Nicolas Labroche

ORCID

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 37

Top Venues

François Rabelais University, Tours, France (PHD)

Education History

François Rabelais University, Tours, France

PHD

Publications

Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Willeme Verdeaux
Pairwise Loss Regularization for Recommendations Explanation. DOLAP (2023)
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
Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium. ADBIS (Short Papers) (2023)
Sihem Amer-Yahia, Angela Bonifati, Cécile Favre, Élisa Fromont, Nicolas Labroche, Guy Melançon, Florence Sèdes, Arnaud Soulet, Alexandre Termier
Diversity and Inclusion Activities in EGC - A 2022 Report. SIGKDD Explor. 24 (1) (2022)
Fodil Benali, Damien Bodénès, Cyril de Runz, Nicolas Labroche
A new reference-based algorithm based on non-euclidean geometry for multi-stakeholder media planning. SAC (2022)
Nicolas Ringuet, Patrick Marcel, Nicolas Labroche, Thomas Devogele, Christophe Bortolaso
Modeling Lifelong Pathway Co-construction. ER (2022)
Léo Brunot, Nicolas Canovas, Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux
Preference-based and local post-hoc explanations for recommender systems. Inf. Syst. 108 (2022)
Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Stefano Rizzi, Vincent T'kindt
Automatic generation of comparison notebooks for interactive data exploration. EDBT (2022)
Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche, Abel Henriot
Experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction. AALTD@ECML/PKDD (2022)
Fodil Benali, Damien Bodénès, Cyril De Runz, Nicolas Labroche
An enhanced adaptive geometry evolutionary algorithm using stochastic diversity mechanism. GECCO (2022)
Fodil Benali, Damien Bodénès, Nicolas Labroche, Cyril de Runz
MTCopula: Génération de données synthétiques et complexes basées sur les Copules. EGC (2022)
Alexandre Chanson, Faten El Outa, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux, Lucile Jacquemart
Generating Personalized Data Narrations from EDA Notebooks. DOLAP (2022)
Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche, Abel Henriot
Experimental study of time series forecasting methods for groundwater level prediction. CoRR (2022)
Fodil Benali, Damien Bodenes, Nicolas Labroche, Cyril de Runz
MTCopula: Synthetic Complex Data Generation Using Copula. DOLAP (2021)
Alexandre Chanson, Thomas Devogele, Nicolas Labroche, Patrick Marcel, Nicolas Ringuet, Vincent T'kindt
A Chain Composite Item Recommender for Lifelong Pathways. DaWaK (2021)
Fodil Benali, Damien Bodénès, Cyril De Runz, Nicolas Labroche
An Enhanced R-NSGA-II For Multiple Brands Advertising Campaign Allocation Problem. ICTAI (2021)
Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux
Towards Local Post-hoc Recommender Systems Explanations. DOLAP (2021)
Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta
Recommandations basées sur les centres d'intérêts utilisateurs en Business Intelligence. INFORSID (2020)
Caroline Pasquer, Agata Savary, Jean-Yves Antoine, Carlos Ramisch, Nicolas Labroche, Arnaud Giacometti
To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features. CoRR (2020)
Adnan El Moussawi, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet
MAPK-means: A clustering algorithm with quantitative preferences on attributes. Intell. Data Anal. 24 (2) (2020)
Willeme Verdeaux, Clément Moreau, Nicolas Labroche, Patrick Marcel
Causality based explanations in multi-stakeholder recommendations. EDBT/ICDT Workshops (2020)
Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Stefano Rizzi, Panos Vassiliadis
The Traveling Analyst Problem: Definition and Preliminary Study. DOLAP (2020)
Patrick Marcel, Nicolas Labroche, Panos Vassiliadis
Towards a Benefit-based Optimizer for Interactive Data Analysis. DOLAP (2019)
Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta
Interest-based recommendations for business intelligence users. Inf. Syst. 86 (2019)
Mahfoud Djedaini, Krista Drushku, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux
Automatic assessment of interactive OLAP explorations. Inf. Syst. 82 (2019)
Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel
A Subjective Interestingness measure for Business Intelligence explorations. CoRR (2019)
Alexandre Chanson, Ben Crulis, Krista Drushku, Nicolas Labroche, Patrick Marcel
Profiling User Belief in BI Exploration for Measuring Subjective Interestingness. DOLAP (2019)
Violaine Antoine, Kévin Gravouil, Nicolas Labroche
On Evidential Clustering with Partial Supervision. BELIEF (2018)
Violaine Antoine, Nicolas Labroche
Semi-supervised Fuzzy c-Means Variants: A Study on Noisy Label Supervision. IPMU (2) (2018)
Martina Megasari, Pandu Wicaksono, Chiao Yun Li, Clément Chaussade, Shibo Cheng, Nicolas Labroche, Patrick Marcel, Verónika Peralta
Can Models Learned from a Dataset Reflect Acquisition of Procedural Knowledge? An Experiment with Automatic Measurement of Online Review Quality. DOLAP (2018)
Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Verónika Peralta
A benchmark for assessing OLAP exploration assistants. EDA (2017)
Viet-Vu Vu, Nicolas Labroche
Active seed selection for constrained clustering. Intell. Data Anal. 21 (3) (2017)
Adnan El Moussawi, Philippe De Guis, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet
Prototype de clustering exploratoire pour l'aide à la segmentation des clients. EGC (2017)
Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Bruno Dumant
User Interests Clustering in Business Intelligence Interactions. CAiSE (2017)
Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Verónika Peralta
Detecting User Focus in OLAP Analyses. ADBIS (2017)
Adnan El Moussawi, Ahmed Cheriat, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet
Clustering par apprentissage de distance guidé par des préférences sur les attributs. EGC (2016)
Adnan El Moussawi, Ahmed Cheriat, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet
Clustering with Quantitative User Preferences on Attributes. ICTAI (2016)
Mahfoud Djedaini, Pedro Furtado, Nicolas Labroche, Patrick Marcel, Verónika Peralta
Benchmarking Exploratory OLAP. TPCTC (2016)
Violaine Antoine, Nicolas Labroche
Classification évidentielle avec contraintes d'étiquettes. EGC (2015)
Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier
Resources Sequencing Using Automatic Prerequisite-Outcome Annotation. ACM Trans. Intell. Syst. Technol. 6 (1) (2015)
Pedro Furtado, Sergi Nadal, Verónika Peralta, Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel
Materializing Baseline Views for Deviation Detection Exploratory OLAP. DaWaK (2015)
Nicolas Labroche
Online fuzzy medoid based clustering algorithms. Neurocomputing 126 (2014)
Nicolas Labroche, Marcin Detyniecki, Thomas Bärecke
Comparaison de bornes théoriques pour l'accélération du clustering incrémental en une passe. EGC (2014)
Violaine Antoine, Nicolas Labroche, Viet-Vu Vu
Evidential seed-based semi-supervised clustering. SCIS&ISIS (2014)
Nicolas Labroche, Marcin Detyniecki, Thomas Bärecke
Accelerating One-Pass Clustering by Cluster Selection Racing. ICTAI (2013)
Sylvain Dormieu, Nicolas Labroche
SNOW, un algorithme exploratoire pour le subspace clustering. EGC (2013)
Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier
Improving constrained clustering with active query selection. Pattern Recognit. 45 (4) (2012)
Sahar Changuel, Nicolas Labroche
Content Independent Metadata Production as a Machine Learning Problem. MLDM (2012)
Sahar Changuel, Nicolas Labroche
Distinguishing defined concepts from prerequisite concepts in learning resources. CIDM (2011)
Nicolas Labroche, Christophe Marsala
Optimization of a fuzzy decision trees forest with artificial ant based clustering. SoCPaR (2010)
Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier
Active Learning for Semi-Supervised K-Means Clustering. ICTAI (1) (2010)
Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier
An Efficient Active Constraint Selection Algorithm for Clustering. ICPR (2010)
Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier
Boosting Clustering by Active Constraint Selection. ECAI (2010)
Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier
Automatic concept type identification from learning resources. IJCNN (2010)
Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier
A General Learning Method for Automatic Title Extraction from HTML Pages. MLDM (2009)
Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier
Leader Ant Clustering with Constraints. RIVF (2009)
Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier
Automatic Web Pages Author Extraction. FQAS (2009)
Marie-Jeanne Lesot, Nicolas Labroche, Lionel Yaffi
Analyse et visualisation interactive de sessions web. Rev. d'Intelligence Artif. 22 (3-4) (2008)
Nicolas Labroche, Marie-Jeanne Lesot, Lionel Yaffi
A New Web Usage Mining and Visualization Tool. ICTAI (1) (2007)
Nicolas Labroche
Mesure d'audience sur Internet par populations de fourmis artificielles. EGC (Ateliers) (2005)
Nicolas Labroche, Christiane Guinot, Gilles Venturini
Fast Unsupervised Clustering with Artificial Ants. PPSN (2004)
Nicolas Labroche, Nicolas Monmarché, Gilles Venturini
Visual Clustering with Artificial Ants Colonies. KES (2003)
Nicolas Labroche, Nicolas Monmarché, Gilles Venturini
AntClust: Ant Clustering and Web Usage Mining. GECCO (2003)
Nicolas Labroche, Nicolas Monmarché, Gilles Venturini
Web Sessions Clustering with Artificial Ants Colonies. WWW (Posters) (2003)
Nicolas Labroche, Nicolas Monmarché, Gilles Venturini
A new clustering algorithm based on the ants chemical recognition system. ECAI (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicolas Labroche