| Transformer fault prognosis using deep recurrent neural network over vibration signals A Zollanvari, K Kunanbayev, SA Bitaghsir, M Bagheri IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 119 | 2020 |
| Transformer fault condition prognosis using vibration signals over cloud environment M Bagheri, A Zollanvari, S Nezhivenko IEEE access 6, 9862-9874, 2018 | 108 | 2018 |
| Predicting students’ GPA and developing intervention strategies based on self-regulatory learning behaviors A Zollanvari, RC Kizilirmak, YH Kho, D Hernández-Torrano IEEE Access 5, 23792-23802, 2017 | 82 | 2017 |
| Prevalence of halitosis in children considering oral hygiene, gender and age A Villa, A Zollanvari, G Alterovitz, MG Cagetti, L Strohmenger, S Abati International journal of dental hygiene 12 (3), 208-212, 2014 | 75 | 2014 |
| A New Transformer FRA Measurement Technique to Reach Smart Interpretation for Inter-disk Faults V Nurmanova, M Bagheri, A Zollanvari, K Aliakhmet, Y Akhmetov, ... IEEE Transactions on Power Delivery 34 (4), 1508-1519, 2019 | 67 | 2019 |
| The illusion of distribution-free small-sample classification in genomics E R Dougherty, A Zollanvari, U M Braga-Neto Current genomics 12 (5), 333-341, 2011 | 52 | 2011 |
| Analytic study of performance of error estimators for linear discriminant analysis A Zollanvari, UM Braga-Neto, ER Dougherty IEEE Transactions on Signal Processing 59 (9), 4238-4255, 2011 | 52 | 2011 |
| A new vibration analysis approach for transformer fault prognosis over cloud environment M Bagheri, S Nezhivenko, MS Naderi, A Zollanvari International Journal of Electrical Power & Energy Systems 100, 104-116, 2018 | 50 | 2018 |
| Generalized Consistent Error Estimator of Linear Discriminant Analysis A Zollanvari, E Dougherty IEEE Transactions on Signal Processing 63 (11), 2804-2814, 2015 | 45 | 2015 |
| Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model A Zollanvari, ER Dougherty Pattern recognition 47 (6), 2178-2192, 2014 | 42 | 2014 |
| On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers A Zollanvari, UM Braga-Neto, ER Dougherty Pattern Recognition 42 (11), 2705-2723, 2009 | 38 | 2009 |
| A systematic deep learning model selection for P300-based brain–computer interfaces B Abibullaev, A Zollanvari IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (5), 2744-2756, 2021 | 37 | 2021 |
| Temporal phenome analysis of a large electronic health record cohort enables identification of hospital-acquired complications JL Warner, A Zollanvari, Q Ding, P Zhang, GM Snyder, G Alterovitz Journal of the American Medical Informatics Association 20 (e2), e281-e287, 2013 | 36 | 2013 |
| Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications B Abibullaev, A Keutayeva, A Zollanvari IEEE Access 11, 127271-127301, 2023 | 35 | 2023 |
| Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces B Abibullaev, A Zollanvari IEEE Journal of Biomedical and Health Informatics 23 (5), 2009-2020, 2019 | 32 | 2019 |
| A new diagnostic technique for reliable decision-making on transformer FRA data in interturn short-circuit condition Y Akhmetov, V Nurmanova, M Bagheri, A Zollanvari, GB Gharehpetian IEEE Transactions on Industrial Informatics 17 (5), 3020-3031, 2020 | 29 | 2020 |
| A Theoretical Analysis of the Peaking Phenomenon in Classification A Zollanvari, AP James, R Sameni Journal of Classification 37, 421-434, 2019 | 29 | 2019 |
| Cross-validation under separate sampling: strong bias and how to correct it UM Braga-Neto, A Zollanvari, ER Dougherty Bioinformatics 30 (23), 3349-3355, 2014 | 28 | 2014 |
| Exact representation of the second-order moments for resubstitution and leave-one-out error estimation for linear discriminant analysis in the univariate heteroskedastic … A Zollanvari, U Braga-Neto, ER Dougherty Pattern recognition 45 (2), 908-917, 2012 | 28 | 2012 |
| Reverse engineering biomolecular systems using− omic data: challenges, progress and opportunities CF Quo, C Kaddi, JH Phan, A Zollanvari, M Xu, MD Wang, G Alterovitz Briefings in bioinformatics 13 (4), 430-445, 2012 | 26 | 2012 |
Mehdi BagheriAssociate Professor, Nazarbayev University, University of New South Wales, NUSยืนยันอีเมลแล้วที่ nu.edu.kz