William H. Hsu

According to our database1, William H. Hsu authored at least 59 papers between 1993 and 2019.

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Bibliography

2019
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science.
Proceedings of the 2nd International Workshop on Open Services and Tools for Document Analysis, 2019

A novel approach for detection and ranking of trendy and emerging cyber threat events in Twitter streams.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques.
Remote Sensing, 2018

Interactive Recommendations by Combining User-Item Preferences with Linked Open Data.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Towards Faster Annotation Interfaces for Learning to Filter in Information Extraction and Search.
Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

MATESC: Metadata-Analytic Text Extractor and Section Classifier for Scientific Publications.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream.
Proceedings of the IEEE International Conference on Big Data, 2018

2017
Arousal Detection for Biometric Data in Built Environments using Machine Learning.
Proceedings of the 1st IJCAI Workshop on Artificial Intelligence in Affective Computing (AffComp 2017), 2017

A spatially explicit classification model for affective computing in built environments.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017

2016
HDPauthor: A New Hybrid Author-Topic Model using Latent Dirichlet Allocation and Hierarchical Dirichlet Processes.
Proceedings of the 25th International Conference on World Wide Web, 2016

2012
Opinion Mapping: Information Visualization Approaches for Comparative Sentiment Analysis.
Proceedings of the 2nd European Workshop on Human-Computer Interaction and Information Retrieval, 2012

Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping and Data Mining Research Directions.
Proceedings of the 2nd European Workshop on Human-Computer Interaction and Information Retrieval, 2012

2010
CETR: content extraction via tag ratios.
Proceedings of the 19th International Conference on World Wide Web, 2010

Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

KSU KDD: Word Sense Induction by Clustering in Topic Space.
Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

Computational knowledge and information management in veterinary epidemiology.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2010

2009
Ontology-Based Link Prediction in the LiveJournal Social Network.
Proceedings of the Eighth Symposium on Abstraction, Reformulation, and Approximation, 2009

Bi-relational Network Analysis Using a Fast Random Walk with Restart.
Proceedings of the ICDM 2009, 2009

Protein Protein Interaction Analysis Using Fast Random Walk.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

Graph Drawing Heuristics for Path Finding in Large Dimensionless Graphs.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

An evolutionary approach to constructive induction for link discovery.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Predicting protein-protein interactions using numerical associational features.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009

Speech-assisted radiology system for retrieval, reporting and annotation.
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

Ontology-Aware Classification and Association Rule Mining for Interest and Link Prediction in Social Networks.
Proceedings of the Social Semantic Web: Where Web 2.0 Meets Web 3.0, 2009

2008
Text Extraction from the Web via Text-to-Tag Ratio.
Proceedings of the 19th International Workshop on Database and Expert Systems Applications (DEXA 2008), 2008

2007
A machine learning approach to algorithm selection for NP\mathcal{NP} -hard optimization problems: a case study on the MPE problem.
Annals OR, 2007

Structural Link Analysis from User Profiles and Friends Networks: A Feature Construction Approach.
Proceedings of the First International Conference on Weblogs and Social Media, 2007

Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Collaborative and Structural Recommendation of Friends using Weblog-based Social Network Analysis.
Proceedings of the Computational Approaches to Analyzing Weblogs, 2006

2005
Dynamic System Prediction using Temporal Artificial Neural Networks and Multi-Objective Genetic Algorithms.
Proceedings of the IASTED International Conference on Computational Intelligence, 2005

Evolutionary tree genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
Genetic wrappers for feature selection in decision tree induction and variable ordering in Bayesian network structure learning.
Inf. Sci., 2004

Relational Graphical Models of Computational Workflows for Data Mining.
Proceedings of the Semantics for Grid Databases, 2004

A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

An ACO Algorithm for the Most Probable Explanation Problem.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
GA-Hardness Revisited.
Proceedings of the Genetic and Evolutionary Computation, 2003

2002
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application.
Data Min. Knowl. Discov., 2002

Genetic Algorithm Wrappers For Feature Subset Selection In Supervised Inductive Learning.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

A Permutation Genetic Algorithm For Variable Ordering In Learning Bayesian Networks From Data.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Genetic Programming And Multi-agent Layered Learning By Reinforcements.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

An Ant Colony Algorithm for Steiner Trees: New Results.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

An Ant Colony Approach For The Steiner Tree Problem.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

A Genetic Algorithm for Tuning Variable Orderings in Bayesian Network Structure Learning.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem.
Proceedings of the Genetic Programming, 4th European Conference, 2001

2000
A Multistrategy Approach to Classifier Learning from Time Series.
Machine Learning, 2000

Genetic Wrappers for Constructive Induction in High-Performance Data Mining.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Genetic Algorithms for Reformulation of Large-Scale KDD Problems with Many Irrelevant Attributes.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1999
Construction of recurrent mixture models for time series classification.
Proceedings of the International Joint Conference Neural Networks, 1999

Self-organizing systems for knowledge discovery in large databases.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences.
Intell. Data Anal., 1998

Bayesian Network Models for Generation of Crisis Management Training Scenarios.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
A position paper on statistical inference techniques which integrate neural network and Bayesian network models.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Probabilistic Learning in Bayesian and Stochastic Neural Networks.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1995
Automatic Synthesis of Compression Techniques for Heterogeneous
Softw., Pract. Exper., 1995

1993
Parameter Significance Estimation and Financial Prediction.
Neural Computing and Applications, 1993

The Clusnet Algorithm And Time Series Prediction.
Int. J. Neural Syst., 1993

Protein Secondary-Structure Modeling with Probabilistic Networks.
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, 1993

A ClusNet architecture for prediction.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

Probabilistic Prediction of Protein Secondary Structure Using Causal Networks (Extended Abstract).
Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993


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