Embedded Files
2025
AI in Pediatric Urology: Deep Learning-based Approach supporting Posterior Urethral Valves Diagnosis on VCUG Imaging. C. Russo, G. Settembre, G. Gargano, M.S. de Biase, R. De Fazio (2025). Proceedings of International Conference on Image Analysis and Processing - ICIAP 2025 Workshops. Lecture Notes in Computer Science. Rome, Italy 15-19 September 2025. [Accepted]
Uncovering Lung Lesion Patterns in CT Scans through Topological Machine Learning. S.G. De Benedictis, N. Del Buono (2025). Proceedings of International Conference on Image Analysis and Processing - ICIAP 2025 Workshops. Lecture Notes in Computer Science. Rome, Italy 15-19 September 2025. [Accepted]
AI-Driven Insights into Microbial Biomarkers for Colorectal Cancer Progression. G. Gargano, G. Settembre, N. Del Buono (2025). Proceedings of Internatiocal Conference on Knowledge Based and Intelligent information and Engineering Systems - KES 2025. Procedia Computer Science. Osaka, Japan 10-12 September 2025. [Accepted]
Superpixel-based plastic litter detection in UAV hyperspectral imaging using spectral-textural features. G. Settembre, G. Gargano, N. Del Buono (2025). Proceedings of Internatiocal Conference on Knowledge Based and Intelligent information and Engineering Systems - KES 2025. Procedia Computer Science. Osaka, Japan 10-12 September 2025. [Accepted]
Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods. G. Settembre, F. Esposito, N. Del Buono (2025). Advanced Modeling and Simulation in Engineering Sciences, vol XX, pp. XXX-XXX. doi: 10.1186/s40323-025-00313-6.
Assess Optimal Penalty Hyperparameters in Nonnegative Matrix Factorization Within Hilbert Spaces Perspective. L. Selicato, F. Esposito (2025). Mediterranean Journal of Mathematics 22 (5), pp. 1-20. doi: 10.1007/s00009-025-02875-6.
Riemannian Optimization on the Oblique Manifold for Sparse Simplex Constraints via Multiplicative Updates. F. Esposito, A. Ang (2025). ArXiv, doi: 10.48550/arXiv.2503.24075
Semi-Rigid Orthogonal Sparse KL-NMTF to identify Differentially Expressed Genes in RNA-Seq Data, G. Gargano, F. Esposito, N. Del Buono, [Submitted, under review in BMC Bioinformatics].
Sparse Hyperparametric Itakura-Saito NMF via Bi-Level Optimization. L. Selicato, F. Esposito, A. Ang, N. Del Buono, R. Zdunek (2025). ArXiv, doi: 10.48550/arXiv.2502.17123.
Penalizing Low-Rank Matrix Factorization: From theoretical connections to practical applications. N. Del Buono, F. Esposito, L. Selicato (2025). Journal of Computational Mathematics and Data Science, Elsevier, vol. 14. doi:10.1016/j.jcmds.2025.100111.
2024
Topological data analysis for resilience assessment of water distribution networks. L. Selicato, A. Pagano, F. Esposito, M. Icardi (2024). Mathematics and Computers in Simulation, Elsevier, vol 231, pp. 62-70. doi: 10.1016/j.matcom.2024.12.001.
A land cover change framework analyzing wildfire-affected areas in bitemporal PRISMA hyperspectral images. G. Settembre, N. Taggio, N. Del Buono, F. Esposito, P. Di Lauro, A. Aiello (2024). Mathematics and Computers in Simulation, Elsevier, vol. 229, pp.855-866. doi: 10.1016/j.matcom.2024.10.034.
Novel color space representation extracted by NMF to segment a color image, C. Castiello, N. Del Buono and F. Esposito (2024). Journal of Computational Mathematics and Data Science, Elsevier, vol. 13, pp. 100104. doi: 10.1016/j.jcmds.2024.100104.
Penalty hyperparameter optimization with diversity measure for nonnegative low-rank approximation. N. Del Buono, F. Esposito, L. Selicato, and R. Zdunek (2024). Applied Numerical Mathematics, Elsevier, vol. 208, Part A, pp. 189-204 doi: 10.1016/j.apnum.2024.10.002.
Enhanced MRI Brain Tumor Detection and Classification via Topological Data Analysis and Low-Rank Tensor Decomposition. S.G. De Benedictis, G. Gargano, G. Settembre (2024). Journal of Computational Mathematics and Data Science, Elsevier, vol. 13, p.100103. doi: 10.1016/j.jcmds.2024.100103.
Low-rank hierarchical clustering of PRISMA hyperspectral images to identify burned areas. Settembre G., Taggio N., Del Buono N., Aiello A., and Esposito F. (2024) Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023, Communications in Computer and Information Science, Springer Nature, vol. 2135, pp. 412–423. doi: 10.1007/978-3-031-74633-8_30.
Deep NMF and Autoencoder: A Comparative Analysis for Hyperspectral Unmixing Using PRISMA Real Images. Settembre G., Del Buono N. , Esposito F., Taggio N. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 3708-3712. doi: 10.1109/IGARSS53475.2024.10642930.
Accelerated SVD-based initialization for nonnegative matrix factorization. Esposito F., Atif S.M. and Gillis N. (2024) Computational and Applied Mathematics. 43, 392. doi: 10.1007/s40314-024-02905-1.
A targeted gene signature stratifying mediastinal gray zone lymphoma into classical HL-like or PMBL-like subtypes. Gargano G., [...], Esposito F., [...], Selicato L., [...], Del Buono N., [...]. Haematologica, Vol. 109 No. 11 (2024), pp. 3771-3775. doi: 10.3324/haematol.2024.285266.
Exploring the impacts of human breast milk functional lipidome on infant health and growth outcomes in early life using lipid bioinformatics. Ganeshalingam M., [...], Esposito F., [...]. (2024) bioRxiv. doi: 10.1101/2024.07.25.605136.
Chordal-NMF with Riemannian Multiplicative Update. Esposito F., Andersen Ang (2024) ArXiv Preprint. doi: 10.48550/arXiv.2405.12823.
Review of Patient Gene Profiles Obtained through a Non-Negative Matrix Factorization-Based Framework to Determine the Role Inflammation Plays in Neuroblastoma Pathogenesis. Boccarelli A., Del Buono N., Esposito F. (2024) International J. of Molecular Sciences. 25(8): 4406. doi: 10.3390/ijms25084406.
2023
Reversal of MYB-dependent suppression of MAFB expression overrides leukaemia phenotype in MLL-rearranged AML. Negri A., Ward C. [...], Gargano G., [...]. (2023) Cell Death & Disease 14, 763. doi: 10.1038/s41419-023-06276-z.
Theoretical Aspects in Penalty Hyperparameters Optimization. Esposito F., Selicato L., Sportelli C. (2023) Mediterranean Journal of Mathematics 20 (6), 300. doi: 10.1007/s00009-023-02497-w.
A 16-gene signature reflecting tumor microenvironment predicts the risk of multiple myeloma patients treated by bortezomib-based therapies. Gargano G., [...], Del Buono N., Esposito F. (2023) Clinical Lymphoma, Myeloma and Leukemia 23: S251-S252. doi: 10.1016/S2152-2650(23)02001-3.
Improving Color Image Binary Segmentation Using Nonnegative Matrix Factorization, Castiello C., Del Buono N., Esposito F., (2023) vol 14108 Lecture Notes in Computer Science series. In: Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14108. doi:10.1007/978-3-031-37117-2_42.
Bi-level algorithm for optimizing hyperparameters in penalized nonnegative matrix factorization. Del Buono N., Esposito F., Selicato L., R. Zdunek, (2023) Applied Mathematics and Computation, Volume 457, 15 November 2023, 128184. doi: 10.1016/j.amc.2023.128184
Effect of preoperative music therapy versus intravenous midazolam on anxiety, sedation and stress in stomatology surgery: a randomized controlled study. Giordano F., [...], Selicato L., [...]. (2023) Journal of Clinical Medicine. 12(9), 3215. doi: 10.3390/jcm12093215
A Decision-tree Approach to Stratify DLBCL Risk Based on Stromal and Immune Microenvironment Determinants. Zaccaria G.M., [...], Esposito F., Gargano G., et al. In HemaSphere 7.4 (2023): e862. doi: 10.1097/HS9.0000000000000862.
Detecting Anomalies in Marine Data: A Framework for Time Series Analysis. Del Buono N., Esposito F., Gargano G., Selicato L., Taggio N., Ceriola G., and Iasillo D. (2023). In Machine Learning, Optimization, and Data Science. LOD 2022. Lecture Notes in Computer Science, vol 13810, pp. 485–500. Springer, Cham. doi:10.1007/978-3-031-25599-1_36.
Machine Learning Approaches for Predicting Crystal Systems: A Brief Review and a Case Study. Settembre G., Corriero N., Del Buono N., Esposito F., and Rizzi R. (2023). In Machine Learning, Optimization, and Data Science. LOD 2022. Lecture Notes in Computer Science, vol 13810, pp. 93-107. Springer, Cham. doi:10.1007/978-3-031-25599-1_8.
Cluster of resistance-inducing genes in MCF-7 cells by estrogen, insulin, methotrexate and tamoxifen extracted via NMF. Boccarelli A., Del Buono N., and Esposito F. In Pathology, research and practice 242 (2023): 154347. doi:10.1016/j.prp.2023.154347.
CrystalMELA: a new crystallographic machine learning platform for crystal system determination. Corriero N., Rizzi R., Settembre G., Del Buono N., and Diacono D. In Journal of Applied Crystallography (IUCr), vol. 65, no. 2. doi:10.1107/S1600576723000596.
2022
Soil Moisture Sensor Information Enhanced by Statistical Methods in a Reclaimed Water Irrigation Framework. Giorgio A., Del Buono N., Berardi M., Vurro M., Vivaldi G.A. In Sensors 2022, 22(20), 8062. doi:10.3390/s22208062
Role of lipidomics in assessing the functional lipid composition in breast milk. Ganeshalingam M, Enstad S, Sen S, Cheema S, Esposito F and Thomas R (2022) Front. Nutr. 9:899401. doi: 10.3389/fnut.2022.899401
NR1H3 (LXRα) is associated with pro-inflammatory macrophages, predicts survival and suggests potential therapeutic rationales in diffuse large b-cell lymphoma. Vegliante, MC, Mazzara, S, Zaccaria, GM, De Summa, S, Esposito, F,...,Gargano, G, et al. Hematol Oncol. 2022; 1- 12. https://doi.org/10.1002/hon.3050
Colorectal cancer in Crohn's disease evaluated with genes belonging to fibroblasts of the intestinal mucosa selected by NMF. Boccarelli A., Del Buono N., and Esposito F.. Pathology-Research and Practice 229 (2022): 153728. https://www.sciencedirect.com/science/article/pii/S0344033821003897
2021
A New Ensemble Method for Detecting Anomalies in Gene Expression Matrices, Selicato, L.; Esposito, F.; Gargano, G.; Vegliante, M.C.; Opinto, G.; Zaccaria, G.M.; Ciavarella, S.; Guarini, A.; Del Buono, N. Mathematics 2021, 9, 882. https://doi.org/10.3390/math9080882
Anomalies detection in gene expression matrices: Towards a new approach. Del Buono N., Esposito F., Selicato L., Vegliante MC. 12th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2021-Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021. SciTePress, 2021.
Low rank approaches for the analysis of real data from pre to post processing. Esposito F., Selicato L., Del Buono N., PROCEEDINGS OF SIMAI 2020+ 21 (2021).
A Review on Initialization Methods for Nonnegative Matrix Factorization: Towards Omics Data Experiments, Esposito, F. Mathematics 2021, 9, 1006. https://doi.org/10.3390/math9091006
Toward a New Approach for Tuning Regularization Hyperparameter in NMF, Del Buono N., Esposito F., Selicato L. In: Nicosia G. et al. (eds) Machine Learning, Optimization, and Data Science. LOD 2021. Lecture Notes in Computer Science, vol 13163. Springer, Cham. https://doi.org/10.1007/978-3-030-95467-3_36
Electronic case report forms generation from pathology reports by ARGO, automatic record generator for onco-hematology. Zaccaria, G.M., Colella, V., Colucci, S., Clemente F., Pavone F., Vegliante MC, Esposito F. et al. Sci Rep 11, 23823 (2021). https://doi.org/10.1038/s41598-021-03204-z
Analysis of fibroblast genes selected by NMF to reveal the potential crosstalk between ulcerative colitis and colorectal cancer. Boccarelli A, Del Buono N., and Esposito F.. Experimental and Molecular Pathology 123 (2021): 104713.
Nonnegative Matrix Factorization models for knowledge extraction from biomedical and other real world data, F. Esposito, N. Del Buono, and L. Selicato, PAMM 20.1 (2021): e202000032.
2020
Methods for Hyperparameters Optimization in Learning Approaches: an overview, N. Del Buono, F. Esposito and L. Selicato, International Conference on Machine Learning, Optimization, and Data Science LOD2020, LNCS, 2020. https://link.springer.com/chapter/10.1007/978-3-030-64583-0_11
Hybrid projective Nonnegative Matrix Factorization based on $\alpha$-Divergence: Image Feature Extraction and Data Clustering, M.T. Belachew, N. Del Buono, Applied Mathematics and Computation, Vol 369, 15 March 2020, doi :10.1016/j.amc.2019.124825
An NMF-Based Methodology for Selecting Biomarkers in the Landscape of Genes of Heterogeneous Cancer-Associated Fibroblast Populations. F. Esposito, Boccarelli A, N. Del Buono. Bioinformatics and Biology Insights. January 2020. doi:10.1177/1177932220906827
The influence of music therapy on preoperative anxiety in pediatric oncology patients undergoing invasive procedures. F. Giordano; B. Zanchi; C. Rutigliano; F. De Leonardis; F. Esposito; N. Brienza; N. Santoro, The Arts in Psychotherapy, Volume 68, 101649,https://doi.org/10.1016/j.aip.2020.101649 , ISSN: 0197-4556, 2020.
2019
Orthogonal Joint Sparse NMF for Microarray Data Analysis, N. Del Buono, F. Esposito, N. Gillis, Journal of Mathematical Biology, 79: 223. https://doi.org/10.1007/s00285-019-01355-2 ISSN: 0303-6812, 2019
Investigating initialization techniques for Nonnegative Matrix Factorization: a survey and a case of study of microarrays, N. Del Buono e F. Esposito, Series in Applied Sciences: Volume 2. Mathematical Modelling, Numerical and Data Analysis, ISBN 978-88-3369-044-5, 2019.
Nonnegative Matrix Factorizations for Knowledge Extraction from Biomedical and other real world data. F. Esposito, Department of Computer Science, University of Bari Aldo Moro, Italy PhD thesis
2018
On some practical issues related to Nonnegative Matrix Factorization in Microarray Data Analysis context, N. Del Buono and F. Esposito, Series in Applied Sciences: Volume 1. Mathematical Modelling, Numerical and Data Analysis, pag 109-130, ISBN 978-88-3369-044-5 ,doi: 10.17605/OSF.IO/KR2J3 , 2018
Improving knowledge on the activation of bone marrow fibroblasts in MGUS and MM disease through the automatic extraction of genes via a Nonnegative Matrix Factorization approach on gene expression profiles, A. Boccarelli, F. Esposito, N. Del Buono, A. Vacca, M. Coluccia, Journal of Translational Medicine Journal of translational medicine, 16(1):217https://doi.org/10.1186/s12967-018-1589-1 , ISSN: 1479-5876, 2018.
A Framework for Intelligent Twitter Data Analysis with Nonnegative Matrix Factorization, G. Casalino, C. Castiello, N. Del Buono, C. Mencar, International Journal of Web Information Systems, 2018, doi: 10.1108/IJWIS-11-2017-0081 , 2018
Tri-orthogonal NMF for monitoring the upwelling phenomenon using Sentinel-3 products. F. Esposito, K. Karamvasis, V. Karathanassi, N. Del Buono, Technical Report 10/2018, Department of Mathematics, University of Bari.
2017
Intelligent Twitter Data Analysis based on Nonnegative Matrix Factorizations, G. Casalino, C. Castiello, N. Del Buono, C. Mencar, O. Gervasi et al. (Eds.): ICCSA 2017, Part I, LNCS 10404, 2017, DOI: 10.1007/978-3-319-62392-4_14
Q-matrix Extraction from Real Response Data Using Nonnegative Matrix Factorizations, G. Casalino, C. Castiello, N. Del Buono, F. Esposito, C. Mencar, O. Gervasi et al. (Eds.): ICCSA 2017, Part I, LNCS 10404, 2017,DOI: 10.1007/978-3-319-62392-4_15 , ISSN: 0302-9743, 2017
HLA data analysis in patients affected by kidney diseases and comparison with healthy subjects, N. Del Buono, F. Esposito, C. Castiello, M. Margiotta, Rapporto del Dipartimento di Matematica n.6 del 08.06.2017.
2016
Breast cancer’s microarray data: pattern discovery using Nonnegative Matrix Factorizations, N. Del Buono, F. Esposito, F. Fumarola, A. Boccarelli, and M. Coluccia, LCNS, Second International Workshop on Machine learning, Optimization and big Data - MOD 2016 , Editors: G. Giuffrida, G.Nicosia, P.Pardalos, LNCS, 10122, Springer,DOI: 10.1007/978-3-319-51469-7_24 ISSN: 0302-9743, 2016
Page updated
Google Sites
Report abuse