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Fatemeh Sharifizadeh
Fatemeh Sharifizadeh
Department of Computer Science, University of Tehran, Iran.
Verified email at ut.ac.ir
Title
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Cited by
Year
Mixture of feature specified experts
SR Kheradpisheh, F Sharifizadeh, A Nowzari-Dalini, M Ganjtabesh, ...
Information Fusion 20, 242-251, 2014
222014
Persian handwritten digits recognition: A divide and conquer approach based on mixture of MLP experts
MM Javidi, R Ebrahimpour, F Sharifizadeh
International Journal of the Physical Sciences 6 (30), 7007-7015, 2011
152011
A modified decision templates method for Persian handwritten digit recognition
MM Javidi, F Sharifizadeh
Journal of American Science 8 (1), 504-512, 2012
112012
Mixture of Experts for Persian handwritten word recognition
R Ebrahimpour, S Sarhangi, F Sharifizadeh
Iranian Journal of Electrical and Electronic Engineering 7 (4), 217-224, 2011
82011
Persian handwritten digit recognition with classifier fusion: class conscious versus class indifferent approaches
R Ebrahimpour, F Sharifizadeh
Tc 1, 1, 2009
72009
Top-down modulated model for object recognition in different categorisation levels
F Sharifizadeh, M Ganjtabesh, A Nowzari-Dalini
International Journal of Bio-Inspired Computation, 2021 Vol.18 No.1, pp.13 …, 2021
22021
Handwritten Word Recognition by Multiple Classifiers: A Divide-and-Conquer Approach
R Ebrahimpour, S Sarhangi, M Javadi, F Sharifizadeh
22011
Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks
F Sharifizadeh, M Ganjtabesh, A Nowzari-Dalini
arXiv preprint arXiv:2102.05401, 2021
2021
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