Pierre Bernabé
Affiliated PhD student
- Department
- Validation Intelligence for Autonomous Software Systems
- Organisation
- Simula Research Laboratory
- Research Interests
- Artificial Intelligence Machine Learning Representation Learning Anomaly detection
Publications
2023
Journal Articles
P. Bernabé, A. Gotlieb, B. Legeard, D. Marijan, F. O. Sem-Jacobsen and H. Spieker
Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning
IEEE Transactions on Intelligent Transportation Systems
2022
Journal Articles
E. J. Husom, P. Bernabé and S. Sen
Deep learning to predict power output from respiratory inductive plethysmography data
Applied AI Letters
2021
Proceedings, refereed
P. Bernabé, A. Gotlieb, B. Legeard, F. O. Sem-Jacobsen and H. Spieker
Apprentissage auto-supervisé pour la détection d’actions illégales lors de la surveillance du trafic maritime
Applications Pratiques de l’Intelligence Artificielle
M. K. Ahuja, M. B. Belaid, P. Bernabé, A. Gotlieb, D. Marijan, A. Sharif and H. Spieker
Improving the Reliability of Autonomous Software Systems through Metamorphic Testing
Proceedings of the 31st European Safety and Reliability Conference (ESREL)
P. Bernabé, H. Spieker, B. Legeard and A. Gotlieb
Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)
Proceedings of the AAAI Conference on Artificial Intelligence
Posters
P. Bernabé, H. Spieker, A. Gotlieb and B. Legeard
Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)
2020
Proceedings, refereed
S. Sen, P. Bernabé and E. J. Husom
DeepVentilation: Learning to Predict Physical Effort from Breathing
The Twenty-Ninth International Joint Conference on Artificial Intelligence Demos
S. Sen, P. Bernabé and S. Hamnvik
Yolo4Apnea: Real-time Detection of Obstructive Sleep Apnea
The Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20)
A. Chevrot, A. Vernotte, P. Bernabé, A. Cretin, F. Peureux and B. Legeard
Improved Testing of AI-Based Anomaly Detection Systems Using Synthetic Surveillance Data
OpenSky Symposium
M. K. Ahuja, M. B. Belaid, P. Bernabé, M. Collet, A. Gotlieb, C. Lal, D. Marijan, S. Sen, A. Sharif and H. Spieker
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI
1st International Workshop on New Foundations for Human-Centered AI @ ECAI 2020
Posters
S. Sen, P. Bernabé and S. Hamnvik
Yolo4Apnea: Real-time Detection of Obstructive Sleep Apnea
S. Sen, P. Bernabé and E. J. Husom
DeepVentilation: Learning to Predict Physical Effort from Breathing
P. Bernabé, A. Gotlieb and B. Legeard
Detection of False Data Injection in AIS Vessels Communication Using Machine Learning
Talks, contributed
A. Cretin, A. Vernotte, A. Chevrot, F. Peureux, B. Legeard and P. Bernabé
Improved Testing of AI-Based Anomaly Detection Systems Using Synthetic Surveillance Data
OpenSky Symposium
2019
Technical reports
A. Gotlieb, P. Bernabé, D. Marijan and H. Spieker
SARCoS: Machine Learning Models for the Selection of Security Test Scenarios
Talks, contributed
P. Bernabé, H. Spieker, A. Gotlieb, D. Marijan and B. Legeard
Statistics AIS Dataset from Statsat
Simula Research Laboratory