| An architecture to support the collection of big data in the internet of things C Cecchinel, M Jimenez, S Mosser, M Riveill 2014 IEEE world congress on services, 442-449, 2014 | 214 | 2014 |
| Leveraging live machine learning and deep sleep to support a self-adaptive efficient configuration of battery powered sensors C Cecchinel, F Fouquet, S Mosser, P Collet Future Generation Computer Systems 92, 225-240, 2019 | 17 | 2019 |
| Software development support for shared sensing infrastructures: A generative and dynamic approach C Cecchinel, S Mosser, P Collet Software Reuse for Dynamic Systems in the Cloud and Beyond: 14th …, 2014 | 12 | 2014 |
| Automated deployment of data collection policies over heterogeneous shared sensing infrastructures C Cecchinel, S Mosser, P Collet 2016 23rd Asia-Pacific Software Engineering Conference (APSEC), 329-336, 2016 | 8 | 2016 |
| Process control combining machine learning and fingerprint approaches A Garnier, C Cecchinel, X Beudaert MM Science Journal, 2023 | | 2023 |
| DEPOSIT: une approche pour exprimer et déployer des politiques de collecte sur des infrastructures de capteurs hétérogènes et partagées C Cecchinel Université Côte d'Azur (ComUE), 2017 | | 2017 |
| Towards a (de) composable workflow architecture to define data collection policies C Cecchinel, S Mosser, P Collet Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1344-1346, 2016 | | 2016 |
Sébastien MosserAssociate Professor of Software Engineering, McMaster UniversityVerified email at mcmaster.ca
