A mathematical framework for cellular learning automata H Beigy, MR Meybodi Advances in complex systems 7 (03n04), 295-319, 2004 | 207 | 2004 |
Sentiment analysis on stock social media for stock price movement prediction A Derakhshan, H Beigy Engineering applications of artificial intelligence 85, 569-578, 2019 | 140 | 2019 |
Utilizing distributed learning automata to solve stochastic shortest path problems H Beigy, MR Meybodi International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2006 | 137 | 2006 |
On dynamicity of expert finding in community question answering M Neshati, Z Fallahnejad, H Beigy Information Processing & Management 53 (5), 1026-1042, 2017 | 110 | 2017 |
An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams MJ Hosseini, A Gholipour, H Beigy Knowledge and information systems 46, 567-597, 2016 | 105 | 2016 |
Cellular learning automata with multiple learning automata in each cell and its applications H Beigy, MR Meybodi IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2009 | 105 | 2009 |
Density peaks clustering based on density backbone and fuzzy neighborhood A Lotfi, P Moradi, H Beigy Pattern Recognition 107, 107449, 2020 | 93 | 2020 |
New learning automata based algorithms for adaptation of backpropagation algorithm parameters MR Meybodi, H Beigy International Journal of Neural Systems 12 (01), 45-67, 2002 | 92 | 2002 |
Asynchronous cellular learning automata H Beigy, MR Meybodi Automatica 44 (5), 1350-1357, 2008 | 83 | 2008 |
Cellular learning automata and its applications MR Meibodi, H Beigi, M Taher Khani Sharif Journal of Civil Engineering 19 (25), 54-77, 2003 | 75 | 2003 |
New drift detection method for data streams P Sobhani, H Beigy Adaptive and Intelligent Systems: Second International Conference, ICAIS …, 2011 | 72 | 2011 |
A note on learning automata-based schemes for adaptation of BP parameters MR Meybodi, H Beigy Neurocomputing 48 (1-4), 957-974, 2002 | 67 | 2002 |
Open synchronous cellular learning automata H Beigy, MR Meybodi Advances in Complex Systems 10 (04), 527-556, 2007 | 64 | 2007 |
A new continuous action-set learning automaton for function optimization H Beigy, MR Meybodi Journal of the Franklin Institute 343 (1), 27-47, 2006 | 64 | 2006 |
Improved K2 algorithm for Bayesian network structure learning S Behjati, H Beigy Engineering Applications of Artificial Intelligence 91, 103617, 2020 | 60 | 2020 |
A self-organizing channel assignment algorithm: A cellular learning automata approach H Beigy, MR Meybodi International Conference on Intelligent Data Engineering and Automated …, 2003 | 57 | 2003 |
A learning automata-based algorithm for determination of the number of hidden units for three-layer neural networks H Beigy, MR Meybodi International Journal of Systems Science 40 (1), 101-118, 2009 | 56 | 2009 |
Expertise retrieval in bibliographic network: a topic dominance learning approach SH Hashemi, M Neshati, H Beigy Proceedings of the 22nd ACM international conference on Information …, 2013 | 52 | 2013 |
Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification MJ Hosseini, Z Ahmadi, H Beigy Evolving Systems 4, 43-60, 2013 | 41 | 2013 |
Active constrained fuzzy clustering: A multiple kernels learning approach AA Abin, H Beigy Pattern Recognition 48 (3), 953-967, 2015 | 40 | 2015 |