Scholar
Simon Bernard
Google Scholar ID: _8LanWkAAAAJ
Associate Professor (MCF), LITIS lab, Université Rouen Normandie, France
Machine Learning
Pattern Recognition
Ensemble Learning
Random Forests
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
858
H-index
13
i10-index
16
Publications
20
Co-authors
0
Contact
Email
simon.bernard@univ-rouen.fr
GitHub
Open ↗
LinkedIn
Open ↗
Publications
3 items
Predicting Patient Survival with Airway Biomarkers using nn-Unet/Radiomics
2025
Cited
0
TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning
International Conference on Learning Representations · 2024
Cited
1
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation
arXiv.org · 2023
Cited
0
Resume (English only)
Research Experience
2016–present: Member of the LITIS lab council
2017–present: Member of the Physics department council, University of Rouen Normandy
2023–present: Member of the Steering Committee of the NormanTHIIA project (CMA France 2030)
2024–present: In charge of Year 2 of the 'Intelligent Mobile and Embedded Systems' track in the Data Science Master’s program
2015–2024: In charge of Year 2 of the 'Electronics, Electrical Energy and Automation' Licence program
2021–2024: Member of the Research Committee and Academic Council of the University of Rouen Normandy
Background
Associate Professor (Maître de Conférence) at University of Rouen Normandy
Member of the Machine Learning team at LITIS lab (UR 4108)
Member of the 'Data, Learning, Knowledge' group in CNRS Research Federation NormaSTIC (FR 3638)
Research focuses on machine learning, especially ensemble learning and deep learning
Recent work emphasizes multi-view/multimodal learning and outlier/anomaly detection
Recently interested in machine learning for physics, including operator learning and physics-informed learning methods
Co-authors
0 total
Co-authors: 0 (list not available)
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up