Hamed Azami
Hamed Azami
Harvard University
Verified email at ieee.org
TitleCited byYear
An improved signal segmentation using moving average and Savitzky-Golay filter
H Azami, K Mohammadi, B Bozorgtabar
Journal of Signal and Information Processing 3 (01), 39, 2012
942012
Dispersion entropy: A measure for time-series analysis
M Rostaghi, H Azami
IEEE Signal Processing Letters 23 (5), 610-614, 2016
742016
Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings
H Azami, J Escudero
Biomedical Signal Processing and Control 23, 28-41, 2016
522016
Amplitude-aware permutation entropy: Illustration in spike detection and signal segmentation
H Azami, J Escudero
Computer methods and programs in biomedicine 128, 40-51, 2016
392016
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals
H Azami, M Rostaghi, D Abásolo, J Escudero
IEEE Transactions on Biomedical Engineering, 2017
312017
Classification of GPS satellites using improved back propagation training algorithms
H Azami, MR Mosavi, S Sanei
Wireless personal communications 71 (2), 789-803, 2013
312013
An intelligent approach for variable size segmentation of non-stationary signals
H Azami, H Hassanpour, J Escudero, S Sanei
Journal of advanced research 6 (5), 687-698, 2015
282015
Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis
H Azami, A Fernández, J Escudero
Medical & Biological Engineering & Computing 55 (11), 2037-2052, 2017
262017
Refined composite multivariate generalized multiscale fuzzy entropy: A tool for complexity analysis of multichannel signals
H Azami, J Escudero
Physica A: Statistical Mechanics and its Applications 465, 261-276, 2017
262017
A hybrid evolutionary approach to segmentation of non-stationary signals
H Azami, S Sanei, K Mohammadi, H Hassanpour
Digital Signal Processing 23 (4), 1103-1114, 2013
262013
Univariate and multivariate generalized multiscale entropy to characterise EEG signals in Alzheimer’s disease
H Azami, D Abásolo, S Simons, J Escudero
Entropy 19 (1), 31, 2017
222017
An improved signal segmentation method using genetic algorithm
H Azami, K Mohammadi, H Hassanpour
International Journal of Computer Applications 29 (8), 5-9, 2011
202011
Applying neural network ensembles for clustering of GPS satellites
MR Mosavi, H Azami
International Journal of Geoinformatics 7 (3), 2011
182011
Spike detection approaches for noisy neuronal data: assessment and comparison
H Azami, S Sanei
Neurocomputing 133, 491-506, 2014
172014
A novel signal segmentation method based on standard deviation and variable threshold
H Azami, S Sanei, K Mohammadi
International Journal of Computer Applications 34 (2), 27-34, 2011
172011
Improving the neural network training for face recognition using adaptive learning rate, resilient back propagation and conjugate gradient algorithm
H Azami, S Sanei, K Mohammadi
International Journal of Computer Applications 34 (2), 22-36, 2011
152011
A new adaptive signal segmentation approach based on Hiaguchi’s fractal dimension
H Azami, A Khosravi, M Malekzadeh, S Sanei
International Conference on Intelligent Computing, 152-159, 2012
142012
Amplitude-and fluctuation-based dispersion entropy
H Azami, J Escudero
Entropy 20 (3), 210, 2018
132018
Extracellular spike detection from multiple electrode array using novel intelligent filter and ensemble fuzzy decision making
H Azami, J Escudero, A Darzi, S Sanei
Journal of neuroscience methods 239, 129-138, 2015
132015
A new neural network approach for face recognition based on conjugate gradient algorithms and principal component analysis
H Azami, M Malekzadeh, S Sanei
Journal of mathematics and computer Science 6 (3), 166-175, 2013
132013
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