William H. Hsu

William H. Hsu, Heath Yates, Brent Chamberlain, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Dynamic System Prediction using Temporal Artificial Neural Networks and Multi-Objective Genetic Algorithms

Sanjoy Das, William H. Hsu, Praveen Koduru, 2005, Computational Intelligence.

Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream

Carlos Aguirre, William H. Hsu, Vahid Behzadan, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae

Doina Caragea, William H. Hsu, Martin S. R. Paradesi, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Bi-relational Network Analysis Using a Fast Random Walk with Restart

Doina Caragea, Jing Xia, William H. Hsu, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Probabilistic Learning in Bayesian and Stochastic Neural Networks

William H. Hsu, 1997, AAAI/IAAI.

Parody Detection: An Annotation, Feature Construction, and Classification Approach to the Web of Parody

William H. Hsu, Joshua Levi Weese, Jessica C. Murphy, 2017 .

Text Extraction from the Web via Text-to-Tag Ratio

Tim Weninger, William H. Hsu, Tim Weninger, 2008, 2008 19th International Workshop on Database and Expert Systems Applications.

Protein Protein Interaction Analysis Using Fast Random Walk

Jing Xia, William H. Hsu, W. Hsu, 2009, International Conference on Artificial Intelligence.

Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science

Lei Luo, David Buttler, Alice Lam, 2019, 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW).

Collaborative and Structural Recommendation of Friends using Weblog-based Social Network Analysis

Tim Weninger, William H. Hsu, Andrew L. King, 2006, AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs.

Probabilistic Prediction of Protein Secondary Structure Using Causal Networks (Extended Abstract)

Simon Kasif, William H. Hsu, Arthur L. Delcher, 1993, AAAI.

GA-Hardness Revisited

William H. Hsu, Haipeng Guo, W. Hsu, 2003, GECCO.

Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences

Sylvian R. Ray, William H. Hsu, 1998, Intell. Data Anal..

Creating Open Source Lecture Materials: A Guide to Trends, Technologies, and Approaches in the Information Sciences

William H. Hsu, W. Hsu, 2015 .

Incorporating Graph Features for Predicting Protein-Protein Interactions

Doina Caragea, William H. Hsu, Martin S. R. Paradesi, 2009 .

Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery

Svitlana Volkova, Doina Caragea, William H. Hsu, 2010 .

Structural Link Analysis from User Profiles and Friends Networks: A Feature Construction Approach

Tim Weninger, William H. Hsu, Joseph P. Lancaster, 2007, ICWSM.

Genetic Programming And Multi-agent Layered Learning By Reinforcements

Steven M. Gustafson, William H. Hsu, W. Hsu, 2002, GECCO.

Binary Classification of Arousal in Built Environments using Machine Learning

William H. Hsu, Heath Yates, Brent Chamberlain, 2018, AffComp@IJCAI.

Animal Disease Event Recognition and Classication

Doina Caragea, William H. Hsu, Swathi Bujuru, 2010 .

Parameter significance estimation and financial prediction

William H. Hsu, Loke-Soo Hsu, Manoel Fernando Tenorio, 1993, Neural Computing & Applications.

Construction of recurrent mixture models for time series classification

Sylvian R. Ray, William H. Hsu, S. Ray, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

MATESC: Metadata-Analytic Text Extractor and Section Classifier for Scientific Publications

William H. Hsu, Carlos A. Aguirre, Maria F. De La Torre, 2018, KDIR.

Speech-assisted radiology system for retrieval, reporting and annotation

Tim Weninger, William H. Hsu, Daniel Greene, 2009, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems.

Quantitative Model Selection for Heterogeneous Time Series Learning

Sylvian R. Ray, William H. Hsu, S. Ray, 1998 .

Predictive Analytics of Social Networks: A Survey of Tasks and Techniques

Surya Kallumadi, William H. Hsu, Ming Yang, 2014 .

An Ant Colony Approach For The Steiner Tree Problem

Sanjoy Das, William H. Hsu, Shekhar V. Gosavi, 2002, GECCO.

Interactive Recommendations by Combining User-Item Preferences with Linked Open Data

Surya Kallumadi, William H. Hsu, S. Kallumadi, 2018, UMAP.

Genetic algorithms for attribute synthesis in large-scale data mining

William M. Pottenger, William H. Hsu, Jie Wu, 1999 .

Empirical Comparison of Incremental Learning Strategies for Genetic Programming-Based Keep-Away Soccer Agents

William H. Hsu, Edwin Rodríguez, Scott J. Harmon, 2004, AAAI Technical Report.

Evolutionary Data Mining for Link Analysis: Preliminary Experiments on a Social Network Test Bed

Tim Weninger, William H. Hsu, Martin S. R. Paradesi, 2006 .

Genetic Algorithms for Selection and Partitioning of Attributes in Large-Scale Data Mining Problems

Jie Wu, William H. Hsu, Michael Welge, 1999 .

Self-organizing systems for knowledge discovery in large databases

David Tcheng, William M. Pottenger, William H. Hsu, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Validation-Based Normalization and Selection of Interestingness Measures for Association Rules

Tim Weninger, Doina Caragea, William H. Hsu, 2008 .

Protein Secondary Structure Modelling with

Simon Kasif, William H. Hsu, Harry Goldberg, 1993 .

Predicting Links and Link Change in Friends Networks: Supervised Time Series Learning with Imbalanced Data

Tim Weninger, William H. Hsu, Martin S. R. Paradesi, 2008 .

Learning to Filter Documents for Information Extraction Using Rapid Annotation

Alice Lam, William H. Hsu, Joshua Levi Weese, 2017, 2017 International Conference on Machine Learning and Data Science (MLDS).

Protein Secondary-Structure Modeling with Probabilistic Networks

Simon Kasif, William H. Hsu, Arthur L. Delcher, 1993, ISMB.

Yield Learning with Layout-aware Advanced Scan Diagnosis

Wu-Tung Cheng, Jan Arild Tofte, Nagesh Tamarapalli, 2006 .

Evolutionary tree genetic programming

William H. Hsu, Ján Antolík, 2005, GECCO '05.

Bayesian Network Models for Generation of Crisis Management Training Scenarios

David C. Wilkins, William H. Hsu, Eugene Grois, 1998, AAAI/IAAI.

A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams

William H. Hsu, Vahid Behzadan, Avishek Bose, 2019, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches

William H. Hsu, Nasik Muhammad Nafi, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

A Survey of Algorithms for Real-Time Bayesian Network Inference

William H. Hsu, Haipeng Guo, W. Hsu, 2002 .

A genetic algorithm for tuning variable orderings in Bayesian network structure learning

William H. Hsu, Benjamin B. Perry, Haipeng Guo, 2002, AAAI/IAAI.

A machine learning approach to algorithm selection for $\mathcal{NP}$ -hard optimization problems: a case study on the MPE problem

William H. Hsu, Haipeng Guo, 2007, Ann. Oper. Res..

Genetic wrappers for feature selection in decision tree induction and variable ordering in Bayesian network structure learning

William H. Hsu, W. Hsu, 2004, Inf. Sci..

Ontology-Aware Classification and Association Rule Mining for Interest and Link Prediction in Social Networks

Doina Caragea, William H. Hsu, Waleed Aljandal, 2009, AAAI Spring Symposium: Social Semantic Web: Where Web 2.0 Meets Web 3.0.