Damien François

According to our database1, Damien François authored at least 27 papers between 2003 and 2012.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2012
Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification.
IEEE Trans. Biomed. Eng., 2012

2011
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.
Comput. Intell. Neurosci., 2011

Class-Specific Feature Selection for One-Against-All Multiclass SVMs.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Feature Selection for Inter-patient Supervised Heart Beat Classification.
Proceedings of the BIOSIGNALS 2011, 2011

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

2009
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 17th European Symposium on Artificial Neural Networks, 2009

Advances in Feature Selection with Mutual Information.
Proceedings of the Similarity-Based Clustering, 2009

2008
A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis
CoRR, 2008

Methodology and standards for data analysis with machine learning tools.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
High-dimensional data analysis: optimal metrics and feature selection/.
PhD thesis, 2007

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

Fast Selection of Spectral Variables with B-Spline Compression
CoRR, 2007

Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
CoRR, 2007

Feature clustering and mutual information for the selection of variables in spectral data.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
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 14th European Symposium on Artificial Neural Networks, 2006

2005
Vector quantization: a weighted version for time-series forecasting.
Future Gener. Comput. 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 13th European Symposium on Artificial Neural Networks, 2005

2003
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


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