William H. Hsu

2008
29	EE	Tim Weninger, William H. Hsu: Text Extraction from the Web via Text-to-Tag Ratio. DEXA Workshops 2008: 23-28
2007
28	EE	Martin S. R. Paradesi, Doina Caragea, William H. Hsu: Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae. BIBE 2007: 1270-1274
27	EE	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)
2005
26		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
25	EE	Ján Antolík, William H. Hsu: Evolutionary tree genetic programming. GECCO 2005: 1789-1790
2004
24	EE	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
23	EE	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
22	EE	William H. Hsu: Relational Graphical Models of Computational Workflows for Data Mining. ICSNW 2004: 309-310
21	EE	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)
2003
20	EE	Haipeng Guo, William H. Hsu: GA-Hardness Revisited. GECCO 2003: 1584-1585
2002
19		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
18		Sanjoy Das, Shekhar V. Gosavi, William H. Hsu, Shilpa A. Vaze: An Ant Colony Approach For The Steiner Tree Problem. GECCO 2002: 135
17		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
16		William H. Hsu, Cecil P. Schmidt, James A. Louis: Genetic Algorithm Wrappers For Feature Subset Selection In Supervised Inductive Learning. GECCO 2002: 680
15		William H. Hsu, Steven M. Gustafson: Genetic Programming And Multi-agent Layered Learning By Reinforcements. GECCO 2002: 764-771
14		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
13		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)
2001
12	EE	Steven M. Gustafson, William H. Hsu: Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem. EuroGP 2001: 291-301
2000
11		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
10		William H. Hsu, Michael Welge, Thomas Redman, David Clutter: Genetic Wrappers for Constructive Induction in High-Performance Data Mining. GECCO 2000: 765
9		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)
1998
8		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
7	EE	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)
1997
6		William H. Hsu: Probabilistic Learning in Bayesian and Stochastic Neural Networks. AAAI/IAAI 1997: 810
1995
5		William H. Hsu, Amy E. Zwarico: Automatic Synthesis of Compression Techniques for Heterogeneous Softw., Pract. Exper. 25(10): 1097-1116 (1995)
1993
4		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
3		Arthur L. Delcher, Simon Kasif, Harry R. Goldberg, William H. Hsu: Protein Secondary-Structure Modeling with Probabilistic Networks. ISMB 1993: 109-117
2	EE	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)
1		William H. Hsu, Loke-Soo Hsu, Manoel Fernando Tenorio: Parameter Significance Estimation and Financial Prediction. Neural Computing and Applications 1(4): 280-285 (1993)

Coauthor Index

1	Ján Antolík	[25]
2	Prashanth R. Boddhireddy	[23]
3	Doina Caragea	[28]
4	Yuhong Cheng	[11]
5	David Clutter	[10] [13]
6	Sanjoy Das	[14] [18] [26]
7	Arthur L. Delcher	[3] [4]
8	Harry R. Goldberg	[3] [4]
9	Shekhar V. Gosavi	[14] [18]
10	Eugene Grois	[8]
11	Haipeng Guo	[11] [17] [19] [20] [23] [24] [27]
12	Steven M. Gustafson	[11] [12] [15]
13	Loke-Soo Hsu	[1] [2]
14	Simon Kasif	[3] [4]
15	Praveen Koduru	[26]
16	James A. Louis	[16]
17	Martin S. R. Paradesi	[28]
18	Benjamin B. Perry	[17] [19]
19	Sylvian R. Ray	[7] [9]
20	Thomas Redman (Thomas C. Redman)	[10] [13]
21	Judith L. Roe	[26]
22	Cecil P. Schmidt	[16]
23	Julie A. Stilson	[17] [19]
24	Manoel Fernando Tenorio	[1] [2]
25	Shilpa A. Vaze	[14] [18]
26	Mikhail Voloshin	[8]
27	Stephen Welch	[26]
28	Michael Welge	[10] [13]
29	Tim Weninger	[29]
30	David C. Wilkins	[8] [9]
31	Amy E. Zwarico	[5]

Colors in the list of coauthors