Space-Time Pose Representation for 3D Human Action Recognition. - Maxime Devanne; Hazem Wannous; Stefano Berretti; Pietro Pala; Mohamed Daoudi; Alberto Del Bimbo (ICIAP Workshops, 2013)

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 (FG, 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)

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)

Novel generative model for facial expressions based on statistical shape analysis of landmarks trajectories. - Paul Audain Desrosiers; Mohamed Daoudi; Maxime Devanne (ICPR, 2016)

Learning shape variations of motion trajectories for gait analysis. - Maxime Devanne; Hazem Wannous; Mohamed Daoudi; Stefano Berretti; Alberto Del Bimbo; Pietro Pala (ICPR, 2016)

Multi-level motion analysis for physical exercises assessment in kinaesthetic rehabilitation. - Maxime Devanne; Sao Mai Nguyen (Humanoids, 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)

Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical Limitations. - Maxime Devanne; Sao Mai Nguyen (ECCV Workshops (2), 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 (IRC, 2018)

Recognition of Activities of Daily Living via Hierarchical Long-Short Term Memory Networks. - Maxime Devanne; Panagiotis Papadakis; Sao Mai Nguyen (SMC, 2019)

Change Detection on JATS Academic Articles: An XML Diff Comparison Study. - Milos Cuculovic; Frédéric Fondement; Maxime Devanne; Jonathan Weber; Michel Hassenforder (DocEng, 2020)

Time Series Averaging Using Multi-Tasking Autoencoder. - Tsegamlak Terefe; Maxime Devanne; Jonathan Weber; Dereje Hailemariam; Germain Forestier (ICTAI, 2020)

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)

Data Augmentation for Time Series Classification with Deep Learning Models. - Gautier Pialla; Maxime Devanne; Jonathan Weber; Lhassane Idoumghar; Germain Forestier (AALTD@ECML/PKDD, 2022)

Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters. - Ali Ismail-Fawaz; Maxime Devanne; Jonathan Weber; Germain Forestier (IEEE Big Data, 2022)

A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification. - Emel Ay; Maxime Devanne; Jonathan Weber; Germain Forestier (IJCNN, 2022)

Real-time road detection implementation of UNet architecture for autonomous driving. - Danut-Vasile Giurgi; Thomas Josso-Laurain; Maxime Devanne; Jean-Philippe Lauffenburger (IVMSP, 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 (PAKDD (1), 2022)

Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers. - Mouad Hamri; Maxime Devanne; Jonathan Weber; Michel Hassenforder (RRPR, 2022)

Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders. - Ilias Rmouque; Maxime Devanne; Jonathan Weber; Germain Forestier; Cédric Wemmert (VISIGRAPP (4: VISAPP), 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)

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)

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 (AALTD@ECML/PKDD, 2023)

LITE: Light Inception with boosTing tEchniques for Time Series Classification. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (DSAA, 2023)

Enhancing Time Series Classification with Self-Supervised Learning. - Ali Ismail-Fawaz; Maxime Devanne; Jonathan Weber; Germain Forestier (ICAART (3), 2023)

Named Entity Recognition for peer-review disambiguation in academic publishing. - Milos Cuculovic; Frédéric Fondement; Maxime Devanne; Jonathan Weber; Michel Hassenforder (ICICT, 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 (IV, 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)

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., 2023)

Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (AALTD@ECML/PKDD, 2024)

Conflict Management in a Distance to Prototype-Based Evidential Deep Learning. - Mihreteab Negash Geletu; Danut-Vasile Giurgi; Thomas Josso-Laurain; Maxime Devanne; Jean-Philippe Lauffenburger; Jean Dezert (BELIEF, 2024)

COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification. - Oumaima Badi; Maxime Devanne; Ali Ismail-Fawaz; Javidan Abdullayev; Vincent Lemaire 001; Stefano Berretti; Jonathan Weber; Germain Forestier (IEEE Big Data, 2024)

LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (EGC, 2024)

Evidential Deep Learning For Sensor Fusion. - Mihreteab Negash Geletu; Jean-Philippe Lauffenburger; Thomas Josso-Laurain; Maxime Devanne; Mengesha Mamo Wogari (FUSION, 2024)

Fusion of Semantic Segmentation Models for Vehicle Perception Tasks. - Danut-Vasile Giurgi; Jean Dezert; Thomas Josso-Laurain; Maxime Devanne; Jean-Philippe Lauffenburger (FUSION, 2024)

A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural Networks. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (ICPRAI (2), 2024)

A Medical Low-Back Pain Physical Rehabilitation Database for Human Body Movement Analysis. - Sao Mai Nguyen; Maxime Devanne; Olivier Rémy-Néris; Mathieu Lempereur; André Thépaut (IJCNN, 2024)

Finding Foundation Models for Time Series Classification with a PreText Task. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (PAKDD (Workshops), 2024)

Document Information Extraction: An Analysis of Invoice Anatomy. - Mouad Hamri; Maxime Devanne; Jonathan Weber; Michel Hassenforder (Appl. Comput. Intell. Soft Comput., 2024)

A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis. - Sao Mai Nguyen; Maxime Devanne; Olivier Rémy-Néris; Mathieu Lempereur; André Thépaut (CoRR, 2024)

Look Into the LITE in Deep Learning for Time Series Classification. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (CoRR, 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., 2024)

A Comparative Study of CNNs and Vision-Language Models for Chart Image Classification. - Bruno Côme; Maxime Devanne; Jonathan Weber; Germain Forestier (ICAART (2), 2025)

Deep Neural Network Architectures for Advanced Hiking Map Generation. - Olivier Schirm; Maxime Devanne; Jonathan Weber; Arnaud Lecus; Germain Forestier; Cédric Wemmert (ICPRAM, 2025)

Establishing a unified evaluation framework for human motion generation: A comparative analysis of metrics. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (Comput. Vis. Image Underst., 2025)

Conflict management in a distance to prototype-based evidential neural network. - Danut-Vasile Giurgi; Mihreteab Negash Geletu; Thomas Josso-Laurain; Maxime Devanne; Jean-Philippe Lauffenburger; Jean Dezert (Int. J. Approx. Reason., 2025)

Time series adversarial attacks: an investigation of smooth perturbations and defense approaches. - Gautier Pialla; Hassan Ismail Fawaz; Maxime Devanne; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller; Christoph Bergmeir; Daniel F. Schmidt; Geoffrey I. Webb; Germain Forestier (Int. J. Data Sci. Anal., 2025)

Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (CoRR, 2025)

Failure Risk Prediction in a MOOC: A Multivariate Time Series Analysis Approach. - Anass El Ayady; Maxime Devanne; Germain Forestier; Nour El Mawas (CoRR, 2025)