Maxime Devanne

According to our database, Maxime Devanne authored at least 32 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correction: Estimating time series averages from latent space of multi-tasking neural networks.

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

Knowl. Inf. Syst., February, 2024

2023

Estimating time series averages from latent space of multi-tasking neural networks.

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

Knowl. Inf. Syst., November, 2023

Finding Foundation Models for Time Series Classification with a PreText Task.

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

CoRR, 2023

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.

Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan, Matthieu Herrmann, Lynn Miller, Daniel F. Schmidt, Stefano Berretti, Jonathan Weber, Maxime Devanne, Germain Forestier, Geoffrey I. Webb

CoRR, 2023

Evidential deep learning-based multi-modal environment perception for intelligent vehicles.

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

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Named Entity Recognition for peer-review disambiguation in academic publishing.

Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder

Proceedings of the 6th International Conference on Information and Computer Technologies, 2023

Enhancing Time Series Classification with Self-Supervised Learning.

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

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

LITE: Light Inception with boosTing tEchniques for Time Series Classification.

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

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging.

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

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

Semantics to the rescue of document-based XML diff: A JATS case study.

Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder

Softw. Pract. Exp., 2022

Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation.

Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Germain Forestier, Cédric Wemmert

Artif. Intell. Medicine, 2022

Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders.

Ilias Rmouque, Maxime Devanne, Jonathan Weber, Germain Forestier, Cédric Wemmert

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers.

Mouad Hamri, Maxime Devanne, Jonathan Weber, Michel Hassenforder

Proceedings of the Reproducible Research in Pattern Recognition, 2022

Smooth Perturbations for Time Series Adversarial Attacks.

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Real-time road detection implementation of UNet architecture for autonomous driving.

Danut-Vasile Giurgi, Thomas Josso-Laurain, Maxime Devanne, Jean-Philippe Lauffenburger

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification.

Emel Ay, Maxime Devanne, Jonathan Weber, Germain Forestier

Proceedings of the International Joint Conference on Neural Networks, 2022

Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters.

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

Proceedings of the IEEE International Conference on Big Data, 2022

Data Augmentation for Time Series Classification with Deep Learning Models.

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

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021

Deep learning for colon cancer histopathological images analysis.

Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Germain Forestier, Cédric Wemmert

Comput. Biol. Medicine, 2021

2020

Time Series Averaging Using Multi-Tasking Autoencoder.

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

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Change Detection on JATS Academic Articles: An XML Diff Comparison Study.

Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder

Proceedings of the DocEng '20: ACM Symposium on Document Engineering 2020, Virtual Event, CA, USA, September 29, 2020

2019

Recognition of Activities of Daily Living via Hierarchical Long-Short Term Memory Networks.

Maxime Devanne, Panagiotis Papadakis, Sao Mai Nguyen

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

A Co-design Approach for a Rehabilitation Robot Coach for Physical Rehabilitation Based on the Error Classification of Motion Errors.

Maxime Devanne, Sao Mai Nguyen, Olivier Rémy-Néris, Beatrice Le Gales-Garnett, Gilles Kermarrec, André Thépaut

Proceedings of the Second IEEE International Conference on Robotic Computing, 2018

Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical Limitations.

Maxime Devanne, Sao Mai Nguyen

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Motion segment decomposition of RGB-D sequences for human behavior understanding.

Maxime Devanne, Stefano Berretti, Pietro Pala, Hazem Wannous, Mohamed Daoudi, Alberto Del Bimbo

Pattern Recognit., 2017

Multi-level motion analysis for physical exercises assessment in kinaesthetic rehabilitation.

Maxime Devanne, Sao Mai Nguyen

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

2016

Learning shape variations of motion trajectories for gait analysis.

Maxime Devanne, Hazem Wannous, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Novel generative model for facial expressions based on statistical shape analysis of landmarks trajectories.

Paul Audain Desrosiers, Mohamed Daoudi, Maxime Devanne

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

3D Human Behavior Understanding by Shape Analysis of Human Motion and Pose. (Compréhension de comportements humains 3D par l'analyse de forme de la posture et du mouvement / Comprensione del comportamento umano 3D attraverso l'analisi di forma del movimento e della posa).

Maxime Devanne

PhD thesis, 2015

3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold.

Maxime Devanne, Hazem Wannous, Stefano Berretti, Pietro Pala, Mohamed Daoudi, Alberto Del Bimbo

IEEE Trans. Cybern., 2015

Combined shape analysis of human poses and motion units for action segmentation and recognition.

Maxime Devanne, Hazem Wannous, Pietro Pala, Stefano Berretti, Mohamed Daoudi, Alberto Del Bimbo

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2013

Space-Time Pose Representation for 3D Human Action Recognition.

Maxime Devanne, Hazem Wannous, Stefano Berretti, Pietro Pala, Mohamed Daoudi, Alberto Del Bimbo

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2013, 2013