Service message: Final deadline 28 February 2013. On this date the website will be frozen and no further changes to accounts or reports will be possible. All itemised accounting and end of year request reporting must be complete by this date.

PASCAL Network

Full Name	Florence M d'Alché-Buc
Title	Professor
Site	CNRS-LRI/LM, Paris Sud
Status	Researcher
Tel	33 1 64 85 34 61
Fax
WWW	amis-group.fr
Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Information Retrieval & Textual Information Access

Publications

Number of records: 41.

	10e Conférence d'Apprentissage Book Item not available online. (29 May 2008)
	A Lexical Alignment Model for Probabilistic Textual Entailment Ido Dagan, Oren Glickman and Moshe Koppel Book Section Item availablity restricted. (July 2006)
	A Methodology for Topographic Clustering of Structured Text Documents Marie-Jeanne Lesot, Delphine Dard and Florence d'Alché-Buc Conference or Workshop Item (28 January 2004)
	A pragmatic Bayesian approach to predictive uncertainty Iain Murray and Ed Snelson Book Section Item not available online. (2006)
	Apprentissage relationnel du concept de régulation génétique Cyril Combe and Florence d'Alché-Buc Thesis Item availablity restricted. (15 November 2004)
	Boosting an operator-valued kernel autoregressive model to infer gene regulatory networks Néhémy Lim, Yasin \c{S}enbabao\u{g}lu, George Michailidis and Florence d'Alché-Buc Article Item availablity restricted. (15 November 2012)
	Completion of biological networks: the output kernel tree approach Pierre Geurts, Nizar Touleimat, Marie Dutreix and Florence d'Alché-Buc Conference or Workshop Item (17 June 2006)
	CycSim - an online genome-scale metabolic model simulator and browser, integrated with pathways databases François Le Fèvre, Serge Smidtas, Cyril Combe, Maxime Durot, Florence d'Alché-Buc and Vincent Schächter Article Item not available online. (August 2009)
	Dynamical Modeling with Kernels for Nonlinear Time Series Prediction Liva Ralaivola and Florence d'Alché-Buc Conference or Workshop Item (2004)
	Estimating parameters and hidden states in biological networks with particle filters Minh Quach, Nicolas Brunel and Florence d'Alché-Buc Conference or Workshop Item Item availablity restricted. (04 September 2007)
	Estimating Parameters and Hidden Variables in a Non-linear State-space Model of Regulatory Networks Minh Quach, Nicolas Brunel and Florence d'Alché-Buc Conference or Workshop Item Item availablity restricted. (28 March 2007)
	Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference Minh Quach, Nicolas Brunel and Florence d'Alché-Buc Article Item availablity restricted. (2007)
	Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference. Minh Quach, Nicolas Brunel and Florence d'Alché-Buc Article Item not available online. (November 2007)
	Estimating Predictive Variances with Kernel Ridge Regression gavin cawley, nicola talbot and Olivier Chapelle Book Section (November 2005)
	Estimation of parametric nonlinear ODEs for biological networks identification Florence d'Alché-Buc and Nicolas Brunel Book Section (July 2008)
	Evaluating Predictive Uncertainty, Visual Objects Classification and Recognising textual entailment : selected proceedings of the First PASCAL Machine Learning Challenges Workshop. Book Item not available online. (26 April 2006)
	Evolutionary approaches for the reverse-engineering of gene regulatory networks: a study on a biologically realistic dataset Cédric,C. Auliac, Vincent, V. Frouin, Xavier, X. Gidrol and Florence d'Alché-Buc Article Item not available online. (08 February 2008)
	Flow-based Bayesian estimation of nonlinear differential equations for modeling biological networks Nicolas J.-B. Brunel and Florence d'Alché-Buc Conference or Workshop Item Item availablity restricted. (September 2010)
	Gene networks inference using dynamical bayesian networks B.-E. Perrin, Liva Ralaivola, A. Mazurie, S. Bottani, J. Mallet and Florence d'Alché-Buc Article Item availablity restricted. (September 2003)
	Gradient Boosting for Kernelized Output Spaces Pierre Geurts, Louis Wehenkel and Florence d'Alché-Buc Book Section Item availablity restricted. (June 2007)
	Inference of biological regulatory networks: machine learning approaches Florence d'Alché-Buc Book Section Item availablity restricted. (2006)
	Inferring biological networks with output kernel trees Pierre Geurts, Nizar Touleimat, Marie Dutreix and Florence d'Alché-Buc Article Item availablity restricted. (2006)
	Kernelizing the output of tree-based methods Pierre Geurts, Louis Wehenkel and Florence d'Alché-Buc Conference or Workshop Item (25 June 2006)
	Learning a dynamical modle of gene regulatory network Florence d'Alché-Buc, Pierre-Jean Lahaye, Bruno-Edouard Perrin, Liva Ralaivola, Todor Vujasinovic and Samuele Bottani Book Section (2005)
	Learning a Markov Logic Network for supervised gene regulatory network inference Céline Brouard, Christel Vrain, Julie Dubois, David Castel, Marie-Anne Debily and Florence d'Alché-Buc Article (January 2013)
	Learning Transcriptional Regulatory Networks with Evolutionary Algorithms Enhanced with Niching Cédric Auliac, Florence d'Alché-Buc and Vincent Frouin Book Section Item availablity restricted. (2007)
	Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment Book Item not available online. (July 2006)
	Modeling of biological networks Florence d'Alché-Buc and Vincent Schächter Conference or Workshop Item (May 2005)
	Multi-spectral biclustering for data described by multiple similarities Farida Zehraoui and Florence d'Alché-Buc Conference or Workshop Item Item not available online. (13 September 2008)
	Multi-spectral biclustering for data described by multiple similarities. farida zehraoui and Florence d'Alché-Buc Monograph Item not available online. (October 2008)
	Multi-spectral biclustering for data described by multiple similarities. farida zehraoui and Florence d'Alché-Buc Conference or Workshop Item Item not available online. (September 2008)
	Nonlinear Time series filtering, smoothing and learning using the kernel Kalman filter Liva Ralaivola and Florence d'Alché-Buc Monograph (January 2004)
	Regularized output kernel methods for protein network inference Florence d'Alché-Buc Conference or Workshop Item Item not available online. (September 2010)
	Relational learning of biological networks Cyril Combe, Vincent Schächter, Stan Matwin and Florence d'Alché-Buc Conference or Workshop Item Item availablity restricted. (12 March 2005)
	Selected Proceedings of Machine Learning in Systems Biology: MLSB 2007 Book (17 December 2008)
	Semi-Supervized Penalized Output Kernel Regression for Link Prediction Céline Bouard, Florence d'Alché-Buc and Marie Szafranski Conference or Workshop Item Item not available online. (2011)
	Statistical relational learning for supervised gene regulatory network inference Céline Brouard, Julie Dubois, Christel Vrain, Marie-Anne Debily and Florence d'Alché-Buc Conference or Workshop Item Item not available online. (05 September 2009)
	The 2005 PASCAL Visual Object Classes Challenge Mark Everingham, Andrew Zisserman, Christopher Williams, Luc Van Gool, Moray Allan, Chris Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyorgy Dorko, Stefan Duffner, Jan Eichhorn, Jason Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frederic Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos Storkey, Sandor Szedmak, William Triggs, Ilkay Ulusoy, Ville Viitaniemi and Jianguo Zhang Book Section (2006)
	The PASCAL Recognising Textual Entailment Challenge Ido Dagan, Oren Glickman and Bernardo Magnini Book Section Item availablity restricted. (July 2006)
	Time Series Filtering, Smoothing and Learning using the Kernel Kalman Filter Liva Ralaivola and Florence d'Alché-Buc Conference or Workshop Item Item not available online. (2005)
	Towards the understanding of the CFTR dynamic interactome: the example of inflammation. Communication in ECFS Conference - New Frontiers in Basic Science of Cystic Fibrosis. Florence Borot, Ludovic Jeanson, Chiara Guerrera, J Colas, P Pawlowski, farida zehraoui, Florence d'Alché-Buc, P Zielenkiewicz, E Escudier, Franck Brouillard, Mario Ollero and Aleksander Edelman Conference or Workshop Item Item not available online. (April 2008)

This list was generated on Sun May 26 09:32:02 BST 2013.