Alexandre Chanson

19 papers B 2C 9Misc 1Journal 5Unranked 1
YearRankTypeTitle / Venue / Authors
2026 C conf
On the Efficacy of Using LLMs for Context Driven Entity Augmentation in Property Graphs.
DOLAP
Felipe Vasconcelos, Cristina Dutra Aguiar, Alexandre Chanson, Mírian Halfeld Ferrari, Patrick Marcel, Verónika Peralta
2025 J jnl
Effective data exploration through clustering of local attributive explanations.
Inf. Syst.
Elodie Escriva, Tom Lefrere, Manon Martin, Julien Aligon, Alexandre Chanson, Jean-Baptiste Excoffier, Nicolas Labroche, Chantal Soulé-Dupuy, Paul Monsarrat
2025 C conf
Exploring Local Feature Influences with Hierarchical Explanation Trees.
ADBIS
Emmanuel Doumard, Julien Aligon, Paul Monsarrat, Nicolas Labroche, Alexandre Chanson
2025 J jnl
Extracting node comparison insights for the interactive exploration of property graphs.
CoRR
Cristina Dutra Aguiar, Jacques Chabin, Alexandre Chanson, Mirian Halfeld Ferrari Alves, Nicolas Hiot, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Felipe Vasconcelos
2025 C conf
Finding comparison insights in multidimensional datasets.
DOLAP
Patrick Marcel, Claire Antoine, Alexandre Chanson, Nicolas Labroche
2024 J jnl
Comparison Queries Generation Using Mathematical Programming for Exploratory Data Analysis.
IEEE Trans. Knowl. Data Eng.
Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Vincent T'kindt
2024 — conf
Interestingness Measures for Exploratory Data Analysis: a Survey.
ADBIS (Short Papers)
Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Panos Vassiliadis
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 C conf
Pairwise Loss Regularization for Recommendations Explanation.
DOLAP
Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Willeme Verdeaux
2022 B conf
Automatic generation of comparison notebooks for interactive data exploration.
EDBT
Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Stefano Rizzi, Vincent T'kindt
2022 C conf
Generating Personalized Data Narrations from EDA Notebooks.
DOLAP
Alexandre Chanson, Faten El Outa, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux, Lucile Jacquemart
2022 J jnl
Preference-based and local post-hoc explanations for recommender systems.
Inf. Syst.
Léo Brunot, Nicolas Canovas, Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux
2021 B conf
A Chain Composite Item Recommender for Lifelong Pathways.
DaWaK
Alexandre Chanson, Thomas Devogele, Nicolas Labroche, Patrick Marcel, Nicolas Ringuet, Vincent T'kindt
2021 Misc conf
Clustering sequences of multi-dimensional sets of semantic elements.
SAC
Clement Moreau, Alexandre Chanson, Verónika Peralta, Thomas Devogele, Cyril De Runz
2021 C conf
Towards Local Post-hoc Recommender Systems Explanations.
DOLAP
Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux
2020 C conf
Learning Analysis Patterns using a Contextual Edit Distance.
DOLAP
Clément Moreau, Verónika Peralta, Patrick Marcel, Alexandre Chanson, Thomas Devogele
2020 C conf
The Traveling Analyst Problem: Definition and Preliminary Study.
DOLAP
Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Stefano Rizzi, Panos Vassiliadis
2019 J jnl
A Subjective Interestingness measure for Business Intelligence explorations.
CoRR
Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel
2019 C conf
Profiling User Belief in BI Exploration for Measuring Subjective Interestingness.
DOLAP
Alexandre Chanson, Ben Crulis, Krista Drushku, Nicolas Labroche, Patrick Marcel