Weber Jonathan

Professor • HDR

Department & Team

Computer Science MSD

Responsibility

Team Head: MSD

Contact:

Nous écrire

Téléphone

3.43

Personal page

https://www.jonathan-weber.eu

Areas of Expertise

Deep Learning
Time series classification
Data Science
Machine Learning
Computer Vision
Pattern Recognition
Frugal AI

Description

I am full professor in Computer Science at the Université de Haute-Alsace in France. I am mainly interested in research problems involving temporal data analysis from different sources (sensors, image, text, etc.) mainly using deep learning approaches. Check my personal webpage for a more complete description of my work and a comprehensive listing of my publications (https://www.jonathan-weber.eu).

Publications

Mortar Trajectory Estimation by a Deep Error-State Kalman Filter in a GNSS-Denied Environment (2023) Conference paper

A. Roux, S. Changey, J. Weber, Jph. Lauffenburger

IEEE/ION Position Location and Navigation Symposium, ION PLANS 23
Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset (2022) Article

Romain Wenger, Anne Puissant, Jonathan Weber, Lhassane Idoumghar, Germain Forestier

Remote Sensing
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters (2022) Conference paper

Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier

IEEE International Conference on Big Data (Big Data)
Incremental constrained clustering with application to remote sensing images time series (2022) Conference paper

Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier

IEEE International Conference on Data Mining Incr'Learn Workshops
Projectile trajectory estimation: an LSTM approach (2022) Conference paper

Alicia Roux, Jonathan Weber, Jean-Philippe Lauffenburger, Sébastien Changey

Conference on Artificial Intelligence for Defense

Jonathan Weber

Areas of Expertise

Description

Publications