Mining Preferences from OLAP Query Logs for Proactive Personalization. - Julien Aligon; Matteo Golfarelli; Patrick Marcel; Stefano Rizzi; Elisa Turricchia (ADBIS, 2011)

Résumés et interrogations de logs de requête OLAP. - Julien Aligon; Patrick Marcel; Elsa Negre (EGC, 2011)

Summarizing and Querying Logs of OLAP Queries. - Julien Aligon; Patrick Marcel; Elsa Negre (EGC (best of volume), 2011)

Summarizing former sessions for user-centric OLAP. - Julien Aligon; Patrick Marcel (EDA, 2012)

A Methodology to Gather Real OLAP Analysis Sessions. - Julien Aligon (EDA, 2013)

A Holistic Approach to OLAP Sessions Composition: The Falseto Experience. - Julien Aligon; Kamal Boulil; Patrick Marcel; Verónika Peralta (DOLAP, 2014)

Similarity measures for OLAP sessions. - Julien Aligon; Matteo Golfarelli; Patrick Marcel; Stefano Rizzi; Elisa Turricchia (Knowl. Inf. Syst., 2014)

A collaborative filtering approach for recommending OLAP sessions. - Julien Aligon; Enrico Gallinucci; Matteo Golfarelli; Patrick Marcel; Stefano Rizzi (Decis. Support Syst., 2015)

Défi EGC 2016 : Analyse par Motifs Fréquents et Topic Modeling. - Julien Aligon; Fabrice Guillet; Julien Blanchard 001; Fabien Picarougne (EGC, 2016)

User Interests Clustering in Business Intelligence Interactions. - Krista Drushku; Julien Aligon; Nicolas Labroche; Patrick Marcel; Verónika Peralta; Bruno Dumant (CAiSE, 2017)

Weather Data Visualization and Analytical Platform. - Hrachya V. Astsatryan; Hayk Grogoryan; Eliza Gyulgyulyan; Anush Hakobyan; Aram Kocharyan; Wahi Narsisian; Vladimir Sahakyan; Yuri Shoukourian; Rita Abrahamyan; Zarmandukht Petrosyan; Julien Aligon (Scalable Comput. Pract. Exp., 2018)

Data Quality Alerting Model for Big Data Analytics. - Eliza Gyulgyulyan; Julien Aligon; Franck Ravat; Hrachya V. Astsatryan (ADBIS (Short Papers and Workshops), 2019)

Un cadre d'aide à l'exploitation des résultats de prédictions, à destination d'experts de domaine. - Gabriel Ferrettini; Julien Aligon; Chantal Soulé-Dupuy (INFORSID, 2019)

Interest-based recommendations for business intelligence users. - Krista Drushku; Julien Aligon; Nicolas Labroche; Patrick Marcel; Verónika Peralta (Inf. Syst., 2019)

Improving on Coalitional Prediction Explanation. - Gabriel Ferrettini; Julien Aligon; Chantal Soulé-Dupuy (ADBIS, 2020)

A Framework for User Assistance on Predictive Models. - Gabriel Ferrettini; Julien Aligon; Chantal Soulé-Dupuy; William Raynaut (CIRCLE, 2020)

Recommandations basées sur les centres d'intérêts utilisateurs en Business Intelligence. - Krista Drushku; Julien Aligon; Nicolas Labroche; Patrick Marcel; Verónika Peralta (INFORSID, 2020)

Explaining Single Predictions: A Faster Method. - Gabriel Ferrettini; Julien Aligon; Chantal Soulé-Dupuy (SOFSEM, 2020)

Analysis-oriented Metadata for Data Lakes. - Yan Zhao 022; Franck Ravat; Julien Aligon; Chantal Soulé-Dupuy; Gabriel Ferrettini; Imen Megdiche (IDEAS, 2021)

AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution. - Robin Cugny; Julien Aligon; Max Chevalier; Geoffrey Roman-Jimenez; Olivier Teste (CIKM, 2022)

A Comparative Study of Additive Local Explanation Methods based on Feature Influences. - Emmanuel Doumard; Julien Aligon; Elodie Escriva; Jean-Baptiste Excoffier; Paul Monsarrat; Chantal Soulé-Dupuy (DOLAP, 2022)

Stratégies coalitionnelles pour une explication efficace des prédictions individuelles. - Elodie Escriva; Gabriel Ferrettini; Julien Aligon; Jean-Baptiste Excoffier; Chantal Soulé-Dupuy (EGC, 2022)

Local Explanation-Based Method for Healthcare Risk Stratification. - Jean-Baptiste Excoffier; Elodie Escriva; Julien Aligon; Matthieu Ortala (MIE, 2022)

Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI Solutions. - Robin Cugny; Julien Aligon; Max Chevalier; Geoffrey Roman-Jimenez; Olivier Teste (CoRR, 2022)

Coalitional Strategies for Efficient Individual Prediction Explanation. - Gabriel Ferrettini; Elodie Escriva; Julien Aligon; Jean-Baptiste Excoffier; Chantal Soulé-Dupuy (Inf. Syst. Frontiers, 2022)

How to Make the Most of Local Explanations: Effective Clustering Based on Influences. - Elodie Escriva; Julien Aligon; Jean-Baptiste Excoffier; Paul Monsarrat; Chantal Soulé-Dupuy (ADBIS, 2023)

Data Exploration Based on Local Attribution Explanation: A Medical Use Case. - Elodie Escriva; Emmanuel Doumard; Jean-Baptiste Excoffier; Julien Aligon; Paul Monsarrat; Chantal Soulé-Dupuy (ADBIS (Short Papers), 2023)

Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium. - 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; et al. (ADBIS (Short Papers), 2023)

AutoXAI: Un cadre pour sélectionner automatiquement la solution d'XAI la plus adaptée. - Robin Cugny; Julien Aligon; Max Chevalier; Geoffrey Roman-Jimenez; Olivier Teste (EGC, 2023)

A quantitative approach for the comparison of additive local explanation methods. - Emmanuel Doumard; Julien Aligon; Elodie Escriva; Jean-Baptiste Excoffier; Paul Monsarrat; Chantal Soulé-Dupuy (Inf. Syst., 2023)

Explanations as a New Metric for Feature Selection: A Systematic Approach. - Haomiao Wang; Emmanuel Doumard; Chantal Soulé-Dupuy; Philippe Kémoun; Julien Aligon; Paul Monsarrat (IEEE J. Biomed. Health Informatics, 2023)

Vers une aide intelligible à l'analyse prédictive. - Julien Aligon (2024)

Towards Regional Explanations with Validity Domains for Local Explanations. - Robin Cugny; Julien Aligon; Max Chevalier; Geoffrey Roman-Jimenez; Olivier Teste (DaWaK, 2024)

Vers un clustering interactif assisté par l'explicabilité. - Yacine Mokhtari; Robin Cugny; Nabil El Malki; Julien Aligon; Max Chevalier; Olivier Teste (EGC, 2024)

Investigating the Duality of Interpretability and Explainability in Machine Learning. - Moncef Garouani; Josiane Mothe; Ayah Barhrhouj; Julien Aligon (ICTAI, 2024)

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)