Damien François

According to our database1, Damien François authored at least 24 papers between 2003 and 2012.

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



In proceedings 
PhD thesis 


On csauthors.net:


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.
Neurocomputing, 2011

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

Feature Selection.
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.
Neurocomputing, 2007

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