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  1. Wu, Yujin [Author] ; Université de Lille (2022-.) [Contributor]; Daoudi, Mohamed [Contributor]; Amad, Ali [Contributor]

    Reconnaissance multimodale des émotions à partir de signaux physiologiques et d'expressions faciales ; Multimodal emotion recognition from physiological signals and facial expressions

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    theses.fr, 2023-04-13

  2. Vila, Gaël [Author] ; Université Grenoble Alpes [Contributor]; Godin, Christelle [Contributor]; Charbonnier, Sylvie [Contributor]

    Modèle Boîte-Blanche pour l'Evaluation du Stress à Partir de Mesures Physiologiques et Applicabilité en Vie Réelle ; White-box model for human stress assessment from physiological signals and real-life feasibility

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    theses.fr, 2021-03-18

  3. Yang, Wenlu [Author] ; Sorbonne université [Contributor]; Marsala, Christophe [Contributor]; Pinna, Andrea [Contributor]; Rifqi, Maria [Contributor]

    Personalized physiological-based emotion recognition and implementation on hardware ; Reconnaissance des émotions personnalisée à partir des signaux physiologiques et implémentation sur matériel

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    theses.fr, 2018-02-27

  4. Moreau, Thomas [Author] ; Université Paris-Saclay (ComUE) [Contributor]; Vayatis, Nicolas [Contributor]; Oudre, Laurent [Contributor]

    Représentations Convolutives Parcimonieuses -- application aux signaux physiologiques et interpétabilité de l'apprentissage profond ; Convolutional Sparse Representations -- application to physiological signals and interpretability for Deep Learning

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    theses.fr, 2017-12-19

  5. Ben Chaabane, Nawel [Author] ; Brest [Contributor]; Cochener, Béatrice [Contributor]

    Analyse de signaux physiologiques pour la prédiction de l'évolution pathologique par intelligence atificielle. Application à la maladie de Parkinson et à l'analyse quantifiée de la marche ; Analysis of physiological signals for the prediction of pathological evolution by artificial intelligence. Application to Parkinson’s disease and quantified gait analysis

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    theses.fr, 2023-12-01

  6. Azar, Joseph [Author] ; Bourgogne Franche-Comté [Contributor]; Couturier, Raphaël [Contributor]; Makhoul, Abdallah [Contributor]

    Data compression and deep learning for IoT healthcare applications based on physiological signals ; Compression de données et apprentissage en profondeur pour les applications de santé IoT basées sur des signaux physiologiques

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    theses.fr, 2020-10-09

  7. Truong, Charles [Author] ; Université Paris-Saclay (ComUE) [Contributor]; Vayatis, Nicolas [Contributor]; Oudre, Laurent [Contributor]

    Détection de ruptures multiples – application aux signaux physiologiques. ; Multiple change point detection – application to physiological signals

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    theses.fr, 2018-11-29

  9. Sahki, Nassim [Author] ; Université de Lorraine [Contributor]; Gégout-Petit, Anne [Contributor]; Wantz Mézières, Sophie [Contributor]

    Méthodologie data-driven de détection séquentielle de ruptures pour des signaux physiologiques ; Data-driven methodology for sequential change-point detection for physiological signals

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    theses.fr, 2021-11-29

  10. Appriou, Aurélien [Author] ; Bordeaux [Contributor]; Lotte, Fabien [Contributor]

    Estimating learning-related mental states through brain and physiological signals. ; Évaluation des états mentaux liés à l'apprentissage à partir de signaux cérébraux et physiologiques

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    theses.fr, 2020-12-17

  11. Le Pelleter, Tugdual [Author]

    Discretization method adapted to an event-logic architecture for ultra-low power consumption : a physiological pattern recognition application ; Méthode de discrétisation adaptée à une logique événementielle pour l'utra-faible consommation : application à la reconnaissance de signaux physiologiques

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    [Erscheinungsort nicht ermittelbar]: HAL CCSD, 2015

  12. Cheikh Khalfa, Nadia [Author] ; Paris 6 [Contributor]; Bertrand, Pierre [Contributor]; Jaidane, Meriem [Contributor]

    Détection de ruptures de signaux physiologiques en situation in vivo via la méthode FDpV : cas de la fréquence cardiaque et de l'activité électrodermale de marathoniens ; Change point detection of physiological signals within in vivo settings via the FDpV method : case of the heart rate and the electrodermal activity of marathoners

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    theses.fr, 2015-09-25