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ORCIDMilad Ahmadian
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2020 – today
- 2024
[j7]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, Michiel W. M. van den Brekel, Jonas A. Castelijns:
Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features. Comput. Biol. Medicine 174: 108389 (2024)- 2023
- [j6]Milad Ahmadian, Sajad Ahmadian, Mahmood Ahmadi:
RDERL: Reliable deep ensemble reinforcement learning-based recommender system. Knowl. Based Syst. 263: 110289 (2023) - 2022
- [j5]Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Milad Ahmadian:
Alleviating data sparsity problem in time-aware recommender systems using a reliable rating profile enrichment approach. Expert Syst. Appl. 187: 115849 (2022) - [j4]Milad Ahmadian, Mahmood Ahmadi, Sajad Ahmadian:
A reliable deep representation learning to improve trust-aware recommendation systems. Expert Syst. Appl. 197: 116697 (2022) - [j3]Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Rachid Hedjam, Abbas Khosravi, Saeid Nahavandi:
X-ray image based COVID-19 detection using evolutionary deep learning approach. Expert Syst. Appl. 201: 116942 (2022) - [j2]Sajad Ahmadian, Milad Ahmadian, Mahdi Jalili:
A deep learning based trust- and tag-aware recommender system. Neurocomputing 488: 557-571 (2022) - 2021
- [j1]Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Abbas Khosravi, Mamoun Alazab, Saeid Nahavandi:
An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis. Appl. Soft Comput. 111: 107675 (2021) - [c1]Milad Ahmadian, Mahmood Ahmadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi:
Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System. SMC 2021: 2524-2530
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