Mehrdad Rostami

Orcid: 0000-0001-5710-217X

According to our database1, Mehrdad Rostami authored at least 33 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Health-aware food recommendation system with dual attention in heterogeneous graphs.
Comput. Biol. Medicine, February, 2024

Emotional Insights for Food Recommendations.
Proceedings of the Advances in Information Retrieval, 2024

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

AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments.
Int. J. Medical Informatics, April, 2023

Community Detection Algorithms in Healthcare Applications: A Systematic Review.
IEEE Access, 2023

Towards Health-Aware Fairness in Food Recipe Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022
Adaptive Motion Cueing Algorithm Based on Fuzzy Logic Using Online Dexterity and Direction Monitoring.
IEEE Syst. J., 2022

A novel attributed community detection by integration of feature weighting and node centrality.
Online Soc. Networks Media, 2022

Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection.
Knowl. Based Syst., 2022

A new attributed graph clustering by using label propagation in complex networks.
J. King Saud Univ. Comput. Inf. Sci., 2022

An effective explainable food recommendation using deep image clustering and community detection.
Intell. Syst. Appl., 2022

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

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods.
Comput. Biol. Medicine, 2022

Graph-based relevancy-redundancy gene selection method for cancer diagnosis.
Comput. Biol. Medicine, 2022

Gene selection for microarray data classification via multi-objective graph theoretic-based method.
Artif. Intell. Medicine, 2022

A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering.
IEEE Access, 2022

A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
Presentation of a recommender system with ensemble learning and graph embedding: a case on MovieLens.
Multim. Tools Appl., 2021

A novel community detection based genetic algorithm for feature selection.
J. Big Data, 2021

Prediction of chemoresistance trait of cancer cell lines using machine learning algorithms and systems biology analysis.
J. Big Data, 2021

A Hotel Recommender System for Tourists Using the Artificial Bee Colony Algorithm and Fuzzy TOPSIS Model: A Case Study of TripAdvisor.
Int. J. Inf. Technol. Decis. Mak., 2021

Review of swarm intelligence-based feature selection methods.
Eng. Appl. Artif. Intell., 2021

Presentation a Trust Walker for rating prediction in recommender system with Biased Random Walk: Effects of H-index centrality, similarity in items and friends.
Eng. Appl. Artif. Intell., 2021

A modified DeepWalk method for link prediction in attributed social network.
Computing, 2021

A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding.
Comput. Biol. Medicine, 2021

Gene Selection for Cancer Diagnosis via Iterative Graph Clustering-Based Approach Communication.
Proceedings of the Workshop on Towards Smarter Health Care: Can Artificial Intelligence Help? co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), 2021

2020
Prediction optimization of diffusion paths in social networks using integration of ant colony and densest subgraph algorithms.
J. High Speed Networks, 2020

A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty.
J. Big Data, 2020

Review of Swarm Intelligence-based Feature Selection Methods.
CoRR, 2020

2019
Improving Recommender Systems Accuracy in Social Networks Using Popularity.
Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

2017
BESS connection impact assessment.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2015
Integration of graph clustering with ant colony optimization for feature selection.
Knowl. Based Syst., 2015

A graph theoretic approach for unsupervised feature selection.
Eng. Appl. Artif. Intell., 2015


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