A graph theoretic approach for unsupervised feature selection. - Parham Moradi; Mehrdad Rostami (Eng. Appl. Artif. Intell., 2015)

Integration of graph clustering with ant colony optimization for feature selection. - Parham Moradi; Mehrdad Rostami (Knowl. Based Syst., 2015)

BESS connection impact assessment. - Mehrdad Boloorchi; Mehrdad Rostami; Vince Green (CCECE, 2017)

Improving Recommender Systems Accuracy in Social Networks Using Popularity. - Kasra Majbouri Yazdi; Adel Majbouri Yazdi; Saeid Khodayi; Jingyu Hou 001; Wanlei Zhou 001; Saeid Saedy; Mehrdad Rostami (PDCAT, 2019)

Review of Swarm Intelligence-based Feature Selection Methods. - Mehrdad Rostami; Kamal Berahmand; Saman Forouzandeh (CoRR, 2020)

A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty. - Mehrdad Rostami; Kamal Berahmand; Saman Forouzandeh (J. Big Data, 2020)

Prediction optimization of diffusion paths in social networks using integration of ant colony and densest subgraph algorithms. - Kasra Majbouri Yazdi; Adel Majbouri Yazdi; Saeid Khodayi; Jingyu Hou 001; Wanlei Zhou 001; Saeed Saedy; Mehrdad Rostami (J. High Speed Networks, 2020)

Gene Selection for Cancer Diagnosis via Iterative Graph Clustering-Based Approach Communication. - Mehrdad Rostami; Mourad Oussalah 002 (SMARTERCARE@AI*IA, 2021)

A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding. - Elahe Nasiri; Kamal Berahmand; Mehrdad Rostami; Mohammad Dabiri (Comput. Biol. Medicine, 2021)

A modified DeepWalk method for link prediction in attributed social network. - Kamal Berahmand; Elahe Nasiri; Mehrdad Rostami; Saman Forouzandeh (Computing, 2021)

Presentation a Trust Walker for rating prediction in recommender system with Biased Random Walk: Effects of H-index centrality, similarity in items and friends. - Saman Forouzandeh; Mehrdad Rostami; Kamal Berahmand (Eng. Appl. Artif. Intell., 2021)

Review of swarm intelligence-based feature selection methods. - Mehrdad Rostami; Kamal Berahmand; Elahe Nasiri; Saman Forouzandeh (Eng. Appl. Artif. Intell., 2021)

A Hotel Recommender System for Tourists Using the Artificial Bee Colony Algorithm and Fuzzy TOPSIS Model: A Case Study of TripAdvisor. - Saman Forouzandeh; Kamal Berahmand; Elahe Nasiri; Mehrdad Rostami (Int. J. Inf. Technol. Decis. Mak., 2021)

Prediction of chemoresistance trait of cancer cell lines using machine learning algorithms and systems biology analysis. - Atousa Ataei; Niloufar Seyed Majidi; Javad Zahiri; Mehrdad Rostami; Seyed Shahriar Arab; Albert Rizvanov (J. Big Data, 2021)

A novel community detection based genetic algorithm for feature selection. - Mehrdad Rostami; Kamal Berahmand; Saman Forouzandeh (J. Big Data, 2021)

Presentation of a recommender system with ensemble learning and graph embedding: a case on MovieLens. - Saman Forouzandeh; Kamal Berahmand; Mehrdad Rostami (Multim. Tools Appl., 2021)

A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN. - Mohammad Reza Chalak Qazani; Farzin Tabarsinezhad; Houshyar Asadi; Chee Peng Lim; Adetokunbo Arogbonlo; Shehab Alsanwy; Shadi Mohamed; Mehrdad Rostami; Saeid Nahavandi (SMC, 2022)

A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering. - Mehrdad Rostami; Mourad Oussalah 002; Vahid Farrahi (IEEE Access, 2022)

Gene selection for microarray data classification via multi-objective graph theoretic-based method. - Mehrdad Rostami; Saman Forouzandeh; Kamal Berahmand; Mina Soltani; Meisam Shahsavari; Mourad Oussalah 002 (Artif. Intell. Medicine, 2022)

Graph-based relevancy-redundancy gene selection method for cancer diagnosis. - Saeid Azadifar; Mehrdad Rostami; Kamal Berahmand; Parham Moradi; Mourad Oussalah 002 (Comput. Biol. Medicine, 2022)

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods. - Farshad Saberi-Movahed; Mahyar Mohammadifard; Adel Mehrpooya; Mohammad Rezaei-Ravari; Kamal Berahmand; Mehrdad Rostami; Saeed Karami; Mohammad Najafzadeh; Davood Hajinezhad; Mina Jamshidi; Farshid Abedi; Mahtab Mohammadifard; et al. (Comput. Biol. Medicine, 2022)

Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement. - Sajad Ahmadian; Mehrdad Rostami; Seyed Mohammad Jafar Jalali; Mourad Oussalah 002; Vahid Farrahi (Int. J. Comput. Intell. Syst., 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 002 (Intell. Syst. Appl., 2022)

A new attributed graph clustering by using label propagation in complex networks. - Kamal Berahmand; Sogol Haghani; Mehrdad Rostami; Yuefeng Li (J. King Saud Univ. Comput. Inf. Sci., 2022)

Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection. - Farid Saberi-Movahed; Mehrdad Rostami; Kamal Berahmand; Saeed Karami; Prayag Tiwari; Mourad Oussalah 002; Shahab S. Band (Knowl. Based Syst., 2022)

A novel attributed community detection by integration of feature weighting and node centrality. - Mehrdad Rostami; Mourad Oussalah 002 (Online Soc. Networks Media, 2022)

Adaptive Motion Cueing Algorithm Based on Fuzzy Logic Using Online Dexterity and Direction Monitoring. - Mohammad Reza Chalak Qazani; Houshyar Asadi; Mehrdad Rostami; Shady M. K. Mohamed; Chee Peng Lim; Saeid Nahavandi (IEEE Syst. J., 2022)

Towards Health-Aware Fairness in Food Recipe Recommendation. - Mehrdad Rostami; Mohammad Aliannejadi; Mourad Oussalah 002 (RecSys, 2023)

Community Detection Algorithms in Healthcare Applications: A Systematic Review. - Mehrdad Rostami; Mourad Oussalah 002; Kamal Berahmand; Vahid Farrahi (IEEE Access, 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 002 (Int. J. Medical Informatics, 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 002 (Expert Syst. Appl., 2023)

DISH4U A Crowd Source App for Guiding Users Towards Healthy Food. - Tuomas Määttä; Eetu Holmi; Mehrdad Rostami; Mourad Oussalah 002 (IEEE Big Data, 2024)

Emotional Insights for Food Recommendations. - Mehrdad Rostami; Ali Vardasbi; Mohammad Aliannejadi; Mourad Oussalah 002 (ECIR (2), 2024)

UIFRS-HAN: User interests-aware food recommender system based on the heterogeneous attention network. - Saman Forouzandeh; Kamal Berahmand; Mehrdad Rostami; Aliyeh Aminzadeh; Mourad Oussalah 002 (Eng. Appl. Artif. Intell., 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 002 (Neurocomputing, 2024)

A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning. - Sajad Ahmadian; Mehrdad Rostami; Vahid Farrahi; Mourad Oussalah 002 (Neural Networks, 2024)

Health-aware food recommendation system with dual attention in heterogeneous graphs. - Saman Forouzandeh; Mehrdad Rostami; Kamal Berahmand; Razieh Sheikhpour (Comput. Biol. Medicine, 2024)

Digital phenotypes and digital biomarkers for health and diseases: a systematic review of machine learning approaches utilizing passive non-invasive signals collected via wearable devices and smartphones. - Alireza Sameh; Mehrdad Rostami; Mourad Oussalah 002; Raija Korpelainen; Vahid Farrahi (Artif. Intell. Rev., 2025)

A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems. - Sajad Ahmadian; Mehrdad Rostami; Seyed Mohammad Jafar Jalali; Mourad Oussalah 002; Vahid Farrahi (Knowl. Inf. Syst., 2025)