Size of Multilayer Networks for Exact Learning: Analytic Approach. - André Elisseeff; Hélène Paugam-Moisy (NIPS, 1996)

JNN, a randomized algorithm for training multilayer networks in polynomial time. - André Elisseeff; Hélène Paugam-Moisy (Neurocomputing, 1999)

A New Multi-Class SVM Based on a Uniform Convergence Result. - Yann Guermeur; André Elisseeff; Hélène Paugam-Moisy (IJCNN (4), 2000)

Generalization Performance of Multiclass Discriminant Models. - Hélène Paugam-Moisy; André Elisseeff; Yann Guermeur (IJCNN (4), 2000)

Algorithmic Stability and Generalization Performance. - Olivier Bousquet; André Elisseeff (NIPS, 2000)

On Kernel-Target Alignment. - Nello Cristianini; John Shawe-Taylor; André Elisseeff; Jaz S. Kandola (NIPS, 2001)

A kernel method for multi-labelled classification. - André Elisseeff; Jason Weston (NIPS, 2001)

A Simple Algorithm for Learning Stable Machines. - Savina Andonova; André Elisseeff; Theodoros Evgeniou; Massimiliano Pontil (ECAI, 2002)

Kernel Dependency Estimation. - Jason Weston; Olivier Chapelle; André Elisseeff; Bernhard Schölkopf; Vladimir Vapnik (NIPS, 2002)

A Stability Based Method for Discovering Structure in Clustered Data. - Asa Ben-Hur; André Elisseeff; Isabelle Guyon (Pacific Symposium on Biocomputing, 2002)

Stability and Generalization. - Olivier Bousquet; André Elisseeff (J. Mach. Learn. Res., 2002)

Semi-supervised Protein Classification Using Cluster Kernels. - Jason Weston; Christina S. Leslie; Dengyong Zhou; André Elisseeff; William Stafford Noble (NIPS, 2003)

Feature selection and transduction for prediction of molecular bioactivity for drug design. - Jason Weston; Fernando Pérez-Cruz; Olivier Bousquet; Olivier Chapelle; André Elisseeff; Bernhard Schölkopf (Bioinform., 2003)

An Introduction to Variable and Feature Selection. - Isabelle Guyon; André Elisseeff (J. Mach. Learn. Res., 2003)

Use of the Zero-Norm with Linear Models and Kernel Methods. - Jason Weston; André Elisseeff; Bernhard Schölkopf; Michael E. Tipping (J. Mach. Learn. Res., 2003)

Combining protein secondary structure prediction models with ensemble methods of optimal complexity. - Yann Guermeur; Gianluca Pollastri; André Elisseeff; Dominique Zelus; Hélène Paugam-Moisy; Pierre Baldi (Neurocomputing, 2004)

Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers. - Theodoros Evgeniou; Massimiliano Pontil; André Elisseeff (Mach. Learn., 2004)

Efficient Allocation of Marketing Resources using Dynamic Programming. - Giuliano Tirenni; Abderrahim Labbi; André Elisseeff; Cesar Berrospi (SDM, 2005)

Semi-supervised protein classification using cluster kernels. - Jason Weston; Christina S. Leslie; Eugene Ie; Dengyong Zhou; André Elisseeff; William Stafford Noble (Bioinform., 2005)

Stability of Randomized Learning Algorithms. - André Elisseeff; Theodoros Evgeniou; Massimiliano Pontil (J. Mach. Learn. Res., 2005)

An Introduction to Feature Extraction. - Isabelle Guyon; André Elisseeff (Feature Extraction, 2006)

Embedded Methods. - Thomas Navin Lal; Olivier Chapelle; Jason Weston; André Elisseeff (Feature Extraction, 2006)

A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables. - Jean-Philippe Pellet; André Elisseeff (IDA, 2007)

Guest editorial: Learning theory. - Olivier Bousquet; André Elisseeff (Mach. Learn., 2007)

Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets. - Jean-Philippe Pellet; André Elisseeff (NIPS, 2008)

Explanation Trees for Causal Bayesian Networks. - Ulf H. Nielsen; Jean-Philippe Pellet; André Elisseeff (UAI, 2008)

Design and Analysis of the Causation and Prediction Challenge. - Isabelle Guyon; Constantin F. Aliferis; Gregory F. Cooper; André Elisseeff; Jean-Philippe Pellet; Peter Spirtes; Alexander R. Statnikov (WCCI Causation and Prediction Challenge, 2008)

Using Markov Blankets for Causal Structure Learning. - Jean-Philippe Pellet; André Elisseeff (J. Mach. Learn. Res., 2008)

Subagging for credit scoring models. - Giuseppe Paleologo; André Elisseeff; Gianluca Antonini (Eur. J. Oper. Res., 2010)

Causal networks for risk and compliance: Methodology and application. - André Elisseeff; Jean-Philippe Pellet; Eleni Pratsini (IBM J. Res. Dev., 2010)