| 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 | 318 | 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 | 214 | 2013 |
| Hierarchical control of traffic signals using Q-learning with tile coding M Abdoos, N Mozayani, ALC Bazzan Applied intelligence 40 (2), 201-213, 2014 | 96 | 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 | 91 | 2021 |
| A Cooperative Multi-Agent System for Traffic Signal Control Using Game Theory and Reinforcement Learning M Abdoos IEEE Intelligent Transportation Systems Magazine, 2020 | 69 | 2020 |
| 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 | 41 | 2023 |
| A new efficient approach in clustering ensembles J Azimi, M Abdoos, M Analoui International Conference on Intelligent Data Engineering and Automated …, 2007 | 31 | 2007 |
| Holonification of a network of agents based on graph theory M Abdoos, A Esmaeili, N Mozayani KES International Symposium on Agent and Multi-Agent Systems: Technologies …, 2012 | 26 | 2012 |
| Experience classification for transfer learning in traffic signal control M Norouzi, M Abdoos, ALC Bazzan Journal of Supercomputing 77 (1), 780-795, 2021 | 20 | 2021 |
| 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 |
| Fuzzy Decision Making Based on Relationship Analysis between Criteria, proc M Abdoos, N Mozayani north American fuzzy information processing society Annual conf, 2005 | 16 | 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 | 14 | 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 | 12 | 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 |
| Improved reinforcement learning in cooperative multi-agent environments using knowledge transfer M Mahdavimoghadam, A Nikanjam, M Abdoos The Journal of Supercomputing, 2022 | 8 | 2022 |
| Fuzzy Graph and Collective Multi-Agent Reinforcement Learning for Traffic Signals Control M Abdoos IEEE Intelligent Systems, 2020 | 8 | 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 | 7 | 2022 |
| 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 |
| Improving traffic signal control with joint-action reinforcement learning JVB Labres, ALC Bazzan, M Abdoos 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-08, 2021 | 5 | 2021 |
| 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 |
Ana BazzanUFRGSVerified email at inf.ufrgs.br
