Maxime Devanne

63 papers B 12C 4Journal 25Unranked 21
YearRankTypeTitle / Venue / Authors
2026 — conf
Adaptive Structured Pruning of Convolutional Neural Networks for Time Series Classification.
ICAART (4)
Javidan Abdullayev, Maxime Devanne, Cyril Meyer, Ali Ismail-Fawaz, Jonathan Weber, Germain Forestier
2026 J jnl
Adaptive Structured Pruning of Convolutional Neural Networks for Time Series Classification.
CoRR
Javidan Abdullayev, Maxime Devanne, Cyril Meyer, Ali Ismail-Fawaz, Jonathan Weber, Germain Forestier
2026 J jnl
Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles.
CoRR
Javidan Abdullayev, Maxime Devanne, Cyril Meyer, Ali Ismail-Fawaz, Jonathan Weber, Germain Forestier
2026 J jnl
The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification.
CoRR
Matthew Middlehurst, Aiden Rushbrooke, Ali Ismail-Fawaz, Maxime Devanne, Germain Forestier, Angus Dempster, Geoffrey I. Webb, Christopher Holder, Anthony J. Bagnall
2025 — conf
A Comparative Study of CNNs and Vision-Language Models for Chart Image Classification.
ICAART (2)
Bruno Côme, Maxime Devanne, Jonathan Weber, Germain Forestier
2025 — conf
A Deep Dive into Alternatives to the Global Average Pooling for Time Series Classification.
AALTD@ECML/PKDD
Cyril Meyer, Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier
2025 J jnl
Conflict management in a distance to prototype-based evidential neural network.
Int. J. Approx. Reason.
Danut-Vasile Giurgi, Mihreteab Negash Geletu, Thomas Josso-Laurain, Maxime Devanne, Jean-Philippe Lauffenburger, Jean Dezert
2025 J jnl
Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark.
CoRR
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2025 C conf
Deep Neural Network Architectures for Advanced Hiking Map Generation.
ICPRAM
Olivier Schirm, Maxime Devanne, Jonathan Weber, Arnaud Lecus, Germain Forestier, Cédric Wemmert
2025 B conf
Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles.
IJCNN
Javidan Abdullayev, Maxime Devanne, Cyril Meyer, Ali Ismail-Fawaz, Jonathan Weber, Germain Forestier
2025 J jnl
Establishing a unified evaluation framework for human motion generation: A comparative analysis of metrics.
Comput. Vis. Image Underst.
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2025 J jnl
Failure Risk Prediction in a MOOC: A Multivariate Time Series Analysis Approach.
CoRR
Anass El Ayady, Maxime Devanne, Germain Forestier, Nour El Mawas
2025 J jnl
Look into the LITE in deep learning for time series classification.
Int. J. Data Sci. Anal.
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2025 — conf
Re-framing Time Series Augmentation Through the Lens of Generative Models.
AALTD@ECML/PKDD
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2025 J jnl
Time series adversarial attacks: an investigation of smooth perturbations and defense approaches.
Int. J. Data Sci. Anal.
Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier
2024 B conf
A Medical Low-Back Pain Physical Rehabilitation Database for Human Body Movement Analysis.
IJCNN
Sao Mai Nguyen, Maxime Devanne, Olivier Rémy-Néris, Mathieu Lempereur, André Thépaut
2024 J jnl
A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis.
CoRR
Sao Mai Nguyen, Maxime Devanne, Olivier Rémy-Néris, Mathieu Lempereur, André Thépaut
2024 — conf
A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural Networks.
ICPRAI (2)
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 B conf
COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification.
IEEE Big Data
Oumaima Badi, Maxime Devanne, Ali Ismail-Fawaz, Javidan Abdullayev, Vincent Lemaire, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 — conf
Conflict Management in a Distance to Prototype-Based Evidential Deep Learning.
BELIEF
Mihreteab Negash Geletu, Danut-Vasile Giurgi, Thomas Josso-Laurain, Maxime Devanne, Jean-Philippe Lauffenburger, Jean Dezert
2024 J jnl
Correction: Estimating time series averages from latent space of multi-tasking neural networks.
Knowl. Inf. Syst.
Tsegamlak Terefe Debella, Maxime Devanne, Jonathan Weber, Dereje Hailemariam Woldegebreal, Germain Forestier
2024 J jnl
Document Information Extraction: An Analysis of Invoice Anatomy.
Appl. Comput. Intell. Soft Comput.
Mouad Hamri, Maxime Devanne, Jonathan Weber, Michel Hassenforder
2024 J jnl
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics.
CoRR
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 C conf
Evidential Deep Learning For Sensor Fusion.
FUSION
Mihreteab Negash Geletu, Jean-Philippe Lauffenburger, Thomas Josso-Laurain, Maxime Devanne, Mengesha Mamo Wogari
2024 — conf
Finding Foundation Models for Time Series Classification with a PreText Task.
PAKDD (Workshops)
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 C conf
Fusion of Semantic Segmentation Models for Vehicle Perception Tasks.
FUSION
Danut-Vasile Giurgi, Jean Dezert, Thomas Josso-Laurain, Maxime Devanne, Jean-Philippe Lauffenburger
2024 — conf
LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles.
EGC
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 J jnl
Look Into the LITE in Deep Learning for Time Series Classification.
CoRR
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 — conf
Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment.
AALTD@ECML/PKDD
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2023 J jnl
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.
CoRR
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
2023 — conf
Enhancing Time Series Classification with Self-Supervised Learning.
ICAART (3)
Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier
2023 J jnl
Estimating time series averages from latent space of multi-tasking neural networks.
Knowl. Inf. Syst.
Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier
2023 C conf
Evidential deep learning-based multi-modal environment perception for intelligent vehicles.
IV
Mihreteab Negash Geletu, Danut-Vasile Giurgi, Thomas Josso-Laurain, Maxime Devanne, Mengesha Mamo Wogari, Jean-Philippe Lauffenburger
2023 J jnl
Finding Foundation Models for Time Series Classification with a PreText Task.
CoRR
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2023 B conf
LITE: Light Inception with boosTing tEchniques for Time Series Classification.
DSAA
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2023 — conf
Named Entity Recognition for peer-review disambiguation in academic publishing.
ICICT
Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder
2023 — conf
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging.
AALTD@ECML/PKDD
Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier
2023 J jnl
ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging.
CoRR
Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier
2022 B conf
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification.
IJCNN
Emel Ay, Maxime Devanne, Jonathan Weber, Germain Forestier
2022 — conf
Data Augmentation for Time Series Classification with Deep Learning Models.
AALTD@ECML/PKDD
Gautier Pialla, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Germain Forestier
2022 B conf
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters.
IEEE Big Data
Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier
2022 — conf
Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers.
RRPR
Mouad Hamri, Maxime Devanne, Jonathan Weber, Michel Hassenforder
2022 — conf
Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders.
VISIGRAPP (4: VISAPP)
Ilias Rmouque, Maxime Devanne, Jonathan Weber, Germain Forestier, Cédric Wemmert
2022 — conf
Real-time road detection implementation of UNet architecture for autonomous driving.
IVMSP
Danut-Vasile Giurgi, Thomas Josso-Laurain, Maxime Devanne, Jean-Philippe Lauffenburger
2022 J jnl
Semantics to the rescue of document-based XML diff: A JATS case study.
Softw. Pract. Exp.
Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder
2022 — conf
Smooth Perturbations for Time Series Adversarial Attacks.
PAKDD (1)
Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier
2022 J jnl
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation.
Artif. Intell. Medicine
Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Germain Forestier, Cédric Wemmert
2021 J jnl
A co-design approach for a rehabilitation robot coach for physical rehabilitation based on the error classification of motion errors.
CoRR
Maxime Devanne, Sao Mai Nguyen, Olivier Rémy-Néris, Beatrice Le Gales-Garnett, Gilles Kermarrec, André Thépaut
2021 J jnl
Deep learning for colon cancer histopathological images analysis.
Comput. Biol. Medicine
Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Germain Forestier, Cédric Wemmert
2020 B conf
Change Detection on JATS Academic Articles: An XML Diff Comparison Study.
DocEng
Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder
2020 B conf
Time Series Averaging Using Multi-Tasking Autoencoder.
ICTAI
Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier
2019 B conf
Recognition of Activities of Daily Living via Hierarchical Long-Short Term Memory Networks.
SMC
Maxime Devanne, Panagiotis Papadakis, Sao Mai Nguyen
2018 — conf
A Co-design Approach for a Rehabilitation Robot Coach for Physical Rehabilitation Based on the Error Classification of Motion Errors.
IRC
Maxime Devanne, Sao Mai Nguyen, Olivier Rémy-Néris, Beatrice Le Gales-Garnett, Gilles Kermarrec, André Thépaut
2018 — conf
Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical Limitations.
ECCV Workshops (2)
Maxime Devanne, Sao Mai Nguyen
2018 J jnl
Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand their Physical Limitations.
CoRR
Maxime Devanne, Sao Mai Nguyen
2017 J jnl
Motion segment decomposition of RGB-D sequences for human behavior understanding.
Pattern Recognit.
Maxime Devanne, Stefano Berretti, Pietro Pala, Hazem Wannous, Mohamed Daoudi, Alberto Del Bimbo
2017 — conf
Multi-level motion analysis for physical exercises assessment in kinaesthetic rehabilitation.
Humanoids
Maxime Devanne, Sao Mai Nguyen
2016 B conf
Learning shape variations of motion trajectories for gait analysis.
ICPR
Maxime Devanne, Hazem Wannous, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala
2016 B conf
Novel generative model for facial expressions based on statistical shape analysis of landmarks trajectories.
ICPR
Paul Audain Desrosiers, Mohamed Daoudi, Maxime Devanne
2015 J jnl
3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold.
IEEE Trans. Cybern.
Maxime Devanne, Hazem Wannous, Stefano Berretti, Pietro Pala, Mohamed Daoudi, Alberto Del Bimbo
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
2015 B conf
Combined shape analysis of human poses and motion units for action segmentation and recognition.
FG
Maxime Devanne, Hazem Wannous, Pietro Pala, Stefano Berretti, Mohamed Daoudi, Alberto Del Bimbo
2013 — conf
Space-Time Pose Representation for 3D Human Action Recognition.
ICIAP Workshops
Maxime Devanne, Hazem Wannous, Stefano Berretti, Pietro Pala, Mohamed Daoudi, Alberto Del Bimbo