Alicia Fernández
Orcid: 0000-0003-2905-2210
According to our database1,
Alicia Fernández
authored at least 47 papers
between 1996 and 2024.
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Bibliography
2024
One Model to Find Them All Deep Learning for Multivariate Time-Series Anomaly Detection in Mobile Network Data.
IEEE Trans. Netw. Serv. Manag., April, 2024
Investigation of the Performance of Various Low-Cost Radon Monitors under Variable Environmental Conditions.
Sensors, March, 2024
Timeless Foundations: Exploring DC-VAEs as Foundation Models for Time Series Analysis.
Proceedings of the 8th Network Traffic Measurement and Analysis Conference, 2024
On the Quest for Foundation Generative-AI Models for Anomaly Detection in Time-Series Data.
Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2024
2023
Deep Generative Replay for Multivariate Time-Series Monitoring with Variational Autoencoders.
Proceedings of the 7th Network Traffic Measurement and Analysis Conference, 2023
NILMEV: Electric Vehicle disaggregation for residential customer energy efficiency incentives.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023
Fake it till you Detect it: Continual Anomaly Detection in Multivariate Time-Series using Generative AI.
Proceedings of the IEEE European Symposium on Security and Privacy, 2023
2022
Fraud Detection on Power Grids While Transitioning to Smart Meters by Leveraging Multi-Resolution Consumption Data.
IEEE Trans. Smart Grid, 2022
Steps towards continual learning in multivariate time-series anomaly detection using variational autoencoders.
Proceedings of the 22nd ACM Internet Measurement Conference, 2022
DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders.
Proceedings of the IEEE European Symposium on Security and Privacy, 2022
2021
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series.
SIGMETRICS Perform. Evaluation Rev., 2021
Household Appliances Identification: Hands-On Integrative Workshop and Its Adaptation to a Social Distancing Context.
Rev. Iberoam. de Tecnol. del Aprendiz., 2021
NTL Detection: Overview of Classic and DNN-based Approaches on a Labeled Dataset of 311k Customers.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021
2020
Fingerprint Biometrics From Newborn to Adult: A Study From a National Identity Database System.
IEEE Trans. Biom. Behav. Identity Sci., 2020
Network anomaly detection with net-GAN, a generative adversarial network for analysis of multivariate time-series.
Proceedings of the SIGCOMM '20: ACM SIGCOMM 2020 Conference, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2017
Proceedings of the International Conference of the Biometrics Special Interest Group, 2017
2016
An open tool for input function estimation and quantification of dynamic PET FDG brain scans.
Int. J. Comput. Assist. Radiol. Surg., 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the 2016 International Conference of the Biometrics Special Interest Group, 2016
2015
BMC Bioinform., 2015
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015
Genetic Prediction in Bovine Meat Production: Is Worth Integrating Bayesian and Machine Learning Approaches? a Comprenhensive Analysis.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015
2014
Proceedings of the Pattern Recognition Applications and Methods, 2014
Non Technical Loses Detection - Experts Labels vs. Inspection Labels in the Learning Stage.
Proceedings of the ICPRAM 2014, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Evaluation of a face recognition system performance's variation on a citizen passports database.
Proceedings of the XL Latin American Computing Conference, 2014
Dairy Cattle Sub-clinical Uterine Disease Diagnosis Using Pattern Recognition and Image Processing Techniques.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
2013
2012
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., 2012
Improving Electric Fraud Detection using Class Imbalance Strategies.
Proceedings of the ICPRAM 2012, 2012
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012
2007
Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation.
IEEE Trans. Image Process., 2007
Proceedings of the 2007 IEEE Workshop on Automatic Identification Advanced Technologies, 2007
2004
Performance Improvement in a Fingerprint Classification System Using Anisotropic Diffusion.
Proceedings of the Progress in Pattern Recognition, 2004
2003
Proceedings of the 2003 International Conference on Image Processing, 2003
2001
Performance Evaluation of an Automatic Fingerprint Classification Algorithm Adapted to a Vucetich Based Classification System.
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2001
1996