Nicolas Labroche

According to our database, Nicolas Labroche authored at least 68 papers between 2002 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Effective data exploration through clustering of local attributive explanations.

Elodie Escriva, Tom Lefrere, Manon Martin, Julien Aligon, Alexandre Chanson, Jean-Baptiste Excoffier, Nicolas Labroche, Chantal Soulé-Dupuy, Paul Monsarrat

Inf. Syst., 2025

2024

Comparison Queries Generation Using Mathematical Programming for Exploratory Data Analysis.

Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Vincent T'kindt

IEEE Trans. Knowl. Data Eng., December, 2024

Interestingness Measures for Exploratory Data Analysis: a Survey.

Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Panos Vassiliadis

Proceedings of the New Trends in Database and Information Systems, 2024

2023

Pairwise Loss Regularization for Recommendations Explanation.

Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Willeme Verdeaux

Proceedings of the 25th International Workshop on Design, 2023

Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium.

Adam Przybylek, Aleksandra Karpus, Allel Hadjali, Anton Dignös, Carmem S. Hara, Danae Pla Karidi, Ester Zumpano, Fabio Persia, Genoveva Vargas-Solar, George Papastefanatos, Giancarlo Sperlì, Giorgos Giannopoulos, Ivan Lukovic, Julien Aligon, Manolis Terrovitis, Marek Grzegorowski, Mariella Bonomo, Mirian Halfeld Ferrari Alves, Nicolas Labroche, Paul Monsarrat, Richard Chbeir, Sana Sellami, Seshu Tirupathi, Simona E. Rombo, Slavica Kordic, Sonja Ristic, Tommaso Di Noia, Torben Bach Pedersen, Vincenzo Moscato

Proceedings of the New Trends in Database and Information Systems, 2023

2022

Diversity and Inclusion Activities in EGC - A 2022 Report.

Sihem Amer-Yahia, Angela Bonifati, Cécile Favre, Élisa Fromont, Nicolas Labroche, Guy Melançon, Florence Sèdes, Arnaud Soulet, Alexandre Termier

SIGKDD Explor., 2022

Preference-based and local post-hoc explanations for recommender systems.

Léo Brunot, Nicolas Canovas, Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux

Inf. Syst., 2022

A new reference-based algorithm based on non-euclidean geometry for multi-stakeholder media planning.

Fodil Benali, Damien Bodénès, Cyril de Runz, Nicolas Labroche

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

An enhanced adaptive geometry evolutionary algorithm using stochastic diversity mechanism.

Fodil Benali, Damien Bodénès, Cyril De Runz, Nicolas Labroche

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

MTCopula: Génération de données synthétiques et complexes basées sur les Copules.

Fodil Benali, Damien Bodénès, Nicolas Labroche, Cyril de Runz

Proceedings of the Extraction et Gestion des Connaissances, 2022

Modeling Lifelong Pathway Co-construction.

Nicolas Ringuet, Patrick Marcel, Nicolas Labroche, Thomas Devogele, Christophe Bortolaso

Proceedings of the Conceptual Modeling - 41st International Conference, 2022

Automatic generation of comparison notebooks for interactive data exploration.

Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Stefano Rizzi, Vincent T'kindt

Proceedings of the 25th International Conference on Extending Database Technology, 2022

Generating Personalized Data Narrations from EDA Notebooks.

Alexandre Chanson, Faten El Outa, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux, Lucile Jacquemart

Proceedings of the 24th International Workshop on Design, 2022

Experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction.

Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche, Abel Henriot

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021

An Enhanced R-NSGA-II For Multiple Brands Advertising Campaign Allocation Problem.

Fodil Benali, Damien Bodénès, Cyril De Runz, Nicolas Labroche

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Towards Local Post-hoc Recommender Systems Explanations.

Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux

Proceedings of the 23rd International Workshop on Design, 2021

MTCopula: Synthetic Complex Data Generation Using Copula.

Fodil Benali, Damien Bodenes, Nicolas Labroche, Cyril de Runz

Proceedings of the 23rd International Workshop on Design, 2021

A Chain Composite Item Recommender for Lifelong Pathways.

Alexandre Chanson, Thomas Devogele, Nicolas Labroche, Patrick Marcel, Nicolas Ringuet, Vincent T'kindt

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020

MAPK-means: A clustering algorithm with quantitative preferences on attributes.

Adnan El Moussawi, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet

Intell. Data Anal., 2020

To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features.

Caroline Pasquer, Agata Savary, Jean-Yves Antoine, Carlos Ramisch, Nicolas Labroche, Arnaud Giacometti

CoRR, 2020

Recommandations basées sur les centres d'intérêts utilisateurs en Business Intelligence.

Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta

Proceedings of the Actes du XXXVIIIème Congrès INFORSID, Dijon, France, June 2-4, 2020., 2020

Causality based explanations in multi-stakeholder recommendations.

Willeme Verdeaux, Clément Moreau, Nicolas Labroche, Patrick Marcel

Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

The Traveling Analyst Problem: Definition and Preliminary Study.

Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Stefano Rizzi, Panos Vassiliadis

Proceedings of the 22nd International Workshop on Design, 2020

2019

Interest-based recommendations for business intelligence users.

Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta

Inf. Syst., 2019

Automatic assessment of interactive OLAP explorations.

Mahfoud Djedaini, Krista Drushku, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux

Inf. Syst., 2019

A Subjective Interestingness measure for Business Intelligence explorations.

Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel

CoRR, 2019

Towards a Benefit-based Optimizer for Interactive Data Analysis.

Patrick Marcel, Nicolas Labroche, Panos Vassiliadis

Proceedings of the 21st International Workshop on Design, 2019

Profiling User Belief in BI Exploration for Measuring Subjective Interestingness.

Alexandre Chanson, Ben Crulis, Krista Drushku, Nicolas Labroche, Patrick Marcel

Proceedings of the 21st International Workshop on Design, 2019

2018

Semi-supervised Fuzzy c-Means Variants: A Study on Noisy Label Supervision.

Violaine Antoine, Nicolas Labroche

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

Can Models Learned from a Dataset Reflect Acquisition of Procedural Knowledge? An Experiment with Automatic Measurement of Online Review Quality.

Martina Megasari, Pandu Wicaksono, Chiao Yun Li, Clément Chaussade, Shibo Cheng, Nicolas Labroche, Patrick Marcel, Verónika Peralta

Proceedings of the 20th International Workshop on Design, 2018

On Evidential Clustering with Partial Supervision.

Violaine Antoine, Kévin Gravouil, Nicolas Labroche

Proceedings of the Belief Functions: Theory and Applications, 2018

2017

Active seed selection for constrained clustering.

Viet-Vu Vu, Nicolas Labroche

Intell. Data Anal., 2017

Prototype de clustering exploratoire pour l'aide à la segmentation des clients.

Adnan El Moussawi, Philippe De Guis, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet

Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

A benchmark for assessing OLAP exploration assistants.

Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Verónika Peralta

Proceedings of the Actes des 13èmes journées francophones sur les Entrepôts de Données et l'Analyse en Ligne, 2017

User Interests Clustering in Business Intelligence Interactions.

Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Bruno Dumant

Proceedings of the Advanced Information Systems Engineering, 2017

Detecting User Focus in OLAP Analyses.

Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Verónika Peralta

Proceedings of the Advances in Databases and Information Systems, 2017

2016

Benchmarking Exploratory OLAP.

Mahfoud Djedaini, Pedro Furtado, Nicolas Labroche, Patrick Marcel, Verónika Peralta

Proceedings of the Performance Evaluation and Benchmarking. Traditional - Big Data - Interest of Things, 2016

Clustering with Quantitative User Preferences on Attributes.

Adnan El Moussawi, Ahmed Cheriat, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Clustering par apprentissage de distance guidé par des préférences sur les attributs.

Adnan El Moussawi, Ahmed Cheriat, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet

Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

2015

Resources Sequencing Using Automatic Prerequisite-Outcome Annotation.

Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier

ACM Trans. Intell. Syst. Technol., 2015

Classification évidentielle avec contraintes d'étiquettes.

Violaine Antoine, Nicolas Labroche

Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

Materializing Baseline Views for Deviation Detection Exploratory OLAP.

Pedro Furtado, Sergi Nadal, Verónika Peralta, Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

2014

Online fuzzy medoid based clustering algorithms.

Nicolas Labroche

Neurocomputing, 2014

Evidential seed-based semi-supervised clustering.

Violaine Antoine, Nicolas Labroche, Viet-Vu Vu

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Comparaison de bornes théoriques pour l'accélération du clustering incrémental en une passe.

Nicolas Labroche, Marcin Detyniecki, Thomas Bärecke

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

2013

Accelerating One-Pass Clustering by Cluster Selection Racing.

Nicolas Labroche, Marcin Detyniecki, Thomas Bärecke

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

SNOW, un algorithme exploratoire pour le subspace clustering.

Sylvain Dormieu, Nicolas Labroche

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

2012

Improving constrained clustering with active query selection.

Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier

Pattern Recognit., 2012

Content Independent Metadata Production as a Machine Learning Problem.

Sahar Changuel, Nicolas Labroche

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Méthodes d'apprentissage automatique pour l'analyse des interactions utilisateurs. (Machine learning methods for the analysis of user interactions).

Nicolas Labroche

, 2012

2011

Distinguishing defined concepts from prerequisite concepts in learning resources.

Sahar Changuel, Nicolas Labroche

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010

Optimization of a fuzzy decision trees forest with artificial ant based clustering.

Nicolas Labroche, Christophe Marsala

Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

Automatic concept type identification from learning resources.

Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier

Proceedings of the International Joint Conference on Neural Networks, 2010

Active Learning for Semi-Supervised K-Means Clustering.

Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier

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

An Efficient Active Constraint Selection Algorithm for Clustering.

Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Boosting Clustering by Active Constraint Selection.

Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier

Proceedings of the ECAI 2010, 2010

2009

Leader Ant Clustering with Constraints.

Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier

Proceedings of the 2009 IEEE International Conference on Computing and Communication Technologies, 2009

A General Learning Method for Automatic Title Extraction from HTML Pages.

Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Automatic Web Pages Author Extraction.

Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier

Proceedings of the Flexible Query Answering Systems, 8th International Conference, 2009

2008

Analyse et visualisation interactive de sessions web.

Marie-Jeanne Lesot, Nicolas Labroche, Lionel Yaffi

Rev. d'Intelligence Artif., 2008

2007

A New Web Usage Mining and Visualization Tool.

Nicolas Labroche, Marie-Jeanne Lesot, Lionel Yaffi

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

2005

Mesure d'audience sur Internet par populations de fourmis artificielles.

Nicolas Labroche

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

2004

Fast Unsupervised Clustering with Artificial Ants.

Nicolas Labroche, Christiane Guinot, Gilles Venturini

Proceedings of the Parallel Problem Solving from Nature, 2004

2003

Modélisation du système de reconnaissance chimique des fourmis pour le problème de la classification non-supervisée : application à la mesure d'audience sur Internet. (Modelling of the chemical recognition system of ants for the unsupervised classification problem : application to web usage mining).

Nicolas Labroche

PhD thesis, 2003

Web Sessions Clustering with Artificial Ants Colonies.

Nicolas Labroche, Nicolas Monmarché, Gilles Venturini

Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

Visual Clustering with Artificial Ants Colonies.

Nicolas Labroche, Nicolas Monmarché, Gilles Venturini

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

AntClust: Ant Clustering and Web Usage Mining.

Nicolas Labroche, Nicolas Monmarché, Gilles Venturini

Proceedings of the Genetic and Evolutionary Computation, 2003

2002

A new clustering algorithm based on the ants chemical recognition system.

Nicolas Labroche, Nicolas Monmarché, Gilles Venturini

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