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Alicia Fernández
Alicia Fernández
Full Proffesor, Instituto Ing. Eléctrica, Facultad de Ingeniería, UdelaR
Verified email at fing.edu.uy - Homepage
Title
Cited by
Cited by
Year
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
1012012
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
642019
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
532015
Novel classifier scheme for imbalanced problems
M Di Martino, A Fernández, P Iturralde, F Lecumberry
Pattern Recognition Letters 34 (10), 1146-1151, 2013
482013
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
312015
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
302020
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
302007
A new framework for optimal classifier design
M Di Martino, G Hernández, M Fiori, A Fernández
Pattern Recognition 46 (8), 2249-2255, 2013
292013
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
192021
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
182003
Differential 3D shape retrieval
JM Di Martino, A Fernández, GA Ayubi, JA Ferrari
Optics and Lasers in Engineering 58, 114-118, 2014
162014
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
152022
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
152013
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
142007
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
132018
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
132014
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
112015
One-shot 3D gradient field scanning
JM Di Martino, A Fernández, JA Ferrari
Optics and Lasers in Engineering 72, 26-38, 2015
102015
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
82022
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
82021
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