Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System. - Milad Ahmadian; Mahmood Ahmadi; Sajad Ahmadian; Seyed Mohammad Jafar Jalali; Abbas Khosravi; Saeid Nahavandi (SMC, 2021)

An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis. - Seyed Mohammad Jafar Jalali; Milad Ahmadian; Sajad Ahmadian; Abbas Khosravi; Mamoun Alazab; Saeid Nahavandi (Appl. Soft Comput., 2021)

A reliable deep representation learning to improve trust-aware recommendation systems. - Milad Ahmadian; Mahmood Ahmadi; Sajad Ahmadian (Expert Syst. Appl., 2022)

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)

X-ray image based COVID-19 detection using evolutionary deep learning approach. - Seyed Mohammad Jafar Jalali; Milad Ahmadian; Sajad Ahmadian; Rachid Hedjam; Abbas Khosravi; Saeid Nahavandi (Expert Syst. Appl., 2022)

A deep learning based trust- and tag-aware recommender system. - Sajad Ahmadian; Milad Ahmadian; Mahdi Jalili (Neurocomputing, 2022)

RDERL: Reliable deep ensemble reinforcement learning-based recommender system. - Milad Ahmadian; Sajad Ahmadian; Mahmood Ahmadi (Knowl. Based Syst., 2023)

Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features. - Milad Ahmadian; Zuhir Bodalal; Hedda J. van der Hulst; Conchita Vens; Luc H. E. Karssemakers; Nino Bogveradze; Francesca Castagnoli; Federica Landolfi; Eun Kyoung Hong; Nicolo Gennaro; Andrea Delli Pizzi; Regina G. H. Beets-Tan; et al. (Comput. Biol. Medicine, 2024)