Amin Zollanvari

67 papers B 1Misc 3Journal 43Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AdaBoost.SDM: Similarity and dissimilarity-based manifold regularized adaptive boosting algorithm. Pattern Recognit. Lett. Azamat Mukhamediya, Amin Zollanvari
2025	J	`jnl`	Efficient active learning using recursive estimation of error reduction. Neurocomputing Azamat Mukhamediya, Reza Sameni, Amin Zollanvari
2025	J	`jnl`	Optimal Bayesian regression with a non-informative prior: Order-recursive and incremental learning. Neurocomputing Samira Reihanian, Amin Zollanvari, Siamac Fazli
2024	J	`jnl`	Optimal Bayesian Regression With Vector Autoregressive Data Dependency. IEEE Trans. Signal Process. Samira Reihanian, Edward R. Dougherty, Amin Zollanvari
2024	J	`jnl`	SRPM-ST: Sequential retraining and pseudo-labeling in mini-batches for self-training. Neurocomputing Azamat Mukhamediya, Amin Zollanvari
2023	J	`jnl`	A Jackknife-Inspired Deep Learning Approach to Subject-Independent Classification of EEG. Pattern Recognit. Lett. Irina Dolzhikova, Berdakh Abibullaev, Amin Zollanvari
2023	J	`jnl`	Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications. IEEE Access Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari
2023	—	`book`	Machine Learning with Python - Theory and Implementation Amin Zollanvari
2023	J	`jnl`	On the Effect of Log-Mel Spectrogram Parameter Tuning for Deep Learning-Based Speech Emotion Recognition. IEEE Access Azamat Mukhamediya, Siamac Fazli, Amin Zollanvari
2023	J	`jnl`	Stacked Ensemble Deep Learning for Outdoor Insulator Surface Condition Classification: A Profound Study on Water Droplets. IEEE Access Arailym Serikbay, Mehdi Bagheri, Amin Zollanvari
2022	J	`jnl`	A Bootstrapping Solution for Effective Interpretation of Transformer Winding Frequency Response. IEEE Trans. Instrum. Meas. Yerbol Akhmetov, Venera Nurmanova, Mehdi Bagheri, Amin Zollanvari, Gevork B. Gharehpetian
2022	J	`jnl`	A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces. IEEE Trans. Syst. Man Cybern. Syst. Berdakh Abibullaev, Amin Zollanvari
2022	—	`conf`	An Ensemble of Convolutional Neural Networks for Zero-Calibration ERP-Based BCIs. BCI Irina Dolzhikova, Berdakh Abibullaev, Amin Zollanvari
2022	—	`conf`	Optimal Bayesian Regression for Serially Dependent Training Observations. EUSIPCO Samira Reihanian, Amin Zollanvari
2022	J	`jnl`	Subject-Independent Classification of Motor Imagery Tasks in EEG Using Multisubject Ensemble CNN. IEEE Access Irina Dolzhikova, Berdakh Abibullaev, Reza Sameni, Amin Zollanvari
2022	J	`jnl`	Subject-Independent Classification of P300 Event-Related Potentials Using a Small Number of Training Subjects. IEEE Trans. Hum. Mach. Syst. Berdakh Abibullaev, Kassymzhomart Kunanbayev, Amin Zollanvari
2021	J	`jnl`	A New Diagnostic Technique for Reliable Decision-Making on Transformer FRA Data in Interturn Short-Circuit Condition. IEEE Trans. Ind. Informatics Yerbol Akhmetov, Venera Nurmanova, Mehdi Bagheri, Amin Zollanvari, Gevork B. Gharehpetian
2021	—	`conf`	An Ensemble CNN for Subject-Independent Classification of Motor Imagery-based EEG. EMBC Irina Dolzhikova, Berdakh Abibullaev, Reza Sameni, Amin Zollanvari
2021	J	`jnl`	Bias correction for linear discriminant analysis. Pattern Recognit. Lett. Amin Zollanvari, Berdakh Abibullaev
2021	B	`conf`	Complex Encoding. IJCNN Kassymzhomart Kunanbayev, Islambek Temirbek, Amin Zollanvari
2021	—	`conf`	Data Augmentation for P300-based Brain-Computer Interfaces Using Generative Adversarial Networks. BCI Kassymzhomart Kunanbayev, Berdakh Abibullaev, Amin Zollanvari
2021	—	`conf`	Deep Transfer Learning for Subject-Independent ERP-based BCIs. BCI Kassymzhomart Kunanbayev, Dias Azhigulov, Berdakh Abibullaev, Amin Zollanvari
2021	—	`conf`	Is Riemannian Geometry Better than Euclidean in Averaging Covariance Matrices for CSP-based Subject-Independent Classification of Motor Imagery? EMBC Yassawe Kainolda, Berdakh Abibullaev, Reza Sameni, Amin Zollanvari
2021	J	`jnl`	Transformer Fault Prognosis Using Deep Recurrent Neural Network Over Vibration Signals. IEEE Trans. Instrum. Meas. Amin Zollanvari, Kassymzhomart Kunanbayev, Saeid Akhavan Bitaghsir, Mehdi Bagheri
2020	J	`jnl`	A Brute-Force CNN Model Selection for Accurate Classification of Sensorimotor Rhythms in BCIs. IEEE Access Berdakh Abibullaev, Irina Dolzhikova, Amin Zollanvari
2020	J	`jnl`	A Theoretical Analysis of the Peaking Phenomenon in Classification. J. Classif. Amin Zollanvari, Alex Pappachen James, Reza Sameni
2019	J	`jnl`	Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification. IEEE Signal Process. Lett. Amin Zollanvari, Muratkhan Abdirash, Aresh Dadlani, Berdakh Abibullaev
2019	J	`jnl`	Design and Optimization of a BCI-Driven Telepresence Robot Through Programming by Demonstration. IEEE Access Berdakh Abibullaev, Amin Zollanvari, Batyrkhan Saduanov, Tohid Alizadeh
2019	J	`jnl`	Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces. IEEE J. Biomed. Health Informatics Berdakh Abibullaev, Amin Zollanvari
2019	—	`conf`	Novel Spatiospectral Features of ERPs Enhances Brain-Computer Interfaces. BCI Berdakh Abibullaev, Yerzhan Orazayev, Amin Zollanvari
2019	J	`jnl`	Optimal Bayesian Classification With Vector Autoregressive Data Dependency. IEEE Trans. Signal Process. Amin Zollanvari, Edward R. Dougherty
2018	J	`jnl`	Edge-Aware Spatial Denoising Filtering Based on a Psychological Model of Stimulus Similarity. IEEE Access Joshin John Mathew, Amin Zollanvari, Alex Pappachen James
2018	—	`conf`	Predictive Meta-analysis of Multiple Microarray Datasets: An Application to Classification of Malignant Gliomas. BIBM Nurislam Tursynbek, Ghazal Ghahramany, Sheida Nabavi, Amin Zollanvari
2018	J	`jnl`	Transformer Fault Condition Prognosis Using Vibration Signals Over Cloud Environment. IEEE Access Mehdi Bagheri, Amin Zollanvari, Svyatoslav Nezhivenko
2017	—	`conf`	Adaptive face space models with dynamic neural priors and sparse coding. ICECS Samira Reihanian, Amin Zollanvari, Alex Pappachen James
2017	J	`jnl`	Interpretive time-frequency analysis of genomic sequences. BMC Bioinform. Hamed Hassani-Saadi, Reza Sameni, Amin Zollanvari
2017	J	`jnl`	Nonoptimality of the Maximum-Weight Dependence Tree in Classification. IEEE Signal Process. Lett. Amin Zollanvari
2017	J	`jnl`	Predicting Students' GPA and Developing Intervention Strategies Based on Self-Regulatory Learning Behaviors. IEEE Access Amin Zollanvari, Refik Çaglar Kizilirmak, Yau Hee Kho, Daniel Hernandez-Torrano
2017	J	`jnl`	SNP by SNP by environment interaction network of alcoholism. BMC Syst. Biol. Amin Zollanvari, Gil Alterovitz
2016	J	`jnl`	An efficient method to estimate the optimum regularization parameter in RLDA. Bioinform. Daniyar Bakirov, Alex Pappachen James, Amin Zollanvari
2016	J	`jnl`	Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations. EURASIP J. Bioinform. Syst. Biol. Amin Zollanvari, Edward R. Dougherty
2016	—	`conf`	Interpretive Time-Frequency Analysis of Genomic Sequences. BCB Hamed Hassani-Saadi, Reza Sameni, Amin Zollanvari
2015	J	`jnl`	Generalized Consistent Error Estimator of Linear Discriminant Analysis. IEEE Trans. Signal Process. Amin Zollanvari, Edward R. Dougherty
2014	—	`conf`	Bayesian Prognostic Model for Genomic Discovery in Bipolar Disorder. BIOINFORMATICS Swetha S. Bobba, Amin Zollanvari, Gil Alterovitz
2014	J	`jnl`	Cross-validation under separate sampling: strong bias and how to correct it. Bioinform. Ulisses M. Braga-Neto, Amin Zollanvari, Edward R. Dougherty
2014	J	`jnl`	Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model. Pattern Recognit. Amin Zollanvari, Edward R. Dougherty
2013	J	`jnl`	Analytical study of performance of linear discriminant analysis in stochastic settings. Pattern Recognit. Amin Zollanvari, Jianping Hua, Edward R. Dougherty
2013	—	`conf`	Application of double asymptotics and random matrix theory in error estimation of regularized linear discriminant analysis. GlobalSIP Amin Zollanvari, Edward R. Dougherty
2013	J	`jnl`	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. Mohammad Shahrokh Esfahani, Jason M. Knight, Amin Zollanvari, Byung-Jun Yoon, Edward R. Dougherty
2013	—	`conf`	Effect of mixing probabilities on the bias of cross-validation under separate sampling. GENSiPS Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty
2013	Misc	`conf`	Performance of linear discriminant analysis in stochastic settings. ICASSP Amin Zollanvari, Jianping Hua, Edward R. Dougherty
2013	Misc	`conf`	Random matrix theory in pattern classification: An application to error estimation. ACSSC Amin Zollanvari, Edward R. Dougherty
2012	J	`jnl`	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. Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty
2012	J	`jnl`	Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities. Briefings Bioinform. Chang F. Quo, Chanchala Kaddi, John H. Phan, Amin Zollanvari, Mingqing Xu, May D. Wang, Gil Alterovitz
2011	J	`jnl`	Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis. IEEE Trans. Signal Process. Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty
2011	—	`conf`	Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood. GENSiPS Mohammad Shahrokh Esfahani, Amin Zollanvari, Byung-Jun Yoon, Edward R. Dougherty
2011	—	`conf`	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 Amin Zollanvari, Nancy L. Saccone, Laura J. Bierut, Marco Ramoni, Gil Alterovitz
2010	J	`jnl`	A class of comprehensive constraints for design of PCWLSE Laguerre and FIR filters: A boost in performance. Signal Process. Amin Zollanvari, Mohammad Ali Masnadi-Shirazi
2010	J	`jnl`	Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis. IEEE Trans. Inf. Theory Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty
2010	—	`conf`	RMS bounds and sample size considerations for error estimation in linear discriminant analysis. GENSiPS Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty
2009	Misc	`conf`	A class of comprehensive constraints for the PCWLSE filter design: A boost in performance. ICASSP Amin Zollanvari, Mohammad Ali Masnadi-Shirazi
2009	J	`jnl`	Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes. BMC Bioinform. Amin Zollanvari, Mary Jane Cunningham, Ulisses M. Braga-Neto, Edward R. Dougherty
2009	J	`jnl`	On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers. Pattern Recognit. Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty
2009	—	`conf`	Sample size calculation from specified RMS of the resubstitution error for linear classifiers. GENSiPS Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty
2008	J	`jnl`	Complex digital Laguerre filter design with weighted least square error subject to magnitude and phase constraints. Signal Process. Mohammad Ali Masnadi-Shirazi, Amin Zollanvari
2006	—	`conf`	An Extended Dual Parameterization Method to Constrained Least Square Laguerre Filter Design. ICASSP (3) Amin Zollanvari, Mohammad Ali Masnadi-Shirazi
2006	—	`conf`	An Extended ε-Perturbation Method to the Problem of Semi-Infinite Quadratic Programming in Constrained FIR Filter Design. ICASSP (3) Mohammad Ali Masnadi-Shirazi, Amin Zollanvari