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ORCIDAlexandre Chanson
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- affiliation: University of Tours, France
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2020 – today
- 2025
[j3]Elodie Escriva
, Tom Lefrere, Manon Martin, Julien Aligon, Alexandre Chanson, Jean-Baptiste Excoffier, Nicolas Labroche, Chantal Soulé-Dupuy, Paul Monsarrat:
Effective data exploration through clustering of local attributive explanations. Inf. Syst. 127: 102464 (2025)- 2024
- [j2]Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Vincent T'kindt:
Comparison Queries Generation Using Mathematical Programming for Exploratory Data Analysis. IEEE Trans. Knowl. Data Eng. 36(12): 7792-7804 (2024) - [c10]Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Panos Vassiliadis:
Interestingness Measures for Exploratory Data Analysis: a Survey. ADBIS (Short Papers) 2024: 14-24 - 2023
- [b1]Alexandre Chanson:
Optimisation and interactive data analysis: the Traveling Analyst Problem. (Optimisation et analyse interactive de données : le Problème du Voyageur de Données). François Rabelais University, Tours, France, 2023 - [c9]Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Willeme Verdeaux:
Pairwise Loss Regularization for Recommendations Explanation. DOLAP 2023: 91-95 - 2022
- [j1]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) - [c8]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 - [c7]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 - 2021
- [c6]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 - [c5]Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux:
Towards Local Post-hoc Recommender Systems Explanations. DOLAP 2021: 41-50 - [c4]Clement Moreau, Alexandre Chanson, Verónika Peralta, Thomas Devogele, Cyril de Runz:
Clustering sequences of multi-dimensional sets of semantic elements. SAC 2021: 384-391 - 2020
- [c3]Clément Moreau, Verónika Peralta, Patrick Marcel, Alexandre Chanson, Thomas Devogele:
Learning Analysis Patterns using a Contextual Edit Distance. DOLAP 2020: 46-55 - [c2]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
2010 – 2019
- 2019
- [c1]Alexandre Chanson, Ben Crulis, Krista Drushku, Nicolas Labroche, Patrick Marcel:
Profiling User Belief in BI Exploration for Measuring Subjective Interestingness. DOLAP 2019 - [i1]Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel:
A Subjective Interestingness measure for Business Intelligence explorations. CoRR abs/1907.06946 (2019)
Coauthor Index
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