Traffic light control in non-stationary environments based on multi agent Q-learning M Abdoos, N Mozayani, ALC Bazzan 2011 14th International IEEE conference on intelligent transportation …, 2011 | 297 | 2011 |
Holonic multi-agent system for traffic signals control M Abdoos, N Mozayani, ALC Bazzan Engineering Applications of Artificial Intelligence 26 (5-6), 1575-1587, 2013 | 197 | 2013 |
Hierarchical control of traffic signals using Q-learning with tile coding M Abdoos, N Mozayani, ALC Bazzan Applied intelligence 40, 201-213, 2014 | 85 | 2014 |
Hierarchical Traffic Signal Optimization Using Reinforcement Learning and Traffic Prediction with Long-Short Term Memory M Abdoos, ALC Bazzan Expert Systems with Applications, 2021 | 67 | 2021 |
A Cooperative Multi-Agent System for Traffic Signal Control Using Game Theory and Reinforcement Learning M Abdoos IEEE Intelligent Transportation Systems Magazine, 2020 | 48 | 2020 |
A new efficient approach in clustering ensembles J Azimi, M Abdoos, M Analoui Intelligent Data Engineering and Automated Learning-IDEAL 2007: 8th …, 2007 | 31 | 2007 |
Real-time self-adaptive Q-learning controller for energy management of conventional autonomous vehicles M Fayyazi, M Abdoos, D Phan, M Golafrouz, M Jalili, RN Jazar, R Langari, ... Expert Systems with Applications 222, 119770, 2023 | 27 | 2023 |
Holonification of a network of agents based on graph theory M Abdoos, A Esmaeili, N Mozayani Agent and Multi-Agent Systems. Technologies and Applications: 6th KES …, 2012 | 26 | 2012 |
A semi-supervised method for tumor segmentation in mammogram images H Azary, M Abdoos Journal of Medical Signals & Sensors 10 (1), 12-18, 2020 | 16 | 2020 |
Experience classification for transfer learning in traffic signal control M Norouzi, M Abdoos, ALC Bazzan Journal of Supercomputing 77 (1), 780-795, 2021 | 15 | 2021 |
Fuzzy Decision Making Based on Relationship Analysis between Criteria, proc M Abdoos, N Mozayani North American Fuzzy Information Processing Society Annual Conf, 2005 | 15 | 2005 |
Multi-objective particle swarm optimization of component size and long-term operation of hybrid energy systems under multiple uncertainties M Abdoos, M Ghazvini Journal of Renewable and Sustainable Energy 10 (1), 2018 | 13 | 2018 |
Respiratory motion prediction using deep convolutional long short-term memory network S Nabavi, M Abdoos, ME Moghaddam, M Mohammadi Journal of Medical Signals & Sensors 10 (2), 69-75, 2020 | 10 | 2020 |
Towards reinforcement learning for holonic multi-agent systems M Abdoos, N Mozayani, ALC Bazzan Intelligent Data Analysis 19 (2), 211-232, 2015 | 10 | 2015 |
Churn Prediction in Payment Terminals Using RFM model and Deep Neural Network M Dadfarnia, A Alemi Matinpour, M Abdoos 2020 11th International Conference on Information and Knowledge Technology …, 2020 | 7 | 2020 |
Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach. VN de Almeida, ALC Bazzan, M Abdoos ATT@ IJCAI, 32-46, 2022 | 6 | 2022 |
Improved reinforcement learning in cooperative multi-agent environments using knowledge transfer M Mahdavimoghadam, A Nikanjam, M Abdoos The Journal of Supercomputing, 2022 | 6 | 2022 |
Fuzzy Graph and Collective Multi-Agent Reinforcement Learning for Traffic Signals Control M Abdoos IEEE Intelligent Systems, 2020 | 5 | 2020 |
A combined feature for fingerprint recognition M Abdoos, N Mozayani 2007 International Conference on Computational Intelligence and Security …, 2007 | 5 | 2007 |
Fuzzy decision making based on relationship analysis between criteria A Monireh, M Nasser NAFIPS 2005-2005 Annual Meeting of the North American Fuzzy Information …, 2005 | 5 | 2005 |