Wiki Contents


Book Chapters (Refereed)

Topics

All Topics
Natural Language Processing
Computer Vision
Reinforcement Learning
Deep Learning
Data Mining
Probabilistic Reasoning
Genetic and Evolutionary Computation
High Performance Computing
Network Science
Machine Learning
Health Medical
Speech Recognition
After Before
  1. Probabilistic Reasoning
    Machine Learning
    Health Medical

    Lamba, D. Hsu, W. H, & Alsadhan, M. (2021). Predictive analytics and machine learning for medical informatics: A survey of tasks and techniques. In Machine Learning, Big Data, and IoT for Medical Informatics (pp. 1-35). Academic Press.

  2. Deep Learning
    Machine Learning

    Yates, H. L., Chamberlain, B., Baldwin, W., Hsu, W. H., & Vanlandingham, D. (2018). Assessing Animal Emotion and Behavior using Mobile Sensors and Affective Computing. In Mallick, S. & Borah, S., ed., Handbook of Research on Emerging Trends and Applications in Cognitive Computing, 2018.

  3. Data Mining
    Machine Learning

    Weese, J. L., Hsu, W. H., Murphy, J. C., & Knight, K. B. (2017). Parody Detection: An Annotation, Feature Construction, and Classification Approach to the Web of Parody. In Hai-Jew, S., ed., Data Analytics in Digital Humanities, p. 67-89. New York, NY, USA: Springer.

  4. Data Mining
    Probabilistic Reasoning
    Machine Learning

    Yang, M., Hsu, W. H., & Kallumadi, S. (2014). Predictive Analytics of Social Networks: A Survey of Tasks and Techniques. In Hsu, W. H., ed., Emerging Methods in Predictive Analytics: Risk Management and Decision-Making, p. 297-333. Hershey, PA, USA: IGI Global.

  5. Natural Language Processing

    Elshamy, W., & Hsu, W. H. (2014). Continuous-Time Infinite Dynamic Topic Models: The Dim Sum Process for Simultaneous Topic Enumeration and Formation. In Hsu, W. H., ed., Emerging Methods in Predictive Analytics: Risk Management and Decision-Making, p. 187-222. Hershey, PA, USA: IGI Global.

  6. Data Mining

    Hsu, W. H. (2013). Information Visualization Techniques for Big Data: Analytics using Heterogeneous Data in Spatiotemporal Domains. In Hai-Jew, S., ed., Packaging Digital Information for Enhanced Learning and Analysis: Data Visualization, Spatialization, and Multidimensionality, p. 184-197. Hershey, PA, USA: IGI Global.

  7. Data Mining

    Hsu, W. H. (2012). Creating Open Source Lecture Materials: A Guide to Trends, Technologies, and Approaches in the Information Sciences. In Hai-Jew, S., ed., Open-Source Technologies for Maximizing the Creation, Deployment, and Use of Digital Resources and Information, p. 253-280. Hershey, PA, USA: IGI Global. 10.4018/978-1-4666-2205-0.ch015

  8. Genetic and Evolutionary Computation

    Hsu, W. H. (2009). Genetic Programming. In Wang, J., editor, Encyclopedia of Data Warehousing and Mining (2nd Edition), volume I, p. 926-931. Hershey, PA, USA: IGI Global.

  9. Probabilistic Reasoning
    Machine Learning

    Paradesi, M. S. R., Caragea, D., & Hsu, W. H. (2009). Incorporating Graph Features for Predicting Protein-Protein Interactions. In Li, X.-L. & Ng, S.-K., eds., Biological Data Mining in Protein Interaction Networks, p. 45-63. Hershey, PA, USA: IGI Global.

  10. Genetic and Evolutionary Computation

    Hsu, W. H. (2009). Evolutionary Computation and Genetic Algorithms. In Wang, J., editor, Encyclopedia of Data Warehousing and Mining (2nd Edition), volume I, p. 817-822. Hershey, PA, USA: IGI Global.

  11. Genetic and Evolutionary Computation

    Hsu, W. H. (2003). Control of Inductive Bias in Supervised Learning using Evolutionary Computation: A Wrapper-Based Approach. In Wang, J., editor, Data Mining: Opportunities and Challenges, p. 27-54. Hershey, PA. USA: IGI Publications.