Pierre
Bernabé
Affiliated PhD student
Publications
2022
Journal Article
Deep learning to predict power output from respiratory inductive plethysmography data
Applied AI Letters 3, no. 2 (2022): e65.Status: Published
Deep learning to predict power output from respiratory inductive plethysmography data
Applied AI Letters 3, no. 2 (2022): e65.
Status: Published
| Afilliation | Software Engineering, Machine Learning |
| Project(s) | Department of Validation Intelligence for Autonomous Software Systems |
| Publication Type | Journal Article |
| Year of Publication | 2022 |
| Journal | Applied AI Letters |
| Volume | 3 |
| Issue | 2 |
| Pagination | e65 |
| Date Published | 04/2022 |
| Publisher | Wiley |
| Keywords | breathing, deep learning, Machine learning, power estimation, respiratory inductive plethysmography |
| DOI | 10.1002/ail2.65 |
2021
Proceedings, refereed
Apprentissage auto-supervisé pour la détection d’actions illégales lors de la surveillance du trafic maritime
In Applications Pratiques de l’Intelligence Artificielle. AFIA, 2021.Status: Published
Apprentissage auto-supervisé pour la détection d’actions illégales lors de la surveillance du trafic maritime
In Applications Pratiques de l’Intelligence Artificielle. AFIA, 2021.
Status: Published
| Afilliation | Software Engineering, Machine Learning |
| Project(s) | T-Sar, Department of Validation Intelligence for Autonomous Software Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2021 |
| Conference Name | Applications Pratiques de l’Intelligence Artificielle |
| Publisher | AFIA |
Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)
In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. AAAI, 2021.Status: Published
Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)
In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. AAAI, 2021.
Status: Published
| Afilliation | Software Engineering |
| Project(s) | T-Sar, Department of Validation Intelligence for Autonomous Software Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2021 |
| Conference Name | Proceedings of the AAAI Conference on Artificial Intelligence |
| Volume | 35 |
| Pagination | 15757-15758 |
| Publisher | AAAI |
Improving the Reliability of Autonomous Software Systems through Metamorphic Testing
In Proceedings of the 31st European Safety and Reliability Conference (ESREL). ESREL, 2021.Status: Published
Improving the Reliability of Autonomous Software Systems through Metamorphic Testing
In Proceedings of the 31st European Safety and Reliability Conference (ESREL). ESREL, 2021.
Status: Published
| Afilliation | Software Engineering |
| Project(s) | Department of Validation Intelligence for Autonomous Software Systems, Testing of Learning Robots (T-LARGO) , Testing of Learning Robots (T-Largo) |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2021 |
| Conference Name | Proceedings of the 31st European Safety and Reliability Conference (ESREL) |
| Pagination | 1-page abstract |
| Publisher | ESREL |
| ISBN Number | ISBN: 978-981-18-2016-8 |
Poster
Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)
AAAI Conference on Artificial Intelligence (AAAI-21), Student Abstract and Poster Program, 2021.Status: Published
Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)
AAAI Conference on Artificial Intelligence (AAAI-21), Student Abstract and Poster Program, 2021.
Status: Published
| Afilliation | Software Engineering, Machine Learning |
| Project(s) | Department of Validation Intelligence for Autonomous Software Systems, T-Sar |
| Publication Type | Poster |
| Year of Publication | 2021 |
| Place Published | AAAI Conference on Artificial Intelligence (AAAI-21), Student Abstract and Poster Program |
2020
Poster
DeepVentilation: Learning to Predict Physical Effort from Breathing
International Joint Conference on Artificial Intelligence Demos, 2020.Status: Published
DeepVentilation: Learning to Predict Physical Effort from Breathing
International Joint Conference on Artificial Intelligence Demos, 2020.
Status: Published
| Afilliation | Software Engineering, Machine Learning |
| Project(s) | Department of Validation Intelligence for Autonomous Software Systems |
| Publication Type | Poster |
| Year of Publication | 2020 |
| Place Published | International Joint Conference on Artificial Intelligence Demos |
Detection of False Data Injection in AIS Vessels Communication Using Machine Learning
FEMTO-ST Institute, Besancon, France, 2020.Status: Published
Detection of False Data Injection in AIS Vessels Communication Using Machine Learning
FEMTO-ST Institute, Besancon, France, 2020.
Status: Published
| Afilliation | Software Engineering |
| Project(s) | T-Sar, Department of Validation Intelligence for Autonomous Software Systems |
| Publication Type | Poster |
| Year of Publication | 2020 |
| Place Published | FEMTO-ST Institute, Besancon, France |
Contact person(s) for publication:
Yolo4Apnea: Real-time Detection of Obstructive Sleep Apnea
International Joint Conference on Artificial Intelligence Demos, 2020.Status: Published
Yolo4Apnea: Real-time Detection of Obstructive Sleep Apnea
International Joint Conference on Artificial Intelligence Demos, 2020.
Status: Published
| Afilliation | Software Engineering, Machine Learning |
| Project(s) | Department of Validation Intelligence for Autonomous Software Systems |
| Publication Type | Poster |
| Year of Publication | 2020 |
| Place Published | International Joint Conference on Artificial Intelligence Demos |
Proceedings, refereed
DeepVentilation: Learning to Predict Physical Effort from Breathing
In The Twenty-Ninth International Joint Conference on Artificial Intelligence Demos. IJCAI, 2020.Status: Published
DeepVentilation: Learning to Predict Physical Effort from Breathing
In The Twenty-Ninth International Joint Conference on Artificial Intelligence Demos. IJCAI, 2020.
Status: Published
| Afilliation | Software Engineering |
| Project(s) | Department of Validation Intelligence for Autonomous Software Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2020 |
| Conference Name | The Twenty-Ninth International Joint Conference on Artificial Intelligence Demos |
| Pagination | 5231-5233 |
| Publisher | IJCAI |
| URL | https://www.ijcai.org/Proceedings/2020/753 |
| DOI | 10.24963 |
Improved Testing of AI-Based Anomaly Detection Systems Using Synthetic Surveillance Data
In OpenSky Symposium. MDPI, 2020.Status: Published
Improved Testing of AI-Based Anomaly Detection Systems Using Synthetic Surveillance Data
In OpenSky Symposium. MDPI, 2020.
Status: Published
| Afilliation | Software Engineering |
| Project(s) | T-Sar, Department of Validation Intelligence for Autonomous Software Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2020 |
| Conference Name | OpenSky Symposium |
| Publisher | MDPI |
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI
In 1st International Workshop on New Foundations for Human-Centered AI @ ECAI 2020. CEUR Workshop Proceedings, 2020.Status: Published
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI
In 1st International Workshop on New Foundations for Human-Centered AI @ ECAI 2020. CEUR Workshop Proceedings, 2020.
Status: Published
Abstract
Trustworthiness is a central requirement for the acceptance and success of human-centered artificial intelligence (AI). To deem an AI system as trustworthy, it is crucial to assess its behaviour and characteristics against a gold standard of Trustworthy AI, consisting of guidelines, requirements, or only expectations. While AI systems are highly complex, their implementations are still based on software. The software engineering community has a long-established toolbox for the assessment of software systems, especially in the context of software testing. In this paper, we argue for the application of software engineering and testing practices for the assessment of trustworthy AI. We make the connection between the seven key requirements as defined by the European Commission's AI high-level expert group and established procedures from software engineering and raise questions for future work.
| Afilliation | Software Engineering |
| Project(s) | Department of Validation Intelligence for Autonomous Software Systems, AI4EU |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2020 |
| Conference Name | 1st International Workshop on New Foundations for Human-Centered AI @ ECAI 2020 |
| Pagination | 67-70 |
| Date Published | 08/2020 |
| Publisher | CEUR Workshop Proceedings |
| Other Numbers | arXiv:2007.07768 |
| URL | http://ceur-ws.org/Vol-2659/ahuja.pdf |
Yolo4Apnea: Real-time Detection of Obstructive Sleep Apnea
In The Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20). IJCAI, 2020.Status: Published
Yolo4Apnea: Real-time Detection of Obstructive Sleep Apnea
In The Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20). IJCAI, 2020.
Status: Published
| Afilliation | Software Engineering |
| Project(s) | Department of Validation Intelligence for Autonomous Software Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2020 |
| Conference Name | The Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20) |
| Publisher | IJCAI |
| URL | https://www.ijcai.org/Proceedings/2020/754 |
| DOI | 10.24963 |
Talks, contributed
Improved Testing of AI-Based Anomaly Detection Systems Using Synthetic Surveillance Data
In OpenSky Symposium, 2020.Status: Published
Improved Testing of AI-Based Anomaly Detection Systems Using Synthetic Surveillance Data
In OpenSky Symposium, 2020.
Status: Published
| Afilliation | Software Engineering, Machine Learning |
| Project(s) | T-Sar, Department of Validation Intelligence for Autonomous Software Systems |
| Publication Type | Talks, contributed |
| Year of Publication | 2020 |
| Location of Talk | OpenSky Symposium |
2019
Technical reports
SARCoS: Machine Learning Models for the Selection of Security Test Scenarios
Simula Research Laboratory, 2019.Status: Accepted
SARCoS: Machine Learning Models for the Selection of Security Test Scenarios
Simula Research Laboratory, 2019.
Status: Accepted
| Afilliation | Software Engineering |
| Project(s) | T-Sar |
| Publication Type | Technical reports |
| Year of Publication | 2019 |
| Publisher | Simula Research Laboratory |
Contact person(s) for publication:
Talks, contributed
Statistics AIS Dataset from Statsat
In Simula Research Laboratory, 2019.Status: Published
Statistics AIS Dataset from Statsat
In Simula Research Laboratory, 2019.
Status: Published
| Afilliation | Software Engineering, Machine Learning |
| Project(s) | T-Sar, Department of Validation Intelligence for Autonomous Software Systems |
| Publication Type | Talks, contributed |
| Year of Publication | 2019 |
| Location of Talk | Simula Research Laboratory |