Milad Ahmadian

According to our database, Milad Ahmadian authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

The impact of deep data representation fusion on food recommender systems: a comparative study.

Sajad Ahmadian, Mehrdad Rostami, Milad Ahmadian, Mourad Oussalah

Multim. Tools Appl., May, 2026

Explainable feature selection combining particle swarm optimisation with adaptive LASSO for MRI radiogenomics: Predicting HPV status in oropharyngeal cancer.

Milad Ahmadian, Zuhir Bodalal, Mary Adib, Seyed Sahand Mohammadi Ziabari, Paula Bos, Roland Martens, Georgios Agrotis, Conchita Vens, Luc H. E. Karssemakers, Abrahim Al-Mamgani, Pim de Graaf, Bas Jasperse, Ruud H. Brakenhoff, C. René Leemans, Regina G. H. Beets-Tan, Michiel W. M. van den Brekel, Jonas A. Castelijns

Comput. Methods Programs Biomed., 2026

2024

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, Michiel W. M. van den Brekel, Jonas A. Castelijns

Comput. Biol. Medicine, 2024

2023

RDERL: Reliable deep ensemble reinforcement learning-based recommender system.

Milad Ahmadian, Sajad Ahmadian, Mahmood Ahmadi

Knowl. Based Syst., March, 2023

2022

A deep learning based trust- and tag-aware recommender system.

Sajad Ahmadian, Milad Ahmadian, Mahdi Jalili

Neurocomputing, 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

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

A reliable deep representation learning to improve trust-aware recommendation systems.

Milad Ahmadian, Mahmood Ahmadi, Sajad Ahmadian

Expert Syst. Appl., 2022

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

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

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021