Vahid Farrahi

According to our database, Vahid Farrahi authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep learning of movement behavior profiles and their association with markers of cardiometabolic health.

Vahid Farrahi, Paul J. Collings, Mourad Oussalah

BMC Medical Informatics Decis. Mak., December, 2024

A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning.

Sajad Ahmadian, Mehrdad Rostami, Vahid Farrahi, Mourad Oussalah

Neural Networks, 2024

A novel healthy food recommendation to user groups based on a deep social community detection approach.

Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh, Sajad Ahmadian, Vahid Farrahi, Mourad Oussalah

Neurocomputing, 2024

2023

A novel healthy and time-aware food recommender system using attributed community detection.

Mehrdad Rostami, Vahid Farrahi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Mourad Oussalah

Expert Syst. Appl., July, 2023

AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments.

Vahid Farrahi, Usman Muhammad, Mehrdad Rostami, Mourad Oussalah

Int. J. Medical Informatics, April, 2023

Community Detection Algorithms in Healthcare Applications: A Systematic Review.

Mehrdad Rostami, Mourad Oussalah, Kamal Berahmand, Vahid Farrahi

IEEE Access, 2023

2022

An effective explainable food recommendation using deep image clustering and community detection.

Mehrdad Rostami, Usman Muhammad, Saman Forouzandeh, Kamal Berahmand, Vahid Farrahi, Mourad Oussalah

Intell. Syst. Appl., 2022

Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement.

Sajad Ahmadian, Mehrdad Rostami, Seyed Mohammad Jafar Jalali, Mourad Oussalah, Vahid Farrahi

Int. J. Comput. Intell. Syst., 2022

A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering.

Mehrdad Rostami, Mourad Oussalah, Vahid Farrahi

IEEE Access, 2022

2020

Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration Data.

Vahid Farrahi, Maisa Niemelä, Petra Tjurin, Maarit Kangas, Raija Korpelainen, Timo Jämsä

IEEE J. Biomed. Health Informatics, 2020