Publications

Intelligent vehicles semantic segmentation using evidential deep learning (2023) Communication

Danut-Vasile Giurgi, Mihreteab Negash Geletu, Thomas Josso-Laurain, Maxime Devanne, Jean-Philippe Lauffenburger, Mengesha Mamo Wogari

Upper Rhine Artificial Intelligence Symposium 2023
Time series adversarial attacks: an investigation of smooth perturbations and defense approaches (2023) Article

Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F Schmidt, Geoffrey I Webb, Germain Forestier

International Journal of Data Science and Analytics
LITE: Light Inception with boosTing tEchniques for Time Series Classification (2023) Communication

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

IEEE International Conference on Data Science and Advanced Analytics (DSAA)
URAI Autumn School dedicated to time series classification from robotics applications : a tutorial in a trinational context (2023) Communication

T. Josso-Laurain, M. Devanne, Q. Boerlen, J. Ledy, Jph. Lauffenburger, J. Weber

5th "Upper Rhine Artificial Intelligence Symposium" (URAI)
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging (2023) Communication

Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I Webb, Germain Forestier

ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD)
Estimating time series averages from latent space of multi-tasking neural networks (2023) Article

Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier

Knowledge and Information Systems (KAIS)
Comparison of deep learning architectures for colon cancer mutation detection (2023) Communication

Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier

IEEE International Symposium on Computer Based Medical Systems (CBMS)
Evidential deep learning-based multi-modal environment perception for intelligent vehicles (2023) Communication

Mihreteab Negash Geletu, Dănuţ-Vasile Giurgi, Thomas Josso-Laurain, Maxime Devanne, Mengesha Mamo Wogari, Jean-Philippe Lauffenburger

2023 IEEE Intelligent Vehicles Symposium (IV)
Augmentation de données pour la classification de séries temporelles avec des modèles d'apprentissage profonds (2023) Communication

Gautier Pialla, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Germain Forestier

ORASIS 2023
Une approche multi-grilles pour la génération automatique d'une carte de sentiers de randonnée à partir de données GPS (2023) Communication

Olivier Schirm, Maxime Devanne, Jonathan Weber, Arnaud Lecus, Germain Forestier, Cédric Wemmert

ORASIS 2023

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Publications

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