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 EnergyGoogle:
"Randall Wald"Parents
Sign in to add mentorTaghi 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 |