A Temporal Clustering Approach for Social Recommender Systems. - Sajad Ahmadian; Nima Joorabloo; Mahdi Jalili; Majid Meghdadi; Mohsen Afsharchi; Yongli Ren (ASONAM, 2018)

Australia's long-term electricity demand forecasting using deep neural networks. - Homayoun Hamedmoghadam; Nima Joorabloo; Mahdi Jalili (CoRR, 2018)

A Probabilistic Graph-Based Method to Improve Recommender System Accuracy. - Nima Joorabloo; Mahdi Jalili; Yongli Ren (EANN, 2019)

A New Temporal Recommendation System based on Users' Similarity Prediction. - Nima Joorabloo; Mahdi Jalili; Yongli Ren (KDIR, 2019)

Improved Collaborative Filtering Recommendation Through Similarity Prediction. - Nima Joorabloo; Mahdi Jalili; Yongli Ren (IEEE Access, 2020)

A social recommender system based on reliable implicit relationships. - Sajad Ahmadian; Nima Joorabloo; Mahdi Jalili; Yongli Ren; Majid Meghdadi; Mohsen Afsharchi (Knowl. Based Syst., 2020)

A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems. - Nima Joorabloo; Mahdi Jalili; Yongli Ren (Expert Syst. Appl., 2021)

Alleviating data sparsity problem in time-aware recommender systems using a reliable rating profile enrichment approach. - Sajad Ahmadian; Nima Joorabloo; Mahdi Jalili; Milad Ahmadian (Expert Syst. Appl., 2022)

Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence. - Nima Joorabloo; Mahdi Jalili; Yongli Ren (Inf. Sci., 2022)