Alicia Guerrero-Curieses

According to our database1, Alicia Guerrero-Curieses authored at least 18 papers between 2000 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2016
Autocorrelation Kernel Support Vector Machines for Doppler Ultrasound M-Mode Images Denoising.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Nonuniform Interpolation of Cardiac Navigation Maps Using Support Vector Machines.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2014
Spectrally adapted Mercer kernels for support vector nonuniform interpolation.
Signal Process., 2014

2011
Time-Space Sampling and Mobile Device Calibration for WiFi Indoor Location Systems.
IEEE Trans. Mob. Comput., 2011

Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift.
Neurocomputing, 2011

Spectrally adapted mercer kernels for support vector signal interpolation.
Proceedings of the 19th European Signal Processing Conference, 2011

2009
Nonparametric Model Comparison and Uncertainty Evaluation for Signal Strength Indoor Location.
IEEE Trans. Mob. Comput., 2009

Cost-sensitive learning based on Bregman divergences.
Mach. Learn., 2009

On the Performance of Kernel Methods for Skin Color Segmentation.
EURASIP J. Adv. Signal Process., 2009

Improving Classification under Changes in Class and Within-Class Distributions.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2007
Minimax Regret Classifier for Imprecise Class Distributions.
J. Mach. Learn. Res., 2007

2005
Minimax classifiers based on neural networks.
Pattern Recognit., 2005

Loss functions to combine learning and decision in multiclass problems.
Neurocomputing, 2005

2004
A fixed-point algorithm to minimax learning with neural networks.
IEEE Trans. Syst. Man Cybern. Part C, 2004

Local estimation of posterior class probabilities to minimize classification errors.
IEEE Trans. Neural Networks, 2004

2003
Loss functions to combine learning and decision in multiclass problems.
Proceedings of the NNSP 2003, 2003

2002
Supervised classification of remote sensing images with unknown classes.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

2000
An Entropy Minimization Principle for Semi-Supervised Terrain Classification.
Proceedings of the 2000 International Conference on Image Processing, 2000


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