Publications

A congested capacitated location problem with continuous network demand (2022) Article

Mahmoud Golabi, Seyed Mahdi Shavarani, Lhassane Idoumghar

RAIRO - Operations Research
Image Style Transferred to Graphical User Interfaces (2022) Conference paper

Karim Hammoudi, Adnane Cabani, Halim Benhabiles, Mahmoud Melkemi

International Conference on Innovative Computing and Communications
Deep Learning Based Architecture Reduction on Camera-Lidar Fusion for Autonomous Vehicles (2022) Conference paper

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

2022 2nd International Conference on Computers and Automation (CompAuto)
Sentiment Analysis Based on Deep Learning in E-Commerce (2022) Conference paper

Ameni Chamekh, Mariem Mahfoudh, Germain Forestier

International Conference on Knowledge Science, Engineering and Management (KSEM)
Deep Learning-Based Sentiment Analysis for Predicting Financial Movements (2022) Conference paper

Hadhami Mejbri, Mariem Mahfoudh, Germain Forestier

International Conference on Knowledge Science, Engineering and Management (KSEM)
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification (2022) Conference paper

Emel Ay, Maxime Devanne, Jonathan Weber, Germain Forestier

International Joint Conference on Neural Networks (IJCNN)
Deep Clustering Methods Study Applied to Satellite Images Time Series (2022) Conference paper

Baptiste Lafabregue, Anne Puissant, Jonathan Weber, Germain Forestier

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Etude des paramètres de transmission en LoRa et des stratégies associées (2022) Conference paper

Sebastien Bindel

Journées LPWAN
Méthodes de classification du cancer du sein pour les microscopes à réalité augmentée (2022) Conference paper

Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier

RFIAP 2022 (Congrès Reconnaissance des Formes, Image, Apprentissage et Perception)
Deep Representation Learning for Cluster-Level Time Series Forecasting (2022) Conference paper

Tsegamlak Debella, Bethelhem Shawel, Maxime Devanne, Jonathan Weber, Dereje Woldegebreal, Sofie Pollin, Germain Forestier

International Conference on Time Series and Forecasting (ITISE)

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Publications

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