Maxime Devanne
Présentation
Publications
Publications
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Prédiction du risque d'échec dans un MOOC : une approche basée sur l'analyse des séries temporelles multivariéesEnvironnements Informatiques pour l’Apprentissage Humain 2025, ATIEF, Jun 2025, Villeneuve d’Ascq (Lille), France. pp.416-426, ⟨10.48550/arXiv.2507.21118⟩ |
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A Comparative Study of CNNs and Vision-Language Models for Chart Image ClassificationInternational Conference on Agents and Artificial Intelligence (ICAART), Feb 2025, Porto, France. pp.816 - 827, ⟨10.5220/0013374500003890⟩ |
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Enhancing Time Series Classification with Diversity-Driven Neural Network EnsemblesIEEE International Joint Conference on Neural Networks (IJCNN), Jun 2025, Rome, France. pp.1-10, ⟨10.1109/IJCNN64981.2025.11228372⟩ |
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Étude Comparative des CNNs et des Vision-Language Models pour la Classification d'Images de GraphiquesORASIS 2025, ISEN Yncréa Ouest, Jun 2025, Le Croisic, France |
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Deep Neural Network Architectures for Advanced Hiking Map GenerationInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), Feb 2025, Porto, Portugal. pp.531-541, ⟨10.5220/0013351700003905⟩ |
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Finding Foundation Models for Time Series Classification with a PreText TaskPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) - International Workshop on Temporal Analytics, May 2024, Taipei, Taiwan. pp.123 - 135, ⟨10.1007/978-981-97-2650-9_10⟩ |
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COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series ClassificationIEEE International Conference on Big Data (BigData), Dec 2024, Washington, United States. pp.1229-1236, ⟨10.1109/BigData62323.2024.10825872⟩ |
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A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement AnalysisIJCNN 2024: International Joint Conference on Neural Networks, IEEE, Jun 2024, Yokohama, Japan. ⟨10.1109/IJCNN60899.2024.10650036⟩ |
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A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural NetworksInternational Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), Jul 2024, Jeju Island, South Korea. pp.166 - 181, ⟨10.1007/978-981-97-8705-0_11⟩ |
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Fusion of Semantic Segmentation Models for Vehicle Perception TasksFusion 2024, Jul 2024, Venise, Italy |
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Evidential Deep Learning For Sensor Fusion2024 27th International Conference on Information Fusion (FUSION), Jul 2024, Venise, Italy. pp.1-8, ⟨10.23919/FUSION59988.2024.10706424⟩ |
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Weighted Average of Human Motion Sequences for Improving Rehabilitation AssessmentECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD), Sep 2024, Vilnius, Lithuania. pp.131 - 146, ⟨10.1007/978-3-031-77066-1_8⟩ |
Evidential Deep Learning For Sensor Fusion2024 27th International Conference on Information Fusion (FUSION), Jul 2024, Venice, France. pp.1-8, ⟨10.23919/FUSION59988.2024.10706424⟩ |
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Conflict Management in a Distance to Prototype-Based Evidential Deep Learning8th International Conference on Belief Functions, Sep 2024, Belfast, United Kingdom. pp.87-97, ⟨10.1007/978-3-031-67977-3_10⟩ |
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Perception multimodale de l'environnement basée sur l'apprentissage profond évidentiel pour les véhicules intelligentsORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France |
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Enhancing Time Series Classification with Self-Supervised LearningInternational Conference on Agents and Artificial Intelligence (ICAART), Feb 2023, Lisbon, France. pp.40-47, ⟨10.5220/0011611300003393⟩ |
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Développement d'algorithmes d'intelligence artificielle pour du mapping vidéo sur une scène de théâtreDrôles d'objets 2023, May 2023, Nancy, France. ⟨10.48550/arXiv.2006.14668⟩ |
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Intelligent vehicles semantic segmentation using evidential deep learningUpper Rhine Artificial Intelligence Symposium 2023, Nov 2023, Mulhouse, France |
Evidential deep learning-based multi-modal environment perception for intelligent vehicles2023 IEEE Intelligent Vehicles Symposium (IV), Jun 2023, Anchorage, France. pp.1-6, ⟨10.1109/IV55152.2023.10186581⟩ |
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Augmentation de données pour la classification de séries temporelles avec des modèles d'apprentissage profondsORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France |
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ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter AveragingECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD), Sep 2023, Torino, Italy. pp.127 - 142, ⟨10.1007/978-3-031-49896-1_9⟩ |
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Une approche multi-grilles pour la génération automatique d'une carte de sentiers de randonnée à partir de données GPSORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France |
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LITE: Light Inception with boosTing tEchniques for Time Series ClassificationIEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2023, Thessaloniki, France. pp.1-10, ⟨10.1109/dsaa60987.2023.10302569⟩ |
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Apprentissage en Profondeur pour la Classification des Séries Temporelles à l'aide de Nouveaux Filtres de Convolution Créés ManuellementORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France |
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Ensemble clustering for histopathological images segmentation using convolutional autoencodersInternational Conference on Computer Vision Theory and Applications (VISAPP), Feb 2022, En ligne, France. pp.933-940, ⟨10.5220/0010835300003124⟩ |
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Deep Representation Learning for Cluster-Level Time Series ForecastingInternational Conference on Time Series and Forecasting (ITISE), Jun 2022, Gran Canaria, Spain. pp.22, ⟨10.3390/engproc2022018022⟩ |
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A study of Knowledge Distillation in Fully Convolutional Network for Time Series ClassificationInternational Joint Conference on Neural Networks (IJCNN), Jul 2022, Padua, France. pp.1-8, ⟨10.1109/IJCNN55064.2022.9892915⟩ |
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Data Augmentation for Time Series Classification with Deep Learning ModelsECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2022, Grenoble, France. pp.117 - 132, ⟨10.1007/978-3-031-24378-3_8⟩ |
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Deep Learning Based Architecture Reduction on Camera-Lidar Fusion for Autonomous Vehicles2022 2nd International Conference on Computers and Automation (CompAuto), IEEE, Aug 2022, Paris, France. pp.25-31, ⟨10.1109/CompAuto55930.2022.00012⟩ |
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Real-time road detection implementation of UNet architecture for autonomous driving2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Jun 2022, Nafplio, Greece. pp.1-5, ⟨10.1109/ivmsp54334.2022.9816237⟩ |
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Deep Learning For Time Series Classification Using New Hand-Crafted Convolution FiltersIEEE International Conference on Big Data (Big Data), Dec 2022, Osaka, Japan. pp.972-981, ⟨10.1109/bigdata55660.2022.10020496⟩ |
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Smooth Perturbations for Time Series Adversarial AttacksPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2022, Chengdu, China. pp.485 - 496, ⟨10.1007/978-3-031-05933-9_38⟩ |
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Auto-encodeur multi-tâches pour le calcul de moyennes de séries temporellesAtelier Apprentissage profond: Théorie et Applications (APTA), Journées Francophones Extraction et Gestion des Connaissances (EGC), Jan 2021, Montpellier, France |
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Segmentation non-supervisée d'images histopathologiques à l'aide d'auto-encodeurs et d'ensemble clusteringAtelier Apprentissage profond: Théorie et Applications (APTA), Journées Francophones Extraction et Gestion des Connaissances (EGC), Jan 2021, Montpellier, France |
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Time Series Averaging Using Multi-Tasking AutoencoderIEEE International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2020, Baltimore, MD, United States. pp.1065-1072, ⟨10.1109/ictai50040.2020.00163⟩ |
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Change Detection on JATS Academic Articles: An XML Diff Comparison StudyDocEng '20, Sep 2020, En ligne, United States. pp.1-10, ⟨10.1145/3395027.3419581⟩ |
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Recognition of Activities of Daily Living via Hierarchical Long-Short Term Memory NetworksSMC 2019 : IEEE International Conference on Systems, Man, and Cybernetics, Oct 2019, Bari, Italy. ⟨10.1109/SMC.2019.8914457⟩ |
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Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand their Physical LimitationsIEEE ECCV Workshop on Transferring and Adapting Source Knowledge in Computer Vision (TASK-CV), Sep 2018, Munich, Germany. pp.190-197, ⟨10.1007/978-3-030-11012-3_15⟩ |
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A co-design approach for a rehabilitation robot coach for physical rehabilitation based on the error classification of motion errorsIRC 2018 : Second IEEE International Conference on Robotic Computing, Jan 2018, Laguna Hills, CA,, United States. ⟨10.1109/IRC.2018.00074⟩ |
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Multi-level Motion Analysis for Physical Exercises Assessment in Kinaesthetic RehabilitationHumanoids 2017 : IEEE-RAS 17th International Conference on Humanoid Robots, Nov 2017, Birmingham, United Kingdom. ⟨10.1109/HUMANOIDS.2017.8246923⟩ |
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Novel Generative Model for Facial Expressions Based on Statistical Shape Analysis of Landmarks Trajectories23rd International Conference on Pattern Recognition, ICPR 2016, International Association for Pattern Recognition, Dec 2016, Cancún, Mexico. pp.961 - 966, ⟨10.1109/ICPR.2016.7899760⟩ |
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Learning Shape Variations of Motion Trajectories for Gait AnalysisInternational Conference on Pattern Recognition (ICPR 2016), Dec 2016, Cancun, Mexico. pp.895 - 900, ⟨10.1109/ICPR.2016.7899749⟩ |
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Combined Shape Analysis of Human Poses and Motion Units for Action Segmentation and RecognitionInternational Workshop on Understanding Human Activities through 3D Sensors (UHA3DS'15) hosted by IEEE International Conference on Automatic Face and Gesture Recognition, May 2015, Ljubljana, Slovenia |
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Reconnaissance d’actions humaines 3D par l’analyse de forme des trajectoires de mouvement.Compression et Représentation des Signaux Audiovisuels (CORESA), Nov 2014, Reims, France |
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Space-time Pose Representation for 3D Human Action RecognitionICIAP Workshop on Social Behaviour Analysis, Sep 2013, Naples, France. pp.1 |
Rééducation fonctionnelle assistée par robot humanoïdeRobots, de nouveaux partenaires de soins psychiques, ERES, pp.157-165, 2018, ⟨10.3917/eres.tisse.2018.02.0157⟩ |
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Human-Robot Interaction in senior health care: a qualitative cases-study research on seniors experiencing a robot-coached functional rehabilitation exercise2019 |
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3D Human Behavior Understanding by Shape Analysis of Human Motion and PoseComputer Science [cs]. Université Lille 1 - Sciences et Technologies, 2015. English. ⟨NNT : ⟩ |
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A Physical Rehabilitation Robot Coaching Patients: a Long-Term Dataset for Body Movement AnalysisIROS 2024 LBR, Oct 2024, Abu Dhabi, United Arab Emirates |
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Computational Modeling of Human Social IntentionECCV, 1st Workshop on Action and Anticipation for Visual Learning, Oct 2016, Amsterdam, Netherlands. ⟨10.1007/978-3-540-69162-4_20⟩ |