Sajad Ahmadian

According to our database, Sajad Ahmadian authored at least 35 papers between 2015 and 2025.

Collaborative distances:

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

2025

SiSRS: Signed social recommender system using deep neural network representation learning.

Abed Heshmati, Majid Meghdadi, Mohsen Afsharchi, Sajad Ahmadian

Expert Syst. Appl., 2025

2024

A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning.

Sajad Ahmadian, Mehrdad Rostami, Vahid Farrahi, Mourad Oussalah

Neural Networks, 2024

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

Neurocomputing, 2024

2023

DHSIRS: a novel deep hybrid side information-based recommender system.

Amir Khani Yengikand, Majid Meghdadi, Sajad Ahmadian

Multim. Tools Appl., September, 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

Expert Syst. Appl., July, 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, March, 2023

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

Milad Ahmadian, Sajad Ahmadian, Mahmood Ahmadi

Knowl. Based Syst., March, 2023

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

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

Sajad Ahmadian, Milad Ahmadian, Mahdi Jalili

Neurocomputing, 2022

Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement.

Sajad Ahmadian, Mehrdad Rostami, Seyed Mohammad Jafar Jalali, Mourad Oussalah, Vahid Farrahi

Int. J. Comput. Intell. Syst., 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

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 Novel Explainable and Health-aware Food Recommender System.

Merhrdad Rostami, Vahid Farahi, Kamal Berahmand, Saman Forouzandeh, Sajad Ahmadian, Mourad Oussalah

Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

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 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 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

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

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

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

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, João P. S. Catalão

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

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

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

Neural Network Training Using a Biogeography-Based Learning Strategy.

Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi

Proceedings of the Neural Information Processing - 27th International Conference, 2020

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

An effective social recommendation method based on user reputation model and rating profile enhancement.

Sajad Ahmadian, Mohsen Afsharchi, Majid Meghdadi

J. Inf. Sci., 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

Proceedings of the Neural Information Processing - 26th International Conference, 2019

LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendation.

Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani

Proceedings of the Information Retrieval Technology, 2019

2018

A social recommendation method based on an adaptive neighbor selection mechanism.

Sajad Ahmadian, Majid Meghdadi, Mohsen Afsharchi

Inf. Process. Manag., 2018

TCARS: Time- and Community-Aware Recommendation System.

Fatemeh Rezaeimehr, Parham Moradi, Sajad Ahmadian, Nooruldeen Nasih Qader, Mahdi Jalili

Future Gener. Comput. Syst., 2018

Incorporating reliable virtual ratings into social recommendation systems.

Sajad Ahmadian, Majid Meghdadi, Mohsen Afsharchi

Appl. Intell., 2018

Evaluating Collaborative Filtering Recommender Algorithms: A Survey.

Mahdi Jalili, Sajad Ahmadian, Maliheh Izadi, Parham Moradi, Mostafa Salehi

IEEE Access, 2018

A Temporal Clustering Approach for Social Recommender Systems.

Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Majid Meghdadi, Mohsen Afsharchi, Yongli Ren

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2015

A reliability-based recommendation method to improve trust-aware recommender systems.

Parham Moradi, Sajad Ahmadian

Expert Syst. Appl., 2015