Randall D. Wald, Ph.D.

Affiliations: 
2012 Computer and Electrical Engineering and Computer Science Florida Atlantic University, Boca Raton, FL, United States 
Area:
Computer Science, Marine and Ocean Engineering, Alternative Energy
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"Randall Wald"

Parents

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Taghi M. Khoshgoftaar grad student 2012 Florida Atlantic University
 (Vibration analysis for ocean turbine reliability models.)
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Publications

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Zuech R, Khoshgoftaar TM, Wald R. (2015) Intrusion detection and Big Heterogeneous Data: a Survey Journal of Big Data. 2
Najafabadi MM, Villanustre F, Khoshgoftaar TM, et al. (2015) Deep learning applications and challenges in big data analytics Journal of Big Data. 2
Herland M, Khoshgoftaar TM, Wald R. (2014) A review of data mining using big data in health informatics Journal of Big Data. 1: 2
Gao K, Khoshgoftaar TM, Wald R. (2014) The use of under- and oversampling within ensemble feature selection and classification for software quality prediction International Journal of Reliability, Quality and Safety Engineering. 21
Wald R, Khoshgoftaar TM, Sloan JC. (2013) Feature selection for optimization of wavelet packet decomposition in reliability analysis of systems International Journal On Artificial Intelligence Tools. 22
Khoshgoftaar TM, Gao K, Napolitano A, et al. (2013) A comparative study of iterative and non-iterative feature selection techniques for software defect prediction Information Systems Frontiers. 16: 801-822
Shanab AA, Khoshgoftaar TM, Wald R, et al. (2012) Evaluation of the importance of data pre-processing order when combining feature selection and data sampling International Journal of Business Intelligence and Data Mining. 7: 116-134
Wald R, Khoshgoftaar TM, Alhalabi B. (2012) Baseline-differencing: A novel approach for building generalizable ocean turbine reliability models International Journal of Reliability, Quality and Safety Engineering. 19
Van Hulse J, Khoshgoftaar TM, Napolitano A, et al. (2012) Threshold-based feature selection techniques for high-dimensional bioinformatics data Network Modeling Analysis in Health Informatics and Bioinformatics. 1: 47-61
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