ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification Tables. - Stéphane Lallich (PKDD, 1999)

Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept. - Ricco Rakotomalala; Stéphane Lallich; S. Di Palma (PKDD, 1999)

Fast Feature Selection Using Partial Correlation for Multi-vaslued Attributes. - Stéphane Lallich; Ricco Rakotomalala (PKDD, 2000)

Boosting Neighborhood-Based Classifiers. - Marc Sebban; Richard Nock; Stéphane Lallich (ICML, 2001)

Amélioration d'une classification par filtrage des exemples mal étiquetés. - Fabrice Muhlenbach; Stéphane Lallich; Djamel A. Zighed (EGC, 2002)

Improving Classification by Removing or Relabeling Mislabeled Instances. - Stéphane Lallich; Fabrice Muhlenbach; Djamel A. Zighed (ISMIS, 2002)

Separability Index in Supervised Learning. - Djamel A. Zighed; Stéphane Lallich; Fabrice Muhlenbach (PKDD, 2002)

Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem. - Marc Sebban; Richard Nock; Stéphane Lallich (J. Mach. Learn. Res., 2002)

Construction d'arbres de décision par optimisation. - Ricco Rakotomalala; Stéphane Lallich (Rev. d'Intelligence Artif., 2002)

Traitement des exemples atypiques en apprentissage par la régression. - Stéphane Lallich; Fabrice Muhlenbach; Djamel A. Zighed (EGC, 2003)

A test to control a region growing process within a hierarchical graph. - Stéphane Lallich; Fabrice Muhlenbach; Jean-Michel Jolion (Pattern Recognit., 2003)

Outlier Handling in the Neighbourhood-Based Learning of a Continuous Class. - Fabrice Muhlenbach; Stéphane Lallich; Djamel A. Zighed (Discovery Science, 2004)

A Clustering of Interestingness Measures. - Benoît Vaillant; Philippe Lenca; Stéphane Lallich (Discovery Science, 2004)

Fouille dans la structure de documents XML. - Amandine Duffoux; Omar Boussaid; Stéphane Lallich; Fadila Bentayeb (EGC, 2004)

Contrôle du risque multiple pour la sélection de règles d'association significatives. - Stéphane Lallich; Elie Prudhomme; Olivier Teytaud (EGC, 2004)

Etude expérimentale de mesures de qualité de règles d'associations. - Benoît Vaillant; Philippe Lenca; Stéphane Lallich (EGC, 2004)

Identifying and Handling Mislabelled Instances. - Fabrice Muhlenbach; Stéphane Lallich; Djamel A. Zighed (J. Intell. Inf. Syst., 2004)

Validation statistique des cartes de Kohonen en apprentissage supervisé. - Elie Prudhomme; Stéphane Lallich (EGC, 2005)

Mesurer l'intérêt des règles d'association. - Benoît Vaillant; Patrick Meyer; Elie Prudhomme; Stéphane Lallich; Philippe Lenca; Sébastien Bigaret (EGC (Ateliers), 2005)

Modeling of the counter-examples and association rules interestingness measures behavior. - Benoît Vaillant; Stéphane Lallich; Philippe Lenca (DMIN, 2006)

A Study of the Robustness of Association Rules. - Jérôme Azé; Philippe Lenca; Stéphane Lallich; Benoît Vaillant (DMIN, 2007)

Ensemble prédicteur fondé sur les cartes auto-organisatrices adapté aux données volumineuses. - Elie Prudhomme; Stéphane Lallich (EGC, 2007)

Association Rule Interestingness: Measure and Statistical Validation. - Stéphane Lallich; Olivier Teytaud; Elie Prudhomme (Quality Measures in Data Mining, 2007)

Association Rule Interestingness Measures: Experimental and Theoretical Studies. - Philippe Lenca; Benoît Vaillant; Patrick Meyer; Stéphane Lallich (Quality Measures in Data Mining, 2007)

Représentation des données par un comité de cartes auto-organisatrices : une application aux données bruitées. - Elie Prudhomme; Stéphane Lallich (AAFD, 2008)

Using Local Node Information in Decision Trees: Coupling a Local Labeling Rule with an Off-centered Entropy. - Nguyen-Khang Pham; Thanh-Nghi Do; Philippe Lenca; Stéphane Lallich (DMIN, 2008)

Optimization of Self-Organizing Maps Ensemble in Prediction. - Elie Prudhomme; Stéphane Lallich (DMIN, 2008)

Une approche ensembliste inspirée du boosting en classification non supervisée. - Romain Billot; Henri-Maxime Suchier; Stéphane Lallich (EGC, 2008)

Maps Ensemble for Semi-Supervised Learning of Large High Dimensional Datasets. - Elie Prudhomme; Stéphane Lallich (ISMIS, 2008)

A Comparison of Different Off-Centered Entropies to Deal with Class Imbalance for Decision Trees. - Philippe Lenca; Stéphane Lallich; Thanh-Nghi Do; Nguyen-Khang Pham (PAKDD, 2008)

On selecting interestingness measures for association rules: User oriented description and multiple criteria decision aid. - Philippe Lenca; Patrick Meyer; Benoît Vaillant; Stéphane Lallich (Eur. J. Oper. Res., 2008)

On the behavior of the generalizations of the intensity of implication: A data-driven comparative study. - Benoît Vaillant; Stéphane Lallich; Philippe Lenca (Statistical Implicative Analysis, 2008)

Pruning for Extracting Class Association Rules Without Candidate Generation. - Emna Bahri; Stéphane Lallich (DMIN, 2009)

Classifying Very-High-Dimensional Data with Random Forests of Oblique Decision Trees. - Thanh-Nghi Do; Philippe Lenca; Stéphane Lallich; Nguyen-Khang Pham (EGC (best of volume), 2009)

FCP-Growth, une adaptation de FP-Growth pour générer des règles d'association de classe. - Emna Bahri; Stéphane Lallich (EGC, 2009)

Un nouvel algorithme de forêts aléatoires d'arbres obliques particulièrement adapté à la classification de données en grandes dimensions. - Thanh-Nghi Do; Stéphane Lallich; Nguyen-Khang Pham; Philippe Lenca (EGC, 2009)

FCP-Growth: Class Itemsets for Class Association Rules. - Emna Bahri; Stéphane Lallich (FLAIRS, 2009)

A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters. - Fabrice Muhlenbach; Stéphane Lallich (ICDM, 2009)

Improving Prediction by Weighting Class Association Rules. - Emna Bahri; Stéphane Lallich (ICMLA, 2009)

All-Monotony: A Generalization of the All-Confidence Antimonotony. - Yannick Le Bras; Philippe Lenca; Sorin Moga; Stéphane Lallich (ICMLA, 2009)

On Optimal Rule Mining: A Framework and a Necessary and Sufficient Condition of Antimonotonicity. - Yannick Le Bras; Philippe Lenca; Stéphane Lallich (PAKDD, 2009)

A Hybrid Approach of Boosting Against Noisy Data. - Emna Bahri; Stéphane Lallich; Nicolas Nicoloyannis; Mondher Maddouri (Mining Complex Data, 2009)

Classification associative basée sur le Boosting. - Emna Bahri; Stéphane Lallich (EGC, 2010)

A Robustness Measure of Association Rules. - Yannick Le Bras; Patrick Meyer; Philippe Lenca; Stéphane Lallich (ECML/PKDD (2), 2010)

Discovering Research Communities by Clustering Bibliographical Data. - Fabrice Muhlenbach; Stéphane Lallich (Web Intelligence, 2010)

Mining Interesting Rules Without Support Requirement: A General Universal Existential Upward Closure Property. - Yannick Le Bras; Philippe Lenca; Stéphane Lallich (Data Mining, 2010)

Mining Classification Rules without Support: an Anti-monotone Property of Jaccard Measure. - Yannick Le Bras; Philippe Lenca; Stéphane Lallich (Discovery Science, 2011)

Structuring Typical Evolutions Using Temporal-Driven Constrained Clustering. - Marian-Andrei Rizoiu; Julien Velcin; Stéphane Lallich (ICTAI, 2012)

Optimonotone Measures for Optimal Rule Discovery. - Yannick Le Bras; Philippe Lenca; Stéphane Lallich (Comput. Intell., 2012)

The use of regional platforms for managing electronic health records for the production of regional public health indicators in France. - Marie Hélène Metzger; Thierry Durand; Stéphane Lallich; Roger Salamon; Philippe Castets (BMC Medical Informatics Decis. Mak., 2012)

Mesure formelle de la robustesse des règles d'association. - Yannick Le Bras; Patrick Meyer; Philippe Lenca; Stéphane Lallich (Mesurer et évaluer la Qualité des Données et des Connaissances, 2012)

Unsupervised feature construction for improving data representation and semantics. - Marian-Andrei Rizoiu; Julien Velcin; Stéphane Lallich (J. Intell. Inf. Syst., 2013)

How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions. - Marian-Andrei Rizoiu; Julien Velcin; Stéphane Lallich (Int. J. Artif. Intell. Tools, 2014)

Warehousing Complex Archaeological Objects. - Aybüke Öztürk; Louis Eyango; Sylvie Yona Waksman; Stéphane Lallich; Jérôme Darmont (CONTEXT, 2015)

Constrained independence for detecting interesting patterns. - Thomas Delacroix; Ahcene Boubekki; Philippe Lenca; Stéphane Lallich (DSAA, 2015)

Semantic-enriched visual vocabulary construction in a weakly supervised context. - Marian-Andrei Rizoiu; Julien Velcin; Stéphane Lallich (Intell. Data Anal., 2015)

Comparison of two topological approaches for dealing with noisy labeling. - Fabien Rico; Fabrice Muhlenbach; Djamel A. Zighed; Stéphane Lallich (Neurocomputing, 2015)

Guest editor's introduction: special issue on quality issues, measures of interestingness and evaluation of data mining models. - Philippe Lenca; Stéphane Lallich (J. Intell. Inf. Syst., 2015)

Classifying many-class high-dimensional fingerprint datasets using random forest of oblique decision trees. - Thanh-Nghi Do; Philippe Lenca; Stéphane Lallich (Vietnam. J. Comput. Sci., 2015)

ClusPath: a temporal-driven clustering to infer typical evolution paths. - Marian-Andrei Rizoiu; Julien Velcin; Stéphane Bonnevay; Stéphane Lallich (Data Min. Knowl. Discov., 2016)

A Visual Quality Index for Fuzzy C-Means. - Aybüke Öztürk; Stéphane Lallich; Jérôme Darmont (AIAI, 2018)

MaxMin Linear Initialization for Fuzzy C-Means. - Aybüke Öztürk; Stéphane Lallich; Jérôme Darmont; Sylvie Yona Waksman (MLDM (1), 2018)

What to expect from a set of itemsets? - Thomas Delacroix; Philippe Lenca; Stéphane Lallich (Inf. Sci., 2022)