An Extended ε-Perturbation Method to the Problem of Semi-Infinite Quadratic Programming in Constrained FIR Filter Design. - Mohammad Ali Masnadi-Shirazi; Amin Zollanvari (ICASSP (3), 2006)

An Extended Dual Parameterization Method to Constrained Least Square Laguerre Filter Design. - Amin Zollanvari; Mohammad Ali Masnadi-Shirazi (ICASSP (3), 2006)

Complex digital Laguerre filter design with weighted least square error subject to magnitude and phase constraints. - Mohammad Ali Masnadi-Shirazi; Amin Zollanvari (Signal Process., 2008)

Sample size calculation from specified RMS of the resubstitution error for linear classifiers. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (GENSiPS, 2009)

A class of comprehensive constraints for the PCWLSE filter design: A boost in performance. - Amin Zollanvari; Mohammad Ali Masnadi-Shirazi (ICASSP, 2009)

Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes. - Amin Zollanvari; Mary Jane Cunningham; Ulisses M. Braga-Neto; Edward R. Dougherty (BMC Bioinform., 2009)

On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (Pattern Recognit., 2009)

RMS bounds and sample size considerations for error estimation in linear discriminant analysis. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (GENSiPS, 2010)

A class of comprehensive constraints for design of PCWLSE Laguerre and FIR filters: A boost in performance. - Amin Zollanvari; Mohammad Ali Masnadi-Shirazi (Signal Process., 2010)

Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (IEEE Trans. Inf. Theory, 2010)

Is the reduction of dimensionality to a small number of features always necessary in constructing predictive models for analysis of complex diseases or behaviours? - Amin Zollanvari; Nancy L. Saccone; Laura J. Bierut; Marco Ramoni; Gil Alterovitz (EMBC, 2011)

Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood. - Mohammad Shahrokh Esfahani; Amin Zollanvari; Byung-Jun Yoon; Edward R. Dougherty (GENSiPS, 2011)

Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (IEEE Trans. Signal Process., 2011)

Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities. - Chang F. Quo; Chanchala Kaddi; John H. Phan; Amin Zollanvari; Mingqing Xu; May D. Wang; Gil Alterovitz (Briefings Bioinform., 2012)

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. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (Pattern Recognit., 2012)

Random matrix theory in pattern classification: An application to error estimation. - Amin Zollanvari; Edward R. Dougherty (ACSSC, 2013)

Effect of mixing probabilities on the bias of cross-validation under separate sampling. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (GENSiPS, 2013)

Application of double asymptotics and random matrix theory in error estimation of regularized linear discriminant analysis. - Amin Zollanvari; Edward R. Dougherty (GlobalSIP, 2013)

Performance of linear discriminant analysis in stochastic settings. - Amin Zollanvari; Jianping Hua; Edward R. Dougherty (ICASSP, 2013)

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. - Mohammad Shahrokh Esfahani; Jason M. Knight; Amin Zollanvari; Byung-Jun Yoon; Edward R. Dougherty (Pattern Recognit., 2013)

Analytical study of performance of linear discriminant analysis in stochastic settings. - Amin Zollanvari; Jianping Hua; Edward R. Dougherty (Pattern Recognit., 2013)

Bayesian Prognostic Model for Genomic Discovery in Bipolar Disorder. - Swetha S. Bobba; Amin Zollanvari; Gil Alterovitz (BIOINFORMATICS, 2014)

Cross-validation under separate sampling: strong bias and how to correct it. - Ulisses M. Braga-Neto; Amin Zollanvari; Edward R. Dougherty (Bioinform., 2014)

Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model. - Amin Zollanvari; Edward R. Dougherty (Pattern Recognit., 2014)

Generalized Consistent Error Estimator of Linear Discriminant Analysis. - Amin Zollanvari; Edward R. Dougherty (IEEE Trans. Signal Process., 2015)

An efficient method to estimate the optimum regularization parameter in RLDA. - Daniyar Bakirov; Alex Pappachen James; Amin Zollanvari (Bioinform., 2016)

Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations. - Amin Zollanvari; Edward R. Dougherty (EURASIP J. Bioinform. Syst. Biol., 2016)

Adaptive face space models with dynamic neural priors and sparse coding. - Samira Reihanian; Amin Zollanvari; Alex Pappachen James (ICECS, 2017)

Predicting Students' GPA and Developing Intervention Strategies Based on Self-Regulatory Learning Behaviors. - Amin Zollanvari; Refik Çaglar Kizilirmak; Yau Hee Kho; Daniel Hernandez-Torrano (IEEE Access, 2017)

Interpretive time-frequency analysis of genomic sequences. - Hamed Hassani-Saadi; Reza Sameni; Amin Zollanvari (BMC Bioinform., 2017)

SNP by SNP by environment interaction network of alcoholism. - Amin Zollanvari; Gil Alterovitz (BMC Syst. Biol., 2017)

Nonoptimality of the Maximum-Weight Dependence Tree in Classification. - Amin Zollanvari (IEEE Signal Process. Lett., 2017)

Predictive Meta-analysis of Multiple Microarray Datasets: An Application to Classification of Malignant Gliomas. - Nurislam Tursynbek; Ghazal Ghahramany; Sheida Nabavi; Amin Zollanvari (BIBM, 2018)

Transformer Fault Condition Prognosis Using Vibration Signals Over Cloud Environment. - Mehdi Bagheri; Amin Zollanvari; Svyatoslav Nezhivenko (IEEE Access, 2018)

Edge-Aware Spatial Denoising Filtering Based on a Psychological Model of Stimulus Similarity. - Joshin John Mathew; Amin Zollanvari; Alex Pappachen James (IEEE Access, 2018)

Novel Spatiospectral Features of ERPs Enhances Brain-Computer Interfaces. - Berdakh Abibullaev; Yerzhan Orazayev; Amin Zollanvari (BCI, 2019)

Design and Optimization of a BCI-Driven Telepresence Robot Through Programming by Demonstration. - Berdakh Abibullaev; Amin Zollanvari; Batyrkhan Saduanov; Tohid Alizadeh (IEEE Access, 2019)

Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification. - Amin Zollanvari; Muratkhan Abdirash; Aresh Dadlani; Berdakh Abibullaev (IEEE Signal Process. Lett., 2019)

Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces. - Berdakh Abibullaev; Amin Zollanvari (IEEE J. Biomed. Health Informatics, 2019)

Optimal Bayesian Classification With Vector Autoregressive Data Dependency. - Amin Zollanvari; Edward R. Dougherty (IEEE Trans. Signal Process., 2019)

A Brute-Force CNN Model Selection for Accurate Classification of Sensorimotor Rhythms in BCIs. - Berdakh Abibullaev; Irina Dolzhikova; Amin Zollanvari (IEEE Access, 2020)

A Theoretical Analysis of the Peaking Phenomenon in Classification. - Amin Zollanvari; Alex Pappachen James; Reza Sameni (J. Classif., 2020)

Deep Transfer Learning for Subject-Independent ERP-based BCIs. - Kassymzhomart Kunanbayev; Dias Azhigulov; Berdakh Abibullaev; Amin Zollanvari (BCI, 2021)

Data Augmentation for P300-based Brain-Computer Interfaces Using Generative Adversarial Networks. - Kassymzhomart Kunanbayev; Berdakh Abibullaev; Amin Zollanvari (BCI, 2021)

An Ensemble CNN for Subject-Independent Classification of Motor Imagery-based EEG. - Irina Dolzhikova; Berdakh Abibullaev; Reza Sameni; Amin Zollanvari (EMBC, 2021)

Is Riemannian Geometry Better than Euclidean in Averaging Covariance Matrices for CSP-based Subject-Independent Classification of Motor Imagery? - Yassawe Kainolda; Berdakh Abibullaev; Reza Sameni; Amin Zollanvari (EMBC, 2021)

Complex Encoding. - Kassymzhomart Kunanbayev; Islambek Temirbek; Amin Zollanvari (IJCNN, 2021)

Bias correction for linear discriminant analysis. - Amin Zollanvari; Berdakh Abibullaev (Pattern Recognit. Lett., 2021)

A New Diagnostic Technique for Reliable Decision-Making on Transformer FRA Data in Interturn Short-Circuit Condition. - Yerbol Akhmetov; Venera Nurmanova; Mehdi Bagheri; Amin Zollanvari; Gevork B. Gharehpetian (IEEE Trans. Ind. Informatics, 2021)

Transformer Fault Prognosis Using Deep Recurrent Neural Network Over Vibration Signals. - Amin Zollanvari; Kassymzhomart Kunanbayev; Saeid Akhavan Bitaghsir; Mehdi Bagheri (IEEE Trans. Instrum. Meas., 2021)

Event-Related Potentials (P300, EEG) - BCI dataset. - Berdakh Abibullaev; Amin Zollanvari (IEEE DataPort, 2021)

An Ensemble of Convolutional Neural Networks for Zero-Calibration ERP-Based BCIs. - Irina Dolzhikova; Berdakh Abibullaev; Amin Zollanvari (BCI, 2022)

Optimal Bayesian Regression for Serially Dependent Training Observations. - Samira Reihanian; Amin Zollanvari (EUSIPCO, 2022)

Subject-Independent Classification of Motor Imagery Tasks in EEG Using Multisubject Ensemble CNN. - Irina Dolzhikova; Berdakh Abibullaev; Reza Sameni; Amin Zollanvari (IEEE Access, 2022)

Subject-Independent Classification of P300 Event-Related Potentials Using a Small Number of Training Subjects. - Berdakh Abibullaev; Kassymzhomart Kunanbayev; Amin Zollanvari (IEEE Trans. Hum. Mach. Syst., 2022)

A Bootstrapping Solution for Effective Interpretation of Transformer Winding Frequency Response. - Yerbol Akhmetov; Venera Nurmanova; Mehdi Bagheri; Amin Zollanvari; Gevork B. Gharehpetian (IEEE Trans. Instrum. Meas., 2022)

A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces. - Berdakh Abibullaev; Amin Zollanvari (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Machine Learning with Python - Theory and Implementation - Amin Zollanvari (Springer, 2023)

Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications. - Berdakh Abibullaev; Aigerim Keutayeva; Amin Zollanvari (IEEE Access, 2023)

On the Effect of Log-Mel Spectrogram Parameter Tuning for Deep Learning-Based Speech Emotion Recognition. - Azamat Mukhamediya; Siamac Fazli; Amin Zollanvari (IEEE Access, 2023)

Stacked Ensemble Deep Learning for Outdoor Insulator Surface Condition Classification: A Profound Study on Water Droplets. - Arailym Serikbay; Mehdi Bagheri; Amin Zollanvari (IEEE Access, 2023)

A Jackknife-Inspired Deep Learning Approach to Subject-Independent Classification of EEG. - Irina Dolzhikova; Berdakh Abibullaev; Amin Zollanvari (Pattern Recognit. Lett., 2023)

SRPM-ST: Sequential retraining and pseudo-labeling in mini-batches for self-training. - Azamat Mukhamediya; Amin Zollanvari (Neurocomputing, 2024)

Optimal Bayesian Regression With Vector Autoregressive Data Dependency. - Samira Reihanian; Edward R. Dougherty; Amin Zollanvari (IEEE Trans. Signal Process., 2024)

Efficient active learning using recursive estimation of error reduction. - Azamat Mukhamediya; Reza Sameni; Amin Zollanvari (Neurocomputing, 2025)

AdaBoost.SDM: Similarity and dissimilarity-based manifold regularized adaptive boosting algorithm. - Azamat Mukhamediya; Amin Zollanvari (Pattern Recognit. Lett., 2025)