Maxime Devanne
Orcid: 0000-0002-1458-3855
According to our database1,
Maxime Devanne
authored at least 40 papers
between 2013 and 2024.
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Bibliography
2024
Correction: Estimating time series averages from latent space of multi-tasking neural networks.
Knowl. Inf. Syst., February, 2024
A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis.
CoRR, 2024
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics.
CoRR, 2024
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2024
A Medical Low-Back Pain Physical Rehabilitation Database for Human Body Movement Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the 27th International Conference on Information Fusion, 2024
Proceedings of the 27th International Conference on Information Fusion, 2024
LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles.
Proceedings of the Extraction et Gestion des Connaissances, 2024
Proceedings of the Belief Functions: Theory and Applications, 2024
2023
Knowl. Inf. Syst., November, 2023
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.
CoRR, 2023
Evidential deep learning-based multi-modal environment perception for intelligent vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the 6th International Conference on Information and Computer Technologies, 2023
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
2022
Softw. Pract. Exp., 2022
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation.
Artif. Intell. Medicine, 2022
Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers.
Proceedings of the Reproducible Research in Pattern Recognition, 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
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.
Proceedings of the International Joint Conference on Neural Networks, 2022
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022
2021
Comput. Biol. Medicine, 2021
2020
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
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.
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.
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.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
2017
Pattern Recognit., 2017
Multi-level motion analysis for physical exercises assessment in kinaesthetic rehabilitation.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017
2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Novel generative model for facial expressions based on statistical shape analysis of landmarks trajectories.
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).
PhD thesis, 2015
3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold.
IEEE Trans. Cybern., 2015
Combined shape analysis of human poses and motion units for action segmentation and recognition.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015
2013
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2013, 2013