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Vasileios Papapanagiotou

Showing results (1-10 of 21) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear MicrophoneVasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Bite-Weight Estimation Using Commercial Ear BudsVasileios Papapanagiotou, Stefanos Ganotakis, Anastasios Delopoulos
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Chewing detection from an in-ear microphone using convolutional neural networksVasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos
Appetite|June 1, 2022
Intake monitoring in free-living conditions: Overview and lessons we have learnedChristos Diou, Konstantinos Kyritsis, Vasileios Papapanagiotou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
A parametric Probabilistic Context-Free Grammar for food intake analysis based on continuous meal weight measurementsVasileios Papapanagiotou, Christos Diou, Billy Langlet, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the EnvironmentIoannis Sarafis, Christos Diou, Vasileios Papapanagiotou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Estimation of Food Intake Quantity Using Inertial Signals from SmartwatchesIoannis Levi, Konstantinos Kyritsis, Vasileios Papapanagiotou, et al.
IEEE Journal of Biomedical and Health Informatics|July 12, 2018
Automatic Analysis of Food Intake and Meal Microstructure Based on Continuous Weight MeasurementsVasileios Papapanagiotou, Christos Diou, Ioannis Ioakimidis, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
A System for Objectively Measuring Behavior and the Environment to Support Large-Scale Studies on Childhood ObesityVasileios Papapanagiotou, Ioannis Sarafis, Leonidas Alagialoglou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Collecting big behavioral data for measuring behavior against obesityVasileios Papapanagiotou, Ioannis Sarafis, Christos Diou, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear MicrophoneVasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Bite-Weight Estimation Using Commercial Ear BudsVasileios Papapanagiotou, Stefanos Ganotakis, Anastasios Delopoulos
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Chewing detection from an in-ear microphone using convolutional neural networksVasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos
Appetite|June 1, 2022
Intake monitoring in free-living conditions: Overview and lessons we have learnedChristos Diou, Konstantinos Kyritsis, Vasileios Papapanagiotou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
A parametric Probabilistic Context-Free Grammar for food intake analysis based on continuous meal weight measurementsVasileios Papapanagiotou, Christos Diou, Billy Langlet, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the EnvironmentIoannis Sarafis, Christos Diou, Vasileios Papapanagiotou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Estimation of Food Intake Quantity Using Inertial Signals from SmartwatchesIoannis Levi, Konstantinos Kyritsis, Vasileios Papapanagiotou, et al.
IEEE Journal of Biomedical and Health Informatics|July 12, 2018
Automatic Analysis of Food Intake and Meal Microstructure Based on Continuous Weight MeasurementsVasileios Papapanagiotou, Christos Diou, Ioannis Ioakimidis, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
A System for Objectively Measuring Behavior and the Environment to Support Large-Scale Studies on Childhood ObesityVasileios Papapanagiotou, Ioannis Sarafis, Leonidas Alagialoglou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Collecting big behavioral data for measuring behavior against obesityVasileios Papapanagiotou, Ioannis Sarafis, Christos Diou, et al.
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