Amin Zollanvari

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 39

Top Topics

Linear Discriminant

Bayesian Classification

Top Venues

IEEE Trans. Signal Process.

IEEE Signal Process. Lett.

Publications

Azamat Mukhamediya, Amin Zollanvari
SRPM-ST: Sequential retraining and pseudo-labeling in mini-batches for self-training. Neurocomputing 605 (2024)
Samira Reihanian, Edward R. Dougherty, Amin Zollanvari
Optimal Bayesian Regression With Vector Autoregressive Data Dependency. IEEE Trans. Signal Process. 72 (2024)
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 (2023)
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 (2023)
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 (2023)
Irina Dolzhikova, Berdakh Abibullaev, Amin Zollanvari
A Jackknife-Inspired Deep Learning Approach to Subject-Independent Classification of EEG. Pattern Recognit. Lett. 176 (2023)
Berdakh Abibullaev, Amin Zollanvari
A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces. IEEE Trans. Syst. Man Cybern. Syst. 52 (5) (2022)
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) (2022)
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 (2022)
Samira Reihanian, Amin Zollanvari
Optimal Bayesian Regression for Serially Dependent Training Observations. EUSIPCO (2022)
Irina Dolzhikova, Berdakh Abibullaev, Reza Sameni, Amin Zollanvari
Subject-Independent Classification of Motor Imagery Tasks in EEG Using Multisubject Ensemble CNN. IEEE Access 10 (2022)
Irina Dolzhikova, Berdakh Abibullaev, Amin Zollanvari
An Ensemble of Convolutional Neural Networks for Zero-Calibration ERP-Based BCIs. BCI (2022)
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) (2021)
Irina Dolzhikova, Berdakh Abibullaev, Reza Sameni, Amin Zollanvari
An Ensemble CNN for Subject-Independent Classification of Motor Imagery-based EEG. EMBC (2021)
Kassymzhomart Kunanbayev, Berdakh Abibullaev, Amin Zollanvari
Data Augmentation for P300-based Brain-Computer Interfaces Using Generative Adversarial Networks. BCI (2021)
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)
Amin Zollanvari, Berdakh Abibullaev
Bias correction for linear discriminant analysis. Pattern Recognit. Lett. 151 (2021)
Kassymzhomart Kunanbayev, Dias Azhigulov, Berdakh Abibullaev, Amin Zollanvari
Deep Transfer Learning for Subject-Independent ERP-based BCIs. BCI (2021)
Kassymzhomart Kunanbayev, Islambek Temirbek, Amin Zollanvari
Complex Encoding. IJCNN (2021)
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 (2021)
Berdakh Abibullaev, Irina Dolzhikova, Amin Zollanvari
A Brute-Force CNN Model Selection for Accurate Classification of Sensorimotor Rhythms in BCIs. IEEE Access 8 (2020)
Amin Zollanvari, Alex Pappachen James, Reza Sameni
A Theoretical Analysis of the Peaking Phenomenon in Classification. J. Classif. 37 (2) (2020)
Berdakh Abibullaev, Amin Zollanvari
Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces. IEEE J. Biomed. Health Informatics 23 (5) (2019)
Berdakh Abibullaev, Yerzhan Orazayev, Amin Zollanvari
Novel Spatiospectral Features of ERPs Enhances Brain-Computer Interfaces. BCI (2019)
Berdakh Abibullaev, Amin Zollanvari, Batyrkhan Saduanov, Tohid Alizadeh
Design and Optimization of a BCI-Driven Telepresence Robot Through Programming by Demonstration. IEEE Access 7 (2019)
Amin Zollanvari, Edward R. Dougherty
Optimal Bayesian Classification With Vector Autoregressive Data Dependency. IEEE Trans. Signal Process. 67 (12) (2019)
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) (2019)
Joshin John Mathew, Amin Zollanvari, Alex Pappachen James
Edge-Aware Spatial Denoising Filtering Based on a Psychological Model of Stimulus Similarity. IEEE Access 6 (2018)
Nurislam Tursynbek, Ghazal Ghahramany, Sheida Nabavi, Amin Zollanvari
Predictive Meta-analysis of Multiple Microarray Datasets: An Application to Classification of Malignant Gliomas. BIBM (2018)
Mehdi Bagheri, Amin Zollanvari, Svyatoslav Nezhivenko
Transformer Fault Condition Prognosis Using Vibration Signals Over Cloud Environment. IEEE Access 6 (2018)
Samira Reihanian, Amin Zollanvari, Alex Pappachen James
Adaptive face space models with dynamic neural priors and sparse coding. ICECS (2017)
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 (2017)
Hamed Hassani-Saadi, Reza Sameni, Amin Zollanvari
Interpretive time-frequency analysis of genomic sequences. BMC Bioinform. 18 (S-4) (2017)
Amin Zollanvari
Nonoptimality of the Maximum-Weight Dependence Tree in Classification. IEEE Signal Process. Lett. 24 (1) (2017)
Amin Zollanvari, Gil Alterovitz
SNP by SNP by environment interaction network of alcoholism. BMC Syst. Biol. 11 (3) (2017)
Hamed Hassani-Saadi, Reza Sameni, Amin Zollanvari
Interpretive Time-Frequency Analysis of Genomic Sequences. BCB (2016)
Daniyar Bakirov, Alex Pappachen James, Amin Zollanvari
An efficient method to estimate the optimum regularization parameter in RLDA. Bioinform. 32 (22) (2016)
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 (2016)
Amin Zollanvari, Edward R. Dougherty
Generalized Consistent Error Estimator of Linear Discriminant Analysis. IEEE Trans. Signal Process. 63 (11) (2015)
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) (2014)
Swetha S. Bobba, Amin Zollanvari, Gil Alterovitz
Bayesian Prognostic Model for Genomic Discovery in Bipolar Disorder. BIOINFORMATICS (2014)
Ulisses M. Braga-Neto, Amin Zollanvari, Edward R. Dougherty
Cross-validation under separate sampling: strong bias and how to correct it. Bioinform. 30 (23) (2014)
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) (2013)
Amin Zollanvari, Jianping Hua, Edward R. Dougherty
Performance of linear discriminant analysis in stochastic settings. ICASSP (2013)
Amin Zollanvari, Jianping Hua, Edward R. Dougherty
Analytical study of performance of linear discriminant analysis in stochastic settings. Pattern Recognit. 46 (11) (2013)
Amin Zollanvari, Edward R. Dougherty
Application of double asymptotics and random matrix theory in error estimation of regularized linear discriminant analysis. GlobalSIP (2013)
Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty
Effect of mixing probabilities on the bias of cross-validation under separate sampling. GENSiPS (2013)
Amin Zollanvari, Edward R. Dougherty
Random matrix theory in pattern classification: An application to error estimation. ACSSC (2013)
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) (2012)
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) (2012)
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) (2011)
Mohammad Shahrokh Esfahani, Amin Zollanvari, Byung-Jun Yoon, Edward R. Dougherty
Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood. GENSiPS (2011)
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)
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) (2010)
Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty
RMS bounds and sample size considerations for error estimation in linear discriminant analysis. GENSiPS (2010)
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) (2010)
Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty
Sample size calculation from specified RMS of the resubstitution error for linear classifiers. GENSiPS (2009)
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) (2009)
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) (2009)
Amin Zollanvari, Mohammad Ali Masnadi-Shirazi
A class of comprehensive constraints for the PCWLSE filter design: A boost in performance. ICASSP (2009)
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) (2008)
Amin Zollanvari, Mohammad Ali Masnadi-Shirazi
An Extended Dual Parameterization Method to Constrained Least Square Laguerre Filter Design. ICASSP (3) (2006)
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)