| Feature selection for high dimensional imbalanced class data using harmony search A Moayedikia, KL Ong, YL Boo, WGS Yeoh, R Jensen Engineering Applications of Artificial Intelligence 57, 38-49, 2017 | 163 | 2017 |
| Enriched ant colony optimization and its application in feature selection R Forsati, A Moayedikia, R Jensen, M Shamsfard, MR Meybodi Neurocomputing 142, 354–371, 2014 | 87 | 2014 |
| A novel efficient algorithm for mobile robot localization M Mirkhani, R Forsati, AM Shahri, A Moayedikia Robotics and Autonomous Systems 61 (9), 920-931, 2013 | 60 | 2013 |
| An integrated crowdshipping framework for green last mile delivery H Ghaderi, PW Tsai, L Zhang, A Moayedikia Sustainable Cities and Society 78, 2022 | 52 | 2022 |
| Weighted bee colony algorithm for discrete optimization problems with application to feature selection A Moayedikia, R Jensen, UK Wiil, R Forsati Engineering Applications of Artificial Intelligence 44, 153-167, 2015 | 47 | 2015 |
| A novel approach for feature selection based on the bee colony optimization R Forsati, A Moayedikia, A Keikha, M Shamsfard International Journal of Computer Applications 43 (8), 30-34, 2012 | 41 | 2012 |
| Multi-objective community detection algorithm with node importance analysis in attributed networks A Moayedikia Applied Soft Computing 67, 434-451, 2018 | 37 | 2018 |
| An effective Web page recommender using binary data clustering R Forsati, A Moayedikia, M Shamsfard Information Retrieval Journal 18 (3), 167-214, 2015 | 32 | 2015 |
| Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach A Moayedikia, W Yeoh, KL Ong, YL Boo Decision Support Systems, 2019 | 31 | 2019 |
| Deciding Discipline, Course and University through TOPSIS C Nanayakkara, W Yeoh, A Lee, A Moayedikia Studies in Higher Education, 2019 | 24 | 2019 |
| Optimizing microtask assignment on crowdsourcing platforms using Markov chain Monte Carlo A Moayedikia, H Ghaderi, W Yeoh Decision Support Systems, 2020 | 21 | 2020 |
| Task assignment in microtask crowdsourcing platforms using learning automata A Moayedikia, K Ong, YL Boo, W Yeoh Engineering Applications of Artificial Intelligence 74, 212 - 225, 2018 | 20 | 2018 |
| Framework and Literature Analysis for Crowdsourcing’s Answer Aggregation A Moayedikia, W Yeoh, KL Ong, YL Boo Journal of Computer Information Systems 58 (1), 1-12, 2017 | 17 | 2017 |
| Heuristic Approach to Solve Feature Selection Problem R Forsati, A Moayedikia, B Safarkhani DICTAP (2), 707-717, 2011 | 15 | 2011 |
| Bee colony based worker reliability estimation algorithm in microtask crowdsourcing A Moayedikia, KL Ong, YL Boo, W Yeoh 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 12 | 2016 |
| Data-driven technologies for future healthcare systems MA Rahman, A Moayedikia, UK Wiil Frontiers in Medical Technology 5, 1183687, 2023 | 4 | 2023 |
| Data Mining: 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers YL Boo, D Stirling, L Chi, L Liu, KL Ong, G Williams Springer, 2018 | 3 | 2018 |
| Three-layered location recommendation algorithm using spectral clustering A Moayedikia, H Jahani, MA Rahman, KL Ong Social Network Analysis and Mining 14 (1), 1-17, 2024 | | 2024 |
| Dynamic payment on microtasking platforms using bee colony optimization A Moayedikia Expert Systems with Applications 255, 2024 | | 2024 |
| Studying crowdsourcing using machine learning and optimisation-based approaches A Moayedikia Deakin University, 2018 | | 2018 |
Kok-Leong OngProfessor of Business Analytics, RMIT UniversityAdresse e-mail validée de rmit.edu.au