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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Interpretive Time-Frequency Analysis of Genomic Sequences. - Hassani-Saadi, Hamed; Sameni, Reza; Zollanvari, Amin (2016)

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

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

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

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

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

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

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

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

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

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

Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities. - Quo, Chang F.; Kaddi, Chanchala; Phan, John H.; Zollanvari, Amin; Xu, Mingqing; Wang, May D.; Alterovitz, Gil (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. - Zollanvari, Amin; Braga-Neto, Ulisses M.; Dougherty, Edward R. (Pattern Recognit., 2012)

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

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

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

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

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

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

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

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

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

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

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

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

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