Nicolas Labroche

77 papers A 7B 9C 14Misc 1Journal 17Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Challenges of Explainability in Continual Learning for Time Series Forecasting. EDBT/ICDT Workshops Quentin Besnard, Emmanuel Doumard, Nicolas Labroche, Nicolas Ragot, Nicolas Ringuet
2025	—	`conf`	COTLEA: COpula-based Transfer Learning Evolutionary Algorithm for Multi-Objective Optimization Problems. GECCO Companion Fodil Benali, Cyril De Runz, Nicolas Labroche, Hicham Elmokhtari
2025	J	`jnl`	Effective data exploration through clustering of local attributive explanations. Inf. Syst. Elodie Escriva, Tom Lefrere, Manon Martin, Julien Aligon, Alexandre Chanson, Jean-Baptiste Excoffier, Nicolas Labroche, Chantal Soulé-Dupuy, Paul Monsarrat
2025	C	`conf`	Exploring Local Feature Influences with Hierarchical Explanation Trees. ADBIS Emmanuel Doumard, Julien Aligon, Paul Monsarrat, Nicolas Labroche, Alexandre Chanson
2025	J	`jnl`	Extracting node comparison insights for the interactive exploration of property graphs. CoRR Cristina Dutra Aguiar, Jacques Chabin, Alexandre Chanson, Mirian Halfeld Ferrari Alves, Nicolas Hiot, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Felipe Vasconcelos
2025	C	`conf`	Finding comparison insights in multidimensional datasets. DOLAP Patrick Marcel, Claire Antoine, Alexandre Chanson, Nicolas Labroche
2025	—	`conf`	Implémentation de réseaux récurrents pour la détection d'événements inattendus. EGC Thomas Kastner, Hubert Cardot, Dominique H. Li, Nicolas Labroche
2025	C	`conf`	Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis. ADBIS Guillaume Tejedor, Verónika Peralta, Nicolas Labroche, Patrick Marcel, Hélène Blasco, Hugo Alarcan
2025	J	`jnl`	Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis. CoRR Guillaume Tejedor, Verónika Peralta, Nicolas Labroche, Patrick Marcel, Hélène Blasco, Hugo Alarcan
2024	J	`jnl`	Comparison Queries Generation Using Mathematical Programming for Exploratory Data Analysis. IEEE Trans. Knowl. Data Eng. Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Vincent T'kindt
2024	—	`conf`	Interestingness Measures for Exploratory Data Analysis: a Survey. ADBIS (Short Papers) Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Panos Vassiliadis
2023	—	`conf`	Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium. ADBIS (Short Papers) 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
2023	C	`conf`	Pairwise Loss Regularization for Recommendations Explanation. DOLAP Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Willeme Verdeaux
2022	Misc	`conf`	A new reference-based algorithm based on non-euclidean geometry for multi-stakeholder media planning. SAC Fodil Benali, Damien Bodénès, Cyril De Runz, Nicolas Labroche
2022	A	`conf`	An enhanced adaptive geometry evolutionary algorithm using stochastic diversity mechanism. GECCO Fodil Benali, Damien Bodénès, Cyril De Runz, Nicolas Labroche
2022	B	`conf`	Automatic generation of comparison notebooks for interactive data exploration. EDBT Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Stefano Rizzi, Vincent T'kindt
2022	J	`jnl`	Diversity and Inclusion Activities in EGC - A 2022 Report. SIGKDD Explor. Sihem Amer-Yahia, Angela Bonifati, Cécile Favre, Élisa Fromont, Nicolas Labroche, Guy Melançon, Florence Sèdes, Arnaud Soulet, Alexandre Termier
2022	—	`conf`	Experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction. AALTD@ECML/PKDD Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche, Abel Henriot
2022	J	`jnl`	Experimental study of time series forecasting methods for groundwater level prediction. CoRR Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche, Abel Henriot
2022	C	`conf`	Generating Personalized Data Narrations from EDA Notebooks. DOLAP Alexandre Chanson, Faten El Outa, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux, Lucile Jacquemart
2022	—	`conf`	MTCopula: Génération de données synthétiques et complexes basées sur les Copules. EGC Fodil Benali, Damien Bodénès, Nicolas Labroche, Cyril De Runz
2022	A	`conf`	Modeling Lifelong Pathway Co-construction. ER Nicolas Ringuet, Patrick Marcel, Nicolas Labroche, Thomas Devogele, Christophe Bortolaso
2022	J	`jnl`	Preference-based and local post-hoc explanations for recommender systems. Inf. Syst. Léo Brunot, Nicolas Canovas, Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux
2021	B	`conf`	A Chain Composite Item Recommender for Lifelong Pathways. DaWaK Alexandre Chanson, Thomas Devogele, Nicolas Labroche, Patrick Marcel, Nicolas Ringuet, Vincent T'kindt
2021	B	`conf`	An Enhanced R-NSGA-II For Multiple Brands Advertising Campaign Allocation Problem. ICTAI Fodil Benali, Damien Bodénès, Cyril De Runz, Nicolas Labroche
2021	C	`conf`	MTCopula: Synthetic Complex Data Generation Using Copula. DOLAP Fodil Benali, Damien Bodenes, Nicolas Labroche, Cyril De Runz
2021	C	`conf`	Towards Local Post-hoc Recommender Systems Explanations. DOLAP Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux
2020	—	`conf`	Causality based explanations in multi-stakeholder recommendations. EDBT/ICDT Workshops Willeme Verdeaux, Clément Moreau, Nicolas Labroche, Patrick Marcel
2020	J	`jnl`	MAPK-means: A clustering algorithm with quantitative preferences on attributes. Intell. Data Anal. Adnan El Moussawi, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet
2020	—	`conf`	Recommandations basées sur les centres d'intérêts utilisateurs en Business Intelligence. INFORSID Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta
2020	C	`conf`	The Traveling Analyst Problem: Definition and Preliminary Study. DOLAP Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Stefano Rizzi, Panos Vassiliadis
2020	J	`jnl`	To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features. CoRR Caroline Pasquer, Agata Savary, Jean-Yves Antoine, Carlos Ramisch, Nicolas Labroche, Arnaud Giacometti
2019	J	`jnl`	A Subjective Interestingness measure for Business Intelligence explorations. CoRR Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel
2019	J	`jnl`	Automatic assessment of interactive OLAP explorations. Inf. Syst. Mahfoud Djedaini, Krista Drushku, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux
2019	J	`jnl`	Interest-based recommendations for business intelligence users. Inf. Syst. Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta
2019	C	`conf`	Profiling User Belief in BI Exploration for Measuring Subjective Interestingness. DOLAP Alexandre Chanson, Ben Crulis, Krista Drushku, Nicolas Labroche, Patrick Marcel
2019	C	`conf`	Towards a Benefit-based Optimizer for Interactive Data Analysis. DOLAP Patrick Marcel, Nicolas Labroche, Panos Vassiliadis
2018	C	`conf`	Can Models Learned from a Dataset Reflect Acquisition of Procedural Knowledge? An Experiment with Automatic Measurement of Online Review Quality. DOLAP Martina Megasari, Pandu Wicaksono, Chiao Yun Li, Clément Chaussade, Shibo Cheng, Nicolas Labroche, Patrick Marcel, Verónika Peralta
2018	—	`conf`	On Evidential Clustering with Partial Supervision. BELIEF Violaine Antoine, Kévin Gravouil, Nicolas Labroche
2018	—	`conf`	Semi-supervised Fuzzy c-Means Variants: A Study on Noisy Label Supervision. IPMU (2) Violaine Antoine, Nicolas Labroche
2017	—	`conf`	A benchmark for assessing OLAP exploration assistants. EDA Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Verónika Peralta
2017	J	`jnl`	Active seed selection for constrained clustering. Intell. Data Anal. Viet-Vu Vu, Nicolas Labroche
2017	C	`conf`	Detecting User Focus in OLAP Analyses. ADBIS Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Verónika Peralta
2017	—	`conf`	Prototype de clustering exploratoire pour l'aide à la segmentation des clients. EGC Adnan El Moussawi, Philippe De Guis, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet
2017	A	`conf`	User Interests Clustering in Business Intelligence Interactions. CAiSE Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Bruno Dumant
2016	—	`conf`	Benchmarking Exploratory OLAP. TPCTC Mahfoud Djedaini, Pedro Furtado, Nicolas Labroche, Patrick Marcel, Verónika Peralta
2016	—	`conf`	Clustering par apprentissage de distance guidé par des préférences sur les attributs. EGC Adnan El Moussawi, Ahmed Cheriat, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet
2016	B	`conf`	Clustering with Quantitative User Preferences on Attributes. ICTAI Adnan El Moussawi, Ahmed Cheriat, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet
2015	—	`conf`	Classification évidentielle avec contraintes d'étiquettes. EGC Violaine Antoine, Nicolas Labroche
2015	B	`conf`	Materializing Baseline Views for Deviation Detection Exploratory OLAP. DaWaK Pedro Furtado, Sergi Nadal, Verónika Peralta, Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel
2015	J	`jnl`	Resources Sequencing Using Automatic Prerequisite-Outcome Annotation. ACM Trans. Intell. Syst. Technol. Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier
2014	—	`conf`	Comparaison de bornes théoriques pour l'accélération du clustering incrémental en une passe. EGC Nicolas Labroche, Marcin Detyniecki, Thomas Bärecke
2014	—	`conf`	Evidential seed-based semi-supervised clustering. SCIS&ISIS Violaine Antoine, Nicolas Labroche, Viet-Vu Vu
2014	J	`jnl`	Online fuzzy medoid based clustering algorithms. Neurocomputing Nicolas Labroche
2013	B	`conf`	Accelerating One-Pass Clustering by Cluster Selection Racing. ICTAI Nicolas Labroche, Marcin Detyniecki, Thomas Bärecke
2013	—	`conf`	SNOW, un algorithme exploratoire pour le subspace clustering. EGC Sylvain Dormieu, Nicolas Labroche
2012	—	`conf`	Content Independent Metadata Production as a Machine Learning Problem. MLDM Sahar Changuel, Nicolas Labroche
2012	J	`jnl`	Improving constrained clustering with active query selection. Pattern Recognit. Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier
2012	—	`book`	Méthodes d'apprentissage automatique pour l'analyse des interactions utilisateurs. (Machine learning methods for the analysis of user interactions). Nicolas Labroche
2011	C	`conf`	Distinguishing defined concepts from prerequisite concepts in learning resources. CIDM Sahar Changuel, Nicolas Labroche
2010	—	`conf`	Active Learning for Semi-Supervised K-Means Clustering. ICTAI (1) Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier
2010	B	`conf`	An Efficient Active Constraint Selection Algorithm for Clustering. ICPR Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier
2010	B	`conf`	Automatic concept type identification from learning resources. IJCNN Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier
2010	A	`conf`	Boosting Clustering by Active Constraint Selection. ECAI Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier
2010	—	`conf`	Optimization of a fuzzy decision trees forest with artificial ant based clustering. SoCPaR Nicolas Labroche, Christophe Marsala
2009	—	`conf`	A General Learning Method for Automatic Title Extraction from HTML Pages. MLDM Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier
2009	C	`conf`	Automatic Web Pages Author Extraction. FQAS Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier
2009	—	`conf`	Leader Ant Clustering with Constraints. RIVF Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier
2008	J	`jnl`	Analyse et visualisation interactive de sessions web. Rev. d'Intelligence Artif. Marie-Jeanne Lesot, Nicolas Labroche, Lionel Yaffi
2007	—	`conf`	A New Web Usage Mining and Visualization Tool. ICTAI (1) Nicolas Labroche, Marie-Jeanne Lesot, Lionel Yaffi
2005	—	`conf`	Mesure d'audience sur Internet par populations de fourmis artificielles. EGC (Ateliers) Nicolas Labroche
2004	A	`conf`	Fast Unsupervised Clustering with Artificial Ants. PPSN Nicolas Labroche, Christiane Guinot, Gilles Venturini
2003	A	`conf`	AntClust: Ant Clustering and Web Usage Mining. GECCO Nicolas Labroche, Nicolas Monmarché, Gilles Venturini
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
2003	B	`conf`	Visual Clustering with Artificial Ants Colonies. KES Nicolas Labroche, Nicolas Monmarché, Gilles Venturini
2003	—	`conf`	Web Sessions Clustering with Artificial Ants Colonies. WWW (Posters) Nicolas Labroche, Nicolas Monmarché, Gilles Venturini
2002	A	`conf`	A new clustering algorithm based on the ants chemical recognition system. ECAI Nicolas Labroche, Nicolas Monmarché, Gilles Venturini