| Unsupervised classification of plethysmography signals with advanced visual representations T Germain, C Truong, L Oudre, E Krejci Frontiers in Physiology 14, 1154328, 2023 | 5 | 2023 |
| Persistence-based motif discovery in time series T Germain, C Truong, L Oudre IEEE Transactions on Knowledge and Data Engineering, 2024 | 3 | 2024 |
| Linear-trend normalization for multivariate subsequence similarity search T Germain, C Truong, L Oudre 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW …, 2024 | 3 | 2024 |
| Shape analysis for time series T Germain, S Gruffaz, C Truong, AO Durmus, L Oudre The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 2 | 2024 |
| Unsupervised study of plethysmography signals through DTW clustering T Germain, C Truong, L Oudre, E Krejci 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 2 | 2022 |
| Interactive motif discovery in time series with persistent homology T Germain, C Truong, L Oudre Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 1 | 2024 |
| Lt-normalized euclidean distance, a novel distance invariant to linear trend for time series data mining T Germain, C Truong, L Oudre | 1 | |
| An α7 nicotinic and GABAB receptor‐mediated pathway controls acetylcholine release in the tripartite neuromuscular junction K Petrov, O Lenina, J Leroy, V Bernard, T Germain, C Truong, L Nurullin, ... The Journal of Physiology, 2025 | | 2025 |
| Pattern detection and shape analysis for physiological timeseries T Germain Université Paris-Saclay, 2024 | | 2024 |
| OVD-SaaS: Online Verifiable Data Science as a Service, an architecture of microservices for industrial artificial-intelligence applications: Architecture and study cases JA Hernandez, T Germain, B Yadoughi, M Colom 2024 Sixth International Conference on Intelligent Computing in Data …, 2024 | | 2024 |
| Détection non supervisée de motifs sur séries temporelles T Germain, A Bois, C Truong, B Tervil, L Oudre | | |
| Approches non-supervisées et non-linéaires pour l’analyse de signaux de pléthysmographie T GERMAIN, C TRUONG, L OUDRE, E KREJCI | | |
