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Publication search results
found 66 matches
- 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: 293-311 - Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Willeme Verdeaux:
Pairwise Loss Regularization for Recommendations Explanation. DOLAP 2023: 91-95 - 2022
- Léo Brunot, Nicolas Canovas, Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux:
Preference-based and local post-hoc explanations for recommender systems. Inf. Syst. 108: 102021 (2022) - 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): 52-56 (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: 34-49 - Alexandre Chanson, Faten El Outa, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux, Lucile Jacquemart:
Generating Personalized Data Narrations from EDA Notebooks. DOLAP 2022: 91-95 - Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Stefano Rizzi, Vincent T'kindt:
Automatic generation of comparison notebooks for interactive data exploration. EDBT 2022: 2:274-2:284 - Nicolas Ringuet, Patrick Marcel, Nicolas Labroche, Thomas Devogele, Christophe Bortolaso:
Modeling Lifelong Pathway Co-construction. ER 2022: 130-144 - Fodil Benali, Damien Bodénès, Nicolas Labroche, Cyril de Runz:
MTCopula: Génération de données synthétiques et complexes basées sur les Copules. EGC 2022: 347-354 - Fodil Benali, Damien Bodénès, Cyril De Runz, Nicolas Labroche:
An enhanced adaptive geometry evolutionary algorithm using stochastic diversity mechanism. GECCO 2022: 476-483 - 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: 1056-1065 - Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche, Abel Henriot:
Experimental study of time series forecasting methods for groundwater level prediction. CoRR abs/2209.13927 (2022) - 2021
- Alexandre Chanson, Thomas Devogele, Nicolas Labroche, Patrick Marcel, Nicolas Ringuet, Vincent T'kindt:
A Chain Composite Item Recommender for Lifelong Pathways. DaWaK 2021: 55-66 - Fodil Benali, Damien Bodenes, Nicolas Labroche, Cyril de Runz:
MTCopula: Synthetic Complex Data Generation Using Copula. DOLAP 2021: 51-60 - Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux:
Towards Local Post-hoc Recommender Systems Explanations. DOLAP 2021: 41-50 - Fodil Benali, Damien Bodénès, Cyril De Runz, Nicolas Labroche:
An Enhanced R-NSGA-II For Multiple Brands Advertising Campaign Allocation Problem. ICTAI 2021: 1306-1310 - 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): 459-489 (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: 94-98 - Willeme Verdeaux, Clément Moreau, Nicolas Labroche, Patrick Marcel:
Causality based explanations in multi-stakeholder recommendations. EDBT/ICDT Workshops 2020 - Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
Recommandations basées sur les centres d'intérêts utilisateurs en Business Intelligence. INFORSID 2020: 151-152 - 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 abs/2007.11381 (2020) - 2019
- Mahfoud Djedaini, Krista Drushku, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux:
Automatic assessment of interactive OLAP explorations. Inf. Syst. 82: 148-163 (2019) - Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
Interest-based recommendations for business intelligence users. Inf. Syst. 86: 79-93 (2019) - Alexandre Chanson, Ben Crulis, Krista Drushku, Nicolas Labroche, Patrick Marcel:
Profiling User Belief in BI Exploration for Measuring Subjective Interestingness. DOLAP 2019 - Patrick Marcel, Nicolas Labroche, Panos Vassiliadis:
Towards a Benefit-based Optimizer for Interactive Data Analysis. DOLAP 2019 - Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel:
A Subjective Interestingness measure for Business Intelligence explorations. CoRR abs/1907.06946 (2019) - 2018
- Violaine Antoine, Kévin Gravouil, Nicolas Labroche:
On Evidential Clustering with Partial Supervision. BELIEF 2018: 14-21 - 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 - Violaine Antoine, Nicolas Labroche:
Semi-supervised Fuzzy c-Means Variants: A Study on Noisy Label Supervision. IPMU (2) 2018: 51-62 - 2017
- Viet-Vu Vu, Nicolas Labroche:
Active seed selection for constrained clustering. Intell. Data Anal. 21(3): 537-552 (2017)
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