| Sparse representation for signal classification K Huang, S Aviyente Advances in neural information processing systems 19, 2006 | 895 | 2006 |
| Extended Kalman filtering for remaining-useful-life estimation of bearings RK Singleton, EG Strangas, S Aviyente IEEE Transactions on Industrial Electronics 62 (3), 1781-1790, 2014 | 399 | 2014 |
| Compressed sensing framework for EEG compression S Aviyente 2007 IEEE/SP 14th workshop on statistical signal processing, 181-184, 2007 | 218 | 2007 |
| Wavelet feature selection for image classification K Huang, S Aviyente IEEE Transactions on Image Processing 17 (9), 1709-1720, 2008 | 210 | 2008 |
| Evidence of disrupted functional connectivity in the brain after combat-related blast injury SR Sponheim, KA McGuire, SS Kang, ND Davenport, S Aviyente, ... Neuroimage 54, S21-S29, 2011 | 197 | 2011 |
| Identification of intermittent electrical and mechanical faults in permanent-magnet AC drives based on time–frequency analysis WG Zanardelli, EG Strangas, S Aviyente IEEE Transactions on Industry Applications 43 (4), 971-980, 2007 | 169 | 2007 |
| Time–frequency analysis for efficient fault diagnosis and failure prognosis for interior permanent-magnet AC motors EG Strangas, S Aviyente, SSH Zaidi IEEE Transactions on Industrial Electronics 55 (12), 4191-4199, 2008 | 167 | 2008 |
| A phase synchrony measure for quantifying dynamic functional integration in the brain S Aviyente, EM Bernat, WS Evans, SR Sponheim Human brain mapping 32 (1), 80-93, 2011 | 133 | 2011 |
| Extension of PCA to higher order data structures: An introduction to tensors, tensor decompositions, and tensor PCA A Zare, A Ozdemir, MA Iwen, S Aviyente Proceedings of the IEEE 106 (8), 1341-1358, 2018 | 131 | 2018 |
| Minimum entropy time-frequency distributions S Aviyente, WJ Williams IEEE Signal Processing Letters 12 (1), 37-40, 2004 | 128 | 2004 |
| Prognosis of gear failures in DC starter motors using hidden Markov models SSH Zaidi, S Aviyente, M Salman, KK Shin, EG Strangas IEEE Transactions on industrial Electronics 58 (5), 1695-1706, 2010 | 127 | 2010 |
| Time-frequency based phase-amplitude coupling measure for neuronal oscillations TTK Munia, S Aviyente Scientific reports 9 (1), 12441, 2019 | 101 | 2019 |
| The use of bearing currents and vibrations in lifetime estimation of bearings RK Singleton, EG Strangas, S Aviyente IEEE Transactions on Industrial Informatics 13 (3), 1301-1309, 2016 | 91 | 2016 |
| Scale invariant feature extraction algorithm for the automatic diagnosis of rotor asymmetries in induction motors J Antonino-Daviu, S Aviyente, EG Strangas, M Riera-Guasp IEEE Transactions on Industrial Informatics 9 (1), 100-108, 2012 | 86 | 2012 |
| A time-frequency-based approach to phase and phase synchrony estimation S Aviyente, AY Mutlu IEEE Transactions on Signal Processing 59 (7), 3086-3098, 2011 | 72 | 2011 |
| Information-theoretic wavelet packet subband selection for texture classification K Huang, S Aviyente Signal Processing 86 (7), 1410-1420, 2006 | 69 | 2006 |
| Tensor based temporal and multilayer community detection for studying brain dynamics during resting state fMRI E Al-Sharoa, M Al-Khassaweneh, S Aviyente IEEE Transactions on Biomedical Engineering 66 (3), 695-709, 2018 | 68 | 2018 |
| A tensor decomposition-based approach for detecting dynamic network states from EEG AG Mahyari, DM Zoltowski, EM Bernat, S Aviyente IEEE Transactions on Biomedical Engineering 64 (1), 225-237, 2016 | 68 | 2016 |
| A weighted small world network measure for assessing functional connectivity M Bolanos, EM Bernat, B He, S Aviyente Journal of neuroscience methods 212 (1), 133-142, 2013 | 65 | 2013 |
| Sending mixed signals: worry is associated with enhanced initial error processing but reduced call for subsequent cognitive control TP Moran, EM Bernat, S Aviyente, HS Schroder, JS Moser Social cognitive and affective neuroscience 10 (11), 1548-1556, 2015 | 64 | 2015 |
Edward BernatUniversity of Maryland-College ParkVerified email at umd.edu
