Christel Vrain

CoRR, 2024

2023

Time series classification with Shapelets: Application to predictive maintenance on event logs. (Classification de séries temporelles avec les Shapelets : application à la maintenance prédictive via journaux d'événements).

[BibT_eX]

[DOI]

PhD thesis, 2023

KGIC : Intégration de graphe de connaissances pour la classification d'images.

[BibT_eX]

[DOI]

Proceedings of the Extraction et Gestion des Connaissances, 2023

Incremental Constrained Clustering by Minimal Weighted Modification.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

2022

Knowledge Integration in Deep Clustering.

[BibT_eX]

[DOI]

Nguyen-Viet-Dung Nghiem

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Anchored Constrained Clustering Ensemble.

[BibT_eX]

[DOI]

Mathieu Guilbert

Marcilio C. P. de Souto

Proceedings of the International Joint Conference on Neural Networks, 2022

Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

2021

Convolutional Shapelet Transform: A new approach for time series shapelets.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Time series classification for predictive maintenance on event logs.

[BibT_eX]

[DOI]

CoRR, 2020

Post-traitement pour la classification probabiliste non supervisée sous contraintes.

[BibT_eX]

[DOI]

Nguyen-Viet-Dung Nghiem

Ian Davidson

Proceedings of the Extraction et Gestion des Connaissances, 2020

Constrained Clustering via Post-processing.

[BibT_eX]

[DOI]

Nguyen-Viet-Dung Nghiem

Ian Davidson

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

Constrained Distance-Based Clustering for Satellite Image Time-Series.

[BibT_eX]

[DOI]

Thomas Andrew Lampert

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018.

[BibT_eX]

[DOI]

Mach. Learn., 2019

From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group).

[BibT_eX]

[DOI]

CoRR, 2019

2018

MapFIM+: Memory Aware Parallelized Frequent Itemset Mining In Very Large Datasets.

[BibT_eX]

[DOI]

Trans. Large Scale Data Knowl. Centered Syst., 2018

Constrained distance based clustering for time-series: a comparative and experimental study.

[BibT_eX]

[DOI]

Thomas Andrew Lampert

Data Min. Knowl. Discov., 2018

Descriptive Clustering: ILP and CP Formulations with Applications.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Constrained clustering by constraint programming.

[BibT_eX]

[DOI]

Artif. Intell., 2017

A Framework for Minimal Clustering Modification via Constraint Programming.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Repetitive Branch-and-Bound Using Constraint Programming for Constrained Minimum Sum-of-Squares Clustering.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

A Framework for Actionable Clustering Using Constraint Programming.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Learning Characteristic Rules in Geographic Information Systems.

[BibT_eX]

[DOI]

Ansaf Salleb-Aouissi

Daniel Cassard

Proceedings of the Rule Technologies: Foundations, Tools, and Applications, 2015

Constrained Minimum Sum of Squares Clustering by Constraint Programming.

[BibT_eX]

[DOI]

Proceedings of the Principles and Practice of Constraint Programming, 2015

2014

Un nouveau modèle pour la classification non supervisée sous contraintes.

[BibT_eX]

[DOI]

Rev. d'Intelligence Artif., 2014

Apprentissage non supervisé de dépendances syntaxiques à partir de texte étiqueté, plusieurs variantes de PCFG légères.

[BibT_eX]

[DOI]

Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

2013

QuantMiner for mining quantitative association rules.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

Learning a Markov Logic network for supervised gene regulatory network inference.

[BibT_eX]

[DOI]

BMC Bioinform., 2013

A Declarative Framework for Constrained Clustering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

A Filtering Algorithm for Constrained Clustering with Within-Cluster Sum of Dissimilarities Criterion.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Une approche en programmation par contraintes pour la classification non supervisée.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

2012

A Link-Based Method for Propositionalization.

[BibT_eX]

[DOI]

Proceedings of the Late Breaking Papers of the 22nd International Conference on Inductive Logic Programming, 2012

2011

Generative Structure Learning for Markov Logic Networks Based on Graph of Predicates.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Apprentissage génératif de la structure de réseaux logiques de Markov à partir d'un graphe des prédicats.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010

Generative Structure Learning for Markov Logic Networks.

[BibT_eX]

[DOI]

Proceedings of the STAIRS 2010, 2010

Learning Discriminant Rules as a Minimal Saturation Search.

[BibT_eX]

[DOI]

Matthieu Lopez

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

On Learning Constraint Problems.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Heuristic Method for Discriminative Structure Learning of Markov Logic Networks.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Discriminative Markov Logic Network Structure Learning Based on Propositionalization and <i>chi</i><sup>2</sup>-Test.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

Abstracting Markov Networks.

[BibT_eX]

[DOI]

Proceedings of the Abstraction, 2010

2008

A Comparison between Two Statistical Relational Models.

[BibT_eX]

[DOI]

Lorenza Saitta

Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

2007

On the Discovery of Exception Rules: A Survey.

[BibT_eX]

[DOI]

Béatrice Duval

Proceedings of the Quality Measures in Data Mining, 2007

A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases.

[BibT_eX]

[DOI]

Ansaf Salleb-Aouissi

Fundam. Informaticae, 2007

QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules.

[BibT_eX]

[DOI]

Ansaf Salleb-Aouissi

Cyril Nortet

Proceedings of the IJCAI 2007, 2007

2006

A Proximity Measure and a Clustering Method for Concept Extraction in an Ontology Building Perspective.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Structuring Natural Language Data by Learning Rewriting Rules.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

Une mesure de proximité et une méthode de regroupement pour l'aide à l'acquisition d'ontologies spécialisées.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

2005

Estimation of the Density of Datasets with Decision Diagrams.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

Le rôle de l'utilisateur dans un processus d'extraction de règles d'association.

[BibT_eX]

[DOI]

Proceedings of the Extraction des connaissances : Etat et perspectives (Ateliers de la conférence EGC'2005), 2005

Extraction de règles d'association quantitatives - Application à des données médicales.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

2004

DDOC: Overlapping Clustering of Words for Document Classification.

[BibT_eX]

[DOI]

Proceedings of the String Processing and Information Retrieval, 2004

BoolLoader : un chargeur efficace dédié aux bases de transactions denses.

[BibT_eX]

[DOI]

Zahir Maazouzi

Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

PoBOC : un algorithme de "soft-clustering". Applications à l'apprentissage de règles et au traitement de données textuelles.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

PoBOC: An Overlapping Clustering Algorithm, Application to Rule-Based Classification and Textual Data.

[BibT_eX]

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003

Learning Characteristic Rules Relying on Quantified Paths.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Disjunctive Learning with a Soft-Clustering Method.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

Apprentissage de règles caractéristiques.

[BibT_eX]

Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

2002

Mining maximal frequent itemsets by a boolean approach.

[BibT_eX]

Zahir Maazouzi

Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001

Cartographie de Textes: Une aide à l'utilisateur dans le cadre de la découverte de nouveaux domaines.

[BibT_eX]

[DOI]

Isabelle Debourges

Sylvie Guilloré-Billot

Proceedings of the Actes de la 8ème conférence sur le Traitement Automatique des Langues Naturelles. Posters, 2001

A Genetic Algorithm for Propositionalization.

[BibT_eX]

[DOI]

Agnès Braud

Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

2000

An Application of Association Rules Discovery to Geographic Information Systems.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Mining Relational Databases.

[BibT_eX]

[DOI]

Frédéric Moal

Teddy Turmeaux

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Composition of Biasses of Inductive Logic Programming.

[BibT_eX]

[DOI]

Frédéric Moal

Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

1999

Learning in Constraint Databases.

[BibT_eX]

[DOI]

Teddy Turmeaux

Proceedings of the Discovery Science, 1999

1998

A Relational Data Mining Tool Based On Genetic Programming.

[BibT_eX]

[DOI]

Frédéric Moal

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

1997

Efficient Induction of Numerical Constraints.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

Systematic Predicate Invention in Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

Learning Linear Constraints in Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-97, 1997

1996

Learning Query Rules for Optimizing Databases with Update Rules.

[BibT_eX]

[DOI]

Dominique Laurent

Proceedings of the Logic in Databases, 1996

Hierarchical Conceptual Clustering in a First Order Representation.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

Induction of Constraint Logic Programs.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 7th International Workshop, 1996

1995

Apprentissage de Règles et Bases de Données Déductives.

[BibT_eX]

Dominique Laurent

Proceedings of the Onzièmes Journées Bases de Données Avancées, 29 Août, 1995

1994

Inductive Learning of Normal Clauses.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-94, 1994

1992

Building a Tool for Software Code Analysis: A Machine Learning Approach.

[BibT_eX]

[DOI]

Gilles Fouqué

Proceedings of the Advanced Information Systems Engineering, 1992

1988

An Analogical Method to do Incremental Learning of Concepts.

[BibT_eX]

Cheng-Ren Lu

Proceedings of the Third European Working Session on Learning, 1988

1987

The Use of Analogy in Incremental SBL.

[BibT_eX]

[DOI]