Computational Learning Approaches to Data Analytics in Biomedical Applications

Author:   Donald Wunsch (Director, Applied Computational Intelligence Laboratory, University of Missouri, USA) ,  Tayo Obafemi-Ajayi (Assistant Professor, Electrical Engineering, Missouri State University, USA) ,  Gayla Olbricht (Assistant Professor, Department of Mathematics and Statistics, Missouri University of Science and Technology, USA) ,  Khalid Al-Jabery (PhD Candidate, Research Assistant in Computer Engineering, Missouri University of Science and Technology, USA)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128144824


Pages:   220
Publication Date:   01 November 2019
Format:   Hardback
Availability:   Not yet available   Availability explained
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Computational Learning Approaches to Data Analytics in Biomedical Applications


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Author:   Donald Wunsch (Director, Applied Computational Intelligence Laboratory, University of Missouri, USA) ,  Tayo Obafemi-Ajayi (Assistant Professor, Electrical Engineering, Missouri State University, USA) ,  Gayla Olbricht (Assistant Professor, Department of Mathematics and Statistics, Missouri University of Science and Technology, USA) ,  Khalid Al-Jabery (PhD Candidate, Research Assistant in Computer Engineering, Missouri University of Science and Technology, USA)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
ISBN:  

9780128144824


ISBN 10:   0128144823
Pages:   220
Publication Date:   01 November 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Khalid Al-Jabery is currently a PhD candidate and research assistant at Missouri S&T. He obtained his BS and M.Sc. in Computer Engineering at the University of Basrah in Iraq in 2005 and 2009 respectively. He has more than 6 years of experience as an IT engineer. He worked for ExxonMobil, South Oil Company-Iraq, and International Organization of Migration (IOM). He has gained hands-on experience on applying a variety of computational tools to machine learning projects on power optimization, smart grid, and medical datasets. Dr. Obafemi-Ajayi is an Assistant Professor of Electrical Engineering at Missouri State University (MSU) in the Engineering Program, a joint program with Missouri S&T. She completed a post-doctoral fellowship with the Applied Computational Intelligence Lab at S&T May 2016, working on clustering and genomic data analysis related to Autism. She obtained her PhD in Computer Science from Illinois Institute of Technology. Her research interests are machine learning, bioinformatics, and data mining. Dr. Olbricht is an Associate Professor in the Department of Mathematics and Statistics at Missouri S&T. She earned her Ph.D. in Statistics from Purdue University. Her research interests include Markov models, regression analysis, statistical genomics, and bioinformatics. Dr. Wunsch is the Mary K. Finley Missouri Distinguished Professor, Missouri University of Science and Technology (Missouri S&T). He received his Ph.D. in Electrical Engineering from the University of Washington, Seattle. His research interests include clustering, adaptive resonance and reinforcement learning architectures (hardware and applications), bioinformatics. He is the author of nine books and over a dozen book chapters, including Neural Networks in Micromechanics from Springer and Clustering from Wiley IEEE Press.

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