Alicia Guerrero-Curieses

According to our database, Alicia Guerrero-Curieses authored at least 22 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Cybersecurity Alert Prioritization in a Critical High Power Grid With Latent Spaces.

Juan Ramón Feijoo-Martínez, Alicia Guerrero-Curieses, Francisco Javier Gimeno-Blanes, Mario Castro-Fernandez, José Luis Rojo-Álvarez

IEEE Access, 2023

2022

Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions.

María Piles, Jordi Muñoz-Marí, Alicia Guerrero-Curieses, Gustau Camps-Valls, José Luis Rojo-Álvarez

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Data Science Analysis and Profile Representation Applied to Secondary Prevention of Acute Coronary Syndrome.

Antonio García-García, Ignacio Prieto-Egido, Alicia Guerrero-Curieses, Juan Ramón Feijoo-Martínez, Sergio Muñoz-Romero, Sergio Manzano-Fernández, Pedro José Flores-Blanco, José Luis Rojo-Álvarez, Andrés Martínez-Fernández

IEEE Access, 2021

2020

Spectral Analysis and Mutual Information Estimation of Left and Right Intracardiac Electrograms during Ventricular Fibrillation.

Milton Fabricio Pérez-Gutierrez, Juan José Sánchez-Muñoz, Mayra Erazo-Rodas, Alicia Guerrero-Curieses, Estrella Everss, Aurelio Quesada-Dorador, Ricardo Ruiz-Granell, Alicia Ibáñez-Criado, Alex Bellver-Navarro, José Luis Rojo-Álvarez, Arcadi García-Alberola

Sensors, 2020

2016

Autocorrelation Kernel Support Vector Machines for Doppler Ultrasound M-Mode Images Denoising.

Cristina Soguero-Ruíz, Alicia Guerrero-Curieses, Francisco Javier Palancar, Javier Bermejo, José Carlos Antoranz, José Luis Rojo-Álvarez

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Nonuniform Interpolation of Cardiac Navigation Maps Using Support Vector Machines.

Beatriz Castro-García, Margarita Sanromán-Junquera, Alicia Guerrero-Curieses, Beatriz Trénor-Gomis, Arcadi García-Alberola, José Luis Rojo-Álvarez

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2014

Spectrally adapted Mercer kernels for support vector nonuniform interpolation.

Carlos Figuera, Óscar Barquero-Pérez, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Alicia Guerrero-Curieses, Antonio J. Caamaño

Signal Process., 2014

2011

Time-Space Sampling and Mobile Device Calibration for WiFi Indoor Location Systems.

Carlos Figuera, José Luis Rojo-Álvarez, Inmaculada Mora-Jiménez, Alicia Guerrero-Curieses, Mark Richard Wilby, Javier Ramos-López

IEEE Trans. Mob. Comput., 2011

Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift.

Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro

Neurocomputing, 2011

Spectrally adapted mercer kernels for support vector signal interpolation.

Carlos Figuera, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Alicia Guerrero-Curieses, Antonio J. Caamaño

Proceedings of the 19th European Signal Processing Conference, 2011

2009

Nonparametric Model Comparison and Uncertainty Evaluation for Signal Strength Indoor Location.

Carlos Figuera, Inmaculada Mora-Jiménez, Alicia Guerrero-Curieses, José Luis Rojo-Álvarez, Estrella Everss, Mark Richard Wilby, Javier Ramos-López

IEEE Trans. Mob. Comput., 2009

Cost-sensitive learning based on Bregman divergences.

Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro

Mach. Learn., 2009

On the Performance of Kernel Methods for Skin Color Segmentation.

Alicia Guerrero-Curieses, José Luis Rojo-Álvarez, Patricia Conde-Pardo, Iago Landesa-Vazquez, Javier Ramos-López, José Luis Alba-Castro

EURASIP J. Adv. Signal Process., 2009

Improving Classification under Changes in Class and Within-Class Distributions.

Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2007

Minimax Regret Classifier for Imprecise Class Distributions.

Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro

J. Mach. Learn. Res., 2007

2005

Minimax classifiers based on neural networks.

Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro

Pattern Recognit., 2005

Loss functions to combine learning and decision in multiclass problems.

Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro

Neurocomputing, 2005

2004

A fixed-point algorithm to minimax learning with neural networks.

Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro

IEEE Trans. Syst. Man Cybern. Part C, 2004

Local estimation of posterior class probabilities to minimize classification errors.

Alicia Guerrero-Curieses, Jesús Cid-Sueiro, Rocío Alaíz-Rodríguez, Aníbal R. Figueiras-Vidal

IEEE Trans. Neural Networks, 2004

2003

Loss functions to combine learning and decision in multiclass problems.

Alicia Guerrero-Curieses, Jesús Cid-Sueiro

Proceedings of the NNSP 2003, 2003

2002

Supervised classification of remote sensing images with unknown classes.

Alicia Guerrero-Curieses, Alessandro Biasiotto, Sebastiano Bruno Serpico, Gabriele Moser

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

2000

An Entropy Minimization Principle for Semi-Supervised Terrain Classification.

Alicia Guerrero-Curieses, Jesús Cid-Sueiro

Proceedings of the 2000 International Conference on Image Processing, 2000