Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approaches V Farrahi, M Niemelä, M Kangas, R Korpelainen, T Jämsä Gait & posture 68, 285-299, 2019 | 134 | 2019 |
A novel time-aware food recommender-system based on deep learning and graph clustering M Rostami, M Oussalah, V Farrahi IEEE Access 10, 52508-52524, 2022 | 74 | 2022 |
Community detection algorithms in healthcare applications: a systematic review M Rostami, M Oussalah, K Berahmand, V Farrahi IEEE Access 11, 30247-30272, 2023 | 54 | 2023 |
Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms J Chong, P Tjurin, M Niemelä, T Jämsä, V Farrahi Gait & posture 89, 45-53, 2021 | 45 | 2021 |
Compositional associations of sleep and activities within the 24-h cycle with cardiometabolic health markers in adults V Farrahi, M Kangas, R Walmsley, M Niemelä, A Kiviniemi, K Puukka, ... Medicine and science in sports and exercise 53 (2), 324, 2021 | 37 | 2021 |
Intensity and temporal patterns of physical activity and cardiovascular disease risk in midlife M Niemelä, M Kangas, V Farrahi, A Kiviniemi, AM Leinonen, R Ahola, ... Preventive Medicine 124, 33-41, 2019 | 32 | 2019 |
An effective explainable food recommendation using deep image clustering and community detection M Rostami, U Muhammad, S Forouzandeh, K Berahmand, V Farrahi, ... Intelligent Systems with Applications 16, 200157, 2022 | 31 | 2022 |
A novel healthy and time-aware food recommender system using attributed community detection M Rostami, V Farrahi, S Ahmadian, SMJ Jalali, M Oussalah Expert Systems with Applications 221, 119719, 2023 | 27 | 2023 |
Accumulation patterns of sedentary time and breaks and their association with cardiometabolic health markers in adults V Farrahi, M Kangas, A Kiviniemi, K Puukka, R Korpelainen, T Jämsä Scandinavian journal of medicine & science in sports 31 (7), 1489-1507, 2021 | 27 | 2021 |
Evaluating and enhancing the generalization performance of machine learning models for physical activity intensity prediction from raw acceleration data V Farrahi, M Niemelä, P Tjurin, M Kangas, R Korpelainen, T Jämsä IEEE journal of biomedical and health informatics 24 (1), 27-38, 2019 | 25 | 2019 |
Correlates of physical activity behavior in adults: a data mining approach V Farrahi, M Niemelä, M Kärmeniemi, S Puhakka, M Kangas, ... International Journal of Behavioral Nutrition and Physical Activity 17, 1-14, 2020 | 18 | 2020 |
Acknowledging geodiversity in safeguarding biodiversity and human health J Alahuhta, H Tukiainen, M Toivanen, T Ala-Hulkko, V Farrahi, J Hjort, ... The Lancet Planetary Health 6 (12), e987-e992, 2022 | 16 | 2022 |
Prolonged bouts of sedentary time and cardiac autonomic function in midlife M Niemelä, A Kiviniemi, M Kangas, V Farrahi, AM Leinonen, R Ahola, ... Translational Sports Medicine 2 (6), 341-350, 2019 | 14 | 2019 |
Joint profiles of sedentary time and physical activity in adults and their associations with cardiometabolic health V Farrahi, M Rostami, D Dumuid, SFM Chastin, M Niemelä, ... Medicine and science in sports and exercise 54 (12), 2118, 2022 | 12 | 2022 |
Healthy food recommendation using a time-aware community detection approach and reliability measurement S Ahmadian, M Rostami, SMJ Jalali, M Oussalah, V Farrahi International Journal of Computational Intelligence Systems 15 (1), 105, 2022 | 7 | 2022 |
Machine learning in physical activity, sedentary, and sleep behavior research V Farrahi, M Rostami Journal of Activity, Sedentary and Sleep Behaviors 3 (1), 5, 2024 | 5 | 2024 |
A novel healthy food recommendation to user groups based on a deep social community detection approach M Rostami, K Berahmand, S Forouzandeh, S Ahmadian, V Farrahi, ... Neurocomputing 576, 127326, 2024 | 3 | 2024 |
Compositional association of 24‐h movement behavior with incident major adverse cardiac events and all‐cause mortality M Niemelä, A Kiviniemi, TM Ikäheimo, M Tulppo, R Korpelainen, T Jämsä, ... Scandinavian Journal of Medicine & Science in Sports 33 (5), 641-650, 2023 | 3 | 2023 |
AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments V Farrahi, U Muhammad, M Rostami, M Oussalah International Journal of Medical Informatics 172, 105004, 2023 | 3 | 2023 |
Deep learning of movement behavior profiles and their association with markers of cardiometabolic health V Farrahi, PJ Collings, M Oussalah BMC Medical Informatics and Decision Making 24 (1), 74, 2024 | 2 | 2024 |