| Automatic generation of comparison notebooks for interactive data exploration A Chanson, N Labroche, P Marcel, S Rizzi, V T’kindt Advances in Database Technology. Proceedings 25th International Conference …, 2022 | 17 | 2022 |
| The traveling analyst problem: definition and preliminary study A Chanson, B Crulis, N Labroche, P Marcel, V Peralta, S Rizzi, ... Design, Optimization, Languages and Analytical Processing of Big Data, 2020 | 14 | 2020 |
| Profiling User Belief in BI Exploration for Measuring Subjective Interestingness. A Chanson, B Crulis, K Drushku, N Labroche, P Marcel DOLAP, 2019 | 11 | 2019 |
| Towards local post-hoc recommender systems explanations A Chanson, N Labroche, W Verdeaux Proceedings of the 23rd International Workshop on Design, Optimization …, 2021 | 8 | 2021 |
| Learning Analysis Patterns using a Contextual Edit Distance C Moreau, V Peralta, P Marcel, A Chanson, T Devogele | 8* | |
| Clustering sequences of multi-dimensional sets of semantic elements C Moreau, A Chanson, V Peralta, T Devogele, C de Runz Proceedings of the 36th Annual ACM Symposium on Applied Computing, 384-391, 2021 | 7 | 2021 |
| A chain composite item recommender for lifelong pathways A Chanson, T Devogele, N Labroche, P Marcel, N Ringuet, V t’Kindt Big Data Analytics and Knowledge Discovery: 23rd International Conference …, 2021 | 7 | 2021 |
| Preference-based and local post-hoc explanations for recommender systems L Brunot, N Canovas, A Chanson, N Labroche, W Verdeaux Information Systems 108, 102021, 2022 | 6 | 2022 |
| Generating Personalized Data Narrations from EDA Notebooks. A Chanson, F El Outa, N Labroche, P Marcel, V Peralta, W Verdeaux, ... DOLAP, 91-95, 2022 | 2 | 2022 |
| The traveling analyst problem, orienteering applied to exploratory data analysis A Chanson, N Labroche, P Marcel, V t'Kindt Congrčs annuel de la ROADEF 2021, 2021 | 2 | 2021 |
| Optimisation and interactive data analysis: the Traveling Analyst Problem A Chanson Université de Tours, 2023 | 1 | 2023 |
| A Subjective Interestingness measure for Business Intelligence explorations A Chanson, B Crulis, N Labroche, P Marcel arXiv preprint arXiv:1907.06946, 2019 | 1 | 2019 |
| Comparison queries generation using mathematical programming for exploratory data analysis A Chanson, N Labroche, P Marcel, V T’Kindt IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| Effective data exploration through clustering of local attributive explanations E Escriva, T Lefrere, M Martin, J Aligon, A Chanson, JB Excoffier, ... Information Systems, 102464, 2024 | | 2024 |
| Matheuristics to solve the Traveling Analyst Problem A Chanson, V t'Kindt, N Labroche, P Marcel | | 2023 |
| Pairwise loss regularization for recommendations explanation A Chanson, N Labroche, P Marcel, W Verdeaux 25th International Workshop on Design, Optimization, Languages and …, 2023 | | 2023 |
| Matheuristics for solving the Traveling analyst problem A Chanson, N Labroche, P Marcel, V t'Kindt ROADEF 2022, 2022 | | 2022 |
| User and Context Aware Composite Item Recommendation K Drushku, A Chanson, B Crulis, N Labroche, P Marcel ComplexRec 2018 Second Workshop on Recommendation in Complex Scenarios …, 2018 | | 2018 |
Nicolas LabrocheProfessor at Université de Tours (France)Verified email at univ-tours.fr
