic measurements acquired with energized steel casing to water displacement in hydrocarbonbearing layers, ``Geophysics'' (Impact Factor: 1.759), Vol. 72, Issue 6, pp. F261-268, Nov 2008. 

D. Pardo, L. Demkowicz, C. Torres-Verdín, and C. Michler, PML Enhanced with a Self-Adaptive GoalOriented hp Finite-Element Method and Applications to Through-Casing Borehole Resistivity Measurements, ``SIAM Journal on Scientific Computing'', special issue on Computational Science and Engineering (Impact Factor: 2.397), Vol. 30, pp. 2948-2964, Oct 2008. 

D. Pardo, C. Torres-Verdin, M. J. Nam, M. Paszynski, and V.M. Calo, Fourier Series Expansion in a Non-Orthogonal System of Coordinates for the Simulation of 3D Alternating Current Borehole Resistivity Measurements. ``Computer Methods in Applied Mechanics and Engineering'' (Impact Factor: 2.626), Vol. 197, pp. 3836-3849, Aug 2008. 

D. Pardo, V. Calo, C. Torres-Verdin, and M. J. Nam, Fourier Series Expansion in a Non-Orthogonal System of Coordinates for the Simulation of 3D DC Borehole Resistivity Measurements, ``Computer Methods in Applied Mechanics and Engineering'' (Impact Factor: 2.626), Vol. 197, Issues 1-3, pp. 1906- 1925, Apr 2008. 

D. Pardo, C. Torres-Verdín, M. Paszynski, Simulations of 3D DC Borehole Resistivity Measurements with a Goal-Oriented hp-Finite-Element Method. Part II: Through Casing Resistivity Instruments, ``Computational Geosciences'' (Impact Factor: 1.612), Vol. 12, Issue 1, pp. 83-89, Mar 2008.

Yuri B. Gaididei; et al. 2008. Conformational transformations induced by the charge-curvature interaction at finite temperature Physical preview. 78-5, pp.051908-1-051908-10.

D. Pardo, C. Torres-Verdin, M. J. Nam, and V. M. Calo Multi-Physics Inversion of Borehole Resistivity Measurements. Part I: Algorithms, Methods, and Library Design, ``Extended abstract for the 2008 Joint Industry Research Consortium on Formation Evaluation'' (Eighth Annual Meeting), The University of Texas at Austin, TX, USA, Aug 2008. 

 M. J. Nam, D. Pardo, C. Torres-Verdin, Self-Adaptive hp Finite-Element Simulation of Multi-Component Induction Measurements Acquired in Dipping, Invaded, and Anisotropic Formations, ``Extended abstract for the 2008 Joint Industry Research Consortium on Formation Evaluation'' (Eighth Annual Meeting), The University of Texas at Austin, TX, USA, Sep 2008. 

M. J. Nam, D. Pardo, C. Torres-Verdin, Self-Adaptive hp Finite-Element Simulation of AC/DC Dual Laterolog Measurements in Dipping, Invaded, and Anistropic Formations, ``Extended abstract for the 2008 Joint Industry Research Consortium on Formation Evaluation'' (Eighth Annual Meeting), The University of Texas at Austin, TX, USA, Aug 2008. 

 D. Pardo, C. Torres-Verdín, M. J. Nam and M. Paszynski A Parallel, Fourier Finite-Element Formulation with an Iterative Solver for the Simulation of 3D LWD Measurements Acquired in Deviated Wells. ``Piers Online'', Vol. 4, No 5, pp. 551-555, Boston, MA, Jun 2008. 

M. Paszynski, D. Pardo, C. Torres-Verdin, Parallel Goal-Oriented Fully Automatic hp Adaptive Finite Element Method Algorithm with Shared Data Structures, ``Advances in Structural Engineering and Mechanics'' (ASEM 2008), Jeju, Korea, May 2008.

J.M. Quintana, I. Arostegui, A. Escobar, I. Azkarate, J.I. Goenaga, I. Lafuente. Prevalence of knee and hip osteoarthritis and the appropriateness of joint replacement in an older population. Archives of Internal Medicine, 2008; 168(14): 1576-1584. (IF 9.110; Q1).

J.M. Quintana, A. Escobar, I. Arostegui, A. Bilbao, P. Armendariz, I. Lafuente, U. Agirre. Prevalence of symptoms of knee or hip joints in older adults from the general population. Aging Clinical and Experimental Research, 2008; 20(4): 329-336. (IF 1.397; Q3).

I. Arostegui, V. Núñez-Antón. Aspectos estadísticos del cuestionario de calidad de vida relacionada con la salud Short Form – 36 (SF-36). Estadística Española, 2008; 50 (167): 147-192.

D. Pardo, M. Paszynski, C. Torres-Verdin, and L. Demkowicz, Simulation of 3D DC Borehole Resistivity Measurements with a Goal-Oriented hp Finite-Element Method. Part I: Laterolog and LWD, ``Journal of the Serbian Society for Computational Mechanics'', Vol. 1, pp. 62-73, Dec 2007.

 L.E. García-Castillo, D. Pardo, I. Gómez-Revuelto, and L. Demkowicz, A Two-Dimensional Self-Adaptive hp Finite Element Method (FEM) for the Characterization of Waveguide Discontinuities. Part I: Energy-norm Based Automatic hp-Adaptivity, ``Computer Methods in Applied Mechanics and Engi-neering'' (Impact Factor: 2.626), Vol. 196, Issues 49-52, pp. 4823-4852, Nov 2007.

D. Pardo, L.E. García-Castillo, L. Demkowicz, and C. Torres-Verdín, A Two-Dimensional Self-Adaptive hp Finite Element Method (FEM) for the Characterization of Waveguide Discontinuities. Part II: Goal-Oriented hp-Adaptivity, ``Computer Methods in Applied Mechanics and Engineering'' (Impact Factor: 2.626), Vol. 196, Issues 49-52, pp. 4811-4822, Nov 2007.

D. Pardo, L. Demkowicz, C. Torres-Verdín, and M. Paszynski, A Goal Oriented hp-Adaptive Finite Element Strategy with Electromagnetic Applications. Part II: Electrodynamics, ``Computer Methods in Applied Mechanics and Engineering'', special issue in honor of Prof. Ivo Babuska (Impact Factor:2.626),Vol. 196, Issues 37-40, pp. 3585-3597, Aug 2007.

C. Michler, L. Demkowicz, J. Kurtz, D. Pardo, Improving the Performance of Perfectly Matched La-yers by Means of hp-Adaptivity, ``Numerical Methods for Partial Differential Equations'' (Impact Factor: 1.057), Vol. 23, Issue 4, pp. 832-858, Jul 2007.

D. Pardo, C. Torres-Verdín, L. Demkowicz, Feasibility Study for Two-Dimensional Frequency Depen-dent Electromagnetic Sensing Through Casing, ``Geophysics'' (Impact Factor: 1.759), Vol. 72, No. 3, pp. F111-118, May 2007.

I. Gómez-Revuelto, L. E. García-Castillo, D. Pardo, L. Demkowicz, A Two-Dimensional Self-Adaptive hp Finite Element Method for the Analysis of Open Region Problems in Electromagnetics, ``IEEE Tran-sactions on Magnetics'' (Impact Factor: 1.223), Vol. 43, Issue 4, pp. 1337-1340, Apr 2007.

L. Demkowicz, J. Kurtz, D. Pardo, M. Paszynski, W. Rachowicz, A. Zdunek, Computing with hpAdaptive Finite Elements. Volume II: 3D Computations, Editor: ``Chapman at Hall/CRC'', Sep 2007.

M.Paszynski, D. Pardo, C. Torres-Verdín and P. Matuszyk, Efficient sequential and parallel solvers for hp Finite Element Method, ``APCOM'07 Conference in Kyoto'', Japan Dec 2007. 

D. Pardo, C. Torres-Verdín, and M. Paszynski, Numerical Simulation of 3D EM Borehole Measurements Using an hp-Adaptive Goal-Oriented Finite Element Formulation, ``SEG Expanded Abstracts'' 26, pp. 653-657, Sep 2007. 

D. Pardo, C. Torres-Verdin, M.J. Nam, M. Paszynski, and V. Calo Self-Adaptive hp-Finite Element Simulations of Multi-Component Induction Measurements Acquired in Dipping, Invaded, and Anisotropic Formations, ``Extended abstract for the 2007 Consortium on Formation Evaluation'', The University of Texas at Austin, TX, USA, Aug 2007. 

M. J. Nam, D. Pardo, and C. Torres-Verdin, Self-Adaptive hp-Finite Element Simulation of DualLaterolog Measurements in Dipping, Invaded, and Anisotropic Formations, ``Extended abstract for the 2007 Consortium on Formation Evaluation'', The University of Texas at Austin, TX, USA, Aug 2007. 

 L. E. García-Castillo, D. Pardo, and L. Demkowicz, Fully Automatic hp-Adaptivity for Electromagnetics. Application to the Analysis of H-Plane and E-Plane Rectangular Waveguide Discontinuities, ``Extended abstract for the IEEE MTT-S International Microwave Symposium 2007'', Hawaii, Jul 2007. 

 M. Paszynski, D. Pardo, L. Demkowicz, and C. Torres-Verdín, An algorithm for transferring 2D arbitrary hp-refined finite element axially symmetric meshes to three dimensions, ``Extended abstract for the XIV Conference in Computer Methods in Material Science'', Zakopane, Poland, Jan 2007. 

 L.E. García-Castillo, D. Pardo, I. Gómez-Revuelto, L. Demkowicz, and C. Torres-Verdín, Analysis of Waveguide Discontinuities with the Self-Adaptive hp Finite Element Method, ``ICES Report 07-13'', Apr 2007. 

D. Pardo, L. Demkowicz, C. Torres-Verdín, and M. Paszynski, Simulation of Resistivity Logging-While-Drilling (LWD) Measurements Using a Goal-Oriented hp Finite Element Method, ``SIAM Journal on Applied Mathematics'' (Impact Factor: 1.543), Vol. 66, Issue 6, Oct 2006. 

 D. Pardo, C. Torres-Verdín, and L. Demkowicz, Simulation of Multi-Frequency Borehole Resistivity Measurements Through Metal Casing Using a Goal-Oriented hp Finite Element Method, ``IEEE Tran-sactions on Geoscience and Remote Sensing'' (Impact Factor: 2.966), Vol. 44, Issue 8, 2125-2135, Aug 2006.

 W. Rachowicz, D. Pardo, and L. Demkowicz, Fully Automatic hp-Adaptivity in Three Dimensions, ``Computer Methods in Applied Mechanics and Engineering'' (J.H. Argyris Memorial Issue) (Impact Factor: 2.626), Vol. 195, Issues 37-40, 4816-4842, Jul 2006.

 D. Pardo, L. Demkowicz, and J. Gopalakrishnan Integration of hp-Adaptivity and a Two Grid Solver for Electromagnetic Problems, ``Computer Methods in Applied Mechanics and Engineering'' (Impact Factor: 2.626), Vol. 195, Issues 19-22, 2533-2573, Apr 2006.

D. Pardo, L. Demkowicz, C. Torres-Verdin, L. Tabarovsky, A Goal Oriented HP-Adaptive Finite Element Strategy with Electromagnetic Applications. Part I: Electrostatics. ``International Journal for Numerical Methods in Engineering (Impact Factor: 1.966)'', Vol. 65, Issue 8, 1269-1309, Feb 2006.

D. Pardo, and L. Demkowicz, Integration of hp-Adaptivity and a Two Grid Solver for Elliptic Problems, ``Computer Methods in Applied Mechanics and Engineering'' (Impact Factor: 2.626), Vol. 195, Issues 7-8, 674-710, Jan 2006.

D. Pardo, M. Paszynski, C. Torres-Verdín, and L. Demkowicz, Numerical Simulation of 3D DC Borehole Resistivity Measurements Using an hp-Adaptive Goal-Oriented Finite Element Formulation, ``Extended abstract for the 2006 Joint Industry Research Consortium on Formation Evaluation (Sixth Annual Meeting)'', The University of Texas at Austin, TX, USA, Aug 2006. 

 D. Pardo, C. Torres-Verdín, M. Paszynski, C. Michler, and L. Demkowicz, A 2D and 3D hp-Finite Element Method for Simulation of Through Casing Resistivity Logging Instruments, ``IEEE International Symposium on Antennas and Propagation'', Vol. 9, pp. 1769-1772, Albuquerque, NM, USA, Jul 2006. 

 D. Pardo, C. Torres-Verdín, Developments During the Year 2006 on the 2D and 3D Resistivity Logging hp-Finite Element Codes, ``Baker-Hughes Report'', Dec 2006. 

.D. Pardo, C. Torres-Verdín, Oil Detection in Large Distances Surface-to-Surface and Surface-toBorehole Electromagnetic (EM) Measurements Due to Energized Steel Casing, ``Shell Report'', Jul 2006. 

 D. Pardo, C. Torres-Verdín, L. Demkowicz, Study of Invasion Effects in Surface-to-Borehole and CrossWell Electromagnetic (EM) Measurements Due to Energized Steel Casing, ``Shell Report'', Jun 2006. 

 M. Paszynski, D. Pardo, L. Demkowicz, and C. Torres-Verdín, Parallel hp-Finite Element Simulations of 3D Resistivity Logging Instruments, ``ICES Report 06-01'', Jan 2006. 

 D. Pardo, C. Torres-Verdín, and L. Demkowicz, Simulation of Surface-to-Borehole and Cross-Well EM Measurements Due to Energized Steel Casing, ``Shell Report'', Jan 2006. 

M. Paszynski, L. Demkowicz, and D. Pardo, Verification of Goal-Oriented hp-Adaptivity. ``Computer Mathematics with Applications'', (Impact Factor: 1.996), Vol. 50, Issues 8-9, 1395-1404, Nov 2005.

D. Pardo, C. Torres-Verdín, and L. Demkowicz, High Accuracy Simulations of Resistivity Logging Instruments Using a Self-Adaptive Goal-Oriented hp-FEM, ``Proceedings of the International Conference on Adaptive Modeling and Simulation (ADMOS 2005)'', Eds: P. Diez and N.E. Wiberg, Barcelona, Spain, Sep 2005. 

D. Pardo, C. Torres-Verdín, and L. Demkowicz, Self-Adaptive Goal-Oriented hp-Finite Element Simulations of Induction and Laterolog Measurements in the Presence of Steel Casing, ``Extended abstract for the 2005 Joint Industry Research Consortium on Formation Evaluation (Fifth Annual Meeting)'', The University of Texas at Austin, TX, USA, Aug 2005.

 D. Pardo, M. Paszysnki, L. Demkowicz, and C. Torres-Verdín, Self-Adaptive Goal-Oriented hp-Finite Element Simulations of: (1) Axisymmetric Borehole Acoustics, and (2) 3D Resistivity Logging Instruments, ``Extended abstract for the 2005 Joint Industry Research Consortium on Formation Evaluation (Fifth Annual Meeting)'', The University of Texas at Austin, TX, USA, Aug 2005.

 D. Pardo, C. Torres-Verdin, and L. Demkowicz, Comparison of a Goal-Oriented hp-Adaptive Strategy vs. a Radial Code, ``Baker-Atlas Report'', Nov 2005. 

D. Pardo, Integration of hp-Adaptivity with a Two Grid Solver: Applications to Electromagnetics, ``The University of Texas at Austin'', Ph.D. Dissertation, May 2004.

 D. Pardo, C. Torres-Verdín, and L. Demkowicz, Using a Goal-Oriented hp-Adaptive Strategy to Solve a DC Resistivity Logging Model Problem, ``Baker-Atlas Report'', Jul 2004. 

 D. Pardo, and L. Demkowicz, Fully Automatic Goal-Oriented hp-Adaptivity for Elliptic Problems. ``Baker-Atlas Report'', May 2004. 

D. Pardo, An hp-Adaptive Finite Element (FE) Method for Solving Electromagnetic (EM) Problems. Part I: Petroleum Engineering Applications, ``Baker-Atlas Report'', May 2003. 

 L. Demkowicz, D. Pardo, and W. Rachowicz, 3D hp-Adaptive Finite Element Package (3Dhp90). Version 2.0. The Ultimate Data Structure for Three-Dimensional, Anisotropic hp-Refinements, ``TICAM Report 02-24'', Oct 2002.

J.M. Quintana, I. Arostegui, A. Escobar, I. Lafuente, J.C. Arenaza, I. García, U. Agirre. Validation of a screening questionnaire for hip and knee osteoarthritis in old people. BMC Musculoskeletal Disorders, 2007; 8-84. DOI: 10.1186/1471-2474-8-84. (IF 1.323; Q2).

A. Escobar, J.M. Quintana, A. Bilbao, I. Arostegui, I. Lafuente, I. Vidaurreta. Responsiveness and clinically important differences for the WOMAC and the SF-36 after total knee replacement. Osteoarthritis and Cartilage, 2007; 15: 273-280. DOI: 10.1016/j.joca.2006.09.001. (IF 3.793; Q1).

I. Arostegui, V. Núñez-Antón, J.M. Quintana. Analysis of the Short Form – 36 (SF-36): The beta-binomial distribution approach. Statistics in Medicine, 2007; 26(6): 1318-1342. DOI: 10.1002/sim.2612. (IF 1.547; Q1).

I. Arostegui, J.M. Quintana, A. Urkaregi. Use of statistical techniques to synthesise explicit criteria developed by an expert panel. Methods of Information in Medicine, 2006; 45(6): 622-630. (IF 1.684; Q1). 

J.M. Quintana, A. Escobar, I. Arostegui, the IRYSS-Appropriateness Cataract group. Development of explicit criteria for cataract extraction by phacoemulsification. BMC Health Services Research, 2006; 6:23. DOI: 10.1186/1472-6963-6-23. (IF 1.198; Q3).

J.M. Quintana, A. Escobar, I. Arostegui, A. Bilbao, J. Azkarate, J.I. GoenagaI,J.C.  Arenaza. Health-Related Quality of Life and Appropriateness of Knee or Hip Joint Replacement. Archives of Internal Medicine, 2006; 166: 220-226. (IF 7.920; Q1).

J.M. Quintana, A. Escobar, A. Bilbao, I. Arostegui, I. Lafuente, I. Vidaurreta. Responsiveness and clinically important differences for the WOMAC and the SF-36 after hip joint replacement. Osteoarthritis and Cartilage, 2005;13: 1076-1083. DOI: 10.1016/j.joca.2005.06.012. (IF 4.215; Q1).

J.M. Quintana, J. Cabriada, I. Arostegui, V. Orive, L. Perdigo, M. Varona, A. Bilbao. Health-related quality of life and appropriateness of cholecystectomy. Annals of Surgery, 2005; 241(1): 110-118. DOI: 10.1097/01.sla.0000149302.32675.22. (IF 6.328; Q1).

J.M. Quintana, I. Arostegui, V. Oribe, I. López de Tejada, B. Barrios, I. Garay. Influence of age and gender on quality of life outcomes after cholecystectomy. Quality of Life Research, 2005; 14: 815-825. (IF 1.915; Q1).

N. González, J.M. Quintana, I. Arostegui, A. Padierna, E. Martinez, I. Crespo, M.A. Vesga. Translation and psychometric testing of the Basque version of the SF-36 Health Survey. Quality of Life Research, 2005; 14: 549-554. (IF 1.915; Q1).

J.M. Quintana, J. Cabriada, I. López de Tejada, L. Perdigo, I. Arostegui, A. Bilbao, I. Garay. Appropriateness variation in cholecystectomy. European Journal of Public Health, 2004; 14(3): 252-257. (IF 1.051; Q3).

J.M. Quintana, I. Arostegui, J. Cabriada, I. López de Tejada, L. Perdigo. Predictors of health-related quality of life improvement among patients undergoing cholecystectomy. British Journal of Surgery, 2003; 90: 1549-1555. DOI: 10.1002/bjs.4345. (IF 3.772; 1Q).

J.M. Quintana, J. Cabriada, I. Arostegui, I. Lopez De Tejada, A. Bilbao.  Quality-of-life outcomes with laparoscopic vs open cholecystectomy. Surgical Endoscopy, 2003; 17: 1129-1134. DOI: 10.1007/s00464-002-9202-2. (IF 2.122; Q1).

J.M. Quintana, A. Padierna, C. Esteban, I. Arostegui, A. Bilbao. Evaluation of the psychometric characteristics of the Spanish version of the Hospital Anxiety and Depression scale. Acta Psychiatrica Scandinavica, 2003; 107: 216-21. (IF 2.356; Q2).

A. Escobar, J.M. Quintana, I. Arostegui, J. Azkarate, J.I. Goenaga, J.C. Arenaza, I. Garay. Development of explicit criteria for total knee replacement.  International Journal of Technology Assessment in Health Care, 2003; 19(1): 57-70. (IF 0.754; Q3).

A. Padierna. J.M. Quintana. I. Arostegui. N. Gonzalez. M.J. Horcajo. Changes in health related quality of life among patients treated for eating disorders.  Quality of Life Research, 2002; 11(6): 545-52. (IF 1.500; Q1).

I. Ruiz de Velasco, J.M. Quintana, A. Padierna, I. Arostegui, A. Bernal, J. Pérez-Izquierdo, J.M. Ojanguren, C. Anitua, N. González, Y. Etxeberria. Validez del cuestionario de calidad de vida SF-36 como indicador de resultados de procedimientos médicos y quirúrgicos. Revista de Calidad Asistencial, 2002; 17(4): 206-12.

J.M. Quintana, J. Cabriada, I. Lopez de Tejada, M. Varona, V. Oribe, B. Barrios, I. Arostegui, A. Bilbao. Development of Explicit Criteria for Cholecystectomy. Quality and Safety in Health Care, 2002; 11: 320-6. (IF 1.341; Q2).

J.M. Quintana, I. Arostegui, J. Azkarate, J.I. Goenaga, R. Tobio, J.M. Aranburu, B. Goikoetxea. Use of explicit criteria for total hip joint replacement fixation techniques. Health Policy, 2002 60(1): 1-16. (IF 0.877; Q3).