William H. Hsu
William Henry Hsu
Kansas State University, Manhattan, KS, USA
University of Illinois, Urbana-Champaign, Champaign, IL, USA
https://people.cs.ksu.edu/~bhsu/
https://loop.frontiersin.org/people/492437
https://dl.acm.org/profile/81100321786
https://orcid.org/0000-0002-2950-6246
Raja Farrukh Ali
Kevin Duong
Nasik Muhammad Nafi
William H. Hsu
Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract).
16150-16151
2023
AAAI
https://doi.org/10.1609/aaai.v37i13.26935
conf/aaai/2023
db/conf/aaai/aaai2023.html#AliDNH23
Nasik Muhammad Nafi
Raja Farrukh Ali
William H. Hsu
Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization.
2625-2627
2023
AAMAS
https://dl.acm.org/doi/10.5555/3545946.3599023
conf/atal/2023
db/conf/atal/aamas2023.html#NafiAH23
Nasik Muhammad Nafi
Giovanni Poggi-Corradini
William H. Hsu
Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning.
1-8
2023
IJCNN
https://doi.org/10.1109/IJCNN54540.2023.10191507
conf/ijcnn/2023
db/conf/ijcnn/ijcnn2023.html#NafiPH23
Avishek Bose
Huichen Yang
Marissa Shivers
Ahat Orazgeldiyev
William H. Hsu
Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks.
1-6
2023
ISI
https://doi.org/10.1109/ISI58743.2023.10297274
conf/isi/2023
db/conf/isi/isi2023.html#BoseYSOH23
Caleb Martin
Huichen Yang
William H. Hsu
KDDIE at SemEval-2023 Task 2: External Knowledge Injection for Named Entity Recognition.
1498-1501
2023
SemEval@ACL
https://doi.org/10.18653/v1/2023.semeval-1.206
https://aclanthology.org/2023.semeval-1.206
conf/semeval/2023
db/conf/semeval/semeval2023.html#MartinYH23
Lei Luo 0007
William H. Hsu
AMMUNIT: An Attention-Based Multimodal Multi-domain UNsupervised Image-to-Image Translation Framework.
358-370
2022
ICANN (2)
https://doi.org/10.1007/978-3-031-15931-2_30
conf/icann/2022-2
db/conf/icann/icann2022-2.html#LuoH22
Huichen Yang
William H. Hsu
Transformer-Based Approach for Document Layout Understanding.
4043-4047
2022
ICIP
https://doi.org/10.1109/ICIP46576.2022.9897491
conf/icip/2022
db/conf/icip/icip2022.html#YangH22
Nasik Muhammad Nafi
Creighton Glasscock
William H. Hsu
Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning.
15-22
2022
ICMLA
https://doi.org/10.1109/ICMLA55696.2022.00011
conf/icmla/2022
db/conf/icmla/icmla2022.html#NafiGH22
Majed Alsadhan
William H. Hsu
Few-Shot Learning in Object Classification using Meta-Learning with Between-Class Attribute Transfer.
560-565
2022
ICMLC
https://doi.org/10.1145/3529836.3529914
conf/icmlc2/2022
db/conf/icmlc2/icmlc2022.html#AlsadhanH22
Scott Hutchison
Daniel Andresen
Mitchell L. Neilsen
William H. Hsu
Benjamin Parsons
High Performance Computing Queue Time Prediction Using Clustering and Regression.
260-272
2022
PPAM (2)
https://doi.org/10.1007/978-3-031-30445-3_22
conf/ppam/2022-2
db/conf/ppam/ppam2022-2.html#HutchisonANHP22
Caleb Martin
Huichen Yang
William H. Hsu
KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition.
1531-1535
2022
SemEval@NAACL
https://doi.org/10.18653/v1/2022.semeval-1.210
https://aclanthology.org/2022.semeval-1.210
conf/semeval/2022
db/conf/semeval/semeval2022.html#MartinYH22
Huichen Yang
William H. Hsu
Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach.
2021
SDU@AAAI
https://ceur-ws.org/Vol-2831/paper15.pdf
conf/aaai/2021sdu
db/conf/aaai/sdu2021.html#YangH21
Avishek Bose
Huichen Yang
William H. Hsu
Daniel Andresen
HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks.
4113-4118
2021
IEEE BigData
https://doi.org/10.1109/BigData52589.2021.9671370
conf/bigdataconf/2021
db/conf/bigdataconf/bigdataconf2021.html#BoseYHA21
Ademola Okerinde
William H. Hsu
Tom Theis
Nasik Muhammad Nafi
Lior Shamir
eGAN: Unsupervised Approach to Class Imbalance Using Transfer Learning.
322-331
2021
CAIP (1)
https://doi.org/10.1007/978-3-030-89128-2_31
conf/caip/2021-1
db/conf/caip/caip2021-1.html#OkerindeHTNS21
Lei Luo 0007
William H. Hsu
Shangxian Wang
Towards Fine-Grained Control over Latent Space for Unpaired Image-to-Image Translation.
408-420
2021
ICANN (3)
https://doi.org/10.1007/978-3-030-86365-4_33
conf/icann/2021-3
db/conf/icann/icann2021-3.html#LuoHW21
Huichen Yang
William H. Hsu
Automatic metadata information extraction from scientific literature using deep neural networks.
1208414
2021
ICMV
https://doi.org/10.1117/12.2623554
conf/icmv/2021
db/conf/icmv/icmv2021.html#YangH21
Avishek Bose
Shreya Gopal Sundari
Vahid Behzadan
William H. Hsu
Tracing Relevant Twitter Accounts Active in Cyber Threat Intelligence Domain by Exploiting Content and Structure of Twitter Network.
1-6
2021
ISI
https://doi.org/10.1109/ISI53945.2021.9624754
conf/isi/2021
db/conf/isi/isi2021.html#BoseSBH21
Mohammed Tanash
Huichen Yang
Daniel Andresen
William H. Hsu
Ensemble Prediction of Job Resources to Improve System Performance for Slurm-Based HPC Systems.
21:1-21:8
2021
PEARC
https://doi.org/10.1145/3437359.3465574
conf/xsede/2021
db/conf/xsede/pearc2021.html#TanashYAH21
Deepti Lamba
William H. Hsu
Artificial Intelligence Diversity, Belonging, Equity, and Inclusion, AIDBEI 2021, virtual, February 9, 2021.
AIDBEI
PMLR
2021
Proceedings of Machine Learning Research
142
https://proceedings.mlr.press/v142/
db/conf/aidbei/aidbei2021.html
Ademola Okerinde
Lior Shamir
William H. Hsu
Tom Theis
Nasik Muhammad Nafi
eGAN: Unsupervised approach to class imbalance using transfer learning.
2021
abs/2104.04162
CoRR
https://arxiv.org/abs/2104.04162
db/journals/corr/corr2104.html#abs-2104-04162
Lei Luo 0007
William H. Hsu
Shape-aware generative adversarial networks for attribute transfer.
1160515
2020
ICMV
https://doi.org/10.1117/12.2586992
conf/icmv/2020
db/conf/icmv/icmv2020.html#LuoH20
Huichen Yang
William H. Hsu
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks.
6455-6462
2020
ICPR
https://doi.org/10.1109/ICPR48806.2021.9412557
conf/icpr/2020
db/conf/icpr/icpr2020.html#YangH20
Nasik Muhammad Nafi
Avishek Bose
Sarthak Khanal
Doina Caragea
William H. Hsu
Abstractive Text Summarization of Disaster-Related Documents.
881-892
2020
ISCRAM
https://idl.iscram.org/show.php?record=2279
conf/iscram/2020
db/conf/iscram/iscram2020.html#NafiBKCH20
Nasik Muhammad Nafi
William H. Hsu
Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches.
243-248
2020
IWSSIP
https://doi.org/10.1109/IWSSIP48289.2020.9145239
conf/iwssip/2020
db/conf/iwssip/iwssip2020.html#NafiH20
Lei Luo 0007
William H. Hsu
Shangxian Wang
Data Augmentation Using Generative Adversarial Networks for Electrical Insulator Anomaly Detection.
231-236
2020
MSIE
https://doi.org/10.1145/3396743.3396790
conf/msie/2020
db/conf/msie/msie2020.html#LuoHW20
Lei Luo 0007
William H. Hsu
Shangxian Wang
Shape-aware Generative Adversarial Networks for Attribute Transfer.
2020
abs/2010.05259
CoRR
https://arxiv.org/abs/2010.05259
db/journals/corr/corr2010.html#abs-2010-05259
Huichen Yang
William H. Hsu
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks.
2020
abs/2010.11727
CoRR
https://arxiv.org/abs/2010.11727
db/journals/corr/corr2010.html#abs-2010-11727
Adedolapo Okanlawon
Huichen Yang
Avishek Bose
William H. Hsu
Dan Andresen
Mohammed Tanash
Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support.
2020
abs/2012.07982
CoRR
https://arxiv.org/abs/2012.07982
db/journals/corr/corr2012.html#abs-2012-07982
Avishek Bose
Vahid Behzadan
Carlos A. Aguirre
William H. Hsu
A novel approach for detection and ranking of trendy and emerging cyber threat events in Twitter streams.
871-878
2019
ASONAM
https://doi.org/10.1145/3341161.3344379
conf/asunam/2019
db/conf/asunam/asonam2019.html#BoseBAH19
Huichen Yang
Alice Lam
Thomas Yong-Jin Han
David Buttler
William H. Hsu
Carlos A. Aguirre
Maria F. De La Torre
Derek Christensen
Luis Bobadilla
Emily Davich
Jordan Roth
Lei Luo 0007
Yihong Theis
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science.
41-46
2019
OST@ICDAR
https://doi.org/10.1109/ICDARW.2019.10037
conf/icdar/2019ost
db/conf/icdar/ost2019.html#YangLHBHATCBDRL19
Vahid Behzadan
William H. Hsu
Adversarial Exploitation of Policy Imitation.
2019
AISafety@IJCAI
https://ceur-ws.org/Vol-2419/paper_40.pdf
conf/ijcai/2019ais
db/conf/ijcai/ais2019.html#BehzadanH19
Vahid Behzadan
William H. Hsu
Watermarking of DRL Policies with Sequential Triggers.
2019
AISafety@IJCAI
https://ceur-ws.org/Vol-2419/paper_41.pdf
conf/ijcai/2019ais
db/conf/ijcai/ais2019.html#BehzadanH19a
Vahid Behzadan
William H. Hsu
RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies.
314-325
2019
SAFECOMP Workshops
https://doi.org/10.1007/978-3-030-26250-1_25
conf/safecomp/2019w
db/conf/safecomp/safecomp2019w.html#BehzadanH19
Mohammed Tanash
Brandon Dunn
Daniel Andresen
William H. Hsu
Huichen Yang
Adedolapo Okanlawon
Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning.
69:1-69:8
2019
PEARC
https://doi.org/10.1145/3332186.3333041
conf/xsede/2019
db/conf/xsede/pearc2019.html#TanashDAHYO19
Vahid Behzadan
William H. Hsu
RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies.
2019
abs/1906.01110
CoRR
http://arxiv.org/abs/1906.01110
db/journals/corr/corr1906.html#abs-1906-01110
Vahid Behzadan
William H. Hsu
Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE).
2019
abs/1906.01119
CoRR
http://arxiv.org/abs/1906.01119
db/journals/corr/corr1906.html#abs-1906-01119
Vahid Behzadan
William H. Hsu
Adversarial Exploitation of Policy Imitation.
2019
abs/1906.01121
CoRR
http://arxiv.org/abs/1906.01121
db/journals/corr/corr1906.html#abs-1906-01121
Vahid Behzadan
William H. Hsu
Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies.
2019
abs/1906.01126
CoRR
http://arxiv.org/abs/1906.01126
db/journals/corr/corr1906.html#abs-1906-01126
Jianmei Luo
ChandraVyas Annakula
Aruna Sai Kannamareddy
Jasjeet S. Sekhon
William Henry Hsu
Michael Higgins
Hybridized Threshold Clustering for Massive Data.
2019
abs/1907.02907
CoRR
http://arxiv.org/abs/1907.02907
db/journals/corr/corr1907.html#abs-1907-02907
Avishek Bose
Vahid Behzadan
Carlos A. Aguirre
William H. Hsu
A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams.
2019
abs/1907.07768
CoRR
http://arxiv.org/abs/1907.07768
db/journals/corr/corr1907.html#abs-1907-07768
Huichen Yang
Carlos A. Aguirre
Maria F. De La Torre
Derek Christensen
Luis Bobadilla
Emily Davich
Jordan Roth
Lei Luo 0007
Yihong Theis
Alice Lam
Thomas Yong-Jin Han
David Buttler
William H. Hsu
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science.
2019
abs/1912.07747
CoRR
http://arxiv.org/abs/1912.07747
db/journals/corr/corr1912.html#abs-1912-07747
Sebastian Varela
Pruthvidhar Reddy Dhodda
William H. Hsu
P. V. Vara Prasad
Yared Assefa
Nahuel R. Peralta
Terry Griffin
Ajay Sharda
Allison Ferguson
Ignacio Antonio Ciampitti
Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques.
343
2018
10
Remote. Sens.
2
https://doi.org/10.3390/rs10020343
db/journals/remotesensing/remotesensing10.html#VarelaDHPAPGSFC18
Vahid Behzadan
Carlos A. Aguirre
Avishek Bose
William H. Hsu
Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream.
5002-5007
2018
IEEE BigData
https://doi.org/10.1109/BigData.2018.8622506
conf/bigdataconf/2018
db/conf/bigdataconf/bigdataconf2018.html#BehzadanABH18
Maria F. De La Torre
Carlos A. Aguirre
BreAnn M. Anshutz
William H. Hsu
MATESC: Metadata-Analytic Text Extractor and Section Classifier for Scientific Publications.
259-265
2018
KDIR
https://doi.org/10.5220/0006937702590265
conf/ic3k/2018kdir
db/conf/ic3k/kdir2018.html#TorreAAH18
Heath Yates
Brent C. Chamberlain
William H. Hsu
Binary Classification of Arousal in Built Environments using Machine Learning.
35-51
2018
AffComp@IJCAI
http://proceedings.mlr.press/v86/yates20a/yates20a.pdf
http://kdd.cs.ksu.edu/Workshops/IJCAI-2018-AffComp/v86/yates20a.html
conf/ijcai/2018affcomp
db/conf/ijcai/affcomp2018.html#YatesCH18
Carlos A. Aguirre
Shelby Coen
Maria F. De La Torre
William H. Hsu
Margaret Rys
Towards Faster Annotation Interfaces for Learning to Filter in Information Extraction and Search.
2018
IUI Workshops
https://ceur-ws.org/Vol-2068/esida4.pdf
conf/iui/2018w
db/conf/iui/iui2018w.html#AguirreCTHR18
Surya Kallumadi
William H. Hsu
Interactive Recommendations by Combining User-Item Preferences with Linked Open Data.
121-125
2018
UMAP (Adjunct Publication)
https://doi.org/10.1145/3213586.3226222
conf/um/2018a
db/conf/um/umap2018a.html#KallumadiH18
William H. Hsu
Heath Yates
Workshop on Artificial Intelligence in Affective Computing, AffComp@IJCAI 2018, Stockholm, Sweden, 15 July 2018,
AffComp@IJCAI
2018
PMLR
Proceedings of Machine Learning Research
86
http://proceedings.mlr.press/v86/
db/conf/ijcai/affcomp2018.html
Dan Andresen
William H. Hsu
Huichen Yang
Adedolapo Okanlawon
Machine Learning for Predictive Analytics of Compute Cluster Jobs.
2018
abs/1806.01116
CoRR
http://arxiv.org/abs/1806.01116
db/journals/corr/corr1806.html#abs-1806-01116
Heath Yates
Brent C. Chamberlain
William H. Hsu
A spatially explicit classification model for affective computing in built environments.
100-104
2017
ACII Workshops
https://doi.org/10.1109/ACIIW.2017.8272597
https://doi.ieeecomputersociety.org/10.1109/ACIIW.2017.8272597
conf/acii/2017w
db/conf/acii/acii2017w.html#YatesCH17
Heath Yates
Brent C. Chamberlain
Greg Norman
William H. Hsu
Arousal Detection for Biometric Data in Built Environments using Machine Learning.
58-72
2017
AffComp@IJCAI
http://proceedings.mlr.press/v66/yates17a.html
conf/ijcai/2017affcomp
db/conf/ijcai/affcomp2017.html#YatesCNH17
Ming Yang 0042
William H. Hsu
HDPauthor: A New Hybrid Author-Topic Model using Latent Dirichlet Allocation and Hierarchical Dirichlet Processes.
619-624
2016
WWW (Companion Volume)
https://doi.org/10.1145/2872518.2890561
conf/www/2016c
db/conf/www/www2016c.html#YangH16
William H. Hsu
Mohammed Abduljabbar
Ryuichi Osuga
Max Lu
Wesam Elshamy
Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping and Data Mining Research Directions.
2015
abs/1503.01549
CoRR
http://arxiv.org/abs/1503.01549
db/journals/corr/corr1503.html#HsuAOLE15
Wesam Elshamy
Doina Caragea
William H. Hsu
KSU KDD: Word Sense Induction by Clustering in Topic Space
http://arxiv.org/abs/1302.7056
2013
CoRR
abs/1302.7056
db/journals/corr/corr1302.html#abs-1302-7056
William H. Hsu
Praveen Koduru
Opinion Mapping: Information Visualization Approaches for Comparative Sentiment Analysis.
25-28
2012
EuroHCIR
https://ceur-ws.org/Vol-909/paper7.pdf
conf/eurohcir/2012
db/conf/eurohcir/eurohcir2012.html#HsuK12
William H. Hsu
Mohammed Abduljabbar
Ryuichi Osuga
Max Lu
Wesam Elshamy
Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping and Data Mining Research Directions.
43-46
2012
EuroHCIR
https://ceur-ws.org/Vol-909/poster3.pdf
conf/eurohcir/2012
db/conf/eurohcir/eurohcir2012.html#HsuAOLE12
Sohini Roy Chowdhury
Caterina M. Scoglio
William H. Hsu
Mitigation Strategies for Foot and Mouth Disease: A Learning-Based Approach.
42-76
2011
2
Int. J. Artif. Life Res.
2
https://doi.org/10.4018/jalr.2011040103
db/journals/ijalr/ijalr2.html#ChowdhurySH11
Svitlana Volkova
William H. Hsu
Computational knowledge and information management in veterinary epidemiology.
120-125
2010
ISI
https://doi.org/10.1109/ISI.2010.5484764
conf/isi/2010
db/conf/isi/isi2010.html#VolkovaH10
Wesam Elshamy
Doina Caragea
William H. Hsu
KSU KDD: Word Sense Induction by Clustering in Topic Space.
367-370
2010
SemEval@ACL
https://aclanthology.org/S10-1082/
conf/semeval/2010
db/conf/semeval/semeval2010.html#ElshamyCH10
Svitlana Volkova
Doina Caragea
William H. Hsu
John Drouhard
Landon Fowles
Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery.
272-278
2010
Web Intelligence
https://doi.org/10.1109/WI-IAT.2010.152
https://doi.ieeecomputersociety.org/10.1109/WI-IAT.2010.152
conf/webi/2010
db/conf/webi/webi2010.html#VolkovaCHDF10
Tim Weninger
William H. Hsu
Jiawei Han 0001
CETR: content extraction via tag ratios.
971-980
2010
WWW
https://doi.org/10.1145/1772690.1772789
conf/www/2010
db/conf/www/www2010.html#WeningerHH10
Sohini Roy Chowdhury
Caterina M. Scoglio
William H. Hsu
Simulative modeling to control the Foot and Mouth Disease epidemic.
2261-2270
2010
conf/iccS/2010
ICCS
1
https://doi.org/10.1016/j.procs.2010.04.253
db/journals/procedia/procedia1.html#ChowdhurySH10
Waleed Aljandal
Vikas Bahirwani
Doina Caragea
William H. Hsu
Ontology-Aware Classification and Association Rule Mining for Interest and Link Prediction in Social Networks.
3-8
2009
AAAI Spring Symposium: Social Semantic Web: Where Web 2.0 Meets Web 3.0
http://www.aaai.org/Library/Symposia/Spring/2009/ss09-08-002.php
conf/aaaiss/2009-8
db/conf/aaaiss/aaaiss2009-8.html#AljandalBCH09
Tim Weninger
Daniel Greene
Jack Hart
William H. Hsu
Surya Ramachandran
Speech-assisted radiology system for retrieval, reporting and annotation.
1-6
2009
CBMS
https://doi.org/10.1109/CBMS.2009.5255377
https://doi.ieeecomputersociety.org/10.1109/CBMS.2009.5255377
conf/cbms/2009
db/conf/cbms/cbms2009.html#WeningerGHHR09
Waleed Aljandal
William H. Hsu
Jing Xia
Predicting protein-protein interactions using numerical associational features.
135-139
2009
CIBCB
https://doi.org/10.1109/CIBCB.2009.4925719
conf/cibcb/2009
db/conf/cibcb/cibcb2009.html#AljandalHX09
Tim Weninger
William H. Hsu
Jing Xia
Waleed Aljandal
An evolutionary approach to constructive induction for link discovery.
1941-1942
2009
GECCO
https://doi.org/10.1145/1569901.1570248
conf/gecco/2009g
db/conf/gecco/gecco2009.html#WeningerHXA09
Tim Weninger
William H. Hsu
Jing Xia
Waleed Aljandal
An evolutionary approach to constructive induction for link discovery.
2167-2172
2009
GECCO (Companion)
https://doi.org/10.1145/1570256.1570295
conf/gecco/2009c
db/conf/gecco/gecco2009c.html#WeningerHXA09a
Tim Weninger
Rodney Howell
William H. Hsu
Graph Drawing Heuristics for Path Finding in Large Dimensionless Graphs.
501-507
2009
IC-AI
conf/icai/2009
db/conf/icai/icai2009.html#WeningerHH09
Jing Xia
William H. Hsu
Protein Protein Interaction Analysis Using Fast Random Walk.
857-863
2009
IC-AI
conf/icai/2009
db/conf/icai/icai2009.html#XiaH09
Jing Xia
Doina Caragea
William H. Hsu
Bi-relational Network Analysis Using a Fast Random Walk with Restart.
1052-1057
2009
ICDM
https://doi.org/10.1109/ICDM.2009.134
https://doi.ieeecomputersociety.org/10.1109/ICDM.2009.134
conf/icdm/2009
db/conf/icdm/icdm2009.html#XiaCH09
Doina Caragea
Vikas Bahirwani
Waleed Aljandal
William H. Hsu
Ontology-Based Link Prediction in the LiveJournal Social Network.
2009
SARA
http://www.aaai.org/ocs/index.php/SARA/SARA09/paper/view/831
conf/sara/2009
db/conf/sara/sara2009.html#CarageaBAH09
Tim Weninger
William H. Hsu
Text Extraction from the Web via Text-to-Tag Ratio.
23-28
2008
DEXA Workshops
https://doi.org/10.1109/DEXA.2008.12
https://doi.ieeecomputersociety.org/10.1109/DEXA.2008.12
conf/dexaw/2008
db/conf/dexaw/dexaw2008.html#WeningerH08
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.
61-82
2007
156
Ann. Oper. Res.
1
https://doi.org/10.1007/s10479-007-0229-6
db/journals/anor/anor156.html#GuoH07
Martin S. R. Paradesi
Doina Caragea
William H. Hsu
Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae.
1270-1274
2007
conf/bibe/2007
BIBE
https://doi.org/10.1109/BIBE.2007.4375729
https://doi.ieeecomputersociety.org/10.1109/BIBE.2007.4375729
db/conf/bibe/bibe2007.html#ParadesiCH07
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.
2007
ICWSM
http://www.icwsm.org/papers/paper16.html
conf/icwsm/2007
db/conf/icwsm/icwsm2007.html#HsuLPW07
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.
55-60
2006
AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs
http://www.aaai.org/Library/Symposia/Spring/2006/ss06-03-012.php
conf/aaaiss/2006-3
db/conf/aaaiss/aaaiss2006-3.html#HsuKPPW06
Ján Antolík
William H. Hsu
Evolutionary tree genetic programming.
1789-1790
2005
conf/gecco/2005
GECCO
https://doi.org/10.1145/1068009.1068312
db/conf/gecco/gecco2005.html#AntolikH05
Praveen Koduru
William H. Hsu
Sanjoy Das
Stephen M. Welch
Judith L. Roe
Dynamic System Prediction using Temporal Artificial Neural Networks and Multi-Objective Genetic Algorithms.
214-219
2005
conf/iastedCI/2005
Computational Intelligence
db/conf/iastedCI/ci2005.html#KoduruHDWR05
William H. Hsu
Genetic wrappers for feature selection in decision tree induction and variable ordering in Bayesian network structure learning.
103-122
2004
163
Inf. Sci.
1-3
https://doi.org/10.1016/j.ins.2003.03.019
db/journals/isci/isci163.html#Hsu04
William H. Hsu
Scott J. Harmon
Edwin Rodríguez
Christopher Zhong
Empirical Comparison of Incremental Learning Strategies for Genetic Programming-Based Keep-Away Soccer Agents.
43-51
2004
AAAI Technical Report (2)
https://www.aaai.org/Library/Symposia/Fall/2004/fs04-02-006.php
conf/aaaifs/2004-2
db/conf/aaaifs/aaaifs2004-2.html#HsuHRZ04
Haipeng Guo
William H. Hsu
A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem.
307-318
https://doi.org/10.1007/978-3-540-30549-1_28
2004
conf/ausai/2004
Australian Conference on Artificial Intelligence
db/conf/ausai/ausai2004.html#GuoH04
Haipeng Guo
Prashanth R. Boddhireddy
William H. Hsu
An ACO Algorithm for the Most Probable Explanation Problem.
778-790
https://doi.org/10.1007/978-3-540-30549-1_67
2004
conf/ausai/2004
Australian Conference on Artificial Intelligence
db/conf/ausai/ausai2004.html#GuoBH04
William H. Hsu
Roby Joehanes
Permutation Genetic Algorithms for Score-Based Bayesian Network Structure Learning.
273-280
2004
CCCT (1)
conf/ccct/2004-1
db/conf/ccct/ccct2004-1.html#HsuJ04
Scott J. Harmon
Edwin Rodríguez
Christopher Zhong
William H. Hsu
A Comparison of Hybrid Incremental Reuse Strategies for Reinforcement Learning in Genetic Programming.
706-707
https://doi.org/10.1007/978-3-540-24855-2_79
2004
conf/gecco/2004-2
GECCO (2)
db/conf/gecco/gecco2004-2.html#HarmonRZH04
William H. Hsu
Relational Graphical Models of Computational Workflows for Data Mining.
309-310
https://doi.org/10.1007/978-3-540-30145-5_19
2004
conf/icsnw/2004
ICSNW
db/conf/icsnw/icsnw2004.html#Hsu04
Haipeng Guo
William H. Hsu
GA-Hardness Revisited.
1584-1585
2003
conf/gecco/2003-2
GECCO
https://doi.org/10.1007/3-540-45110-2_36
db/conf/gecco/gecco2003-2.html#GuoH03
William H. Hsu
Michael Welge
Thomas Redman 0001
David Clutter
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application.
361-391
2002
6
Data Min. Knowl. Discov.
4
db/journals/datamine/datamine6.html#HsuWRC02
https://doi.org/10.1023/A:1016352221465
Haipeng Guo
Benjamin B. Perry
Julie A. Stilson
William H. Hsu
A Genetic Algorithm for Tuning Variable Orderings in Bayesian Network Structure Learning.
951-952
2002
conf/aaai/2002
AAAI/IAAI
db/conf/aaai/aaai2002.html#GuoPSH02
http://www.aaai.org/Library/AAAI/2002/aaai02-143.php
Sanjoy Das
Shekhar V. Gosavi
William H. Hsu
Shilpa A. Vaze
An Ant Colony Algorithm for Steiner Trees: New Results.
69-75
2002
conf/gecco/2002late
GECCO Late Breaking Papers
db/conf/gecco/gecco2002late.html#DasGHV02a
Sanjoy Das
Shekhar V. Gosavi
William H. Hsu
Shilpa A. Vaze
An Ant Colony Approach For The Steiner Tree Problem.
135
2002
conf/gecco/2002
GECCO
db/conf/gecco/gecco2002.html#DasGHV02
William H. Hsu
Haipeng Guo
Benjamin B. Perry
Julie A. Stilson
A Permutation Genetic Algorithm For Variable Ordering In Learning Bayesian Networks From Data.
383-390
2002
conf/gecco/2002
GECCO
db/conf/gecco/gecco2002.html#HsuGPS02
William H. Hsu
Cecil P. Schmidt
James A. Louis
Genetic Algorithm Wrappers For Feature Subset Selection In Supervised Inductive Learning.
680
2002
conf/gecco/2002
GECCO
db/conf/gecco/gecco2002.html#HsuSL02
William H. Hsu
Steven M. Gustafson
Genetic Programming And Multi-agent Layered Learning By Reinforcements.
764-771
2002
conf/gecco/2002
GECCO
db/conf/gecco/gecco2002.html#HsuG02
Steven M. Gustafson
William H. Hsu
Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem.
291-301
2001
conf/eurogp/2001
EuroGP
https://doi.org/10.1007/3-540-45355-5_23
db/conf/eurogp/eurogp2001.html#GustafsonH01
William H. Hsu
Sylvian R. Ray
David C. Wilkins
A Multistrategy Approach to Classifier Learning from Time Series.
213-236
2000
38
Mach. Learn.
1-2
db/journals/ml/ml38.html#HsuRW00
https://doi.org/10.1023/A:1007694209216
William H. Hsu
Michael Welge
Thomas Redman 0001
David Clutter
Genetic Wrappers for Constructive Induction in High-Performance Data Mining.
765
2000
conf/gecco/2000
GECCO
db/conf/gecco/gecco2000.html#HsuWRC00
William H. Hsu
Yuhong Cheng
Haipeng Guo
Steven M. Gustafson
Genetic Algorithms for Reformulation of Large-Scale KDD Problems with Many Irrelevant Attributes.
1081
2000
conf/gecco/2000
GECCO
db/conf/gecco/gecco2000.html#HsuCGG00
William H. Hsu
Sylvian R. Ray
Construction of recurrent mixture models for time series classification.
1574-1579
1999
IJCNN
https://doi.org/10.1109/IJCNN.1999.832605
conf/ijcnn/1999
db/conf/ijcnn/ijcnn1999.html#HsuR99
William H. Hsu
Loretta S. Anvil
William M. Pottenger
David Tcheng
Michael Welge
Self-organizing systems for knowledge discovery in large databases.
2480-2485
1999
IJCNN
https://doi.org/10.1109/IJCNN.1999.833461
conf/ijcnn/1999
db/conf/ijcnn/ijcnn1999.html#HsuAPTW99
William H. Hsu
Time Series Learning With Probabilistic Network Composites
University of Illinois Urbana-Champaign, USA
1998
https://hdl.handle.net/2142/81927
Sylvian R. Ray
William H. Hsu
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences.
287-301
1998
2
Intell. Data Anal.
1-4
https://doi.org/10.1016/S1088-467X(98)00032-8
db/journals/ida/ida2.html#RayH98
Eugene Grois
William H. Hsu
Mikhail Voloshin
David C. Wilkins
Bayesian Network Models for Generation of Crisis Management Training Scenarios.
1113-1120
1998
conf/aaai/1998
AAAI/IAAI
db/conf/aaai/aaai98.html#GroisHVW98
http://www.aaai.org/Library/IAAI/1998/iaai98-015.php
William H. Hsu
Probabilistic Learning in Bayesian and Stochastic Neural Networks.
810
1997
conf/aaai/1997
AAAI/IAAI
db/conf/aaai/aaai97.html#Hsu97
http://www.aaai.org/Library/AAAI/1997/aaai97-141.php
William H. Hsu
A position paper on statistical inference techniques which integrate neural network and Bayesian network models.
1972-1977
1997
ICNN
https://doi.org/10.1109/ICNN.1997.614201
conf/icnn/1997
db/conf/icnn/icnn1997.html#Hsu97
William H. Hsu
Amy E. Zwarico
Automatic Synthesis of Compression Techniques for Heterogeneous
Softw. Pract. Exp.
25
10
1995
1097-1116
db/journals/spe/spe25.html#HsuZ95
https://doi.org/10.1002/spe.4380251003
Arthur L. Delcher
Simon Kasif
Harry R. Goldberg
William H. Hsu
Probabilistic Prediction of Protein Secondary Structure Using Causal Networks (Extended Abstract).
316-321
1993
conf/aaai/1993
AAAI
db/conf/aaai/aaai93.html#DelcherKGH93
http://www.aaai.org/Library/AAAI/1993/aaai93-048.php
Arthur L. Delcher
Simon Kasif
Harry R. Goldberg
William H. Hsu
Protein Secondary-Structure Modeling with Probabilistic Networks.
109-117
1993
conf/ismb/1993
ISMB
db/conf/ismb/ismb1993.html#DelcherKGH93
http://www.aaai.org/Library/ISMB/1993/ismb93-013.php
Mohammed Abduljabbar
Carlos A. Aguirre
Raja Farrukh Ali
Waleed Aljandal
Majed Alsadhan
Dan Andresen
Daniel Andresen
ChandraVyas Annakula
BreAnn M. Anshutz
Ján Antolík
Loretta S. Anvil
Yared Assefa
Vikas Bahirwani
Vahid Behzadan
Luis Bobadilla
Prashanth R. Boddhireddy
Avishek Bose
David Buttler
Doina Caragea
Brent C. Chamberlain
Yuhong Cheng
Sohini Roy Chowdhury
Derek Christensen
Ignacio Antonio Ciampitti
David Clutter
Shelby Coen
Sanjoy Das
Emily Davich
Arthur L. Delcher
Pruthvidhar Reddy Dhodda
John Drouhard
Brandon Dunn
Kevin Duong
Wesam Elshamy
Allison Ferguson
Landon Fowles
Creighton Glasscock
Harry R. Goldberg
Shekhar V. Gosavi
Daniel Greene
Terry Griffin
Eugene Grois
Haipeng Guo
Steven M. Gustafson
Jiawei Han 0001
Thomas Yong-Jin Han
Scott J. Harmon
Jack Hart
Michael Higgins
Rodney Howell
Scott Hutchison
Roby Joehanes
Surya Kallumadi
Aruna Sai Kannamareddy
Simon Kasif
Sarthak Khanal
Andrew L. King
Praveen Koduru
Alice Lam
Deepti Lamba
Joseph P. Lancaster
James A. Louis
Max Lu
Jianmei Luo
Lei Luo 0007
Caleb Martin
Nasik Muhammad Nafi
Mitchell L. Neilsen
Greg Norman
Adedolapo Okanlawon
Ademola Okerinde
Ahat Orazgeldiyev
Ryuichi Osuga
Martin S. R. Paradesi
Benjamin Parsons
Nahuel R. Peralta
Benjamin B. Perry
Giovanni Poggi-Corradini
William M. Pottenger
P. V. Vara Prasad
Tejaswi Pydimarri
Surya Ramachandran
Sylvian R. Ray
Thomas Redman 0001
Edwin Rodríguez
Judith L. Roe
Jordan Roth
Margaret Rys
Cecil P. Schmidt
Caterina M. Scoglio
Jasjeet S. Sekhon
Lior Shamir
Ajay Sharda
Marissa Shivers
Julie A. Stilson
Shreya Gopal Sundari
Mohammed Tanash
David Tcheng
Tom Theis
Yihong Theis
Maria F. De La Torre
Sebastian Varela
Shilpa A. Vaze
Svitlana Volkova
Mikhail Voloshin
Shangxian Wang
Stephen M. Welch
Michael Welge
Tim Weninger
David C. Wilkins
Jing Xia
Huichen Yang
Ming Yang 0042
Heath Yates
Christopher Zhong
Amy E. Zwarico