Inferring High-Level Events from Timestamped Data: Complexity and Medical Applications

1. Yvon K. Awuklu(Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, F-33400, Talence, France, CHU de Bordeaux, Service d’Information Médicale, F-33000, Bordeaux, France, Univ. Bordeaux, INSERM, BPH, U1219, F-33000, Bordeaux, France, RIKEN BDR, Kobe, 650-0047, Japan)
2. Meghyn Bienvenu(Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, F-33400, Talence, France)
3. Katsumi Inoue(National Institute of Informatics, Tokyo, Japan)
4. Vianney Jouhet(CHU de Bordeaux, Service d’Information Médicale, F-33000, Bordeaux, France, Univ. Bordeaux, INSERM, BPH, U1219, F-33000, Bordeaux, France)
5. Fleur Mougin(Univ. Bordeaux, INSERM, BPH, U1219, F-33000, Bordeaux, France)

@inproceedings{KR2026-8,
    title     = {{Inferring High-Level Events from Timestamped Data: Complexity and Medical Applications}},
    author    = {Awuklu, Yvon K. and Bienvenu, Meghyn and Inoue, Katsumi and Jouhet, Vianney and Mougin, Fleur},
    booktitle = {{Proceedings of the 23rd International Conference on Principles of Knowledge Representation and Reasoning}},
    pages     = {78--88},
    year      = {2026},
    month     = {7},
    doi       = {10.24963/kr.2026/8},
    url       = {https://doi.org/10.24963/kr.2026/8},
  }