A reliability-based recommendation method to improve trust-aware recommender systems. - Parham Moradi; Sajad Ahmadian (Expert Syst. Appl., 2015)

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

Evaluating Collaborative Filtering Recommender Algorithms: A Survey. - Mahdi Jalili; Sajad Ahmadian; Maliheh Izadi; Parham Moradi; Mostafa Salehi (IEEE Access, 2018)

Incorporating reliable virtual ratings into social recommendation systems. - Sajad Ahmadian; Majid Meghdadi; Mohsen Afsharchi (Appl. Intell., 2018)

TCARS: Time- and Community-Aware Recommendation System. - Fatemeh Rezaeimehr; Parham Moradi; Sajad Ahmadian; Nooruldeen Nasih Qader; Mahdi Jalili (Future Gener. Comput. Syst., 2018)

A social recommendation method based on an adaptive neighbor selection mechanism. - Sajad Ahmadian; Majid Meghdadi; Mohsen Afsharchi (Inf. Process. Manag., 2018)

LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendation. - Hossein A. Rahmani; Mohammad Aliannejadi; Sajad Ahmadian; Mitra Baratchi; Mohsen Afsharchi; Fabio Crestani (AIRS, 2019)

Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification. - Seyed Mohammad Jafar Jalali; Sajad Ahmadian; Parham M. Kebria; Abbas Khosravi; Chee Peng Lim; Saeid Nahavandi (ICONIP (1), 2019)

An effective social recommendation method based on user reputation model and rating profile enhancement. - Sajad Ahmadian; Mohsen Afsharchi; Majid Meghdadi (J. Inf. Sci., 2019)

A novel approach based on multi-view reliability measures to alleviate data sparsity in recommender systems. - Sajad Ahmadian; Mohsen Afsharchi; Majid Meghdadi (Multim. Tools Appl., 2019)

Neural Network Training Using a Biogeography-Based Learning Strategy. - Seyed Jalaleddin Mousavirad; Seyed Mohammad Jafar Jalali; Sajad Ahmadian; Abbas Khosravi; Gerald Schaefer; Saeid Nahavandi (ICONIP (5), 2020)

Neuroevolution-based autonomous robot navigation: A comparative study. - Seyed Mohammad Jafar Jalali; Sajad Ahmadian; Abbas Khosravi; Seyedali Mirjalili; Mohammad Reza Mahmoudi; Saeid Nahavandi (Cogn. Syst. Res., 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 New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction. - Seyed Mohammad Jafar Jalali; Mahdi Khodayar; Sajad Ahmadian; Md Kislu Noman; Abbas Khosravi; Syed Mohammed Shamsul Islam; Fei Wang 020; João P. S. Catalão (IAS, 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 (SMC, 2021)

Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems. - Amir Khani Yengikand; Majid Meghdadi; 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 novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19). - Sajad Ahmadian; Seyed Mohammad Jafar Jalali; Syed Mohammed Shamsul Islam; Abbas Khosravi; Ebrahim Fazli; Saeid Nahavandi (Comput. Biol. Medicine, 2021)

A hybrid recommendation system based on profile expansion technique to alleviate cold start problem. - Faryad Tahmasebi; Majid Meghdadi; Sajad Ahmadian; Khashayar Valiallahi (Multim. Tools Appl., 2021)

A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting. - Seyed Mohammad Jafar Jalali; Sajad Ahmadian; Abbas Khosravi; Miadreza Shafie-khah; Saeid Nahavandi; João P. S. Catalão (IEEE Trans. Ind. Informatics, 2021)

A Novel Explainable and Health-aware Food Recommender System. - Merhrdad Rostami; Vahid Farahi; Kamal Berahmand; Saman Forouzandeh; Sajad Ahmadian; Mourad Oussalah 002 (KDIR, 2022)

An efficient cardiovascular disease detection model based on multilayer perceptron and moth-flame optimization. - Sajad Ahmadian; Seyed Mohammad Jafar Jalali; Saeid Raziani; Abdolah Chalechale (Expert Syst. J. Knowl. Eng., 2022)

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)

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)

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

Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting. - Seyed Mohammad Jafar Jalali; Sajad Ahmadian; Abdollah Kavousi-Fard; Abbas Khosravi; Saeid Nahavandi (IEEE Trans. Syst. Man Cybern. Syst., 2022)

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

Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks. - Parul Arora; Seyed Mohammad Jafar Jalali; Sajad Ahmadian; Bijaya K. Panigrahi; Ponnuthurai N. Suganthan; Abbas Khosravi (IEEE Trans. Ind. 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)

DHSIRS: a novel deep hybrid side information-based recommender system. - Amir Khani Yengikand; Majid Meghdadi; Sajad Ahmadian (Multim. Tools Appl., 2023)

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)

SiSRS: Signed social recommender system using deep neural network representation learning. - Abed Heshmati; Majid Meghdadi; Mohsen Afsharchi; Sajad Ahmadian (Expert Syst. Appl., 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)