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ORCIDAmin Zollanvari
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2020 – today
- 2024
[j40]Azamat Mukhamediya
, Amin Zollanvari:
SRPM-ST: Sequential retraining and pseudo-labeling in mini-batches for self-training. Neurocomputing 605: 128343 (2024)- [j39]Samira Reihanian, Edward R. Dougherty, Amin Zollanvari:
Optimal Bayesian Regression With Vector Autoregressive Data Dependency. IEEE Trans. Signal Process. 72: 1854-1864 (2024) - 2023
- [b1]Amin Zollanvari:
Machine Learning with Python - Theory and Implementation. Springer 2023, ISBN 978-3-031-33341-5, pp. 1-452 - [j38]Azamat Mukhamediya, Siamac Fazli, Amin Zollanvari:
On the Effect of Log-Mel Spectrogram Parameter Tuning for Deep Learning-Based Speech Emotion Recognition. IEEE Access 11: 61950-61957 (2023) - [j37]Arailym Serikbay, Mehdi Bagheri, Amin Zollanvari:
Stacked Ensemble Deep Learning for Outdoor Insulator Surface Condition Classification: A Profound Study on Water Droplets. IEEE Access 11: 102279-102289 (2023) - [j36]Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari:
Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications. IEEE Access 11: 127271-127301 (2023) - [j35]Irina Dolzhikova, Berdakh Abibullaev, Amin Zollanvari:
A Jackknife-Inspired Deep Learning Approach to Subject-Independent Classification of EEG. Pattern Recognit. Lett. 176: 28-33 (2023) - 2022
- [j34]Irina Dolzhikova, Berdakh Abibullaev, Reza Sameni, Amin Zollanvari:
Subject-Independent Classification of Motor Imagery Tasks in EEG Using Multisubject Ensemble CNN. IEEE Access 10: 81355-81363 (2022) - [j33]Berdakh Abibullaev, Kassymzhomart Kunanbayev, Amin Zollanvari:
Subject-Independent Classification of P300 Event-Related Potentials Using a Small Number of Training Subjects. IEEE Trans. Hum. Mach. Syst. 52(5): 843-854 (2022) - [j32]Yerbol Akhmetov, Venera Nurmanova, Mehdi Bagheri, Amin Zollanvari, Gevork B. Gharehpetian:
A Bootstrapping Solution for Effective Interpretation of Transformer Winding Frequency Response. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j31]Berdakh Abibullaev, Amin Zollanvari:
A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces. IEEE Trans. Syst. Man Cybern. Syst. 52(5): 2744-2756 (2022) - [c23]Irina Dolzhikova, Berdakh Abibullaev, Amin Zollanvari:
An Ensemble of Convolutional Neural Networks for Zero-Calibration ERP-Based BCIs. BCI 2022: 1-4 - [c22]Samira Reihanian, Amin Zollanvari:
Optimal Bayesian Regression for Serially Dependent Training Observations. EUSIPCO 2022: 1522-1525 - 2021
- [j30]Amin Zollanvari, Berdakh Abibullaev:
Bias correction for linear discriminant analysis. Pattern Recognit. Lett. 151: 41-47 (2021) - [j29]Yerbol Akhmetov, Venera Nurmanova, Mehdi Bagheri, Amin Zollanvari, Gevork B. Gharehpetian:
A New Diagnostic Technique for Reliable Decision-Making on Transformer FRA Data in Interturn Short-Circuit Condition. IEEE Trans. Ind. Informatics 17(5): 3020-3031 (2021) - [j28]Amin Zollanvari, Kassymzhomart Kunanbayev, Saeid Akhavan Bitaghsir, Mehdi Bagheri:
Transformer Fault Prognosis Using Deep Recurrent Neural Network Over Vibration Signals. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c21]Kassymzhomart Kunanbayev, Dias Azhigulov, Berdakh Abibullaev, Amin Zollanvari:
Deep Transfer Learning for Subject-Independent ERP-based BCIs. BCI 2021: 1-3 - [c20]Kassymzhomart Kunanbayev, Berdakh Abibullaev, Amin Zollanvari:
Data Augmentation for P300-based Brain-Computer Interfaces Using Generative Adversarial Networks. BCI 2021: 1-7 - [c19]Irina Dolzhikova, Berdakh Abibullaev, Reza Sameni, Amin Zollanvari:
An Ensemble CNN for Subject-Independent Classification of Motor Imagery-based EEG. EMBC 2021: 319-324 - [c18]Yassawe Kainolda, Berdakh Abibullaev, Reza Sameni, Amin Zollanvari:
Is Riemannian Geometry Better than Euclidean in Averaging Covariance Matrices for CSP-based Subject-Independent Classification of Motor Imagery? EMBC 2021: 910-914 - [c17]Kassymzhomart Kunanbayev, Islambek Temirbek, Amin Zollanvari:
Complex Encoding. IJCNN 2021: 1-6 - [d1]Berdakh Abibullaev, Amin Zollanvari:
Event-Related Potentials (P300, EEG) - BCI dataset. IEEE DataPort, 2021
- 2020
- [j27]Berdakh Abibullaev, Irina Dolzhikova, Amin Zollanvari:
A Brute-Force CNN Model Selection for Accurate Classification of Sensorimotor Rhythms in BCIs. IEEE Access 8: 101014-101023 (2020) - [j26]Amin Zollanvari, Alex Pappachen James, Reza Sameni:
A Theoretical Analysis of the Peaking Phenomenon in Classification. J. Classif. 37(2): 421-434 (2020)
2010 – 2019
- 2019
- [j25]Berdakh Abibullaev, Amin Zollanvari, Batyrkhan Saduanov, Tohid Alizadeh:
Design and Optimization of a BCI-Driven Telepresence Robot Through Programming by Demonstration. IEEE Access 7: 111625-111636 (2019) - [j24]Amin Zollanvari, Muratkhan Abdirash, Aresh Dadlani, Berdakh Abibullaev:
Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification. IEEE Signal Process. Lett. 26(9): 1300-1304 (2019) - [j23]Berdakh Abibullaev, Amin Zollanvari:
Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces. IEEE J. Biomed. Health Informatics 23(5): 2009-2020 (2019) - [j22]Amin Zollanvari, Edward R. Dougherty:
Optimal Bayesian Classification With Vector Autoregressive Data Dependency. IEEE Trans. Signal Process. 67(12): 3073-3086 (2019) - [c16]Berdakh Abibullaev, Yerzhan Orazayev, Amin Zollanvari:
Novel Spatiospectral Features of ERPs Enhances Brain-Computer Interfaces. BCI 2019: 1-4 - 2018
- [j21]Joshin John Mathew, Amin Zollanvari, Alex Pappachen James:
Edge-Aware Spatial Denoising Filtering Based on a Psychological Model of Stimulus Similarity. IEEE Access 6: 3433-3447 (2018) - [j20]Mehdi Bagheri, Amin Zollanvari, Svyatoslav Nezhivenko:
Transformer Fault Condition Prognosis Using Vibration Signals Over Cloud Environment. IEEE Access 6: 9862-9874 (2018) - [c15]Nurislam Tursynbek, Ghazal Ghahramany, Sheida Nabavi, Amin Zollanvari:
Predictive Meta-analysis of Multiple Microarray Datasets: An Application to Classification of Malignant Gliomas. BIBM 2018: 2423-2428 - 2017
- [j19]Amin Zollanvari, Refik Çaglar Kizilirmak, Yau Hee Kho, Daniel Hernandez-Torrano:
Predicting Students' GPA and Developing Intervention Strategies Based on Self-Regulatory Learning Behaviors. IEEE Access 5: 23792-23802 (2017) - [j18]Hamed Hassani-Saadi, Reza Sameni, Amin Zollanvari:
Interpretive time-frequency analysis of genomic sequences. BMC Bioinform. 18(S-4): 31-39 (2017) - [j17]Amin Zollanvari, Gil Alterovitz:
SNP by SNP by environment interaction network of alcoholism. BMC Syst. Biol. 11(3): 19:1-19:11 (2017) - [j16]Amin Zollanvari:
Nonoptimality of the Maximum-Weight Dependence Tree in Classification. IEEE Signal Process. Lett. 24(1): 71-75 (2017) - [c14]Samira Reihanian, Amin Zollanvari, Alex Pappachen James:
Adaptive face space models with dynamic neural priors and sparse coding. ICECS 2017: 389-392 - 2016
- [j15]Daniyar Bakirov, Alex Pappachen James, Amin Zollanvari:
An efficient method to estimate the optimum regularization parameter in RLDA. Bioinform. 32(22): 3461-3468 (2016) - [j14]Amin Zollanvari, Edward R. Dougherty:
Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations. EURASIP J. Bioinform. Syst. Biol. 2016: 2 (2016) - [c13]Hamed Hassani-Saadi, Reza Sameni, Amin Zollanvari:
Interpretive Time-Frequency Analysis of Genomic Sequences. BCB 2016: 532 - 2015
- [j13]Amin Zollanvari, Edward R. Dougherty:
Generalized Consistent Error Estimator of Linear Discriminant Analysis. IEEE Trans. Signal Process. 63(11): 2804-2814 (2015) - 2014
- [j12]Ulisses M. Braga-Neto, Amin Zollanvari, Edward R. Dougherty:
Cross-validation under separate sampling: strong bias and how to correct it. Bioinform. 30(23): 3349-3355 (2014) - [j11]Amin Zollanvari, Edward R. Dougherty:
Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model. Pattern Recognit. 47(6): 2178-2192 (2014) - [c12]Swetha S. Bobba, Amin Zollanvari, Gil Alterovitz:
Bayesian Prognostic Model for Genomic Discovery in Bipolar Disorder. BIOINFORMATICS 2014: 91-98 - 2013
- [j10]Mohammad Shahrokh Esfahani, Jason M. Knight, Amin Zollanvari, Byung-Jun Yoon, Edward R. Dougherty:
Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification. Pattern Recognit. 46(10): 2783-2797 (2013) - [j9]Amin Zollanvari, Jianping Hua, Edward R. Dougherty:
Analytical study of performance of linear discriminant analysis in stochastic settings. Pattern Recognit. 46(11): 3017-3029 (2013) - [c11]Amin Zollanvari, Edward R. Dougherty:
Random matrix theory in pattern classification: An application to error estimation. ACSSC 2013: 884-887 - [c10]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Effect of mixing probabilities on the bias of cross-validation under separate sampling. GENSiPS 2013: 98-99 - [c9]Amin Zollanvari, Edward R. Dougherty:
Application of double asymptotics and random matrix theory in error estimation of regularized linear discriminant analysis. GlobalSIP 2013: 57-59 - [c8]Amin Zollanvari, Jianping Hua, Edward R. Dougherty:
Performance of linear discriminant analysis in stochastic settings. ICASSP 2013: 3437-3441 - 2012
- [j8]Chang F. Quo, Chanchala Kaddi, John H. Phan, Amin Zollanvari, Mingqing Xu, May D. Wang, Gil Alterovitz:
Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities. Briefings Bioinform. 13(4): 430-445 (2012) - [j7]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Exact representation of the second-order moments for resubstitution and leave-one-out error estimation for linear discriminant analysis in the univariate heteroskedastic Gaussian model. Pattern Recognit. 45(2): 908-917 (2012) - 2011
- [j6]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis. IEEE Trans. Signal Process. 59(9): 4238-4255 (2011) - [c7]Amin Zollanvari, Nancy L. Saccone, Laura J. Bierut, Marco Ramoni, Gil Alterovitz:
Is the reduction of dimensionality to a small number of features always necessary in constructing predictive models for analysis of complex diseases or behaviours? EMBC 2011: 3573-3576 - [c6]Mohammad Shahrokh Esfahani, Amin Zollanvari, Byung-Jun Yoon, Edward R. Dougherty:
Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood. GENSiPS 2011: 91-94 - 2010
- [j5]Amin Zollanvari, Mohammad Ali Masnadi-Shirazi:
A class of comprehensive constraints for design of PCWLSE Laguerre and FIR filters: A boost in performance. Signal Process. 90(4): 1118-1130 (2010) - [j4]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis. IEEE Trans. Inf. Theory 56(2): 784-804 (2010) - [c5]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
RMS bounds and sample size considerations for error estimation in linear discriminant analysis. GENSiPS 2010: 1-4
2000 – 2009
- 2009
- [j3]Amin Zollanvari, Mary Jane Cunningham, Ulisses M. Braga-Neto, Edward R. Dougherty:
Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes. BMC Bioinform. 10(S-11): 10 (2009) - [j2]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers. Pattern Recognit. 42(11): 2705-2723 (2009) - [c4]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Sample size calculation from specified RMS of the resubstitution error for linear classifiers. GENSiPS 2009: 1-2 - [c3]Amin Zollanvari, Mohammad Ali Masnadi-Shirazi:
A class of comprehensive constraints for the PCWLSE filter design: A boost in performance. ICASSP 2009: 3217-3220 - 2008
- [j1]Mohammad Ali Masnadi-Shirazi, Amin Zollanvari:
Complex digital Laguerre filter design with weighted least square error subject to magnitude and phase constraints. Signal Process. 88(4): 796-810 (2008) - 2006
- [c2]Mohammad Ali Masnadi-Shirazi, Amin Zollanvari:
An Extended ε-Perturbation Method to the Problem of Semi-Infinite Quadratic Programming in Constrained FIR Filter Design. ICASSP (3) 2006: 580-583 - [c1]Amin Zollanvari, Mohammad Ali Masnadi-Shirazi:
An Extended Dual Parameterization Method to Constrained Least Square Laguerre Filter Design. ICASSP (3) 2006: 588-591
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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