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Journal Papers (Refereed)

  1. Varela, S., Dhodda, P. R., Hsu, W. H., Prasad, P. V. V., Assefa, Y., Peralta, N. R., Griffin, T., Sharda, A., Ferguson, A., & Ciampitti, I. A. (2018). Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques. Remote Sensing, 10, 343.
  2. Brase, G. L., Vasserman, E. Y., & Hsu, W. (2017). Do Different Mental Models Influence Cybersecurity Behavior? Evaluations via Statistical Reasoning Performance. Frontiers in Psychology, 8.
  3. Roy Chowdhury, S., Scoglio, C., & Hsu, W. H. (2011). Mitigation strategies for foot and mouth disease: a learning-based approach. International Journal of Artificial Life Research, 2(2), 42-76.
  4. Guo, H. & Hsu, W. H. (2007). A machine learning approach to algorithm selection for NP-hard optimization problems: a case study on the MPE problem. Annals of Operations Research, Special Issue on Stochastic Search Algorithms, 156(1), 61-82.
  5. Hsu, W. H. (2004). Genetic Wrappers for Feature Selection in Decision Tree Induction and Variable Ordering in Bayesian Network Structure Learning. Information Sciences, 163(1-3), 103-122.
  6. Hsu, W. H., Welge, M., Redman, T., & Clutter, D. (2002). High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application. Data Mining and Knowledge Discovery, 6(4), 361-391.
  7. Hsu, W. H., Ray, S. R., & Wilkins, D. C. (2000). A Multistrategy Approach to Classifier Learning from Time Series. Machine Learning, 38(1-2), 213-236.
  8. Ray, S. R. & Hsu, W. H. (1998). Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences. Intelligent Data Analysis, 2(4), 287-301.
  9. Hsu, W. H. & Zwarico, A. E. (1995). Automatic Synthesis of Compression Techniques for Heterogeneous Files. Software: Practice and Experience, 25(10), 1097-1116.