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Kenneth E. Barner

Affiliations: 
Department of Electrical and Computer Engineering University of Delaware, Newark, DE, United States 
Area:
Machine and deep learning, robust and nonlinear signal and image processing, compressive sensing, image and video processing
Website:
https://www.ece.udel.edu/people/faculty/barner/
Google:
"Kenneth Eugen Barner" OR "Kenneth E. Barner"
Bio:

https://ieeexplore.ieee.org/author/37270544200
https://www.ece.udel.edu/wp-content/uploads/2022/03/Barner_CV.pdf
https://www.researchgate.net/profile/Kenneth-Barner-2
https://scholar.google.com/citations?user=-CPsGakAAAAJ&hl=en
https://www.proquest.com/openview/95194843f8904039ce7c5927747c4bf0/1

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Parents

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Gonzalo R. Arce grad student 1992 University of Delaware
 (Permutation filters: A group theoretic class of non-linear filters)

Children

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Min Shao grad student 2004 University of Delaware
Yuzhong Shen grad student 2004 University of Delaware
Yao Nie grad student 2005 University of Delaware
Yanwei Niu grad student 2005 University of Delaware
Beilei Wang grad student 2005 University of Delaware
Pei Chen grad student 2006 University of Delaware
Il-Ryeol Kim grad student 2006 University of Delaware
Tuncer C. Aysal grad student 2007 University of Delaware
Binwei Weng grad student 2007 University of Delaware
Rafael E. Carrillo grad student 2012 University of Delaware
Jinglun Gao grad student 2012 University of Delaware
Rui Hu grad student 2012 University of Delaware

Collaborators

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Publications

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Matiz S, Barner KE. (2020) Conformal prediction based active learning by linear regression optimization Neurocomputing. 388: 157-169
Matiz S, Barner KE. (2019) Inductive conformal predictor for convolutional neural networks: Applications to active learning for image classification Pattern Recognition. 90: 172-182
Mathews SM, Kambhamettu C, Barner KE. (2018) A novel application of deep learning for single-lead ECG classification. Computers in Biology and Medicine. 99: 53-62
Polania LF, Barner KE. (2017) Exploiting Restricted Boltzmann Machines and Deep Belief Networks in Compressed Sensing Ieee Transactions On Signal Processing. 65: 4538-4550
Carrillo RE, Ramirez AB, Arce GR, et al. (2016) Robust compressive sensing of sparse signals: a review Eurasip Journal On Advances in Signal Processing. 2016
Duarte C, Barner KE, Goossen K. (2016) Design of IIR Multi-Notch Filters Based on Polynomially-Represented Squared Frequency Response Ieee Transactions On Signal Processing. 64: 2613-2623
Polanía LF, Carrillo RE, Blanco-Velasco M, et al. (2015) Exploiting prior knowledge in compressed sensing wireless ECG systems. Ieee Journal of Biomedical and Health Informatics. 19: 508-19
Ramirez AB, Carrillo RE, Arce G, et al. (2015) An overview of robust compressive sensing of sparse signals in impulsive noise 2015 23rd European Signal Processing Conference, Eusipco 2015. 2859-2863
Ren C, Cao J, Fu Y, et al. (2014) Improved method for pulse sorting based on PRI transform Proceedings of Spie - the International Society For Optical Engineering. 9091
Fu Y, Feng L, Ren C, et al. (2014) A joint algorithm of hopping period estimation for frequency-hopping signals Proceedings of Spie - the International Society For Optical Engineering. 9091
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