Amin Zollanvari
Orcid: 0000-0002-9172-8413
According to our database1,
Amin Zollanvari
authored at least 62 papers
between 2006 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
A Jackknife-Inspired Deep Learning Approach to Subject-Independent Classification of EEG.
Pattern Recognit. Lett., December, 2023
Stacked Ensemble Deep Learning for Outdoor Insulator Surface Condition Classification: A Profound Study on Water Droplets.
IEEE Access, 2023
On the Effect of Log-Mel Spectrogram Parameter Tuning for Deep Learning-Based Speech Emotion Recognition.
IEEE Access, 2023
Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications.
IEEE Access, 2023
Springer, ISBN: 978-3-031-33341-5, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
A Bootstrapping Solution for Effective Interpretation of Transformer Winding Frequency Response.
IEEE Trans. Instrum. Meas., 2022
Subject-Independent Classification of P300 Event-Related Potentials Using a Small Number of Training Subjects.
IEEE Trans. Hum. Mach. Syst., 2022
Subject-Independent Classification of Motor Imagery Tasks in EEG Using Multisubject Ensemble CNN.
IEEE Access, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022
2021
Transformer Fault Prognosis Using Deep Recurrent Neural Network Over Vibration Signals.
IEEE Trans. Instrum. Meas., 2021
A New Diagnostic Technique for Reliable Decision-Making on Transformer FRA Data in Interturn Short-Circuit Condition.
IEEE Trans. Ind. Informatics, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Is Riemannian Geometry Better than Euclidean in Averaging Covariance Matrices for CSP-based Subject-Independent Classification of Motor Imagery?
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Data Augmentation for P300-based Brain-Computer Interfaces Using Generative Adversarial Networks.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
2020
J. Classif., 2020
A Brute-Force CNN Model Selection for Accurate Classification of Sensorimotor Rhythms in BCIs.
IEEE Access, 2020
2019
IEEE Trans. Signal Process., 2019
Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces.
IEEE J. Biomed. Health Informatics, 2019
Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification.
IEEE Signal Process. Lett., 2019
Design and Optimization of a BCI-Driven Telepresence Robot Through Programming by Demonstration.
IEEE Access, 2019
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019
2018
Edge-Aware Spatial Denoising Filtering Based on a Psychological Model of Stimulus Similarity.
IEEE Access, 2018
Transformer Fault Condition Prognosis Using Vibration Signals Over Cloud Environment.
IEEE Access, 2018
Predictive Meta-analysis of Multiple Microarray Datasets: An Application to Classification of Malignant Gliomas.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
IEEE Signal Process. Lett., 2017
Predicting Students' GPA and Developing Intervention Strategies Based on Self-Regulatory Learning Behaviors.
IEEE Access, 2017
Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017
2016
Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations.
EURASIP J. Bioinform. Syst. Biol., 2016
Bioinform., 2016
2015
IEEE Trans. Signal Process., 2015
2014
Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model.
Pattern Recognit., 2014
Bioinform., 2014
Proceedings of the BIOINFORMATICS 2014, 2014
2013
Analytical study of performance of linear discriminant analysis in stochastic settings.
Pattern Recognit., 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.
Pattern Recognit., 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Application of double asymptotics and random matrix theory in error estimation of regularized linear discriminant analysis.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Effect of mixing probabilities on the bias of cross-validation under separate sampling.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
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.
Pattern Recognit., 2012
Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities.
Briefings Bioinform., 2012
2011
IEEE Trans. Signal Process., 2011
Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 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?
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis.
IEEE Trans. Inf. Theory, 2010
A class of comprehensive constraints for design of PCWLSE Laguerre and FIR filters: A boost in performance.
Signal Process., 2010
RMS bounds and sample size considerations for error estimation in linear discriminant analysis.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
2009
On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers.
Pattern Recognit., 2009
Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes.
BMC Bioinform., 2009
A class of comprehensive constraints for the PCWLSE filter design: A boost in performance.
Proceedings of the IEEE International Conference on Acoustics, 2009
Sample size calculation from specified RMS of the resubstitution error for linear classifiers.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
2008
Complex digital Laguerre filter design with weighted least square error subject to magnitude and phase constraints.
Signal Process., 2008
2006
An Extended Dual Parameterization Method to Constrained Least Square Laguerre Filter Design.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
An Extended ε-Perturbation Method to the Problem of Semi-Infinite Quadratic Programming in Constrained FIR Filter Design.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006