| DeepVentilation: Learning to predict physical effort from breathing S Sen, P Bernabé, EJBLG Husom Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 2 | 2021 |
| Yolo4Apnea: real-time detection of obstructive sleep apnea S Hamnvik, P Bernabé, S Sen Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 2 | 2021 |
| Opening the software engineering toolbox for the assessment of trustworthy AI MK Ahuja, MB Belaid, P Bernabé, M Collet, A Gotlieb, C Lal, D Marijan, ... arXiv preprint arXiv:2007.07768, 2020 | 2 | 2020 |
| Improved Testing of AI-Based Anomaly Detection Systems Using Synthetic Surveillance Data A Chevrot, A Vernotte, P Bernabe, A Cretin, F Peureux, B Legeard Multidisciplinary Digital Publishing Institute Proceedings 59 (1), 9, 2020 | 1 | 2020 |
| Deep learning to predict power output from respiratory inductive plethysmography data EJBLG Husom, P Bernabé, S Sen Applied AI Letters 3 (2), e65, 2022 | | 2022 |
| Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract) P Bernabé, H Spieker, B Legeard, A Gotlieb Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15757 …, 2021 | | 2021 |
| Apprentissage auto-supervisé pour la détection d’actions illégales lors de la surveillance du trafic maritime P Bernabé, A Gotlieb, B Legeard, FO Sem-Jacobsen, H Spieker, ... Conférence Nationale d’Intelligence Artificielle Année 2021, 43, 2021 | | 2021 |
| ISSRE 2020 External Reviewers ASA Yelgundhalli, A Sharid, A Anwar, B Xu, C Zhu, C Pan, D Wang, ... | | |
| SARCOS Report Machine Learning Models for the Selection of Security Test Scenarios A Gotlieb, P Bernabé, D Marijan, H Spieker | | |
