Sajad Ahmadian

Orcid: 0000-0002-3080-3192

According to our database1, Sajad Ahmadian authored at least 32 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
DHSIRS: a novel deep hybrid side information-based recommender system.
Multim. Tools Appl., September, 2023

A novel healthy and time-aware food recommender system using attributed community detection.
Expert Syst. Appl., July, 2023

Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks.
IEEE Trans. Ind. Informatics, March, 2023

RDERL: Reliable deep ensemble reinforcement learning-based recommender system.
Knowl. Based Syst., March, 2023

2022
Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A deep learning based trust- and tag-aware recommender system.
Neurocomputing, 2022

Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement.
Int. J. Comput. Intell. Syst., 2022

X-ray image based COVID-19 detection using evolutionary deep learning approach.
Expert Syst. Appl., 2022

Alleviating data sparsity problem in time-aware recommender systems using a reliable rating profile enrichment approach.
Expert Syst. Appl., 2022

A reliable deep representation learning to improve trust-aware recommendation systems.
Expert Syst. Appl., 2022

An efficient cardiovascular disease detection model based on multilayer perceptron and moth-flame optimization.
Expert Syst. J. Knowl. Eng., 2022

A Novel Explainable and Health-aware Food Recommender System.
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.
IEEE Trans. Ind. Informatics, 2021

A hybrid recommendation system based on profile expansion technique to alleviate cold start problem.
Multim. Tools Appl., 2021

A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19).
Comput. Biol. Medicine, 2021

An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis.
Appl. Soft Comput., 2021

Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems.
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.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

2020
A social recommender system based on reliable implicit relationships.
Knowl. Based Syst., 2020

Neuroevolution-based autonomous robot navigation: A comparative study.
Cogn. Syst. Res., 2020

Neural Network Training Using a Biogeography-Based Learning Strategy.
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.
Multim. Tools Appl., 2019

An effective social recommendation method based on user reputation model and rating profile enhancement.
J. Inf. Sci., 2019

Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendation.
Proceedings of the Information Retrieval Technology, 2019

2018
A social recommendation method based on an adaptive neighbor selection mechanism.
Inf. Process. Manag., 2018

TCARS: Time- and Community-Aware Recommendation System.
Future Gener. Comput. Syst., 2018

Incorporating reliable virtual ratings into social recommendation systems.
Appl. Intell., 2018

Evaluating Collaborative Filtering Recommender Algorithms: A Survey.
IEEE Access, 2018

A Temporal Clustering Approach for Social Recommender Systems.
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.
Expert Syst. Appl., 2015


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