Profiling User Belief in BI Exploration for Measuring Subjective Interestingness. - Alexandre Chanson; Ben Crulis; Krista Drushku; Nicolas Labroche; Patrick Marcel (DOLAP, 2019)

A Subjective Interestingness measure for Business Intelligence explorations. - Alexandre Chanson; Ben Crulis; Nicolas Labroche; Patrick Marcel (CoRR, 2019)

The Traveling Analyst Problem: Definition and Preliminary Study. - Alexandre Chanson; Ben Crulis; Nicolas Labroche; Patrick Marcel; Verónika Peralta; Stefano Rizzi; Panos Vassiliadis (DOLAP, 2020)

Learning Analysis Patterns using a Contextual Edit Distance. - Clément Moreau; Verónika Peralta; Patrick Marcel; Alexandre Chanson; Thomas Devogele (DOLAP, 2020)

A Chain Composite Item Recommender for Lifelong Pathways. - Alexandre Chanson; Thomas Devogele; Nicolas Labroche; Patrick Marcel; Nicolas Ringuet; Vincent T'kindt (DaWaK, 2021)

Towards Local Post-hoc Recommender Systems Explanations. - Alexandre Chanson; Nicolas Labroche; Willeme Verdeaux (DOLAP, 2021)

Clustering sequences of multi-dimensional sets of semantic elements. - Clement Moreau; Alexandre Chanson; Verónika Peralta; Thomas Devogele; Cyril de Runz (SAC, 2021)

Generating Personalized Data Narrations from EDA Notebooks. - Alexandre Chanson; Faten El Outa; Nicolas Labroche; Patrick Marcel; Verónika Peralta; Willeme Verdeaux; Lucile Jacquemart (DOLAP, 2022)

Automatic generation of comparison notebooks for interactive data exploration. - Alexandre Chanson; Nicolas Labroche; Patrick Marcel; Stefano Rizzi; Vincent T'kindt (EDBT, 2022)

Preference-based and local post-hoc explanations for recommender systems. - Léo Brunot; Nicolas Canovas; Alexandre Chanson; Nicolas Labroche; Willeme Verdeaux (Inf. Syst., 2022)

Pairwise Loss Regularization for Recommendations Explanation. - Alexandre Chanson; Nicolas Labroche; Patrick Marcel; Willeme Verdeaux (DOLAP, 2023)

Optimisation and interactive data analysis: the Traveling Analyst Problem. (Optimisation et analyse interactive de données : le Problème du Voyageur de Données). - Alexandre Chanson (2023)

Interestingness Measures for Exploratory Data Analysis: a Survey. - Alexandre Chanson; Nicolas Labroche; Patrick Marcel; Verónika Peralta; Panos Vassiliadis (ADBIS (Short Papers), 2024)

Comparison Queries Generation Using Mathematical Programming for Exploratory Data Analysis. - Alexandre Chanson; Nicolas Labroche; Patrick Marcel; Vincent T'kindt (IEEE Trans. Knowl. Data Eng., 2024)

Finding comparison insights in multidimensional datasets. - Patrick Marcel; Claire Antoine; Alexandre Chanson; Nicolas Labroche (DOLAP, 2025)

Effective data exploration through clustering of local attributive explanations. - Elodie Escriva; Tom Lefrere; Manon Martin; Julien Aligon; Alexandre Chanson; Jean-Baptiste Excoffier; Nicolas Labroche; Chantal Soulé-Dupuy; Paul Monsarrat (Inf. Syst., 2025)