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ORCIDAlicia Guerrero-Curieses
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2020 – today
- 2023
[j15]Juan Ramón Feijoo-Martínez
, Alicia Guerrero-Curieses, Francisco Javier Gimeno-Blanes, Mario Castro-Fernandez, José Luis Rojo-Álvarez:
Cybersecurity Alert Prioritization in a Critical High Power Grid With Latent Spaces. IEEE Access 11: 23754-23770 (2023)- 2022
- [j14]María Piles, Jordi Muñoz-Marí, Alicia Guerrero-Curieses, Gustau Camps-Valls, José Luis Rojo-Álvarez:
Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - 2021
- [j13]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:
Data Science Analysis and Profile Representation Applied to Secondary Prevention of Acute Coronary Syndrome. IEEE Access 9: 78607-78620 (2021) - 2020
- [j12]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:
Spectral Analysis and Mutual Information Estimation of Left and Right Intracardiac Electrograms during Ventricular Fibrillation. Sensors 20(15): 4162 (2020)
2010 – 2019
- 2016
- [c8]Beatriz Castro-García, Margarita Sanromán-Junquera, Alicia Guerrero-Curieses, Beatriz Trénor-Gomis, Arcadi García-Alberola, José Luis Rojo-Álvarez:
Nonuniform Interpolation of Cardiac Navigation Maps Using Support Vector Machines. CinC 2016 - [c7]Cristina Soguero-Ruíz, Alicia Guerrero-Curieses, Francisco Javier Palancar, Javier Bermejo, José Carlos Antoranz, José Luis Rojo-Álvarez:
Autocorrelation Kernel Support Vector Machines for Doppler Ultrasound M-Mode Images Denoising. CinC 2016 - 2014
- [j11]Carlos Figuera, Óscar Barquero-Pérez, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Alicia Guerrero-Curieses, Antonio J. Caamaño:
Spectrally adapted Mercer kernels for support vector nonuniform interpolation. Signal Process. 94: 421-433 (2014) - 2011
- [j10]Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro:
Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift. Neurocomputing 74(16): 2614-2623 (2011) - [j9]Carlos Figuera, José Luis Rojo-Álvarez, Inmaculada Mora-Jiménez, Alicia Guerrero-Curieses, Mark Richard Wilby, Javier Ramos-López:
Time-Space Sampling and Mobile Device Calibration for WiFi Indoor Location Systems. IEEE Trans. Mob. Comput. 10(7): 913-926 (2011) - [c6]Carlos Figuera, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Alicia Guerrero-Curieses, Antonio J. Caamaño:
Spectrally adapted mercer kernels for support vector signal interpolation. EUSIPCO 2011: 961-965
2000 – 2009
- 2009
- [j8]Alicia Guerrero-Curieses, José Luis Rojo-Álvarez, Patricia Conde-Pardo, Iago Landesa-Vazquez, Javier Ramos-López, José Luis Alba-Castro:
On the Performance of Kernel Methods for Skin Color Segmentation. EURASIP J. Adv. Signal Process. 2009 (2009) - [j7]Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro:
Cost-sensitive learning based on Bregman divergences. Mach. Learn. 76(2-3): 271-285 (2009) - [j6]Carlos Figuera, Inmaculada Mora-Jiménez, Alicia Guerrero-Curieses, José Luis Rojo-Álvarez, Estrella Everss, Mark Richard Wilby, Javier Ramos-López:
Nonparametric Model Comparison and Uncertainty Evaluation for Signal Strength Indoor Location. IEEE Trans. Mob. Comput. 8(9): 1250-1264 (2009) - [c5]Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro:
Improving Classification under Changes in Class and Within-Class Distributions. IWANN (1) 2009: 122-130 - [c4]Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro:
Cost-Sensitive Learning Based on Bregman Divergences. ECML/PKDD (1) 2009: 12 - 2007
- [j5]Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro:
Minimax Regret Classifier for Imprecise Class Distributions. J. Mach. Learn. Res. 8: 103-130 (2007) - 2005
- [j4]Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro:
Loss functions to combine learning and decision in multiclass problems. Neurocomputing 69(1-3): 3-17 (2005) - [j3]Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro:
Minimax classifiers based on neural networks. Pattern Recognit. 38(1): 29-39 (2005) - 2004
- [j2]Alicia Guerrero-Curieses, Jesús Cid-Sueiro, Rocío Alaíz-Rodríguez, Aníbal R. Figueiras-Vidal:
Local estimation of posterior class probabilities to minimize classification errors. IEEE Trans. Neural Networks 15(2): 309-317 (2004) - [j1]Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro:
A fixed-point algorithm to minimax learning with neural networks. IEEE Trans. Syst. Man Cybern. Part C 34(4): 383-392 (2004) - 2003
- [c3]Alicia Guerrero-Curieses, Jesús Cid-Sueiro:
Loss functions to combine learning and decision in multiclass problems. NNSP 2003: 319-328 - 2002
- [c2]Alicia Guerrero-Curieses, Alessandro Biasiotto, Sebastiano Bruno Serpico, Gabriele Moser:
Supervised classification of remote sensing images with unknown classes. IGARSS 2002: 3486-3488 - 2000
- [c1]Alicia Guerrero-Curieses, Jesús Cid-Sueiro:
An Entropy Minimization Principle for Semi-Supervised Terrain Classification. ICIP 2000: 312-315
Coauthor Index
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