Scholar
Maxime Devanne
Google Scholar ID: BDnAZRwAAAAJ
Associate Professor of Computer Science, Université de Haute Alsace
Citations & Impact
Citations
1,008
H-index
17
i10-index
23
Publications
20
Co-authors
29
list available
Publications
Resume (English only)
Academic Achievements
- 2025: Journal papers accepted in IJAR (vehicle perception fusion), CVIU (evaluation of generative models for human motion), and JDSA (multivariate time series classification)
- 2025: Conference paper accepted at IJCNN 2025 on diversity-driven time series classification
- 2024: Multiple conference papers accepted at IEEE BigData 2024, Fusion 2024, ICPRAI 2024, and IJCNN 2024
- 2024: Work on weighted averages of rehabilitation motion sequences accepted at AALTD Workshop (ECML-PKDD 2024)
- 2023–2025: Supervised successful PhD defenses of Mouad Hamri, Ali El Hadi Ismail Fawaz, Mihreteab Negash Geletu, Olivier Schirm, etc.
- Released public tools for visualizing 1D convolution kernels and a dedicated webpage on 'Deep Learning for Time Series Classification'
- Published arXiv preprints on a skeleton-based rehabilitation assessment archive and foundation models for time series classification
Background
- Associate Professor of Computer Science at Université de Haute Alsace, France
- Member of the MSD team at IRIMAS Laboratory
- Research focuses on machine learning and computer vision, particularly analysis of time series, human body motion, medical images, and 3D videos
- Applications span medicine, robotics, ambient assisted living, and autonomous vehicles
- Keywords: data science, computer vision, pattern recognition, machine learning, time series, human motion, deep learning
