Publications about feature selection

• Journal Articles
• International Conferences
• National Conferences (in French)

Journal Articles

• (4) A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis. Catherine Krier, Fabrice Rossi, Damien François and Michel Verleysen. Chemometrics and Intelligent Laboratory Systems, volume 91, number 1, pages 43-53. March 2008.
  [publisher link] [hal] [arXiv:0802.0287] [preprint (pdf)] [bib]
• (3) Fast Selection of Spectral Variables with B-Spline Compression. Fabrice Rossi, Damien François, Vincent Wertz, Marc Meurens and Michel Verleysen. Chemometrics and Intelligent Laboratory Systems, volume 86, number 2, pages 208-218. April 2007.
  [publisher link] [hal] [arXiv:0709.3639v1] [preprint (ps)] [preprint (pdf)] [bib]
  Cited by +/-

  1. L. Komsta, R. Skibiński, M. Paryło and K. Dudek. The Basis Function Regression in pharmaceutical analysis Theory and example of application. Journal of Pharmaceutical and Biomedical Analysis 47(4-5):659-669, August 2008.
• (2) Resampling methods for parameter-free and robust feature selection with mutual information. Damien François, Fabrice Rossi, Vincent Wertz and Michel Verleysen. Neurocomputing, volume 70, number 7-9, pages 1276-1288. March 2007.
  [publisher link] [hal] [arXiv:0709.3640v1] [preprint (ps)] [preprint (pdf)] [bib]
  Cited by +/-

  1. C.-H. Chueh and J.-T. Chien. Reliable feature selection for language model adaptation. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), pages 5089-5092, April 2008.
  2. Y. Miche, P. Bas, C. Jutten, O. Simula, and A. Lendasse. A methodology for Building Regression Models using Extreme Learning Machine: OP-ELM, in Proceedings of XVIth European Symposium on Artificial Neural Networks (ESANN 2008), pages 247-252, Bruges (Belgium), April 2008.
• (1) Mutual information for the selection of relevant variables in spectrometric nonlinear modelling. Fabrice Rossi, Amaury Lendasse, Damien François, Vincent Wertz and Michel Verleysen. Chemometrics and Intelligent Laboratory Systems, volume 80, number 2, pages 215-226. February 2006.
  [publisher link] [hal] [arXiv:0709.3427v1] [preprint (ps)] [preprint (pdf)] [bib]
  Cited by +/-

  1. A.H. Vahabie, M.M.R. Yousefi, B.N. Araabi, C. Lucas, S. Barghinia, and P.Ansarimehr. Mutual Information Based Input Selection in Neuro-Fuzzy Modeling for Short Term Load Forecasting of Iran National Power System. In Proceedings of the IEEE International Conference on Control and Automation (ICCA 2007), pages 2710-2715 , May 30 2007-June 1 2007.
  2. K. Hlavackova-Schindler, M. Palus, M. Vejmelka, and J. Bhattacharya. Causality detection based on information-theoretic approaches in time series analysis, Physics Reports, 441(1):1-46, 2007.
  3. L. Herrera, H. Pomares, I. Rojas, A. Guillen, A. Prieto, and O. Valenzuela. Recursive prediction for long term time series forecasting using advanced models. Neurocomputing, 70(16-18):2870-2880, October 2007.
  4. C. Gomez, R. Hornero, D. Abasolo, A. Fernandez, and J. Escudero. Analysis of the magnetoencephalogram background activity in alzheimer's disease patients with auto-mutual information. Computer Methods and Programs in Biomedicine, 87(3):239-247, 2007.
  5. A. Durand, O. Devos, C. Ruckebusch, and J. Huvenne. Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative analysis of cotton-viscose textiles. Analytica Chimica Acta, 595(1-2):72-79, 2007.
  6. M. M. R. Yousefi, M. Mirmomeni, and C. Lucas. Input variables selection using mutual information for neuro fuzzy modeling with the application to time series forecasting. In Proceedings of the International Joint Conference on Neural Networks (IJCNN 2007), pages 1121-1126, Orlando, Florida (U.S.A.), August 2007.
  7. F. Corona, S. Sassu, Lorenzo and. Melis, and R. Baratti. Measure of topological relevance for soft sensing product properties. In Proceedings of the 8th IFAC International Symposium on Dynamics and Control of Process Systems (DYCOPS 2007), pages 175-180, June 2007.
  8. C. Tan, M. Li, and X. Qin. Random Subspace Regression Ensemble for Near-Infrared Spectroscopic Calibration of Tobacco Samples. Analytical Sciences, 24(5):647-653, May 2008.
  9. Q. Noirhomme, R.I. Kitney, and B. Macq. Single-Trial EEG Source Reconstruction for Brain–Computer Interface. IEEE Transactions on Biomedical Engineering, 55(5):1592-1601, May 2008.

International Conferences

• (5) Constrained variable clustering for functional data representation. Fabrice Rossi and Yves Lechevallier. In Proceedings of the first joint meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society (SFC-CLADAG 2008) (to be published), Caserta, Italy. June 2008.
• (4) Feature clustering and mutual information for the selection of variables in spectral data. Catherine Krier, Fabrice Rossi, Damien François and Michel Verleysen. In Proceedings of XVth European Symposium on Artificial Neural Networks (ESANN 2007), pages 157-162, Bruges, Belgium. April 2007.
  [publisher link] [pdf] [bib]
• (3) A functional approach to variable selection in spectrometric problems. Fabrice Rossi, Damien François, Vincent Wertz and Michel Verleysen. In S. Kollias, A. Stafylopatis, W. Duch, and E. Oja, editors, Artificial Neural Networks (Proceedings of 16th International Conference on Artificial Neural Networks, ICANN 2006), pages 11-20, Athens, Greece. September 2006.
  [publisher link] [ps] [pdf] [bib]
• (2) Geometrical Selection of Important Inputs with Feedforward Neural Networks. Fabrice Rossi. In Pearson, D. W. and Steele, N. C. and Albrecht, R. F., editors, Int. Conf. on Artificial Neural Nets and Genetic Algorithms, Norwich, United Kingdom. April 1997.
  [ps] [pdf] [bib]
• (1) Attribute suppression with multi-layer perceptron. Fabrice Rossi. In CESA Multiconference, volume Symposium on Robotics and Cybernetics, pages 542-547, Lille, France. July 1996. IMACS
  [ps] [pdf] [bib]
  Cited by +/-

  1. B. Jeong and H. Cho. Feature selection techniques and comparative studies for large-scale manufacturing processes. The International Journal of Advanced Manufacturing Technology, 28(9):1006-1011, April 2006.
  2. M. Yacoub. Techniques d'élagage et sélection de variables. In Y. Bennani, editor, Apprentissage connexionniste, Informatique et Systèmes d'information, chapter 9, pages 249-277. Hermes Science / Lavoisier, 2006.
  3. P. Leray and P. Gallinari. Feature selection with neural networks. Behaviormetrika, 26(1):145-166, 1999. Special issue on Analysis of-Knowledge Representation in Neural Network Models.

National Conferences (in French)

• (4) Estimation de redondance pour le clustering de variables spectrales. Damien François, Catherine Krier, Fabrice Rossi and Michel Verleysen. In Actes des 10èmes journées Européennes Agro-industrie et Méthodes statistiques (Agrostat 2008), pages 55-61, Louvain-la-Neuve, Belgique. Janvier 2008.
  [pdf] [bib]
• (3) Estimation de redondance conditionnelle par plus proches voisins, application au clustering de variables spectrales. Damien François, Catherine Krier, Fabrice Rossi and Michel Verleysen. In Actes de la conférence Chimiométrie 2007, pages 43-46, Lyon, France. Novembre 2007.
  [pdf] [bib]
• (2) Sélection de groupes de variables spectrales par information mutuelle grâce à une représentation spline. Fabrice Rossi, Damien François, Vincent Wertz and Michel Verleysen. In Actes de la conférence Chimiométrie 2005, pages 52-55, Villeneuve d'Ascq, France. Décembre 2005.
  [pdf] [bib]
• (1) Sélection de variables spectrales par information mutuelle multivariée pour la construction de modèles non-linéaires. Amaury Lendasse, Damien François, Fabrice Rossi, Vincent Wertz and Michel Verleysen. In Actes de la conférence Chimiométrie 2004, pages 44-47, Paris, France. Décembre 2004.
  [pdf] [bib]

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