Nicolas Labroche
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
18
Active years
2002–2026
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EDBT | Challenges of Explainability in Continual Learning for Time Series Forecasting. | Quentin Besnard, Emmanuel Doumard, Nicolas Labroche, Nicolas Ragot, Nicolas Ringuet |
| 2025 | ADBIS | Exploring Local Feature Influences with Hierarchical Explanation Trees. | Emmanuel Doumard, Julien Aligon, Paul Monsarrat, Nicolas Labroche, Alexandre Chanson |
| 2025 | ADBIS | Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis. | Guillaume Tejedor, Vernika Peralta, Nicolas Labroche, Patrick Marcel, Hlne Blasco, Hugo Alarcan |
| 2025 | DOLAP | Finding comparison insights in multidimensional datasets. | Patrick Marcel, Claire Antoine, Alexandre Chanson, Nicolas Labroche |
| 2025 | GECCO | COTLEA: COpula-based Transfer Learning Evolutionary Algorithm for Multi-Objective Optimization Problems. | Fodil Benali, Cyril De Runz, Nicolas Labroche, Hicham Elmokhtari |
| 2024 | ADBIS | Interestingness Measures for Exploratory Data Analysis: a Survey. | Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Vernika Peralta, Panos Vassiliadis |
| 2023 | ADBIS | Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium. | Adam Przybylek, Aleksandra Karpus, Allel Hadjali, Anton Digns, Carmem S. Hara, Danae Pla Karidi, Ester Zumpano, Fabio Persia, Genoveva Vargas-Solar, George Papastefanatos, Giancarlo Sperl, 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 | DOLAP | Pairwise Loss Regularization for Recommendations Explanation. | Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Willeme Verdeaux |
| 2022 | DOLAP | Generating Personalized Data Narrations from EDA Notebooks. | Alexandre Chanson, Faten El Outa, Nicolas Labroche, Patrick Marcel, Vernika Peralta, Willeme Verdeaux, Lucile Jacquemart |
| 2022 | EDBT | Automatic generation of comparison notebooks for interactive data exploration. | Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Stefano Rizzi, Vincent T'kindt |
| 2022 | ER | Modeling Lifelong Pathway Co-construction. | Nicolas Ringuet, Patrick Marcel, Nicolas Labroche, Thomas Devogele, Christophe Bortolaso |
| 2022 | GECCO | An enhanced adaptive geometry evolutionary algorithm using stochastic diversity mechanism. | Fodil Benali, Damien Bodns, Cyril De Runz, Nicolas Labroche |
| 2022 | SAC | A new reference-based algorithm based on non-euclidean geometry for multi-stakeholder media planning. | Fodil Benali, Damien Bodns, Cyril de Runz, Nicolas Labroche |
| 2021 | DaWaK | A Chain Composite Item Recommender for Lifelong Pathways. | Alexandre Chanson, Thomas Devogele, Nicolas Labroche, Patrick Marcel, Nicolas Ringuet, Vincent T'kindt |
| 2021 | DOLAP | MTCopula: Synthetic Complex Data Generation Using Copula. | Fodil Benali, Damien Bodenes, Nicolas Labroche, Cyril de Runz |
| 2021 | DOLAP | Towards Local Post-hoc Recommender Systems Explanations. | Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux |
| 2021 | ICTAI | An Enhanced R-NSGA-II For Multiple Brands Advertising Campaign Allocation Problem. | Fodil Benali, Damien Bodns, Cyril De Runz, Nicolas Labroche |
| 2020 | DOLAP | The Traveling Analyst Problem: Definition and Preliminary Study. | Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Vernika Peralta, Stefano Rizzi, Panos Vassiliadis |
| 2020 | EDBT | Causality based explanations in multi-stakeholder recommendations. | Willeme Verdeaux, Clment Moreau, Nicolas Labroche, Patrick Marcel |
| 2019 | DOLAP | Profiling User Belief in BI Exploration for Measuring Subjective Interestingness. | Alexandre Chanson, Ben Crulis, Krista Drushku, Nicolas Labroche, Patrick Marcel |
| 2019 | DOLAP | Towards a Benefit-based Optimizer for Interactive Data Analysis. | Patrick Marcel, Nicolas Labroche, Panos Vassiliadis |
| 2018 | DOLAP | 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, Clment Chaussade, Shibo Cheng, Nicolas Labroche, Patrick Marcel, Vernika Peralta |
| 2018 | IPMU | Semi-supervised Fuzzy c-Means Variants: A Study on Noisy Label Supervision. | Violaine Antoine, Nicolas Labroche |
| 2017 | ADBIS | Detecting User Focus in OLAP Analyses. | Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Vernika Peralta |
| 2017 | CaiSE | User Interests Clustering in Business Intelligence Interactions. | Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Vernika Peralta, Bruno Dumant |
| 2016 | ICTAI | Clustering with Quantitative User Preferences on Attributes. | Adnan El Moussawi, Ahmed Cheriat, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet |
| 2015 | DaWaK | Materializing Baseline Views for Deviation Detection Exploratory OLAP. | Pedro Furtado, Sergi Nadal, Vernika Peralta, Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel |
| 2013 | ICTAI | Accelerating One-Pass Clustering by Cluster Selection Racing. | Nicolas Labroche, Marcin Detyniecki, Thomas Brecke |
| 2011 | CIDM | Distinguishing defined concepts from prerequisite concepts in learning resources. | Sahar Changuel, Nicolas Labroche |
| 2010 | ECAI | Boosting Clustering by Active Constraint Selection. | Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier |
| 2010 | IJCNN | Automatic concept type identification from learning resources. | Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier |
| 2010 | ICPR | An Efficient Active Constraint Selection Algorithm for Clustering. | Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier |
| 2010 | ICTAI | Active Learning for Semi-Supervised K-Means Clustering. | Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier |
| 2009 | FQAS | Automatic Web Pages Author Extraction. | Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier |
| 2007 | ICTAI | A New Web Usage Mining and Visualization Tool. | Nicolas Labroche, Marie-Jeanne Lesot, Lionel Yaffi |
| 2004 | PPSN | Fast Unsupervised Clustering with Artificial Ants. | Nicolas Labroche, Christiane Guinot, Gilles Venturini |
| 2003 | GECCO | AntClust: Ant Clustering and Web Usage Mining. | Nicolas Labroche, Nicolas Monmarch, Gilles Venturini |
| 2003 | KES | Visual Clustering with Artificial Ants Colonies. | Nicolas Labroche, Nicolas Monmarch, Gilles Venturini |
| 2003 | WWW | Web Sessions Clustering with Artificial Ants Colonies. | Nicolas Labroche, Nicolas Monmarch, Gilles Venturini |
| 2002 | ECAI | A new clustering algorithm based on the ants chemical recognition system. | Nicolas Labroche, Nicolas Monmarch, Gilles Venturini |