| A survey of human activity recognition in smart homes based on IoT sensors algorithms: Taxonomies, challenges, and opportunities with deep learning D Bouchabou, SM Nguyen, C Lohr, B LeDuc, I Kanellos Sensors 21 (18), 6037, 2021 | 178 | 2021 |
| Fully convolutional network bootstrapped by word encoding and embedding for activity recognition in smart homes D Bouchabou, SM Nguyen, C Lohr, B Leduc, I Kanellos International Workshop on Deep Learning for Human Activity Recognition, 111-125, 2021 | 46 | 2021 |
| Using language model to bootstrap human activity recognition ambient sensors based in smart homes D Bouchabou, SM Nguyen, C Lohr, B LeDuc, I Kanellos Electronics 10 (20), 2498, 2021 | 42 | 2021 |
| Mission oriented robust multi-team formation and its application to robot rescue simulation T Okimoto, T Ribeiro, D Bouchabou, K Inoue Twenty-fifth international joint conference on artificial intelligence …, 2016 | 26 | 2016 |
| A smart home digital twin to support the recognition of activities of daily living D Bouchabou, J Grosset, SM Nguyen, C Lohr, X Puig Sensors 23 (17), 7586, 2023 | 17 | 2023 |
| Human Activity Recognition (HAR) in smart homes D Bouchabou, C Lohr, I Kanellos, SM Nguyen arXiv preprint arXiv:2112.11232, 2021 | 7* | 2021 |
| Representation of Irregularly Sampled Time Series with Generative Language Models for Classification and Transfer Learning D Bouchabou, C Lohr, B Leduc, I Kanellos ML4ITS 2023-Machine Learning for Irregular Time Series Workshop in ECML PKDD, 2023 | 2 | 2023 |
| Reconnaissance d’activités de la vie quotidienne au moyen de capteurs domotiques et d’apprentissage profond: lorsque syntaxe, sémantique et contexte se rencontrent D Bouchabou, C Lohr, I Kanellos, B LeDuc Revue Ouverte d'Intelligence Artificielle 4 (1), 129-156, 2023 | 2 | 2023 |
| Human activity recognition in smart homes: tackling data variability using context-dependent deep learning, transfer learning and data synthesis D Bouchabou Ecole nationale supérieure Mines-Télécom Atlantique, 2022 | 2 | 2022 |
| Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition D Bouchabou, SM Nguyen arXiv preprint arXiv:2412.19732, 2024 | | 2024 |
| Robust multi-team formation and its application to robot rescue simulation D BOUCHABOU, T RIBEIRO, T OKIMOTO, K INOUE 合同エージェントワークショップ & シンポジウム 2014 (JAWS 2014) 講演論文集, 209-212, 2014 | | 2014 |
| Generative Pretrained Embedding and Hierarchical Representation to Unlock Human Rhythm in Activities of Daily Living D Bouchabou | | |
Christophe LohrIMT Atlantique (ex. Telecom Bretagne), Lab-STICC UMR CNRS 6285بريد إلكتروني تم التحقق منه على imt-atlantique.fr