| Dispersion entropy: A measure for time-series analysis M Rostaghi, H Azami IEEE Signal Processing Letters 23 (5), 610-614, 2016 | 169 | 2016 |
| An improved signal segmentation using moving average and Savitzky-Golay filter H Azami, K Mohammadi, B Bozorgtabar Scientific Research Publishing, 2012 | 123 | 2012 |
| 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 | 88 | 2016 |
| 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 | 77 | 2017 |
| 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 | 70 | 2017 |
| 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 | 70 | 2016 |
| 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 | 46 | 2017 |
| Classification of GPS satellites using improved back propagation training algorithms H Azami, MR Mosavi, S Sanei Wireless personal communications 71 (2), 789-803, 2013 | 46 | 2013 |
| 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 | 33 | 2017 |
| 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 | 32 | 2015 |
| Amplitude-and fluctuation-based dispersion entropy H Azami, J Escudero Entropy 20 (3), 210, 2018 | 30 | 2018 |
| Application of dispersion entropy to status characterization of rotary machines M Rostaghi, MR Ashory, H Azami Journal of Sound and Vibration 438, 291-308, 2019 | 27 | 2019 |
| 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 | 27 | 2013 |
| An improved signal segmentation method using genetic algorithm H Azami, K Mohammadi, H Hassanpour International Journal of Computer Applications 29 (8), 5-9, 2011 | 27 | 2011 |
| Coarse-graining approaches in univariate multiscale sample and dispersion entropy H Azami, J Escudero Entropy 20 (2), 138, 2018 | 25 | 2018 |
| Spike detection approaches for noisy neuronal data: assessment and comparison H Azami, S Sanei Neurocomputing 133, 491-506, 2014 | 23 | 2014 |
| Applying neural network ensembles for clustering of GPS satellites MR Mosavi, H Azami International Journal of Geoinformatics 7 (3), 2011 | 23 | 2011 |
| 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 | 22 | 2011 |
| Multiscale Fluctuation-based Dispersion Entropy and its Applications to Neurological Diseases H Azami, SE Arnold, S Sanei, Z Chang, G Sapiro, J Escudero, AS Gupta IEEE Access 7, 68718-68733, 2019 | 17 | 2019 |
| 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 | 17 | 2015 |
Javier Escudero (ORCID:0000-0002-2...School of Engineering. University of Edinburgh. UKVerified email at ed.ac.uk
