| Improving electric fraud detection using class imbalance strategies M Di Martino, F Decia, J Molinelli, A Fernández International Conference on Pattern Recognition Applications and Methods …, 2012 | 107 | 2012 |
| Fraud detection in electric power distribution: An approach that maximizes the economic return P Massaferro, JM Di Martino, A Fernández IEEE Transactions on Power Systems 35 (1), 703-710, 2019 | 71 | 2019 |
| Pattern recognition in Latin America in the “Big Data” era A Fernández, Á Gómez, F Lecumberry, Á Pardo, I Ramírez Pattern Recognition 48 (4), 1185-1196, 2015 | 53 | 2015 |
| Novel classifier scheme for imbalanced problems M Di Martino, A Fernández, P Iturralde, F Lecumberry Pattern Recognition Letters 34 (10), 1146-1151, 2013 | 49 | 2013 |
| Fingerprint biometrics from newborn to adult: A study from a national identity database system J Preciozzi, G Garella, V Camacho, F Franzoni, L Di Martino, G Carbajal, ... IEEE transactions on biometrics, behavior, and identity science 2 (1), 68-79, 2020 | 34 | 2020 |
| Beef quality parameters estimation using ultrasound and color images JL Nunes, M Piquerez, L Pujadas, E Armstrong, A Fernández, ... BMC bioinformatics 16, 1-12, 2015 | 30 | 2015 |
| A new framework for optimal classifier design M Di Martino, G Hernández, M Fiori, A Fernández Pattern Recognition 46 (8), 2249-2255, 2013 | 30 | 2013 |
| Ultrasound image segmentation with shape priors: application to automatic cattle rib-eye area estimation P Arias, A Pini, G Sanguinetti, P Sprechmann, P Cancela, A Fernández, ... IEEE Transactions on Image Processing 16 (6), 1637-1645, 2007 | 30 | 2007 |
| On the usage of generative models for network anomaly detection in multivariate time-series G García González, P Casas, A Fernández, G Gómez ACM SIGMETRICS Performance Evaluation Review 48 (4), 49-52, 2021 | 25 | 2021 |
| Fraud detection on power grids while transitioning to smart meters by leveraging multi-resolution consumption data P Massaferro, JM Di Martino, A Fernández IEEE Transactions on Smart Grid 13 (3), 2381-2389, 2022 | 21 | 2022 |
| Automatic object detection using shape information in ultrasound images P Cancela, F Reyes, P Rodriguez, G Randall, A Fernández Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003 | 18 | 2003 |
| Differential 3D shape retrieval JM Di Martino, A Fernández, GA Ayubi, JA Ferrari Optics and Lasers in Engineering 58, 114-118, 2014 | 16 | 2014 |
| Semisupervised approach to non technical losses detection J Tacón, D Melgarejo, F Rodríguez, F Lecumberry, A Fernández Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2014 | 16 | 2014 |
| Improving electricity non technical losses detection including neighborhood information P Massaferro, H Marichal, M Di Martino, F Santomauro, JP Kosut, ... 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 15 | 2018 |
| A novel framework for nontechnical losses detection in electricity companies M Di Martino, F Decia, J Molinelli, A Fernández Pattern Recognition-Applications and Methods: International Conference …, 2013 | 14 | 2013 |
| Aguara: An improved face recognition algorithm through gabor filter adaptation C Aguerrebere, G Capdehourat, M Delbracio, M Mateu, A Fernández, ... 2007 IEEE Workshop on Automatic Identification Advanced Technologies, 74-79, 2007 | 14 | 2007 |
| Steps towards continual learning in multivariate time-series anomaly detection using variational autoencoders GG González, P Casas, A Fernández, G Gómez Proceedings of the 22nd ACM Internet Measurement Conference, 774-775, 2022 | 10 | 2022 |
| Ntl detection: Overview of classic and dnn-based approaches on a labeled dataset of 311k customers P Massaferro, JM Di Martino, A Fernández 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2021 | 10 | 2021 |
| Abnormal consumption analysis for fraud detection: UTE-UDELAR joint efforts JP Kosut, F Santomauro, A Jorysz, A Fernández, F Lecumberry, ... 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM …, 2015 | 10 | 2015 |
| One-shot 3D gradient field scanning JM Di Martino, A Fernández, JA Ferrari Optics and Lasers in Engineering 72, 26-38, 2015 | 10 | 2015 |
J. Matias Di MartinoProfessor of Computer Science, Universidad Católica del Uruguay, Duke University在 ucu.edu.uy 的电子邮件经过验证
