S. Ahmadian

发表

Evaluating Collaborative Filtering Recommender Algorithms: A Survey

M. Jalili, S. Ahmadian, M. Izadi, 2018, IEEE Access.

A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19)

Saeid Nahavandi, Abbas Khosravi, Sajad Ahmadian, 2021, Computers in Biology and Medicine.

An Efficient Hybrid Model Based on Modified Whale Optimization Algorithm and Multilayer Perceptron Neural Network for Medical Classification Problems

A. Chalechale, S. Ahmadian, S. M. E. Jalali, 2022, Journal of Bionic Engineering.

Neural Network Training Using a Biogeography-Based Learning Strategy

Saeid Nahavandi, Gerald Schaefer, Abbas Khosravi, 2020, ICONIP.

An advanced short-term wind power forecasting framework based on the optimized deep neural network models

J. Catalão, S. Nahavandi, A. Khosravi, 2022, International Journal of Electrical Power & Energy Systems.

A New Ensemble Reinforcement Learning Strategy for Solar Irradiance Forecasting using Deep Optimized Convolutional Neural Network Models

J. Catalão, S. Nahavandi, A. Khosravi, 2021, 2021 International Conference on Smart Energy Systems and Technologies (SEST).

An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis

S. Nahavandi, A. Khosravi, M. Alazab, 2021, Applied Soft Computing.

Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems

Amir Khani Yengikand, S. Nahavandi, A. Khosravi, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

An effective trust-based recommendation method using a novel graph clustering algorithm

Parham Moradi, Fardin Akhlaghian, Sajad Ahmadian, 2015 .

LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation

Mohsen Afsharchi, Fabio Crestani, Mohammad Aliannejadi, 2019, AIRS.

A novel healthy and time-aware food recommender system using attributed community detection

S. Ahmadian, Vahid Farrahi, M. Rostami, 2023, Expert Syst. Appl..

An Efficient Hybrid Model Based on Modified Whale Optimization Algorithm and Multilayer Perceptron Neural Network for Medical Classification Problems

A. Chalechale, S. Ahmadian, Saeid Raziani, 2022, Journal of Bionic Engineering.

Neuroevolution-based autonomous robot navigation: A comparative study

Saeid Nahavandi, Abbas Khosravi, Seyed Mohammad Mirjalili, 2020, Cognitive Systems Research.

Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2019, ICONIP.

Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks

P. Suganthan, A. Khosravi, S. Ahmadian, 2023, IEEE Transactions on Industrial Informatics.

X-ray image based COVID-19 detection using evolutionary deep learning approach

S. Nahavandi, A. Khosravi, S. Ahmadian, 2022, Expert Systems with Applications.

Towards novel deep neuroevolution models: chaotic levy grasshopper optimization for short-term wind speed forecasting

Saeid Nahavandi, João P. S. Catalão, Abbas Khosravi, 2021, Engineering with Computers.

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

S. Ahmadian, M. Ahmadi, Milad Ahmadian, 2022, Expert Syst. Appl..

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

Parham Moradi, Sajad Ahmadian, S. Ahmadian, 2015, Expert Syst. Appl..

Novel Uncertainty-Aware Deep Neuroevolution Algorithm to Quantify Tidal Forecasting

Md Kislu Noman, J. Catalão, A. Khosravi, 2022, IEEE Transactions on Industry Applications.

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

S. Ahmadian, Vahid Farrahi, M. Rostami, 2022, International Journal of Computational Intelligence Systems.

A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting

Saeid Nahavandi, João P. S. Catalão, Abbas Khosravi, 2021, IEEE Transactions on Industrial Informatics.

A social recommender system based on reliable implicit relationships

Mohsen Afsharchi, Yongli Ren, Mahdi Jalili, 2020, Knowl. Based Syst..

Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting

Saeid Nahavandi, Abbas Khosravi, Abdollah Kavousi-Fard, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Solar irradiance forecasting using a novel hybrid deep ensemble reinforcement learning algorithm

J. Catalão, A. Khosravi, M. Shafie‐khah, 2022, Sustainable Energy, Grids and Networks.

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

M. Jalili, S. Ahmadian, Milad Ahmadian, 2021, Neurocomputing.

A hybrid recommendation system based on profile expansion technique to alleviate cold start problem

Majid Meghdadi, Sajad Ahmadian, Faryad Tahmasebi, 2020, Multimedia Tools and Applications.

A hybrid recommendation system based on profile expansion technique to alleviate cold start problem

S. Ahmadian, M. Meghdadi, Faryad Tahmasebi, 2020, Multimedia Tools and Applications.

A trust-aware recommender algorithm based on users overlapping community structure

Parham Moradi, Mahdi Jalili, Sajad Ahmadian, 2016, 2016 Sixteenth International Conference on Advances in ICT for Emerging Regions (ICTer).

TCARS: Time- and Community-Aware Recommendation System

Parham Moradi, Mahdi Jalili, Nooruldeen Nasih Qader, 2018, Future Gener. Comput. Syst..

An efficient cardiovascular disease detection model based on multilayer perceptron and moth‐flame optimization

A. Chalechale, S. Ahmadian, Saeid Raziani, 2021, Expert Syst. J. Knowl. Eng..

Alleviating data sparsity problem in time-aware recommender systems using a reliable rating profile enrichment approach

Mahdi Jalili, Sajad Ahmadian, Nima Joorabloo, 2022, Expert Syst. Appl..

A novel approach based on multi-view reliability measures to alleviate data sparsity in recommender systems

Mohsen Afsharchi, Majid Meghdadi, Sajad Ahmadian, 2019, Multimedia Tools and Applications.

An improved model of trust-aware recommender systems using reliability measurements

Parham Moradi, Fardin Akhlaghian, Sajad Ahmadian, 2014, 2014 6th Conference on Information and Knowledge Technology (IKT).

New Hybrid Deep Neural Architectural Search-Based Ensemble Reinforcement Learning Strategy for Wind Power Forecasting

Vasco A. Campos, J. Catalão, A. Khosravi, 2022, IEEE Transactions on Industry Applications.

A social recommendation method based on an adaptive neighbor selection mechanism

Mohsen Afsharchi, Majid Meghdadi, Sajad Ahmadian, 2017, Inf. Process. Manag..

Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System

S. Nahavandi, A. Khosravi, S. Ahmadian, 2021, IEEE International Conference on Systems, Man and Cybernetics.

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

Amir Khani Yengikand, S. Ahmadian, M. Meghdadi, 2023, Multimedia Tools and Applications.

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

Mohsen Afsharchi, Majid Meghdadi, Sajad Ahmadian, 2018, J. Inf. Sci..

A Temporal Clustering Approach for Social Recommender Systems

Mohsen Afsharchi, Yongli Ren, Mahdi Jalili, 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Incorporating reliable virtual ratings into social recommendation systems

Mohsen Afsharchi, Majid Meghdadi, Sajad Ahmadian, 2018, Applied Intelligence.

Training back propagation neural networks using asexual reproduction optimization

Sajad Ahmadian, Ali Reza Khanteymoori, S. Ahmadian, 2015, 2015 7th Conference on Information and Knowledge Technology (IKT).

RDERL: Reliable deep ensemble reinforcement learning-based recommender system

S. Ahmadian, M. Ahmadi, Milad Ahmadian, 2023, Knowl. Based Syst..

Expert Systems With Applications

S. Nahavandi, A. Khosravi, S. Ahmadian, 2022 .

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

S. Ahmadian, Mourad Oussalah, Vahid Farrahi, 2024, Neural networks : the official journal of the International Neural Network Society.