17 Publications
2021
AMPRO-HPCC: A Machine-Learning Tool for Predicting Resources on Slurm HPC Clusters.
Tanash, Mohammed⋅Tanash, Mohammed⋅Andresen, Daniel⋅Andresen, Daniel⋅Hsu, William and Hsu, William
ADVCOMP ... the ... International Conference on Advanced Engineering Computing and Applications in Sciences, vol. 2021, pp. 20-27, October 2021. | Journal Article
 
Assessing the potential for deep learning and computer vision to identify bumble bee species from images
Spiesman, Brian J⋅Spiesman, Brian J⋅Gratton, Claudio⋅Gratton, Claudio⋅Hatfield, Richard G⋅Hatfield, Richard G⋅Hsu, William H⋅Hsu, William H⋅McCornack, Brian⋅McCornack, Brian⋅Wang, Guanghui and Wang, Guanghui
Scientific Reports (Nature Publisher Group), vol. 11, (no. 1), 2021. | Journal Article
 
Ensemble Prediction of Job Resources to Improve System Performance for Slurm-Based HPC Systems.
Tanash, Mohammed⋅Tanash, Mohammed⋅Andresen, Daniel⋅Andresen, Daniel⋅Yang, Huichen⋅Yang, Huichen⋅Hsu, William and Hsu, William
Practice and experience in advanced research computing, vol. 2021, July 2021. | Journal Article
2019
Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning.
Tanash, Mohammed⋅Tanash, Mohammed⋅Dunn, Brandon⋅Dunn, Brandon⋅Andresen, Daniel⋅Andresen, Daniel⋅Hsu, William⋅Hsu, William⋅Yang, Huichen⋅Yang, Huichen⋅Okanlawon, Adedolapo and Okanlawon, Adedolapo
PEARC19 : Practice and Experience in Advanced Research Computing 2019 : Rise of the Machines (learning) : July 28-August 1, 2019, Chicago, Illinois. Practice and Experience in Advanced Research Computing (Conference) (2019 : Chicago, Il..., vol. 2019, July 2019. | Journal Article
2018
Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques
Varela, Sebastian⋅Varela, Sebastian⋅Hsu, William H⋅Hsu, William H⋅Vara Prasad, P V⋅Vara Prasad, P V⋅Assefa, Yared⋅Assefa, Yared⋅Peralta, Nahuel R⋅Peralta, Nahuel R⋅Griffin, Terry⋅Griffin, Terry⋅Sharda, Ajay⋅Sharda, Ajay⋅Ferguson, Allison⋅Ferguson, Allison⋅Ciampitti, Ignacio A and Ciampitti, Ignacio A
Remote Sensing, vol. 10, (no. 2), 2018. | Journal Article
2007
A machine learning approach to algorithm selection for NP-hard optimization problems: a case study on the MPE problem
Guo, Haipeng and Hsu, William H
Annals of Operations Research, vol. 156, (no. 1), pp. 61-82, Dec 2007. | Journal Article
 
Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae
Paradesi, MSR⋅Paradesi, M.S.R.⋅Caragea, D.⋅Caragea, D.⋅Hsu, W.H. and Hsu, William H
IEEE International Conference on Bioinformatics and Bioengineering. Proceedings, vol. 7, pp. 1270-1274, 2007. | Journal Article
2005
DYNAMIC SYSTEM PREDICTION USING TEMPORAL ARTIFICIAL NEURAL NETWORKS AND MULTI-OBJECTIVE GENETIC ALGORITHMS
Koduru, Praveen⋅Hsu, William H⋅Das, Sanjoy⋅Welch, Stephen and Roe, Judith L
Comuptational Intelligence: IASTED International Conference Proceedings, 2005. | Journal Article
 
Evolutionary tree genetic programming
Antolik, Jan and Hsu, William H
Genetic And Evolutionary Computation Conference: Proceedings of the 2005 conference on Genetic and evolutionary computation; 25-29 June 2005. 2005. | Conference Proceeding
2004
Genetic wrappers for feature selection in decision tree induction and variable ordering in Bayesian network structure learning
Hsu, William H
Information Sciences, vol. 163, (no. 1-3), pp. 103-122, 2004. | Journal Article
2002
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
Hsu, William H⋅Welge, Michael⋅Redman, Tom and Clutter, David
Data Mining and Knowledge Discovery, vol. 6, (no. 4), pp. 361-391, Oct 2002. | Journal Article
2000
A Multistrategy Approach to Classifier Learning from Time Series
Hsu, William⋅Ray, Sylvian and Wilkins, David
Machine Learning, vol. 38, (no. 1-2), pp. 213-236, Jan 2000. | Journal Article
 
Multistrategy approach to classifier learning from time series
Hsu, William H⋅Ray, Sylvian R and Wilkins, David C
MACH LEARN, vol. 38, (no. 1), pp. 213-216, 2000. | Journal Article
1999
Construction of recurrent mixture models for time series classification
Hsu, William H and Ray, Sylvian R
International Joint Conference on Neural Networks (IJCNN'99); Washington, DC; USA; 10 July-16 July 1999. 1999. | Conference Proceeding
1998
Time series learning with probabilistic network composites (Dissertation)
Hsu, William H (1998).
1995
Automatic synthesis of compression techniques for heterogeneous files
Hsu, William H and Zwarico, Amy E
Software - Practice and Experience, vol. 25, (no. 10), pp. 1097-1116, 1995. | Journal Article
1993
Protein secondary structure modelling with probabilistic networks.
Delcher, Arthur L⋅Kasif, Simon⋅Goldberg, H R and Hsu, William H
Proceedings / ... International Conference on Intelligent Systems for Molecular Biology ; ISMB. International Conference on Intelligent Systems for Molecular Biology, vol. 1, pp. 109-17, 1993. | Journal Article