Personal profile
Fingerprint
Dive into the research topics where Damien Bouchabou is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition
Bouchabou, D. & Nguyen, S. M., 16 Oct 2024, ECAI 2024 - 27th European Conference on Artificial Intelligence, Including 13th Conference on Prestigious Applications of Intelligent Systems, PAIS 2024, Proceedings. Endriss, U., Melo, F. S., Bach, K., Bugarin-Diz, A., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). IOS Press BV, p. 4764-4771 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 392).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
A Smart Home Digital Twin to Support the Recognition of Activities of Daily Living
Bouchabou, D., Grosset, J., Nguyen, S. M., Lohr, C. & Puig, X., 1 Sept 2023, In: Sensors (Switzerland). 23, 17, 7586.Research output: Contribution to journal › Article › peer-review
Open Access -
A survey of human activity recognition in smart homes based on iot sensors algorithms: Taxonomies, challenges, and opportunities with deep learning
Bouchabou, D., Nguyen, S. M., Lohr, C., Leduc, B. & Kanellos, I., 1 Sept 2021, In: Sensors (Switzerland). 21, 18, 6037.Research output: Contribution to journal › Review article › peer-review
Open Access -
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes
Bouchabou, D., Nguyen, S. M., Lohr, C., LeDuc, B. & Kanellos, I., 1 Jan 2021, Deep Learning for Human Activity Recognition - 2nd International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Proceedings. Li, X., Wu, M., Chen, Z. & Zhang, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 111-125 15 p. (Communications in Computer and Information Science; vol. 1370).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Using language model to bootstrap human activity recognition ambient sensors based in smart homes
Bouchabou, D., Nguyen, S. M., Lohr, C., Leduc, B. & Kanellos, I., 1 Oct 2021, In: Electronics (Switzerland). 10, 20, 2498.Research output: Contribution to journal › Article › peer-review
Open Access -
Mission oriented robust multi-team formation and its application to robot rescue simulation
Okimoto, T., Ribeiro, T., Bouchabou, D. & Inoue, K., 1 Jan 2016, In: IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 454-460 7 p.Research output: Contribution to journal › Conference article › peer-review