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Vahid Farrahi

Showing results (1-10 of 39) with videos related to

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Journal of Activity, Sedentary and Sleep Behaviors|April 11, 2025
Machine learning in physical activity, sedentary, and sleep behavior researchVahid Farrahi, Mehrdad Rostami
Journal of Physical Activity & Health|February 9, 2024
Artificial Intelligence and Machine Learning-Powerful Yet Underutilized Tools and Algorithms in Physical Activity and Sedentary Behavior ResearchVahid Farrahi, Philip Clare
BMC Medical Informatics and Decision Making|March 14, 2024
Deep learning of movement behavior profiles and their association with markers of cardiometabolic healthVahid Farrahi, Paul J Collings, Mourad Oussalah
Neural Networks : the Official Journal of the International Neural Network Society|February 11, 2024
A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learningSajad Ahmadian, Mehrdad Rostami, Vahid Farrahi, et al.
International Journal of Medical Informatics|February 1, 2023
AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environmentsVahid Farrahi, Usman Muhammad, Mehrdad Rostami, et al.
Gait & Posture|December 23, 2018
Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approachesVahid Farrahi, Maisa Niemelä, Maarit Kangas, et al.
Gait & Posture|July 5, 2021
Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithmsJoana Chong, Petra Tjurin, Maisa Niemelä, et al.
BMC Cardiovascular Disorders|March 25, 2026
Sleep timing irregularity in midlife: association with incident major adverse cardiac events and cardiovascular disease mortality over a 10-year follow-upLaura Nauha, Maisa Niemelä, Saeid Azadifar, et al.
Depression and Anxiety|April 30, 2026
Compositional Associations of 24-h Movement Behaviors With Depressive and Anxiety Symptoms in Middle-Aged AdultsClarence Tan, Maisa Niemelä, Marjo Seppänen, et al.
IEEE Journal of Biomedical and Health Informatics|May 21, 2019
Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration DataVahid Farrahi, Maisa Niemela, Petra Tjurin, et al.
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Journal of Activity, Sedentary and Sleep Behaviors|April 11, 2025
Machine learning in physical activity, sedentary, and sleep behavior researchVahid Farrahi, Mehrdad Rostami
Journal of Physical Activity & Health|February 9, 2024
Artificial Intelligence and Machine Learning-Powerful Yet Underutilized Tools and Algorithms in Physical Activity and Sedentary Behavior ResearchVahid Farrahi, Philip Clare
BMC Medical Informatics and Decision Making|March 14, 2024
Deep learning of movement behavior profiles and their association with markers of cardiometabolic healthVahid Farrahi, Paul J Collings, Mourad Oussalah
Neural Networks : the Official Journal of the International Neural Network Society|February 11, 2024
A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learningSajad Ahmadian, Mehrdad Rostami, Vahid Farrahi, et al.
International Journal of Medical Informatics|February 1, 2023
AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environmentsVahid Farrahi, Usman Muhammad, Mehrdad Rostami, et al.
Gait & Posture|December 23, 2018
Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approachesVahid Farrahi, Maisa Niemelä, Maarit Kangas, et al.
Gait & Posture|July 5, 2021
Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithmsJoana Chong, Petra Tjurin, Maisa Niemelä, et al.
BMC Cardiovascular Disorders|March 25, 2026
Sleep timing irregularity in midlife: association with incident major adverse cardiac events and cardiovascular disease mortality over a 10-year follow-upLaura Nauha, Maisa Niemelä, Saeid Azadifar, et al.
Depression and Anxiety|April 30, 2026
Compositional Associations of 24-h Movement Behaviors With Depressive and Anxiety Symptoms in Middle-Aged AdultsClarence Tan, Maisa Niemelä, Marjo Seppänen, et al.
IEEE Journal of Biomedical and Health Informatics|May 21, 2019
Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration DataVahid Farrahi, Maisa Niemela, Petra Tjurin, et al.
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