According to our database1, Damien François authored at least 24 papers between 2003 and 2012.
Legend:Book In proceedings Article PhD thesis Other
Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification.
IEEE Trans. Biomed. Engineering, 2012
Choosing the Metric: A Simple Model Approach.
Proceedings of the Meta-Learning in Computational Intelligence, 2011
Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising.
Feature Selection for Interpatient Supervised Heart Beat Classification.
Comp. Int. and Neurosc., 2011
Class-Specific Feature Selection for One-Against-All Multiclass SVMs.
Proceedings of the ESANN 2011, 2011
Feature Selection for Inter-patient Supervised Heart Beat Classification.
Proceedings of the BIOSIGNALS 2011, 2011
Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising.
Proceedings of the ESANN 2010, 2010
Weighted SVMs and Feature Relevance Assessment in Supervised Heart Beat Classification.
Proceedings of the Biomedical Engineering Systems and Technologies, 2010
Feature Relevance Assessment in Automatic Inter-patient Heart Beat Classification.
Proceedings of the BIOSIGNALS 2010, 2010
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Fault Prediction in Aircraft Engines Using Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009
Supervised variable clustering for classification of NIR spectra.
Proceedings of the ESANN 2009, 2009
Advances in Feature Selection with Mutual Information.
Proceedings of the Similarity-Based Clustering, 2009
Methodology and standards for data analysis with machine learning tools.
Proceedings of the ESANN 2008, 2008
The Concentration of Fractional Distances.
IEEE Trans. Knowl. Data Eng., 2007
Resampling methods for parameter-free and robust feature selection with mutual information.
Feature clustering and mutual information for the selection of variables in spectral data.
Proceedings of the ESANN 2007, 2007
A Functional Approach to Variable Selection in Spectrometric Problems.
Proceedings of the Artificial Neural Networks, 2006
The permutation test for feature selection by mutual information.
Proceedings of the ESANN 2006, 2006
Vector quantization: a weighted version for time-series forecasting.
Future Generation Comp. Syst., 2005
The Curse of Dimensionality in Data Mining and Time Series Prediction.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Non-Euclidean metrics for similarity search in noisy datasets.
Proceedings of the ESANN 2005, 2005
On the Effects of Dimensionality on Data Analysis with Neural Networks.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Nonlinear Time Series Prediction by Weighted Vector Quantization.
Proceedings of the Computational Science - ICCS 2003, 2003