SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled Sequences R Mathonat, D Nurbakova, JF Boulicaut, M Kaytoue 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 14 | 2019 |
A behavioral pattern mining approach to model player skills in rocket league R Mathonat, JF Boulicaut, M Kaytoue 2020 IEEE conference on games (CoG), 267-274, 2020 | 10 | 2020 |
Anytime mining of sequential discriminative patterns in labeled sequences R Mathonat, D Nurbakova, JF Boulicaut, M Kaytoue Knowledge and Information Systems, 1-38, 2020 | 8 | 2020 |
" What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis Y Remil, A Bendimerad, R Mathonat, P Chaleat, M Kaytoue 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 5 | 2021 |
Actionable subgroup discovery and urban farm optimization A Millot, R Mathonat, R Cazabet, JF Boulicaut International Symposium on Intelligent Data Analysis, 339-351, 2020 | 4 | 2020 |
Rule discovery in labeled sequential data: Application to game analytics R Mathonat Université de Lyon, 2020 | 1 | 2020 |
Découverte de sous-groupes à partir de données séquentielles par échantillonnage et optimisation locale R Mathonat, JF Boulicaut, M Kaytoue Extraction et Gestion des Connaissances: Actes de la conférence EGC'2019 79, 2019 | 1 | 2019 |
On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report A Bendimerad, Y Remil, R Mathonat, M Kaytoue arXiv preprint arXiv:2308.11225, 2023 | | 2023 |
Anytime Subgroup Discovery in High Dimensional Numerical Data R Mathonat, D Nurbakova, JF Boulicaut, M Kaytoue 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021 | | 2021 |