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Julien Aligon
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2020 – today
- 2025
- [j8]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
- [b1]Julien Aligon:
Vers une aide intelligible à l'analyse prédictive. Université Toulouse Capitole, France, 2024 - [c24]Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
Towards Regional Explanations with Validity Domains for Local Explanations. DaWaK 2024: 147-161 - 2023
- [j7]Emmanuel Doumard, Julien Aligon, Elodie Escriva, Jean-Baptiste Excoffier, Paul Monsarrat, Chantal Soulé-Dupuy:
A quantitative approach for the comparison of additive local explanation methods. Inf. Syst. 114: 102162 (2023) - [j6]Haomiao Wang, Emmanuel Doumard, Chantal Soulé-Dupuy, Philippe Kémoun, Julien Aligon, Paul Monsarrat:
Explanations as a New Metric for Feature Selection: A Systematic Approach. IEEE J. Biomed. Health Informatics 27(8): 4131-4142 (2023) - [c23]Elodie Escriva, Julien Aligon, Jean-Baptiste Excoffier, Paul Monsarrat, Chantal Soulé-Dupuy:
How to Make the Most of Local Explanations: Effective Clustering Based on Influences. ADBIS 2023: 146-160 - [c22]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 - [c21]Elodie Escriva, Emmanuel Doumard, Jean-Baptiste Excoffier, Julien Aligon, Paul Monsarrat, Chantal Soulé-Dupuy:
Data Exploration Based on Local Attribution Explanation: A Medical Use Case. ADBIS (Short Papers) 2023: 315-323 - [c20]Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
AutoXAI: Un cadre pour sélectionner automatiquement la solution d'XAI la plus adaptée. EGC 2023: 491-498 - 2022
- [j5]Gabriel Ferrettini, Elodie Escriva, Julien Aligon, Jean-Baptiste Excoffier, Chantal Soulé-Dupuy:
Coalitional Strategies for Efficient Individual Prediction Explanation. Inf. Syst. Frontiers 24(1): 49-75 (2022) - [c19]Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution. CIKM 2022: 315-324 - [c18]Emmanuel Doumard, Julien Aligon, Elodie Escriva, Jean-Baptiste Excoffier, Paul Monsarrat, Chantal Soulé-Dupuy:
A Comparative Study of Additive Local Explanation Methods based on Feature Influences. DOLAP 2022: 31-40 - [c17]Elodie Escriva, Gabriel Ferrettini, Julien Aligon, Jean-Baptiste Excoffier, Chantal Soulé-Dupuy:
Stratégies coalitionnelles pour une explication efficace des prédictions individuelles. EGC 2022: 395-402 - [c16]Jean-Baptiste Excoffier, Elodie Escriva, Julien Aligon, Matthieu Ortala:
Local Explanation-Based Method for Healthcare Risk Stratification. MIE 2022: 555-556 - [e2]Sandro Bimonte, Julien Aligon:
Business Intelligence & Big Data, Actes de la conférence EDA 2022, Clermont-Ferrand, France, 27 et 28 octobre 2022. RNTI B-18, Editions RNTI 2022, ISBN 979-10-96289-18-9 [contents] - [i2]Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI Solutions. CoRR abs/2210.02795 (2022) - 2021
- [c15]Yan Zhao, Franck Ravat, Julien Aligon, Chantal Soulé-Dupuy, Gabriel Ferrettini, Imen Megdiche:
Analysis-oriented Metadata for Data Lakes. IDEAS 2021: 194-203 - [e1]Julien Aligon, Verónika Peralta:
Business Intelligence & Big Data, Actes de la conférence EDA 2021, en distanciel, 01-02 juillet 2021. RNTI B-17, Editions RNTI 2021, ISBN 979-10-96289-17-2 [contents] - [i1]Gabriel Ferrettini, Elodie Escriva, Julien Aligon, Jean-Baptiste Excoffier, Chantal Soulé-Dupuy:
Coalitional strategies for efficient individual prediction explanation. CoRR abs/2104.00765 (2021) - 2020
- [c14]Gabriel Ferrettini, Julien Aligon, Chantal Soulé-Dupuy:
Improving on Coalitional Prediction Explanation. ADBIS 2020: 122-135 - [c13]Gabriel Ferrettini, Julien Aligon, Chantal Soulé-Dupuy, William Raynaut:
A Framework for User Assistance on Predictive Models. CIRCLE 2020 - [c12]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 - [c11]Gabriel Ferrettini, Julien Aligon, Chantal Soulé-Dupuy:
Explaining Single Predictions: A Faster Method. SOFSEM 2020: 313-324
2010 – 2019
- 2019
- [j4]Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
Interest-based recommendations for business intelligence users. Inf. Syst. 86: 79-93 (2019) - [c10]Eliza Gyulgyulyan, Julien Aligon, Franck Ravat, Hrachya V. Astsatryan:
Data Quality Alerting Model for Big Data Analytics. ADBIS (Short Papers and Workshops) 2019: 489-500 - [c9]Gabriel Ferrettini, Julien Aligon, Chantal Soulé-Dupuy:
Un cadre d'aide à l'exploitation des résultats de prédictions, à destination d'experts de domaine. INFORSID 2019: 206-220 - 2018
- [j3]Hrachya V. Astsatryan, Hayk Grogoryan, Eliza Gyulgyulyan, Anush Hakobyan, Aram Kocharyan, Wahi Narsisian, Vladimir Sahakyan, Yuri Shoukourian, Rita Abrahamyan, Zarmandukht Petrosyan, Julien Aligon:
Weather Data Visualization and Analytical Platform. Scalable Comput. Pract. Exp. 19(2): 79-86 (2018) - 2017
- [c8]Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Bruno Dumant:
User Interests Clustering in Business Intelligence Interactions. CAiSE 2017: 144-158 - 2016
- [c7]Julien Aligon, Fabrice Guillet, Julien Blanchard, Fabien Picarougne:
Défi EGC 2016 : Analyse par Motifs Fréquents et Topic Modeling. EGC 2016: 395-406 - 2015
- [j2]Julien Aligon, Enrico Gallinucci, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi:
A collaborative filtering approach for recommending OLAP sessions. Decis. Support Syst. 69: 20-30 (2015) - 2014
- [j1]Julien Aligon, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi, Elisa Turricchia:
Similarity measures for OLAP sessions. Knowl. Inf. Syst. 39(2): 463-489 (2014) - [c6]Julien Aligon, Kamal Boulil, Patrick Marcel, Verónika Peralta:
A Holistic Approach to OLAP Sessions Composition: The Falseto Experience. DOLAP 2014: 37-46 - 2013
- [c5]Julien Aligon:
A Methodology to Gather Real OLAP Analysis Sessions. EDA 2013: 149-158 - 2012
- [c4]Julien Aligon, Patrick Marcel:
Summarizing former sessions for user-centric OLAP. EDA 2012: 139-153 - 2011
- [c3]Julien Aligon, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi, Elisa Turricchia:
Mining Preferences from OLAP Query Logs for Proactive Personalization. ADBIS 2011: 84-97 - [c2]Julien Aligon, Patrick Marcel, Elsa Negre:
Résumés et interrogations de logs de requête OLAP. EGC 2011: 239-250 - [c1]Julien Aligon, Patrick Marcel, Elsa Negre:
Summarizing and Querying Logs of OLAP Queries. EGC (best of volume) 2011: 99-124
Coauthor Index
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last updated on 2024-10-23 21:25 CEST by the dblp team
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