Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
William H. Hsu
2010 – today
- 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
2000 – 2009
- 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
1990 – 1999
- 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
Coauthor Index
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-03-06 20:27 CET by the dblp team