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2020 – today
- 2023
[j6]Tsegamlak Terefe
, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier:
Estimating time series averages from latent space of multi-tasking neural networks. Knowl. Inf. Syst. 65(11): 4967-5004 (2023)- [c20]Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier:
Enhancing Time Series Classification with Self-Supervised Learning. ICAART (3) 2023: 40-47 - [c19]Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder:
Named Entity Recognition for peer-review disambiguation in academic publishing. ICICT 2023: 105-114 - [c18]Mihreteab Negash Geletu, Danut-Vasile Giurgi, Thomas Josso-Laurain, Maxime Devanne, Mengesha Mamo Wogari, Jean-Philippe Lauffenburger:
Evidential deep learning-based multi-modal environment perception for intelligent vehicles. IV 2023: 1-6 - [i3]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:
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set. CoRR abs/2305.11921 (2023) - 2022
- [j5]Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Germain Forestier, Cédric Wemmert:
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation. Artif. Intell. Medicine 133: 102407 (2022) - [j4]Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder:
Semantics to the rescue of document-based XML diff: A JATS case study. Softw. Pract. Exp. 52(6): 1496-1516 (2022) - [c17]Gautier Pialla, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Germain Forestier:
Data Augmentation for Time Series Classification with Deep Learning Models. AALTD@ECML/PKDD 2022: 117-132 - [c16]Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier:
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters. IEEE Big Data 2022: 972-981 - [c15]Emel Ay, Maxime Devanne, Jonathan Weber, Germain Forestier:
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification. IJCNN 2022: 1-8 - [c14]Danut-Vasile Giurgi, Thomas Josso-Laurain, Maxime Devanne, Jean-Philippe Lauffenburger:
Real-time road detection implementation of UNet architecture for autonomous driving. IVMSP 2022: 1-5 - [c13]Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier:
Smooth Perturbations for Time Series Adversarial Attacks. PAKDD (1) 2022: 485-496 - [c12]Mouad Hamri, Maxime Devanne, Jonathan Weber, Michel Hassenforder:
Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers. RRPR 2022: 25-39 - [c11]Ilias Rmouque, Maxime Devanne, Jonathan Weber, Germain Forestier, Cédric Wemmert:
Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders. VISIGRAPP (4: VISAPP) 2022: 933-940 - 2021
- [j3]Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Germain Forestier, Cédric Wemmert:
Deep learning for colon cancer histopathological images analysis. Comput. Biol. Medicine 136: 104730 (2021) - [i2]Maxime Devanne, Sao Mai Nguyen, Olivier Rémy-Néris, Beatrice Le Gales-Garnett, Gilles Kermarrec, André Thépaut:
A co-design approach for a rehabilitation robot coach for physical rehabilitation based on the error classification of motion errors. CoRR abs/2111.09729 (2021) - 2020
- [c10]Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder:
Change Detection on JATS Academic Articles: An XML Diff Comparison Study. DocEng 2020: 5:1-5:10 - [c9]Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier:
Time Series Averaging Using Multi-Tasking Autoencoder. ICTAI 2020: 1065-1072
2010 – 2019
- 2019
- [c8]Maxime Devanne, Panagiotis Papadakis, Sao Mai Nguyen:
Recognition of Activities of Daily Living via Hierarchical Long-Short Term Memory Networks. SMC 2019: 3318-3324 - 2018
- [c7]Maxime Devanne, Sao Mai Nguyen:
Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical Limitations. ECCV Workshops (2) 2018: 190-197 - [c6]Maxime Devanne, Sao Mai Nguyen, Olivier Rémy-Néris, Beatrice Le Gales-Garnett, Gilles Kermarrec, André Thépaut:
A Co-design Approach for a Rehabilitation Robot Coach for Physical Rehabilitation Based on the Error Classification of Motion Errors. IRC 2018: 352-357 - [i1]Maxime Devanne, Sao Mai Nguyen:
Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand their Physical Limitations. CoRR abs/1810.04879 (2018) - 2017
- [j2]Maxime Devanne, Stefano Berretti, Pietro Pala, Hazem Wannous, Mohamed Daoudi, Alberto Del Bimbo:
Motion segment decomposition of RGB-D sequences for human behavior understanding. Pattern Recognit. 61: 222-233 (2017) - [c5]Maxime Devanne, Sao Mai Nguyen:
Multi-level motion analysis for physical exercises assessment in kinaesthetic rehabilitation. Humanoids 2017: 529-534 - 2016
- [c4]Maxime Devanne, Hazem Wannous, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala:
Learning shape variations of motion trajectories for gait analysis. ICPR 2016: 895-900 - [c3]Paul Audain Desrosiers, Mohamed Daoudi, Maxime Devanne:
Novel generative model for facial expressions based on statistical shape analysis of landmarks trajectories. ICPR 2016: 961-966 - 2015
- [b1]Maxime Devanne:
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). Lille University of Science and Technology, France, 2015 - [j1]Maxime Devanne, Hazem Wannous, Stefano Berretti, Pietro Pala, Mohamed Daoudi, Alberto Del Bimbo:
3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold. IEEE Trans. Cybern. 45(7): 1340-1352 (2015) - [c2]Maxime Devanne, Hazem Wannous, Pietro Pala, Stefano Berretti, Mohamed Daoudi, Alberto Del Bimbo:
Combined shape analysis of human poses and motion units for action segmentation and recognition. FG 2015: 1-6 - 2013
- [c1]Maxime Devanne, Hazem Wannous, Stefano Berretti, Pietro Pala, Mohamed Daoudi, Alberto Del Bimbo:
Space-Time Pose Representation for 3D Human Action Recognition. ICIAP Workshops 2013: 456-464
Coauthor Index
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last updated on 2023-09-28 02:29 CEST by the dblp team
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