Alicia Fernández

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 22

Top Topics

Anomaly Detection

Top Venues

EuroS&P Workshops

Publications

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) (2024)
Gastón García González, Pedro Casas, Emilio Martínez, Alicia Fernández
Timeless Foundations: Exploring DC-VAEs as Foundation Models for Time Series Analysis. TMA (2024)
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) (2024)
Emiliano Acevedo, Pablo Massaferro, Alicia Fernández, Alexander Martins, Gonzalo Caudullo
Fraud Detection Using Event Logs with LSTM and Gradient Boosting. ISGT (2023)
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)
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)
Gastón García González, Pedro Casas, Alicia Fernández
Deep Generative Replay for Multivariate Time-Series Monitoring with Variational Autoencoders. TMA (2023)
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)
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) (2022)
Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
Steps towards continual learning in multivariate time-series anomaly detection using variational autoencoders. IMC (2022)
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)
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) (2021)
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) (2021)
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)
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)
Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series. CoRR (2020)
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) (2020)
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)
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)
Luis D. Di Martino, Javier Preciozzi, Federico Lecumberry, Alicia Fernández
Face matching with an a contrario false detection control. Neurocomputing 173 (2016)
Marcelo Fiori, Matías Di Martino, Alicia Fernández
An optimal multiclass classifier design. ICPR (2016)
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) (2016)
J. Matías Di Martino, Alicia Fernández, José A. Ferrari
Automatic Eyes and Nose Detection Using Curvature Analysis. CIARP (2015)
Alicia Fernández, Alvaro Gómez, Federico Lecumberry, Alvaro Pardo, Ignacio Ramírez
Pattern Recognition in Latin America in the "Big Data" Era. Pattern Recognit. 48 (4) (2015)
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)
Matías Di Martino, Alicia Fernández, José A. Ferrari
One-Shot 3D-Gradient Method Applied to Face Recognition. CIARP (2015)
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) (2015)
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)
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)
Juan Tacón, Damián Melgarejo, Fernanda Rodríguez, Federico Lecumberry, Alicia Fernández
Semisupervised Approach to Non Technical Losses Detection. CIARP (2014)
Fernanda Rodríguez, Federico Lecumberry, Alicia Fernández
Comparing Different Labeling Strategies in Anomalous Power Consumptions Detection. ICPRAM (Selected Papers) (2014)
Luis D. Di Martino, Javier Preciozzi, Federico Lecumberry, Alicia Fernández
An a-contrario Approach for Face Matching. ICPRAM (2014)
Fernanda Rodríguez, Federico Lecumberry, Alicia Fernández
Non Technical Loses Detection - Experts Labels vs. Inspection Labels in the Learning Stage. ICPRAM (2014)
Matías Di Martino, Alicia Fernández, José A. Ferrari
3D curvature analysis with a novel one-shot technique. ICIP (2014)
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)
Matías Di Martino, Alicia Fernández, Pablo A. Iturralde, Federico Lecumberry
Novel classifier scheme for imbalanced problems. Pattern Recognit. Lett. 34 (10) (2013)
Matías Di Martino, Guzmán Hernández, Marcelo Fiori, Alicia Fernández
A new framework for optimal classifier design CoRR (2013)
Matías Di Martino, Guzmán Hernández, Marcelo Fiori, Alicia Fernández
A new framework for optimal classifier design. Pattern Recognit. 46 (8) (2013)
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 (2012)
Pablo A. Iturralde, Martín Patrone, Federico Lecumberry, Alicia Fernández
Motor Intention Recognition in EEG: In Pursuit of a Relevant Feature Set. CIARP (2012)
Matías Di Martino, Federico Decia, Juan Molinelli, Alicia Fernández
Improving Electric Fraud Detection using Class Imbalance Strategies. ICPRAM (2) (2012)
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) (2007)
Cecilia Aguerrebere, Germán Capdehourat, Mauricio Delbracio, Matías Mateu, Alicia Fernández, Federico Lecumberry
Aguará: An Improved Face Recognition Algorithm through Gabor Filter Adaptation. AutoID (2007)
Gonzalo Vallarino, Gustavo Gianarelli, Jose Barattini, Alvaro Gómez, Alicia Fernández, Alvaro Pardo
Performance Improvement in a Fingerprint Classification System Using Anisotropic Diffusion. CIARP (2004)
Pablo Cancela, Fernando Reyes, Pablo Rodríguez, Gregory Randall, Alicia Fernández
Automatic object detection using shape information in ultrasound images. ICIP (3) (2003)
Alberto Bartesaghi, Alicia Fernández, Alvaro Gómez
Performance Evaluation of an Automatic Fingerprint Classification Algorithm Adapted to a Vucetich Based Classification System. AVBPA (2001)
Manuel Abad, Alicia Fernández, Nelli Meske
Free Boolean Correlations Lattices. Reports Math. Log. 30 (1996)