PUBLICATIONS JCR

Fuente: Scopus - Noviembre 2024

1. M. arantes; W. Manteiga; J. Martínez; A. Pinto; Striking a Balance: Navigating the Trade-offs Between Predictive Accuracy and Interpretability in Machine Learning Models ELECTRONIC RESEARCH ARCHIVE, 33(4), 2092-2117, 2025

2. P.Reyes; A. Pinto; J. Martínez; A. Yazdi; Y. Tan The Application of Machine Learning and Deep Learning with a Multi-Criteria Decision Analysis for Pedestrian Modeling: A Systematic Literature Review (1999–2023); SUSTAINABILITY;  17(1), 41; 2025

3. J. Cabrera Alvargonzalez;  Ana Larrañaga Janeiro;  Javier Martinez Torres;  Sonia Pérez Castro;  Sonia Rey Cao;  Carlos Daviña Nuñez;  Víctor Del Campo Pérez;  Carmen Duran Parrondo;  Silvia Suarez Luque;  Elena González Alonso;  Alfredo Silva Tojo;  Jacobo Porteiro Fresco;  Benito Regueiro Garcia. Assessment of the effective sensitivity of SARS-CoV-2 sample pooling based on a large-scale screening experience: Retrospective analysis;  JMIR PUBLIC HEALTH AND SURVEILLANCE; 24:10:e54503;  2024

4. P.Reyes; J. Martínez; A. Nemati; S.H. Zolfani; J. Antuchevicine. Towards Sustainable Urban Futures: Integrating a Novel Grey Multi-Criteria Decision Making Model for Optimal Pedestrian Walkway Site Selection; SUSTAINABILITY; 16(11); 4437;  2024

5. A. Larrañaga; J. Martínez; J.L. Míguez; J. Porteiro. Robust optimization of heat-transfer-enhancing microtextured surfaces based on machine learning surrogate models; INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANFER; 151; 107218; 2024

6. M. Comesaña; J. Martínez; P. Eguía-Oller; J. López-Gómez. Use of optimised LSTM neural networks pre-trained with synthetic data to estimate PV generation. INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, IN PRESS, 2023.

7. X. Rigueira; J. Martínez; M. Araújo; E. Giráldez; A. Recamán. Computer vision application for improved product traceability in the granite manufacturing industry. MATERIALES DE CONSTRUCCIÓN, 73 (351), 2023

8. M. Martínez; X. Rigueira; A. Larrañaga; J. Martínez; I. Ocarranza; D. Kreibel. Impact of AI on assessment methods in primary and secondary education: systematic literature review PSICODIDÁCTICA, 28 (2), 93-103, 2023.

9.  J. Cabrera; A. Larrañaga; s. Pérez; J. Martínez; L. Martínez; C.Daviña; V. Del Campo-Pérez; S. Suárez; B. Regueiro; J. Porteiro. Proof of concept of the potential of a machine learning algorithm to extract new information from conventional SARS-CoV-2 rRT-PCR results SCIENTIFIC REPORTS, 13, 7786, 2023.

10. P. Muñoz-Dueñas; M. Martínez; J. Martínez; G. Bastos-Costas. Estimatin mobility of tourists. New Twitter-based procedure. HELIYON, 9, e13718, 2023.

11.  A. Larrañaga; S.L. Brunton ; J. Martínez; S. Chapela; J. Porteiro. Data-driven prediction of the performance of enhanced surfaces from an extensive CFD-generated parametric search space. Machine Learning Science and Technology, 4, 025012, 2023.

12. J. Martínez; D. Perez-Palau; M. Cilla; N. Garrido; A. Larrañaga; I. Pérez-Rey. Semi-Automatic 3D Reconstruction of Atheroma Plaque fron Intravascular Ultrasound Images Using an ad-hoc Algorithm. MATHEMATICS, 11(3), 537, 2023.

13. P. Muñoz; E. Doñaqie; A. Larrañaga; J. Martínez; A. Mejías. Tourism-Related Placeness Feature Extraction From Social Media Data Using Machine Learning Models. INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, IN PRESS, 2023.

14. J.M. Faílde-Garrido; J. Martínez; Y. Rodríguez-Castro; M.A. García-Rodríguez. Do road offenders constitute a unique clinical and sociodemographic profile? The relationship between crime and road safety. PSYCHOLOGY, CRIME & LAW, 30 (8), 842-862, 2022.

15. X. Rigueira; J. Martínez; M. Araújo.; P.J. García-Nieto, I. Ocarranza. Functional data analysis for the detection of outliers and study of the effects of the COVID-19 pandemic on air quality: A case study in Gijón, Spain. MATHEMATICS, 10 (14), 2374, 2022.

16. M. Alvariñas-Villaverde; J. Martínez; B. Toja-Rebordo; M. González-Valeiro. Prediction model for physical activity level in primary school students. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 19 (5),  2987, 2022.

17. M. Martínez; P. Eguía; J. Martínez; L. Febrero; E. Granada. Optimisation of thermal comfort and indoor air quality estimations applied to in-use buildings combining NSGA-III and XGBoost. SUSTAINABLE CITIES AND SOCIETY, 80, 103723, 2022.

18. J. Martínez; A. Silva;  A. Alesanco; I. Pérez-Rey; J- García. Automatic image characterization of psoriasis lesions.  MATHEMATICS, 9 (22), 2021.

19. A. Rodríguez-Vida; A. Rodríguez-Alonso; E. Useros-Rodríguez; F. López-Campos; O. Amor-Carro; A. Arribas-Ruiz; J. Martínez; J. Roca-Pardiñas; A. Quesada-García; J. R. Muñoz-del-toro; A. Juáez-Soto. Impact of new systematc therapies in overall survival in non-metastasic castration  resistan prostate cancer: systematic review and meta-analysis. CLINICAL GENITOURINARY CANCER, 20 (2), 197-210, 2022.

20. M. Cordeiro; D. Villanueva; A. Feijoó;  J. Martínez. Simulation of simultaneous wind speed data at different locations considering spatial an temporal correlations. APPLIED SCIENCES, 11 (8), 3355, 2021.

21. I.Portela; M. Alvariñas;;  J. Martínez; M.Pino. Influence of the perception of barriers in practice of PA in adolescents: Explanatory model. HEALTHCARE, 9 (4) , 380,  2021.

22. R. Touza;  J. Martínez; M. Álvarez; J. Roca. Obtaining anti-missile decoy launch solution from a ship using machine learning techniques. INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 7, 163-170,  2021.

23. J. Gil;  J. Martínez; R. Martínez. The application of artificial intelligence in project management research: A review.. INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE,  6 (6), 54 - 66 2021.

24. M. Martínez; L. Febrero; E. Granada;  J. Martínez; S. Martínez. Heat Loss Coefficient Estimation Applied to existing buildings through Machine Learning Models. APPLIED SCIENCES, 10(24), 2020.

25. M. Martínez; L. Febrero; F. Troncoso;  J. Martínez. Prediction building´s thermal performance using LSTM and MLP neural networks. APPLIED SCIENCES, 10(21),  2020.

26. Y. Robinson; S. Vimal; E. Golden; M. Khari; J. Martínez. Hybrid optimization routing management for Autonomous Underwater vehicle in the Internet of Underwater Things.  EARTH SCIENCE INFORMATICS, https://doi.org/10.1007/s12145-020-00538-6, 2020.

27. J. Martínez; J. Pastor; J. Sancho; A. McNabola; M. Martínez; J. Gallagher. A Functional Data Analysis Approach for the Detection of Air Pollution Episodes and Outliers: A Case Study in Dublin, Ireland.  MATHEMATICS, 8 (2); 225, 2020.

28. G. Cela; M. Campo; J. Martínez; R. Carreño; R. Bellas; R. Touza; A. Dena. Optimum Configuration of the Secondary Artillery of the F-110 Spanish Frigates.  JOURNAL OF SHIP PRODUCTION AND DESIGN, August 1, 2020.

29. R. Bellas; J. Martínez; I. Rivera; R. Touza; M. Gómez; R. Carreño. Analysis of Naval Ship Evacuation using Stochastic Simulation Models and Experimental Data Sets.  COMPUTER MODELLING IN ENGINEERING AND SCIENCES, 1 , 1-25, 2020.

30. C. Iglesias; M. Antunes; T. Alburquerque; J. Martínez; J. Taboada. Predicting ore content throughout a machine learning procedure - an Sn-W enrichment case study.  JOURNAL OF GEOCHEMICAL EXPLORATION, 208, 106405 , 2020.

31. G. González-Cela; R. Bellas; R. Carreño; J. Martínez; R. Touza; A. González-Gil; M. Gómez; D. González. A framework for integrating human factors in the early stages of ship design: Application to the mess halls of a surface combatant. JOURNAL OF SHIP PRODUCTION AND DESIGN , 36 (1), 1-13,  2020.

32. C. Iglesias; L. Luo; J. Martínez; D. Kelly, J. Taboada; I. Pérez. Obtaining sGAG distribution profile in articular cartilage color images. BIOMEDICAL ENGINEERING /  BIOMEDIZINISCHE TECHNIK,  64(5), 591-600 , 2019.

33. J. Martínez; C. Iglesias; P.J. García-Nieto. Review: Machine Learning Techniques Applied to cybersecurity. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 1, 1-14 , 2019.

34. R. Maceiras; V. Alfonsin; J. Martínez; C. Vara de Rey. Remediation of diesel-contaminated soil by ultrasonic solvent extraction. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH, 12 (5), 651-659, 2018.

35. M. Cilla; I. Pérez-Rey; M.A. Martínez; E. Peña; J. Martínez; On the use of Machine Learning Techniques for the Mechanical Characterization of Soft Biological Tissues. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, e3121, 1-12 , 2018.

36. C. Iglesias; J. Martínez; J. Taboada. Automated vision system for quality inspection of slate slabs. COMPUTERS IN INDUSTRY, 99, 119-129 , 2018.

37. G. González-Cela; R. Bellas; J. Martínez; R. Touza; R. Carreño. Optimal Design of Spanish Navy F-110 Frigates Combat Information Center. NAVAL ENGINEERS JOURNAL,130(1), 121-132 , 2018.

38. T. Rivas; J.S. Pozo-Santiago; D. Barral; J. Martínez; C. Cardell. Statistical Analysis of Colour Changes in Tempera Paints mock-ups exposed to urban and marine environment. MEASUREMENT, 118, 298-310, 2018.

39. M. Cilla; E. Borgiani; J. Martínez; G. N. Duda; S. Checa Machine Learning techniques for the optimization of joint replacements:Application to a short-stem hip implants. PLOS ONE, 12(9):e0183755, 2017.

40. L.R. Alejano; J. Muralha; R. Ulusay; Ch. Li, I. Pérez Rey; H. Karakul; P. Chryssanthakis; O. Aydan; J. Martínez. A benchmark experiment to assess factors affecting tilt test results for sawcut rock surfaces. ROCK MECHANICS AND ROCK ENGINEERING, 50, 2547-2562, 2017.

41. C. Iglesias; A. Santos; J. Martínez; H. Pereira; O. Anjos. Influence of Heartwood on Wood Density and Pulp Properties Explained by Machine Learning Techniques. FORESTS, 2 (20), 1-10, 2017.

42. E. García-Gonzalo; A. Santos; J. Martínez; H. Pereira; R. Simoes; P. García-Nieto; O. Anjos. Prediction of five softwood paper properties from its density using Spport Vector Machine Regression Techniques. BIORESOURCES, 11 (1), 1892-1904, 2016.

43. J. Sancho; C. Iglesias; J. Piñeiro; J. Martínez; J.J. Pastor; M. Araújo; J. Taboada. Study of water quality in a spanish river based on statistical process control and functional data analysis. MATHEMATICAL GEOSCIENCES, 48 (2), 163-186, 2016.

44. C. Iglesias; J. Sancho; J.I. Piñeiro; J. Martínez; J. Pastor; J. Taboada. Schewart-type control charts and functional data analysis for water quality analysis based on a global indicator. DESALINATION AND WATER TREATMENT, 57 (6), 2669-2684 2016.

45. O.Anjos; E. García-Gonzalo; A. Santos; R. Simoes; J. Martínez; H. Pereira; P. García-Nieto. Using apparent density of paper from hardwood kraft to predict sheet properties, based on unsupervised classification and multivariable regression techniques. BIORESOURCES, 10 (3), 5920-5931, 2015.

46. A. García; O. Anjos; C. Iglesias; H. Pereira; J. Martínez; J. Taboada. Prediction of a mechanical strength of cork under compression using machine learning techniques. MATERIALS AND DESIGN, 85, pp 304-311 2015.

47. C. Iglesias; O. Anjos; J. Martínez; H. Pereira; J. Taboada. Prediction of tension properties of cork from its physical properties using neural networks. EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS, 73 (3), pp 347-356, 2015.

48. O. Anjos; C. Iglesias; F. Peres; J. Martínez; A. García; J. Taboada. Neural Networks Applied to Discriminate Botanical Origin of Honeys. FOOD CHEMISTRY, 175, pp. 128-136. 2015

49. J.I. Piñeiro; J. Martínez; P.J. García Nieto; J.R. Alonso; C. Díaz; J. Taboada. Analysis and detection of functional outliers in water quality parameters from different automated monitoring stations in the Nalón River Basin (Northern Spain). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 22 (1), pp. 387-396. 2015.

50. J. Martínez; A. Saavedra; P.J. García-Nieto; J.I. Piñeiro; C. Iglesias, J. Taboada; J. Sancho; J. Pastor. Air Quality Parameters Outliers Detection using Functional Data Analysis in the Langreo Urban Area (Northern Spain). APPLIED MATHEMATICS AND COMPUTATION, 241, pp. 1-10, 2014

51. J.I. Piñeiro; J. Martínez; I. Pozo; C. Iglesias; L. Cuesta; J. Taboada; P. Gajino; E. Tresaco. Development of an application for quick comparison of pigments from their colorimetric coordinates. DYNA, 81 (184), pp. 49-54. 2014.

52. J. Martínez; C. Iglesias; J. M. Matías; J. Taboada; M. Araújo. Solving the slate tile classification problem using a DAGSVM multiclassification algorithm based on SVM binary classifiers with a one-versus-all approach. APPLIED MATHEMATICS AND COMPUTATION, 230, pp. 464-472. 2014.

53. C. Iglesias; J. Martínez; P.J. García; J. R. Alonso; C. Díaz; J.I. Piñeiro; J. Taboada. Turbidity prediction in a river basin by using artificial neural networks: a case study in northern Spain. WATER RESOURCES MANAGEMENT, 28, pp.319-331. 2014.

54. J. Sancho; J. Martínez; J.J. Pastor; J. Taboada; J.I. Piñeiro; P.J. García Nieto. New methodology to determine air quality in urban areas based on runs rules for functional data. ATMOSPHERIC ENVIRONMENT, 86, pp. 185-192. 2014 

55. N. Garijo; J. Martínez; J.M. García-Aznar; M.A. Pérez. Computational evaluation of different numerical tools for the prediction of proximal femur loads from bone morphology. COMPUTER METHODS APPLIED TO MECHANICAL ENGINEERING, 268, pp. 437-450. 2014. 

56. J.I. Piñeiro; J. Martínez; P.J. García; J.R. Alonso; C. Díaz; J. Taboada. Analysis and detection of outliers in water quality parameters from different automated monitoring stations in the Miño river basin (NW Spain). ECOLOGICAL ENGINEERING, 60, pp. 60-66. 2013.

57. J.R. Alonso; P.J. García; J Martínez; C. Díaz. Analysis of cyanotoxins presence from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain) using support vector regression. INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION, 14(2), pp. 103-112. 2013.

58. C Ordóñez; R. Argüelles; J Martínez; S. García-Cortés. A mathematical algorithm for dimensional control of tunnels using topographic profiles. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS. 90 (10), pp. 2072-2078. 2013

59. J. Martínez; M Lopez; J. Matías; J. Taboada. Classifying Slate Quality using Automated Learning Techniques. MATHEMATICAL AND COMPUTER MODELLING. 57 (7-8), pp. 1716-1721. 2013

60. C. Ordóñez; J. Martínez; J.F. De Cos; F. Sánchez. Comparison of GPS observations made in a forestry setting using functional data analysis. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS. 89 - 3, pp. 402 - 408. 2012.

61. C. Díaz; P.J. García; J.R. Alonso; J. Martínez; J. Taboada. Detection of Outliers in Water Quality Monitoring Samples Using Functional Data Analysis in San Esteban Estuary (Northern Spain). SCIENCE OF THE TOTAL ENVIRONMENT. 439, pp. 54 - 61. 2012.

62. M. Cilla; J Martínez; E. Peña; M.A. Martínez. Machine Learning Techniques as a Helpful Tool toward Determination of Plaque Vulnerability. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING.59 - 4,pp. 1155 - 1161.2012.

63. C. Iglesias; J. Martínez; J. Taboada. Metodología de Detección de Microsismología en el Hueco de una Corta Minera Rellena de Agua. DYNA-COLOMBIA . 79 - 175, pp. 81 - 89. 2012.

64. P.J. García; J. Martínez; A. Araújo; G. Ordóñez. Support Vector Machines and Neural Networks used to Evaluate Paper Manufactured using Eucalyptus Globulus. APPLIED MATHEMATICAL MODELLING. 36-12, pp. 6137 - 6145. 2012. 

65. P.J. García; J. Martínez; F.J. De Cos; F. Sánchez. Using Multivariate Adaptive Regression Splines and Multilayer Perceptron Networks to Evaluate Paper Manufactured Using Eucalyptus Globulus. APPLIED MATHEMATICS AND COMPUTATION. 219, pp. 755 - 763.2012

66. C. Ordóñez Galán; J. R. Rodríguez-Pérez; J. Martínez Torres; P. J. García Nieto. Analysis of the influence of forest environments on the accuracy of GPS measurements by using genetic algorithms. MATHEMATICAL AND COMPUTER MODELLING. 54 - 7-8 , pp. 1829 - 1834. 2011.

67. J Martínez; P García; L Alejano; A Reyes. Detection of outliers in gas emissions from urban areas using functional data analysis. JOURNAL OF HAZARDOUS MATERIALS. 186, pp. 144 - 149. 2011.

68. J Martínez; C Ordóñez; J Matías; J Taboada. Determining Noise in an Aggregates Plant Using Functional Statistics. HUMAN AND ECOLOGICAL RISK ASSESSMENT. 17, pp. 521 - 533. 2011.

69. C Ordóñez; J Martínez; J De Cos; F Sánchez. Determining Vine Leaf Water Stress by Functional Data Analysis. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS. 1, pp. 1 - 8. 2011. 

70. Fj De Cos; P García; J Martínez; J Taboada. Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model. MATHEMATICAL AND COMPUTER MODELLING. 52 - 7-8 , pp. 1177 - 1184. 2010.

71. M López; J Martínez; J Matías; J Vilán; J Taboada. Application of a Hybrid 3D-2D Laser Scanning System to the Characterization of Slate Slabs. SENSORS. 10, pp. 5949 - 5961. 2010.

72. C Ordóñez; J Martínez; J Rodríguez-Pérez; A Reyes. Detection of outliers in GPS measurements using functional data analysis. JOURNAL OF SURVEYING ENGINEERING-ASCE. 137 - 4, pp. 150 - 156. 2010.

73. M López; J Martinez; J Matías; J Vilán; J Taboada. Functional classification of ornamental stone images using machine learning techniques. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS. 234 - 4, pp. 1338 - 1345. 2010.

74. C Ordoñez; J Martínez; J Matías; A Reyes; J Rodríguez. Functional statistical techniques applied to vine leaf water content determination. MATHEMATICAL AND COMPUTER MODELLING. 52 - 7-8 , pp. 1116 - 1122. 2010.

75. M Araújo; J Martínez; C Ordóñez; J Vilán. Identification of Granite Varieties from Colour Spectrum Data. SENSORS. 10, pp. 8572 - 8584. 2010.

76. C Ordóñez; J Martínez; A Saavedra; A Mourelle. Intercomparison Exercise for Gases Emitted by a Cement Industry in Spain: a Functional Data Approach. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. 61, pp. 135 - 141. 2010.

77. M López; J Martínez; J Matías; J Taboada; J Vilán. Shape functional optimization with restrictions boosted with machine learning techniques. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS. 234 - 8, pp. 2609 - 2615. 2010.

OTHER PUBLICATIONS

1. Juan F. Castro Cal Javier Martínez-Torres. LA INTELIGENCIA ARTIFICIAL EN LA GESTIÓN DEL PATRIMONIO. Revista RuiDera (UCLM), 23, 2024.

2. Alejandro Sal-de-Rellán, Javier Raya-González, Javier Martínez-Torres, Ariadna Hernaiz-Sánchez. MODELO PREDICTIVO DE LAS VARIABLES DE ÉXITO EN LA FIFA WORLD CUP : PREDICTIVE MODELLING OF THE SUCCESS VARIABLES IN THE FIFA WORLD CUP. Revista Internacional de Medicina y Ciencias de la Actividad Física y el Deporte, IN PRESS, 2023.

3. E. Said; M.A. Merino and J.Martínez. Evolución del debate académico en la Web of Science y Scopus sobre unfaking news (2014-2019). ESTUDIOS SOBRE EL MENSAJE PERIODÍSTICO, 27 (3), 2021.

4. J.Martínez; I. Pérez -Rey and M. Cilla. What are the possibilities of machine learning techniques on the mechanical characterization of biological tissues?. INTERNATIONAL JOURNAL OF BIOSENSORS & BIOELECTRONICS, 6 (1), 1-2, 2020.

5. R. Carreño, J.Martínez and J. Benito. An Approach for Integrating Uncertainly when Selecting an Anti-Torpedo Decoy in Brand New Warship. MATHEMATICAL AND COMPUTATIONAL APPLICATIONS, 24 (1), 5-12, 2019.

6. J. Sancho, J.J. Pastor, J.Martínez and M.A. García. Variability analyysis by Statistical Control Process and functional Data Analysis. Case of study applied to power system harmonics assesment. KEY ENGINEERING MATERIALS. 615, 118-123. 2014.

7. J. Sancho, J.J. Pastor, J.Martínez and M.A. García. Evaluation of harmonic variability in electrical power systems trough statistical control of quality and functional data analysis. PROCEDIA ENGINEERING. 63, 295-302. 2013.

WORKING PAPERS

1. Analysis of Naval Ship Evacuation using Stochastic Simulation Models and Experimental data Sets

2. Optimum Configuration of the secondary artillery of the new F-110 spanish frigates

3. Assessment of machine learning techniques for predicting Sn-W mineralizations at central Portugal.