Sajad Ahmadian

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 35

Top Topics

Multilayer Perceptron

Recommender Systems

Top Venues

Expert Syst. Appl.

Multim. Tools Appl.

IEEE Trans. Ind. Informatics

Publications

Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh, Sajad Ahmadian, Vahid Farrahi, Mourad Oussalah
A novel healthy food recommendation to user groups based on a deep social community detection approach. Neurocomputing 576 (2024)
Sajad Ahmadian, Mehrdad Rostami, Vahid Farrahi, Mourad Oussalah
A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning. Neural Networks 173 (2024)
Parul Arora, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan, Abbas Khosravi
Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks. IEEE Trans. Ind. Informatics 19 (3) (2023)
Milad Ahmadian, Sajad Ahmadian, Mahmood Ahmadi
RDERL: Reliable deep ensemble reinforcement learning-based recommender system. Knowl. Based Syst. 263 (2023)
Mehrdad Rostami, Vahid Farrahi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Mourad Oussalah
A novel healthy and time-aware food recommender system using attributed community detection. Expert Syst. Appl. 221 (2023)
Amir Khani Yengikand, Majid Meghdadi, Sajad Ahmadian
DHSIRS: a novel deep hybrid side information-based recommender system. Multim. Tools Appl. 82 (22) (2023)
Sajad Ahmadian, Mehrdad Rostami, Seyed Mohammad Jafar Jalali, Mourad Oussalah, Vahid Farrahi
Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement. Int. J. Comput. Intell. Syst. 15 (1) (2022)
Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Saeid Raziani, Abdolah Chalechale
An efficient cardiovascular disease detection model based on multilayer perceptron and moth-flame optimization. Expert Syst. J. Knowl. Eng. 39 (4) (2022)
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 (2022)
Milad Ahmadian, Mahmood Ahmadi, Sajad Ahmadian
A reliable deep representation learning to improve trust-aware recommendation systems. Expert Syst. Appl. 197 (2022)
Merhrdad Rostami, Vahid Farahi, Kamal Berahmand, Saman Forouzandeh, Sajad Ahmadian, Mourad Oussalah
A Novel Explainable and Health-aware Food Recommender System. KDIR (2022)
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 (2022)
Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi
Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting. IEEE Trans. Syst. Man Cybern. Syst. 52 (1) (2022)
Sajad Ahmadian, Milad Ahmadian, Mahdi Jalili
A deep learning based trust- and tag-aware recommender system. Neurocomputing 488 (2022)
Faryad Tahmasebi, Majid Meghdadi, Sajad Ahmadian, Khashayar Valiallahi
A hybrid recommendation system based on profile expansion technique to alleviate cold start problem. Multim. Tools Appl. 80 (2) (2021)
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 (2021)
Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Miadreza Shafie-khah, Saeid Nahavandi, João P. S. Catalão
A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting. IEEE Trans. Ind. Informatics 17 (12) (2021)
Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Syed Mohammed Shamsul Islam, Abbas Khosravi, Ebrahim Fazli, Saeid Nahavandi
A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19). Comput. Biol. Medicine 139 (2021)
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)
Amir Khani Yengikand, Majid Meghdadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi
Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems. SMC (2021)
Seyed Mohammad Jafar Jalali, Mahdi Khodayar, Sajad Ahmadian, Md Kislu Noman, Abbas Khosravi, Syed Mohammed Shamsul Islam, Fei Wang, João P. S. Catalão
A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction. IAS (2021)
Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Yongli Ren, Majid Meghdadi, Mohsen Afsharchi
A social recommender system based on reliable implicit relationships. Knowl. Based Syst. 192 (2020)
Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Seyedali Mirjalili, Mohammad Reza Mahmoudi, Saeid Nahavandi
Neuroevolution-based autonomous robot navigation: A comparative study. Cogn. Syst. Res. 62 (2020)
Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi
Neural Network Training Using a Biogeography-Based Learning Strategy. ICONIP (5) (2020)
Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Parham M. Kebria, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi
Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification. ICONIP (1) (2019)
Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani
LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendation. AIRS (2019)
Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani
LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation. CoRR (2019)
Sajad Ahmadian, Mohsen Afsharchi, Majid Meghdadi
A novel approach based on multi-view reliability measures to alleviate data sparsity in recommender systems. Multim. Tools Appl. 78 (13) (2019)
Sajad Ahmadian, Mohsen Afsharchi, Majid Meghdadi
An effective social recommendation method based on user reputation model and rating profile enhancement. J. Inf. Sci. 45 (5) (2019)
Mahdi Jalili, Sajad Ahmadian, Maliheh Izadi, Parham Moradi, Mostafa Salehi
Evaluating Collaborative Filtering Recommender Algorithms: A Survey. IEEE Access 6 (2018)
Sajad Ahmadian, Majid Meghdadi, Mohsen Afsharchi
Incorporating reliable virtual ratings into social recommendation systems. Appl. Intell. 48 (11) (2018)
Sajad Ahmadian, Majid Meghdadi, Mohsen Afsharchi
A social recommendation method based on an adaptive neighbor selection mechanism. Inf. Process. Manag. 54 (4) (2018)
Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Majid Meghdadi, Mohsen Afsharchi, Yongli Ren
A Temporal Clustering Approach for Social Recommender Systems. ASONAM (2018)
Fatemeh Rezaeimehr, Parham Moradi, Sajad Ahmadian, Nooruldeen Nasih Qader, Mahdi Jalili
TCARS: Time- and Community-Aware Recommendation System. Future Gener. Comput. Syst. 78 (2018)
Parham Moradi, Sajad Ahmadian
A reliability-based recommendation method to improve trust-aware recommender systems. Expert Syst. Appl. 42 (21) (2015)