Hamid Beigy
Cited by
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A mathematical framework for cellular learning automata
H Beigy, MR Meybodi
Advances in complex systems 7 (03n04), 295-319, 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
Utilizing distributed learning automata to solve stochastic shortest path problems
H Beigy, MR Meybodi
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2006
On dynamicity of expert finding in community question answering
M Neshati, Z Fallahnejad, H Beigy
Information Processing & Management 53 (5), 1026-1042, 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
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
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
Density peaks clustering based on density backbone and fuzzy neighborhood
A Lotfi, P Moradi, H Beigy
Pattern Recognition 107, 107449, 2020
Asynchronous cellular learning automata
H Beigy, MR Meybodi
Automatica 44 (5), 1350-1357, 2008
Cellular learning automata and its applications
MR Meibodi, H Beigi, M Taher Khani
Sharif Journal of Civil Engineering 19 (25), 54-77, 2003
New drift detection method for data streams
P Sobhani, H Beigy
Adaptive and Intelligent Systems: Second International Conference, ICAIS …, 2011
A note on learning automata-based schemes for adaptation of BP parameters
MR Meybodi, H Beigy
Neurocomputing 48 (1-4), 957-974, 2002
Open synchronous cellular learning automata
H Beigy, MR Meybodi
Advances in Complex Systems 10 (04), 527-556, 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
Improved K2 algorithm for Bayesian network structure learning
S Behjati, H Beigy
Engineering Applications of Artificial Intelligence 91, 103617, 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
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
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
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
Active constrained fuzzy clustering: A multiple kernels learning approach
AA Abin, H Beigy
Pattern Recognition 48 (3), 953-967, 2015
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