IBISC  GENOPOLE     

2008

C. Auliac, V. Frouin, X. Gidrol, F. d'Alché-Buc, Evolutionary Approaches for the Reverse-Engineering of Gene Regulatory Networks: a study on a biologically realistic  Dataset, BMC Bioinformatics 2008, 9:91.

F. d'Alché-Buc, 10ième Conférence d'Apprentissage, Cépaduès, 2008.

F. d'Alché-Buc and Louis Wehenkel, Selected proceedings of Machine Learning in Systems Biology 2007, BMC proceedings, dece 2008.

2007

M. Quach, N.Brunel,  F. d’Alché-Buc, Estimating parameters of nonlinear ordinary differential equations for biological network inference, Bioinformatics 2007 23(23):3209-3216.

P. Geurts, N. Touleimat, Marie Dutreix, F. d’Alché-Buc, Inferring biological networks with output kernel trees, BMC Bioinfomatics, Vol.8, Suppl. 2, 3 May, 2007.

P. Geurts, L. Wehenkel, F. d'Alché-Buc, Gradient Boosting for kernelized output spaces, Proceedings of the 24th International Conference on Machine Learning (ICML), Corvalis, to appear in 2007.

Cédric Auliac, Florence d’Alché-Buc, and Vincent Frouin. Learning transcriptional regulatory networks with evolutionary algorithms enhanced with niching. Proceedings of The 4th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, Portofino, Italy, July 2007.

F. d’Alché-Buc, Inference of biological regulatory networks: machine learning approaches, chapter in the book Biological networks, edited by François Képès, World Scientific, to appear in 2007.

2006

P. Geurts, L. Wehenkel, F. d’Alché-Buc, “Kernelizing the ouputs of tree-based methods”, to appear in the proceedings of International Conf. On Machine Learning, (ICML’06) ,2006.

Minh Quach, Pierre Geurts, Florence d’Alché-Buc, “Elucidating the structure of genetic regulatory networks: a study of a second order dynamical model on artificial data” in Proc. 14 th European Symposium on Artificial Neural Networks (ESANN’O6) - 2006

Quinonero-Candela, J.; Dagan, I.; Magnini, B.; d'Alché-Buc, F. (Eds.) Machine Learning Challenges,Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment First Pascal Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers,Series: Lecture Notes in Computer Science ,Subseries: Lecture Notes in Artificial Intelligence , Vol. 3944 , 2006, XIII, 462 p., Softcover
ISBN: 3-540-33427

2005

F. d’Alché-Buc, V. Schächter, Modeling of biological networks, in proceedings of XI International Symposium on Applied Stochastic Models and Data Analysis (AMSDA), Brest, May 2005, p.167-180, ISBN 2-908849-15-1, Jacques Janssen and P. Lenca (eds), Groupe des écoles de télécommunications de France (publisher), 2005.

Liva Ralaivola and Florence d'Alché-Buc, Time Series Filtering, Smoothing and Learning using the Kernel Kalman Filter, Proceedings of IJCNN 2005, 31 Jul- 4 Aug 2005.

F. d’Alché-Buc P.-J Lahaye, B.-E. Perrin, L. Ralaivola, T. Vujasinovic, A. Mazurie, S. Bottani, dynamic model of gene regulatory networks based on inertia principle, Chapter in Bioinformatics Using Computational Intelligence Paradigms, Series: Studies in Fuzziness and Soft Computing, Vol. 176
Seiffert, U.; Jain, L.C.; Schweizer, P. (Eds.), Springer, pp. 93-117, 2005.

2004

L. Ralaivola, F. d'Alché-Buc, "Dynamical Modeling with Kernels for Nonlinear Time Series Prediction", to appear in Advances in Neural Information Processing Systems, L. Saul (eds), MIT Press, 2004.

B.-E. Perrin, L. Raliavola, F. d’Alché-Buc, A. Mazurie, J. Mallet, S. Bottani, Réseaux bayésiens dynamiques pour l'inférence de structure de réseaux de régulation, Informatique pour l'analyse du transcriptome (Traité IC2, série Informatique et systèmes d'information) / 2-7462-0850-4
Auteur(s) : BOULICAUT Jean-François - GRANDILLON Olivier, Hermès, 2004.

2003

B.-E. Perrin, L. Ralaivola, F. d'Alché-Buc, S. Bottani and A. Mazurie, "Gene networks inference using dynamic bayesian networks", to appear in Journal of Bioinformatics, 2003. article

M.-J. Lesot, F. d'Alché-Buc and G. Siolas, "Evaluation of topographic clustering and its kernelization", ECLM-PKDD 2003.

M.-J. Lesot, F. d'Alché-Buc and G. Siolas, Evaluation des cartes auto-organisatrices et de leur variante à noyaux, Actes de la conférence CAp 2003, à paraître.

L. Ralaivola et F. d'Alché-Buc, Filtrage de Kalman non linéaire à base de noyaux, GRETSI 2003.

2002

G. Siolas, F. d'Alché-Buc, Mixture of probabilistic PCAs and Fisher kernels for word and document modeling, Artificial neural networks-ICANN 2002, (eds) J. Dorronsoro, LNCS 2415, 2002.

F. d'Alché-Buc, Yves Grandvalet and Christophe Ambroise. Semi-Supervised MarginBoost in Advances in Neural Information Processing Systems, MIT press 2002. Preprint NIPS'01

F. d'Alché-Buc and Liva Ralaivola. Incremental Learning Algorithms for Classification and Regression: local strategies. Best Paper Award of the Symposium Soft Computing, Computational Intelligence, Neural Networks and Multi-agents. CASYS'01

2001

L. Ralaivola, F. d'Alché-Buc. Apprentissage incrémental pour les SVM : une approche locale. CAP01

Liva Ralaivola and F. d'Alché-Buc, Incremental learning of SVM: a local approach. ICANN'01.

Yves Grandvalet, F. d'Alché-Buc and Christophe Ambroise, Boosting Mixture models for a semi-supervised learning task, ICANN'01

2000

G. Siolas, F. d'Alché-Buc, Support vectors machines based on a semantic kernel for Text Categorization, IEEE-ICANN-IJCNN'00,( ps).

G. Siolas, F. d'Alché-Buc, Une distance sémantique pour la catégorisation de textes, CAP'00, Coordinateur C. de la Higuera, Hermès, 2000.

P. Leray, H. Zaragoza, F. d'Alché-Buc, Pertinence des mesures de confiance en classification, Conférence R.F.I.A. 2000, Paris.

F. d'Alché-Buc, Méthodes constructives d'apprentissage de règles, chapitre dans Induction Symbolique Numérique à partir de données, E. Diday, Y. Kodratoff, P. Brito, M. Moulet, Cépaduès, 2000.

1999

O. Gérard, J.-N. Patillon, F. d'Alché-Buc, Discharge Prediction of Rechargeable Batteries with Neural Networks, Int. Jour. of Integrated Computer-Aided Engineering,Special Issue on Neural Network Technique for Industrial Applications, July 1999,(ps).

O. Gérard, F. d'Alché-Buc, S. Makram-Ebeid, P. Gallinari, T. Artières,Automatic contour extraction in images using a 2-D hidden Markov model, ICANN'99, (Award of the Best Application Paper of the conference)

H. Zaragoza, F. d'Alché-Buc, Confidence measures for Neural Network Classifiers, IPMU'98.

O. Gérard, , F. d'Alché-Buc, S. Makram-Ebeid, P. Gallinari, T. Artières,Automatic contour extraction in images using a 2-D hidden Markov model, ICANN'99.

 

Papers before 1999

H. Zaragoza, F. d'Alché-Buc, Confidence measures for Neural Network Classifiers, IPMU'98.
M.-R. Amini, P. Gallinari, F. d'Alché-Buc, F. Bonnard, E. Fernandez, "Automated Statistical Recognition of Partial Discharge in Insulation Systems, ICANN'98.

F. d'Alché-Buc, S. Canu, T. Cibas, A. Elisseeff, P. Gallinari, H. Paugam-Moisy, "Détermination et controle de la complexite dans les systemes d'apprentissage numerique, Actes des 6iemes journees nationales du PRC-GDR Intelligence Artificielle, Hermes, 1997,371-402.

Y. Guermeur, F. d'Alché-Buc,P. Gallinari,Combinaisons lineaires optimales de classifieurs, Actes des XIX -iemes Journees de Statistiques, 1997.

Y. Guermeur, F. d'Alché-Buc, P. Gallinari,"Optimal Linear Regression on Classifier Outputs", ICANN 97.

O. Gérard, J.-N. Patillon, F. d'Alché-Buc,Neural Network Adaptive Modeling of Battery Discharge Behavior, ICANN'97.

. F. d'Alché-Buc et J.-P. Nadal ,"Méthodes constructives pour l'apprentissage a partir d'exemples : les arbres neuronaux et leur comportement asymptotique",La revue de Modulad, No16, 1996,1-19.

.d'Alché-Buc, F. and Nadal J.-P.,Asymptotic performance of a constructive algorithm, Neural Processing Letters,No 3, March, 1995 .

.F. d'Alché-Buc, D. Zwierski, and Nadal J.-P.,"Trio-Learning: a tool for building Hybrid Neural Trees",Int. Jour. of Neural Systems, Vol. 5, No. 4 (December, 1994) 259-274.

. F. d'Alché-Buc, J.-P. Nadal , and D. Zwierski, "Hybrid trees for supervised learning of decision rules", Proc. of the workshop "Combining symbolic and neural processing" joint to the 1994 Eur. Conf. on Artificial Intelligence, (ECAI-94), Amsterdam (Aug 8-10, 1994).

. F. d'Alché-Buc, Andres V. and Nadal J.-P.,"Rule extraction with a fuzzy neural network", Int. J. of Neural Systems, Vol. 5, No. 1 (March, 1994) 1-11.

. d'Alché-Buc, F., Andres V. and Nadal J.-P.,Learning Fuzzy Control Rules with a Fuzzy neural Network, ICANN'92, 1992, pp. 715-719.

International patents

F. d'Alché-Buc , D. Zwierski, J.-P. Nadal, Méthodes et appareil de configurations de signaux, brevet français déposé par Philips le 7 Avril 1993, étendu au niveau international (Etats-Unis, Europe, Japon), le 1er Avril 1994.

J.-N. Patillon, F. d?Alché-Buc, J.-P. Nadal, Système de contrôle de la phase de décharge des cycles de charge-décharge d?une batterie rechargeable, et d?un dispositif hôte muni d?une batterie intelligente, brevet déposé par Philips pour la France le 31/10/95, étendu pour l'Europe, les Etats-Unis, le Japon le 1er Novembre 1996.

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