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ORCIDAlicia Fernández
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2020 – today
- 2024
[j15]Daniel Rábago
, Enrique Fernández, Santiago Celaya, Ismael Fuente, Alicia Fernández, Jorge Quindós, Raúl Rodriguez, Luis Quindós, Carlos Sainz:
Investigation of the Performance of Various Low-Cost Radon Monitors under Variable Environmental Conditions. Sensors 24(6): 1836 (2024)- [j14]Gastón García González, Sergio Martinez Tagliafico, Alicia Fernández, Gabriel Gómez Sena, José Acuña, Pedro Casas:
One Model to Find Them All Deep Learning for Multivariate Time-Series Anomaly Detection in Mobile Network Data. IEEE Trans. Netw. Serv. Manag. 21(2): 1601-1616 (2024) - [c31]Gastón García González, Pedro Casas, Emilio Martínez, Alicia Fernández:
On the Quest for Foundation Generative-AI Models for Anomaly Detection in Time-Series Data. EuroS&P Workshops 2024: 252-260 - [c30]Gastón García González, Pedro Casas, Emilio Martínez, Alicia Fernández:
Timeless Foundations: Exploring DC-VAEs as Foundation Models for Time Series Analysis. TMA 2024: 1-4 - 2023
- [c29]Gastón García González, Pedro Casas, Alicia Fernández:
Fake it till you Detect it: Continual Anomaly Detection in Multivariate Time-Series using Generative AI. EuroS&P Workshops 2023: 558-566 - [c28]Emiliano Acevedo, Pablo Massaferro, Alicia Fernández, Alexander Martins, Gonzalo Caudullo:
Fraud Detection Using Event Logs with LSTM and Gradient Boosting. ISGT 2023: 1-5 - [c27]Camilo Mariño, Guillermo Cossio, Pablo Massaferro, Matías Di Martino, Alvaro Gómez, Alicia Fernández:
NILMEV: Electric Vehicle disaggregation for residential customer energy efficiency incentives. ISGT 2023: 1-5 - [c26]Gastón García González, Pedro Casas, Alicia Fernández:
Deep Generative Replay for Multivariate Time-Series Monitoring with Variational Autoencoders. TMA 2023: 1-4 - [d1]Gastón García González, Sergio Martinez Tagliafico, Alicia Fernández, Gabriel Gómez, José Acuña, Pedro Casas:
TELCO. IEEE DataPort, 2023
- 2022
- [j13]Pablo Massaferro, J. Matías Di Martino, Alicia Fernández:
Fraud Detection on Power Grids While Transitioning to Smart Meters by Leveraging Multi-Resolution Consumption Data. IEEE Trans. Smart Grid 13(3): 2381-2389 (2022) - [c25]Gastón García González, Sergio Martinez Tagliafico, Alicia Fernández, Gabriel Gómez, José Acuña, Pedro Casas:
DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders. EuroS&P Workshops 2022: 287-293 - [c24]Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez:
Steps towards continual learning in multivariate time-series anomaly detection using variational autoencoders. IMC 2022: 774-775 - 2021
- [j12]Alvaro Gómez, Pablo Massaferro, Camilo Mariño, Ignacio Irigaray, German Fierro, Andrés Cardozo, Alicia Fernández:
Household Appliances Identification: Hands-On Integrative Workshop and Its Adaptation to a Social Distancing Context. Rev. Iberoam. de Tecnol. del Aprendiz. 16(3): 294-306 (2021) - [j11]Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez:
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series. SIGMETRICS Perform. Evaluation Rev. 48(4): 49-52 (2021) - [c23]Pablo Massaferro, J. Matías Di Martino, Alicia Fernández:
NTL Detection: Overview of Classic and DNN-based Approaches on a Labeled Dataset of 311k Customers. ISGT 2021: 1-5 - 2020
- [j10]Javier Preciozzi, Guillermo Garella, Vanina Camacho, Francesco Franzoni, Luis D. Di Martino, Guillermo Carbajal, Alicia Fernández:
Fingerprint Biometrics From Newborn to Adult: A Study From a National Identity Database System. IEEE Trans. Biom. Behav. Identity Sci. 2(1): 68-79 (2020) - [c22]Luis D. Di Martino, Javier Preciozzi, Rafael Grompone von Gioi, Guillermo Garella, Alicia Fernández, Federico Lecumberry:
An a-contrario Biometric Fusion Approach. CVPR Workshops 2020: 3585-3593 - [c21]Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez:
Network anomaly detection with net-GAN, a generative adversarial network for analysis of multivariate time-series. SIGCOMM Posters and Demos 2020: 62-64 - [i2]Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez:
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series. CoRR abs/2010.08286 (2020)
2010 – 2019
- 2017
- [c20]Vanina Camacho, Guillermo Garella, Francesco Franzoni, Luis D. Di Martino, Guillermo Carbajal, Javier Preciozzi, Alicia Fernández:
Recognizing Infants and Toddlers over an On-Production Fingerprint Database. BIOSIG 2017: 95-103 - 2016
- [j9]Martín Bertrán, Natalia Martínez, Guillermo Carbajal, Alicia Fernández, Álvaro Gómez:
An open tool for input function estimation and quantification of dynamic PET FDG brain scans. Int. J. Comput. Assist. Radiol. Surg. 11(8): 1419-1430 (2016) - [j8]Luis D. Di Martino, Javier Preciozzi, Federico Lecumberry, Alicia Fernández:
Face matching with an a contrario false detection control. Neurocomputing 173: 64-71 (2016) - [c19]Luis D. Di Martino, Alicia Fernández, Rafael Grompone von Gioi, Federico Lecumberry, Javier Preciozzi:
A Statistical Approach to Reliability Estimation for Fingerprint Recognition. BIOSIG 2016: 183-194 - [c18]Marcelo Fiori, Matías Di Martino, Alicia Fernández:
An optimal multiclass classifier design. ICPR 2016: 480-485 - 2015
- [j7]Jose Nunes, Martín Piquerez, Leonardo Pujadas, Eileen Armstrong, Alicia Fernández, Federico Lecumberry:
Beef quality parameters estimation using ultrasound and color images. BMC Bioinform. 16(S-4): S6 (2015) - [j6]Alicia Fernández, Alvaro Gómez, Federico Lecumberry, Alvaro Pardo, Ignacio Ramírez:
Pattern Recognition in Latin America in the "Big Data" Era. Pattern Recognit. 48(4): 1185-1196 (2015) - [c17]María Inés Fariello, Eileen Amstrong, Alicia Fernández:
Genetic Prediction in Bovine Meat Production: Is Worth Integrating Bayesian and Machine Learning Approaches? a Comprenhensive Analysis. CIARP 2015: 11-18 - [c16]Fernanda Rodríguez, Matías Di Martino, Juan Pablo Kosut, Fernando Santomauro, Federico Lecumberry, Alicia Fernández:
Optimal and Linear F-Measure Classifiers Applied to Non-technical Losses Detection. CIARP 2015: 83-91 - [c15]Matías Di Martino, Alicia Fernández, José A. Ferrari:
One-Shot 3D-Gradient Method Applied to Face Recognition. CIARP 2015: 176-183 - [c14]J. Matías Di Martino, Alicia Fernández, José A. Ferrari:
Automatic Eyes and Nose Detection Using Curvature Analysis. CIARP 2015: 271-278 - 2014
- [c13]Matías Tailanián, Federico Lecumberry, Alicia Fernández, Giovanni Gnemmi, Ana Meikle, Isabel Pereira, Gregory Randall:
Dairy Cattle Sub-clinical Uterine Disease Diagnosis Using Pattern Recognition and Image Processing Techniques. CIARP 2014: 690-697 - [c12]Juan Tacón, Damián Melgarejo, Fernanda Rodríguez, Federico Lecumberry, Alicia Fernández:
Semisupervised Approach to Non Technical Losses Detection. CIARP 2014: 698-705 - [c11]Gabriel Lema, Luis D. Di Martino, Sebastian Berchesi, Alicia Fernández, Federico Lecumberry, Javier Preciozzi:
Evaluation of a face recognition system performance's variation on a citizen passports database. CLEI 2014: 1-6 - [c10]Matías Di Martino, Alicia Fernández, José A. Ferrari:
3D curvature analysis with a novel one-shot technique. ICIP 2014: 3818-3822 - [c9]Fernanda Rodríguez, Federico Lecumberry, Alicia Fernández:
Comparing Different Labeling Strategies in Anomalous Power Consumptions Detection. ICPRAM (Selected Papers) 2014: 196-205 - [c8]Luis D. Di Martino, Javier Preciozzi, Federico Lecumberry, Alicia Fernández:
An a-contrario Approach for Face Matching. ICPRAM 2014: 377-384 - [c7]Fernanda Rodríguez, Federico Lecumberry, Alicia Fernández:
Non Technical Loses Detection - Experts Labels vs. Inspection Labels in the Learning Stage. ICPRAM 2014: 624-628 - 2013
- [j5]Matías Di Martino, Guzmán Hernández, Marcelo Fiori, Alicia Fernández:
A new framework for optimal classifier design. Pattern Recognit. 46(8): 2249-2255 (2013) - [j4]Matías Di Martino, Alicia Fernández, Pablo A. Iturralde, Federico Lecumberry:
Novel classifier scheme for imbalanced problems. Pattern Recognit. Lett. 34(10): 1146-1151 (2013) - [i1]Matías Di Martino, Guzmán Hernández, Marcelo Fiori, Alicia Fernández:
A new framework for optimal classifier design. CoRR abs/1305.1396 (2013) - 2012
- [j3]Daniel S. Reuland, Linda Ko, Alicia Fernández, Laura C. Braswell, Michael Pignone:
Testing a Spanish-language colorectal cancer screening decision aid in Latinos with limited English proficiency: Results from a pre-post trial and four month follow-up survey. BMC Medical Informatics Decis. Mak. 12: 53 (2012) - [c6]Pablo A. Iturralde, Martín Patrone, Federico Lecumberry, Alicia Fernández:
Motor Intention Recognition in EEG: In Pursuit of a Relevant Feature Set. CIARP 2012: 551-558 - [c5]Matías Di Martino, Federico Decia, Juan Molinelli, Alicia Fernández:
Improving Electric Fraud Detection using Class Imbalance Strategies. ICPRAM (2) 2012: 135-141
2000 – 2009
- 2007
- [j2]Pablo Arias, Alejandro Pini, Gonzalo R. Sanguinetti, Pablo Sprechmann, Pablo Cancela, Alicia Fernández, Alvaro Gómez, Gregory Randall:
Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation. IEEE Trans. Image Process. 16(6): 1637-1645 (2007) - [c4]Cecilia Aguerrebere, Germán Capdehourat, Mauricio Delbracio, Matías Mateu, Alicia Fernández, Federico Lecumberry:
Aguará: An Improved Face Recognition Algorithm through Gabor Filter Adaptation. AutoID 2007: 74-79 - 2004
- [c3]Gonzalo Vallarino, Gustavo Gianarelli, Jose Barattini, Alvaro Gómez, Alicia Fernández, Alvaro Pardo:
Performance Improvement in a Fingerprint Classification System Using Anisotropic Diffusion. CIARP 2004: 582-588 - 2003
- [c2]Pablo Cancela, Fernando Reyes, Pablo Rodríguez, Gregory Randall, Alicia Fernández:
Automatic object detection using shape information in ultrasound images. ICIP (3) 2003: 417-420 - 2001
- [c1]Alberto Bartesaghi, Alicia Fernández, Alvaro Gómez:
Performance Evaluation of an Automatic Fingerprint Classification Algorithm Adapted to a Vucetich Based Classification System. AVBPA 2001: 259-265
1990 – 1999
- 1996
- [j1]Manuel Abad, Alicia Fernández, Nelli Meske:
Free Boolean Correlations Lattices. Reports Math. Log. 30: 2-11 (1996)
Coauthor Index
aka: J. Matías Di Martino
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last updated on 2024-09-07 02:03 CEST by the dblp team
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