CV

Education

• Ph.D in Computer sciences, University fo Tours, 2023
  • Optimisation and interactive data analysis: the Traveling Analyst Problem
• M.S. in data management and analytics , University fo Tours, 2020
• B.S. in Computer sciences, University fo Tours, 2018

Work experience

• Fall 2024 - : Associate Professor
  • University fo Tours
  • LIFAT Lab - BdTln Team
• Fall 2023 - Summer 2024 : Associate Professor (Temporary/ATER)
  • University fo Tours

Research topics

• Explainable AI
• Data narration and exploration
  • Automation of exploratory data analysis (EDA)
  • User preference modeling / Interestingness measures
• Semantic sequences: Clustering

Publications

Pairwise Loss Regularization for Recommendations Explanation

Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Willeme Verdeaux, "Pairwise Loss Regularization for Recommendations Explanation." In the proceedings of Proceedings of the 25th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP) co-located with the 26th International Conference on Extending Database Technology and the 26th International Conference on Database Theory (EDBT/ICDT 2023), Ioannina, Greece, March 28, 2023, 2023.

Preference-based and local post-hoc explanations for recommender systems

L{\'{e}}o Brunot, Nicolas Canovas, Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux, "Preference-based and local post-hoc explanations for recommender systems." Inf. Syst., 2022.

Generating Personalized Data Narrations from EDA Notebooks

Alexandre Chanson, Faten Outa, Nicolas Labroche, Patrick Marcel, Ver{\'{o}}nika Peralta, Willeme Verdeaux, Lucile Jacquemart, "Generating Personalized Data Narrations from EDA Notebooks." In the proceedings of Proceedings of the 24th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP) co-located with the 25th International Conference on Extending Database Technology and the 25th International Conference on Database Theory (EDBT/ICDT 2022), Edinburgh, UK, March 29, 2022, 2022.

Automatic generation of comparison notebooks for interactive data exploration

Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Stefano Rizzi, Vincent T'kindt, "Automatic generation of comparison notebooks for interactive data exploration." In the proceedings of Proceedings of the 25th International Conference on Extending Database Technology, EDBT 2022, Edinburgh, UK, March 29 - April 1, 2022, 2022.

Towards Local Post-hoc Recommender Systems Explanations

Alexandre Chanson, Nicolas Labroche, Willeme Verdeaux, "Towards Local Post-hoc Recommender Systems Explanations." In the proceedings of Proceedings of the 23rd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP) co-located with the 24th International Conference on Extending Database Technology and the 24th International Conference on Database Theory (EDBT/ICDT 2021), Nicosia, Cyprus, March 23, 2021, 2021.

Clustering sequences of multi-dimensional sets of semantic elements

Clement Moreau, Alexandre Chanson, Ver{\'{o}}nika Peralta, Thomas Devogele, Cyril Runz, "Clustering sequences of multi-dimensional sets of semantic elements." In the proceedings of SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021, 2021.

A Chain Composite Item Recommender for Lifelong Pathways

Alexandre Chanson, Thomas Devogele, Nicolas Labroche, Patrick Marcel, Nicolas Ringuet, Vincent T'kindt, "A Chain Composite Item Recommender for Lifelong Pathways." In the proceedings of Big Data Analytics and Knowledge Discovery - 23rd International Conference, DaWaK 2021, Virtual Event, September 27-30, 2021, Proceedings, 2021.

The Traveling Analyst Problem: Definition and Preliminary Study

Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Ver{\'{o}}nika Peralta, Stefano Rizzi, Panos Vassiliadis, "The Traveling Analyst Problem: Definition and Preliminary Study." In the proceedings of Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference, DOLAP@EDBT/ICDT 2020, Copenhagen, Denmark, March 30, 2020, 2020.

Learning Analysis Patterns using a Contextual Edit Distance

Cl{\'{e}}ment Moreau, Ver{\'{o}}nika Peralta, Patrick Marcel, Alexandre Chanson, Thomas Devogele, "Learning Analysis Patterns using a Contextual Edit Distance." In the proceedings of Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference, DOLAP@EDBT/ICDT 2020, Copenhagen, Denmark, March 30, 2020, 2020.

Profiling User Belief in BI Exploration for Measuring Subjective Interestingness

Alexandre Chanson, Ben Crulis, Krista Drushku, Nicolas Labroche, Patrick Marcel, "Profiling User Belief in BI Exploration for Measuring Subjective Interestingness." In the proceedings of Proceedings of the 21st International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data, co-located with EDBT/ICDT Joint Conference, DOLAP@EDBT/ICDT 2019, Lisbon, Portugal, March 26, 2019, 2019.

A Subjective Interestingness measure for Business Intelligence explorations

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

Talks

Teaching

DB modeling and querying essentials

Algorithmique avancée : structures de données (Algorithms : data structures)

Fondement des Bases de données (Databases fundamentals)

Community involvement

• Active member of Gdr MaDICS : HELP
• Involved in EGC 2022 local organization team (Managing the online/offline coordination of the hybrid event)
• Co-Organizer of ExplainAI 2024 Workshop @ EGC
• PC DATAPLAT 2024 @ICDE
• Reviewer
  • SIGMOD Record
  • DOLAP