| 2013 | ||
|---|---|---|
| i1 | Wesam Elshamy, Doina Caragea, William H. Hsu: KSU KDD: Word Sense Induction by Clustering in Topic Space. CoRR abs/1302.7056 (2013) | |
| 2010 | ||
| c35 | Svitlana Volkova, William H. Hsu: Computational knowledge and information management in veterinary epidemiology. ISI 2010: 120-125 | |
| c34 | Svitlana Volkova, Doina Caragea, William H. Hsu, John Drouhard, Landon Fowles: Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery. Web Intelligence 2010: 272-278 | |
| c33 | Tim Weninger, William H. Hsu, Jiawei Han: CETR: content extraction via tag ratios. WWW 2010: 971-980 | |
| 2009 | ||
| c32 | Waleed Aljandal, Vikas Bahirwani, Doina Caragea, William H. Hsu: Ontology-Aware Classification and Association Rule Mining for Interest and Link Prediction in Social Networks. AAAI Spring Symposium: Social Semantic Web: Where Web 2.0 Meets Web 3.0 2009: 3-8 | |
| c31 | Tim Weninger, Daniel Greene, Jack Hart, William H. Hsu, Surya Ramachandran: Speech-assisted radiology system for retrieval, reporting and annotation. CBMS 2009: 1-6 | |
| c30 | Waleed Aljandal, William H. Hsu, Jing Xia: Predicting protein-protein interactions using numerical associational features. CIBCB 2009: 135-139 | |
| c29 | Tim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal: An evolutionary approach to constructive induction for link discovery. GECCO 2009: 1941-1942 | |
| c28 | Tim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal: An evolutionary approach to constructive induction for link discovery. GECCO (Companion) 2009: 2167-2172 | |
| c27 | Tim Weninger, Rodney Howell, William H. Hsu: Graph Drawing Heuristics for Path Finding in Large Dimensionless Graphs. IC-AI 2009: 501-507 | |
| c26 | Jing Xia, William H. Hsu: Protein Protein Interaction Analysis Using Fast Random Walk. IC-AI 2009: 857-863 | |
| c25 | Jing Xia, Doina Caragea, William H. Hsu: Bi-relational Network Analysis Using a Fast Random Walk with Restart. ICDM 2009: 1052-1057 | |
| c24 | Doina Caragea, Vikas Bahirwani, Waleed Aljandal, William H. Hsu: Ontology-Based Link Prediction in the LiveJournal Social Network. SARA 2009 | |
| 2008 | ||
| c23 | Tim Weninger, William H. Hsu: Text Extraction from the Web via Text-to-Tag Ratio. DEXA Workshops 2008: 23-28 | |
| 2007 | ||
| j8 | Haipeng Guo, William H. Hsu: A machine learning approach to algorithm selection for NP\mathcal{NP} -hard optimization problems: a case study on the MPE problem. Annals OR 156(1): 61-82 (2007) | |
| c22 | Martin S. R. Paradesi, Doina Caragea, William H. Hsu: Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae. BIBE 2007: 1270-1274 | |
| c21 | William H. Hsu, Joseph P. Lancaster, Martin S. R. Paradesi, Tim Weninger: Structural Link Analysis from User Profiles and Friends Networks: A Feature Construction Approach. ICWSM 2007 | |
| 2006 | ||
| c20 | William H. Hsu, Andrew L. King, Martin S. R. Paradesi, Tejaswi Pydimarri, Tim Weninger: Collaborative and Structural Recommendation of Friends using Weblog-based Social Network Analysis. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 55-60 | |
| 2005 | ||
| c19 | ||
| c18 | Praveen Koduru, William H. Hsu, Sanjoy Das, Stephen Welch, Judith L. Roe: Dynamic System Prediction using Temporal Artificial Neural Networks and Multi-Objective Genetic Algorithms. Computational Intelligence 2005: 214-219 | |
| 2004 | ||
| j7 | William H. Hsu: Genetic wrappers for feature selection in decision tree induction and variable ordering in Bayesian network structure learning. Inf. Sci. 163(1-3): 103-122 (2004) | |
| c17 | Haipeng Guo, William H. Hsu: A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem. Australian Conference on Artificial Intelligence 2004: 307-318 | |
| c16 | Haipeng Guo, Prashanth R. Boddhireddy, William H. Hsu: An ACO Algorithm for the Most Probable Explanation Problem. Australian Conference on Artificial Intelligence 2004: 778-790 | |
| c15 | William H. Hsu: Relational Graphical Models of Computational Workflows for Data Mining. ICSNW 2004: 309-310 | |
| 2003 | ||
| c14 | ||
| 2002 | ||
| j6 | William H. Hsu, Michael Welge, Thomas Redman, David Clutter: High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application. Data Min. Knowl. Discov. 6(4): 361-391 (2002) | |
| c13 | Haipeng Guo, Benjamin B. Perry, Julie A. Stilson, William H. Hsu: A Genetic Algorithm for Tuning Variable Orderings in Bayesian Network Structure Learning. AAAI/IAAI 2002: 951-952 | |
| c12 | Sanjoy Das, Shekhar V. Gosavi, William H. Hsu, Shilpa A. Vaze: An Ant Colony Algorithm for Steiner Trees: New Results. GECCO Late Breaking Papers 2002: 69-75 | |
| c11 | Sanjoy Das, Shekhar V. Gosavi, William H. Hsu, Shilpa A. Vaze: An Ant Colony Approach For The Steiner Tree Problem. GECCO 2002: 135 | |
| c10 | William H. Hsu, Haipeng Guo, Benjamin B. Perry, Julie A. Stilson: A Permutation Genetic Algorithm For Variable Ordering In Learning Bayesian Networks From Data. GECCO 2002: 383-390 | |
| c9 | William H. Hsu, Cecil P. Schmidt, James A. Louis: Genetic Algorithm Wrappers For Feature Subset Selection In Supervised Inductive Learning. GECCO 2002: 680 | |
| c8 | William H. Hsu, Steven M. Gustafson: Genetic Programming And Multi-agent Layered Learning By Reinforcements. GECCO 2002: 764-771 | |
| 2001 | ||
| c7 | Steven M. Gustafson, William H. Hsu: Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem. EuroGP 2001: 291-301 | |
| 2000 | ||
| j5 | William H. Hsu, Sylvian R. Ray, David C. Wilkins: A Multistrategy Approach to Classifier Learning from Time Series. Machine Learning 38(1-2): 213-236 (2000) | |
| c6 | William H. Hsu, Michael Welge, Thomas Redman, David Clutter: Genetic Wrappers for Constructive Induction in High-Performance Data Mining. GECCO 2000: 765 | |
| c5 | William H. Hsu, Yuhong Cheng, Haipeng Guo, Steven M. Gustafson: Genetic Algorithms for Reformulation of Large-Scale KDD Problems with Many Irrelevant Attributes. GECCO 2000: 1081 | |
| 1998 | ||
| j4 | Sylvian R. Ray, William H. Hsu: Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences. Intell. Data Anal. 2(1-4): 287-301 (1998) | |
| c4 | Eugene Grois, William H. Hsu, Mikhail Voloshin, David C. Wilkins: Bayesian Network Models for Generation of Crisis Management Training Scenarios. AAAI/IAAI 1998: 1113-1120 | |
| 1997 | ||
| c3 | William H. Hsu: Probabilistic Learning in Bayesian and Stochastic Neural Networks. AAAI/IAAI 1997: 810 | |
| 1995 | ||
| j3 | William H. Hsu, Amy E. Zwarico: Automatic Synthesis of Compression Techniques for Heterogeneous. Softw., Pract. Exper. 25(10): 1097-1116 (1995) | |
| 1993 | ||
| j2 | William H. Hsu, Loke-Soo Hsu, Manoel Fernando Tenorio: The Clusnet Algorithm And Time Series Prediction. Int. J. Neural Syst. 4(3): 247-255 (1993) | |
| j1 | William H. Hsu, Loke-Soo Hsu, Manoel Fernando Tenorio: Parameter Significance Estimation and Financial Prediction. Neural Computing and Applications 1(4): 280-285 (1993) | |
| c2 | Arthur L. Delcher, Simon Kasif, Harry R. Goldberg, William H. Hsu: Probabilistic Prediction of Protein Secondary Structure Using Causal Networks (Extended Abstract). AAAI 1993: 316-321 | |
| c1 | Arthur L. Delcher, Simon Kasif, Harry R. Goldberg, William H. Hsu: Protein Secondary-Structure Modeling with Probabilistic Networks. ISMB 1993: 109-117 | |
Colors in the list of coauthors
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