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• 2020

  A New Transformer FRA Test Setup for Advanced Interpretation and Winding Short-circuit Prediction

  Nurmanova, V., Akhmetov, Y., Bagheri, M., Zollanvari, A., Gharehpetian, G. B. & Phung, T., Jun 2020, Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020. Leonowicz, Z. (ed.). Institute of Electrical and Electronics Engineers Inc., 9160545. (Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Transformer
  • Frequency Response
  • Short circuit currents
  • Frequency response
  • Prediction
• 2019

  A New Transformer FRA Measurement Technique to Reach Smart Interpretation for Inter-Disk Faults

  Nurmanova, V., Bagheri, M., Zollanvari, A., Aliakhmet, K., Akhmetov, Y. & Gharehpetian, G. B., Aug 1 2019, In: IEEE Transactions on Power Delivery. 34, 4, p. 1508-1519 12 p., 8682123.

  Research output: Contribution to journal › Article › peer-review

  • Frequency response
  • Transformer windings
  • Power transformers
  • Hazards
  • Numerical analysis
  9 Citations (Scopus)

• Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification

  Zollanvari, A., Abdirash, M., Dadlani, A. & Abibullaev, B., 2019, In: IEEE Signal Processing Letters. 26, 9, p. 1300-1304

  Research output: Contribution to journal › Article › peer-review

  • Binary Classification
  • Discriminant Analysis
  • Discriminant analysis
  • Costs
  • Misclassification

• Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification

  Zollanvari, A., Abdirash, M., Dadlani, A. & Abibullaev, B., Sep 1 2019, In: IEEE Signal Processing Letters. 26, 9, p. 1300-1304 5 p., 8720003.

  Research output: Contribution to journal › Article › peer-review

  • Binary Classification
  • Discriminant Analysis
  • Discriminant analysis
  • Costs
  • Misclassification

• A Theoretical Analysis of the Peaking Phenomenon in Classification

  Zollanvari, A., James, A. P. & Sameni, R., Jan 1 2019, In: Journal of Classification.

  Research output: Contribution to journal › Article › peer-review

  • Classifier
  • Discriminant Analysis
  • Theoretical Analysis
  • Sample Size
  • Observation

• A Theoretical Analysis of the Peaking Phenomenon in Classification

  Zollanvari, A., James, A. P. & Sameni, R., Jan 1 2019, In: Journal of Classification.

  Research output: Contribution to journal › Article › peer-review

  • Classifier
  • Discriminant Analysis
  • Theoretical Analysis
  • Sample Size
  • Observation

• Design and Optimization of a BCI-Driven Telepresence Robot Through Programming by Demonstration

  Abibullaev, B., Zollanvari, A., Saduanov, B. & Alizadeh, T., Aug 5 2019, In: IEEE Access. 7, p. 111625 111636 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Brain computer interface
  • Demonstrations
  • Robots
  • Decoding
  • Brain

• IoT Application in Transformer Fault Prognosis Using Vibration Signal

  Bagheri, M., Nurmanova, V., Zollanvari, A., Nezhivenko, S. & Phung, B. T., Feb 13 2019, ICHVE 2018 - 2018 IEEE International Conference on High Voltage Engineering and Application. Institute of Electrical and Electronics Engineers Inc., 8641873. (ICHVE 2018 - 2018 IEEE International Conference on High Voltage Engineering and Application).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Internet of things
  • Transformer windings
  • Data transfer
  • Short circuit currents
  • Cloud computing

• Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces

  Abibullaev, B. & Zollanvari, A., Sep 2019, In: IEEE Journal of Biomedical and Health Informatics. 23, 5, p. 2009-2020 12 p., 8613780.

  Research output: Contribution to journal › Article › peer-review

  • Brain-Computer Interfaces
  • Brain computer interface
  • Evoked Potentials
  • Learning
  • Machine Learning
  3 Citations (Scopus)

• Novel Spatiospectral Features of ERPs Enhances Brain-Computer Interfaces

  Orazayev, Y., Zollanvari, A. & Abibullaev, B., Feb 2019, 7th International Winter Conference on Brain-Computer Interface, BCI 2019. Institute of Electrical and Electronics Engineers Inc., 8737344. (7th International Winter Conference on Brain-Computer Interface, BCI 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain-Computer Interfaces
  • Brain computer interface
  • Evoked Potentials
  • Logistics
  • Classifiers
  1 Citation (Scopus)

• Optimal Bayesian Classification With Vector Autoregressive Data Dependency

  Zollanvari, A. & Dougherty, E. R., Jun 15 2019, In: IEEE Transactions on Signal Processing. 67, 12, p. 3073-3086 14 p., 8693865.

  Research output: Contribution to journal › Article › peer-review

  • Classifiers
  • Uncertainty
  • White noise
  • Random variables
  • Covariance matrix
  2 Citations (Scopus)

• Predictive Meta-analysis of Multiple Microarray Datasets: An Application to Classification of Malignant Gliomas

  Tursynbek, N., Ghahramany, G., Nabavi, S. & Zollanvari, A., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 2423-2428 6 p. 8621503. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Microarrays
  • Glioma
  • Genes
  • Datasets
  • Meta-Analysis
• 2018

  Adaptive face space models with dynamic neural priors and sparse coding

  Reihanian, S., Zollanvari, A. & James, A. P., Feb 14 2018, ICECS 2017 - 24th IEEE International Conference on Electronics, Circuits and Systems. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 389-392 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Dynamic models
  • Neurons
  • Mathematical models

• A new vibration analysis approach for transformer fault prognosis over cloud environment

  Bagheri, M., Nezhivenko, S., Naderi, M. S. & Zollanvari, A., Sep 1 2018, In: International Journal of Electrical Power and Energy Systems. 100, p. 104-116 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Vibration analysis
  • Internet of things
  • Short circuit currents
  • Monitoring
  • Economics
  12 Citations (Scopus)

• Optimal Bayesian Classification When the Training Observations are Serially Dependent

  Zollanvari, A. & Dougherty, E. R., Nov 16 2018, 2018 New York Scientific Data Summit, NYSDS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8538943. (2018 New York Scientific Data Summit, NYSDS 2018 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Bayesian Classification
  • Training
  • Bayesian Classifier
  • Vector Autoregressive Process
  • Classifiers

• Transformer Fault Condition Prognosis Using Vibration Signals over Cloud Environment

  Bagheri, M., Zollanvari, A. & Nezhivenko, S., Feb 23 2018, (Accepted/In press) In: IEEE Access. 6, p. 9862-9874 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Short circuit currents
  • Industry 4.0
  • Monitoring
  • Electric network analysis
  • Deterioration
  25 Citations (Scopus)
• 2017

  Edge-Aware Spatial Denoising Filtering Based on a Psychological Model of Stimulus Similarity

  Mathew, J., Zollanvari, A. & James, A. P., Aug 27 2017, (Accepted/In press) In: IEEE Access. 6, p. 3433-3447 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Mean square error
  • Signal to noise ratio
  • Functional analysis
  • Noise abatement
  • Image quality
  1 Citation (Scopus)

• Interpretive time-frequency analysis of genomic sequences

  Hassani Saadi, H., Sameni, R. & Zollanvari, A., Mar 22 2017, In: BMC Bioinformatics. 18, 154.

  Research output: Contribution to journal › Article › peer-review

  • Time-frequency Analysis
  • Genomics
  • Sequence Analysis
  • Signal processing
  • Signal Processing
  3 Citations (Scopus)

• Nonoptimality of the maximum-weight dependence tree in classification

  Zollanvari, A., Jan 1 2017, In: IEEE Signal Processing Letters. 24, 1, p. 71-75 5 p., 7782428.

  Research output: Contribution to journal › Article › peer-review

  • Dependence Structure
  • First-order
  • Branch
  • Cross-entropy
  • Entropy

• Predicting Students' GPA and Developing Intervention Strategies Based on Self-Regulatory Learning Behaviors

  Zollanvari, A., Kizilirmak, R. C., Kho, Y. H. & Hernandez-Torrano, D., Aug 25 2017, In: IEEE Access. 5, p. 23792-23802 11 p., 8016571.

  Research output: Contribution to journal › Article › peer-review

  • Students
  • Experiments
  • Education
  • Machine learning
  17 Citations (Scopus)

• SNP by SNP by environment interaction network of alcoholism

  Zollanvari, A. & Alterovitz, G., Mar 14 2017, In: BMC Systems Biology. 11, 19.

  Research output: Contribution to journal › Article › peer-review

  • Alcoholism
  • Genes
  • Single Nucleotide Polymorphism
  • Multifactorial Inheritance
  • Interaction
  6 Citations (Scopus)
• 2016

  An Efficient Method to Estimate the Optimum Regularization Parameter in RLDA

  Bakir, D., James Pappachen, A. & Zollanvari, A., 2016, In: Bioinformatics. 7 p.

  Research output: Contribution to journal › Article › peer-review

  • Discriminant Analysis
  • Regularization Parameter
  • Discriminant analysis
  • Covariance matrix
  • Sample Size
  5 Citations (Scopus)

• High-dimensional statistical learning: Roots, justifications, and potential machineries

  Zollanvari, A., Apr 12 2016, In: Cancer Informatics. 15, p. 109-121 13 p.

  Research output: Contribution to journal › Review article › peer-review

  • Learning
  • Sample Size
  • Datasets
  • Software
  3 Citations (Scopus)

• Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations

  Zollanvari, A. & Dougherty, E. R., 2016, In: Eurasip Journal on Bioinformatics and Systems Biology. 2016:2, 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Prior Knowledge
  • Bayesian Classifier
  • Uncertainty
  • Differential equations
  • Labels
  1 Citation (Scopus)
• 2015

  Generalized consistent error estimator of linear discriminant analysis

  Zollanvari, A. & Dougherty, E. R., Jun 1 2015, In: IEEE Transactions on Signal Processing. 63, 11, p. 2804-2814 11 p., 7078850.

  Research output: Contribution to journal › Article › peer-review

  • Discriminant analysis
  • Classifiers
  • Covariance matrix
  • Mean square error
  19 Citations (Scopus)
• 2014

  Bayesian prognostic model for genomic discovery in bipolar disorder

  Bobba, S. S., Zollanvari, A. & Alterovitz, G., Feb 10 2014, 2014 IEEE Healthcare Innovation Conference, HIC 2014. Institute of Electrical and Electronics Engineers Inc., p. 247-250 4 p. 7038921. (2014 IEEE Healthcare Innovation Conference, HIC 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Disease Attributes
  • Bipolar Disorder
  • Bayes Theorem
  • Phenotype
  • Gene Expression
  1 Citation (Scopus)

• Bayesian prognostic model for genomic discovery in bipolar disorder

  Bobba, S. S., Zollanvari, A. & Alterovitz, G., Jan 1 2014, BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014. SciTePress, p. 91-98 8 p. (BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Genomics
  • Disorder
  • Attribute
  • Experiment
  • Model

• Cross-validation under separate sampling: Strong bias and how to correct it

  Braga-Neto, U. M., Zollanvari, A. & Dougherty, E. R., 2014, In: Bioinformatics. 30, 23, p. 3349-3355 7 p.

  Research output: Contribution to journal › Article › peer-review

  • Selection Bias
  • Cross-validation
  • Sampling
  • Computational Biology
  • Random Sampling
  19 Citations (Scopus)

• Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model

  Zollanvari, A. & Dougherty, E. R., Jun 2014, In: Pattern Recognition. 47, 6, p. 2178-2192 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Mean square error
  • Error analysis
  • Discriminant analysis
  • Classifiers
  • Labels
  23 Citations (Scopus)

• Prevalence of halitosis in children considering oral hygiene, gender and age

  Villa, A., Zollanvari, A., Alterovitz, G., Cagetti, M., Strohmenger, L. & Abati, S., Aug 2014, In: International Journal of Dental Hygiene. 12, 3, p. 208-212 5 p.

  Research output: Contribution to journal › Article › peer-review

  • Halitosis
  • Oral Hygiene
  • Child
  • Sulfur Compounds
  • Tooth
  26 Citations (Scopus)
• 2013

  Analytical study of performance of linear discriminant analysis in stochastic settings

  Zollanvari, A., Hua, J. & Dougherty, E. R., Nov 2013, In: Pattern Recognition. 46, 11, p. 3017-3029 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Discriminant analysis
  • Classifiers
  7 Citations (Scopus)

• Application of double asymptotics and random matrix theory in error estimation of regularized linear discriminant analysis

  Zollanvari, A. & Dougherty, E. R., Dec 1 2013, 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings. p. 57-59 3 p. 6736811. (2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Discriminant analysis
  • Error analysis
  • Covariance matrix
  • Mean square error
  1 Citation (Scopus)

• 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

  Shahrokh Esfahani, M., Knight, J., Zollanvari, A., Yoon, B. J. & Dougherty, E. R., Oct 2013, In: Pattern Recognition. 46, 10, p. 2783-2797 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Maximum likelihood
  • Classifiers
  • Uncertainty
  • Contamination
  • Genes
  8 Citations (Scopus)

• Effect of mixing probabilities on the bias of cross-validation under separate sampling

  Zollanvari, A., Braga-Neto, U. M. & Dougherty, E. R., Dec 1 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2013 - Proceedings. p. 98-99 2 p. 6735947. (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sampling
  • Sample Size
  • Classifiers
  • Experiments

• On Kolmogorov asymptotics of estimators of the misclassification error rate in linear discriminant analysis

  Zollanvari, A. & Genton, M. G., Aug 21 2013, In: Sankhya: The Indian Journal of Statistics. 75 A, PART2, p. 300-326 27 p.

  Research output: Contribution to journal › Article › peer-review

  • Misclassification Error
  • Discriminant Analysis
  • Error Rate
  • Estimator
  • Moment
  1 Citation (Scopus)

• On Kolmogorov asymptotics of estimators of the misclassification error rate in linear discriminant analysis

  Zollanvari, A. & Genton, M. G., Aug 1 2013, In: Sankhya A. 75, 2, p. 300-326 27 p.

  Research output: Contribution to journal › Article › peer-review

  • Misclassification Error
  • Discriminant Analysis
  • Error Rate
  • Estimator
  • Moment

• Performance of linear discriminant analysis in stochastic settings

  Zollanvari, A., Hua, J. & Dougherty, E. R., Oct 18 2013, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. p. 3437-3441 5 p. 6638296. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Discriminant analysis

• Random matrix theory in pattern classification: An application to error estimation

  Zollanvari, A. & Dougherty, E. R., 2013, Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers. IEEE Computer Society, p. 884-887 4 p. 6810415. (Conference Record - Asilomar Conference on Signals, Systems and Computers).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Error analysis
  • Pattern recognition
  • Discriminant analysis
  • Covariance matrix
  • Mean square error
  7 Citations (Scopus)

• Temporal phenome analysis of a large electronic health record cohort enables identification of hospital-acquired complications

  Warner, J. L., Zollanvari, A., Ding, Q., Zhang, P., Snyder, G. M. & Alterovitz, G., 2013, In: Journal of the American Medical Informatics Association. 20, E2, p. e281-e287

  Research output: Contribution to journal › Article › peer-review

  • Clostridium difficile
  • Electronic Health Records
  • Length of Stay
  • International Classification of Diseases
  • Phenotype
  19 Citations (Scopus)
• 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, A., Braga-Neto, U. & Dougherty, E. R., Feb 1 2012, In: Pattern Recognition. 45, 2, p. 908-917 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Discriminant analysis
  • Error analysis
  • Gaussian distribution
  • Biomarkers
  17 Citations (Scopus)

• Reverse engineering biomolecular systems using -omic data: Challenges, progress and opportunities

  Quo, C. F., Kaddi, C., Phan, J. H., Zollanvari, A., Xu, M., Wang, M. D. & Alterovitz, G., Jul 2012, In: Briefings in bioinformatics. 13, 4, p. 430-445 16 p., bbs026.

  Research output: Contribution to journal › Article › peer-review

  • Data Mining
  • Reverse engineering
  • Synthetic Biology
  • Synthetic biology
  • Data mining
  11 Citations (Scopus)
• 2011

  Analytic study of performance of error estimators for linear discriminant analysis

  Zollanvari, A., Braga-Neto, U. M. & Dougherty, E. R., Sep 1 2011, In: IEEE Transactions on Signal Processing. 59, 9, p. 4238-4255 18 p., 5872073.

  Research output: Contribution to journal › Article › peer-review

  • Discriminant analysis
  • Gene expression
  • Covariance matrix
  • Experiments
  35 Citations (Scopus)

• Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood

  Esfahani, M. S., Zollanvari, A., Yoon, B. J. & Dougherty, E. R., 2011, Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11. IEEE Computer Society, p. 91-94 4 p. 6169451. (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Stochastic Processes
  • Maximum likelihood
  • Classifiers
  • Random processes
  • Labels

• 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, A., Saccone, N. L., Bierut, L. J., Ramoni, M. F. & Alterovitz, G., 2011, In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. 2011, p. 3573-3576 4 p.

  Research output: Contribution to journal › Article › peer-review

  • Genes
  • Multifactorial Inheritance
  • Gene expression
  • Feature extraction
  • Research Personnel

• 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, A., Saccone, N. L., Bierut, L. J., Ramoni, M. F. & Alterovitz, G., 2011, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. p. 3573-3576 4 p. 6090596. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Genes
  • Multifactorial Inheritance
  • Gene expression
  • Feature extraction
  • Research Personnel
  2 Citations (Scopus)

• The illusion of distribution-free small-sample classification in genomics

  Dougherty, E. R., Zollanvari, A. & Braga-Neto, U. M., Aug 2011, In: Current Genomics. 12, 5, p. 333-341 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Illusions
  • Genomics
  • Computational Biology
  • Datasets
  • Sample Size
  40 Citations (Scopus)