Chun-Nan Hsu

112 papers A* 11A 6B 5C 2Misc 6Journal 50Unranked 31
YearRankTypeTitle / Venue / Authors
2025 J jnl
Development and external validation of a multimodal artificial intelligence mortality prediction model of critically ill patients using multicenter data.
CoRR
Behrooz Mamandipoor, Chun-Nan Hsu, Martin Krause, Ulrich H. Schmidt, Rodney A. Gabriel
2025 J jnl
Improving postoperative length of stay forecasting with retrieval-augmented prediction.
J. Am. Medical Informatics Assoc.
Brian H. Park, Chun-Nan Hsu, Austin Nguyen, Ying Q. Zhou, Rodney A. Gabriel
2024 — conf
MiDRED: An Annotated Corpus for Microbiome Knowledge Base Construction.
BioNLP@ACL
William Hogan, Andrew Bartko, Jingbo Shang, Chun-Nan Hsu
2023 A* conf
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion.
AAAI
Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023 J jnl
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion.
CoRR
Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023 A* conf
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation.
EMNLP
Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023 J jnl
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation.
CoRR
Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023 J jnl
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.
CoRR
An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley
2022 J jnl
Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction.
CoRR
Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu
2022 A conf
SPOT: Knowledge-Enhanced Language Representations for Information Extraction.
CIKM
Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu
2022 — conf
Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report.
CLEF (Working Notes)
Xing Lu, An Yan, Eric Y. Chang, Chun-Nan Hsu, Julian J. McAuley, Jiang Du, Amilcare Gentili
2022 B conf
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery.
IJCNN
Canlin Zhang, Chun-Nan Hsu, Yannis Katsis, Ho-Cheol Kim, Yoshiki Vazquez-Baeza
2021 — conf
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction.
AKBC
William Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Vazquez-Baeza, Andrew Bartko, Chun-Nan Hsu
2021 J jnl
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction.
CoRR
William Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Vazquez-Baeza, Andrew Bartko, Chun-Nan Hsu
2021 J jnl
Antibody Watch: Text mining antibody specificity from the literature.
PLoS Comput. Biol.
Chun-Nan Hsu, Chia-Hui Chang, Thamolwan Poopradubsil, Amanda Lo, Karen A. William, Ko-Wei Lin, Anita E. Bandrowski, Ibrahim Burak Özyurt, Jeffrey S. Grethe, Maryann E. Martone
2021 — conf
BLAR: Biomedical Local Acronym Resolver.
BioNLP@NAACL-HLT
William Hogan, Yoshiki Vazquez-Baeza, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Chun-Nan Hsu
2021 J jnl
Increasing metadata coverage of SRA BioSample entries using deep learning-based named entity recognition.
Database J. Biol. Databases Curation
Adam R. Klie, Brian Tsui, Shamim Mollah, Dylan Skola, Michelle Dow, Chun-Nan Hsu, Hannah Carter
2021 — conf
Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNet.
CLEF (Working Notes)
Xing Lu, Eric Y. Chang, Chun-Nan Hsu, Jiang Du, Amilcare Gentili
2021 — conf
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation.
EMNLP (Findings)
An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2021 J jnl
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation.
CoRR
An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2020 J jnl
Antibody Watch: Text Mining Antibody Specificity from the Literature.
CoRR
Chun-Nan Hsu, Chia-Hui Chang, Thamolwan Poopradubsil, Amanda Lo, Karen A. William, Ko-Wei Lin, Anita E. Bandrowski, Ibrahim Burak Özyurt, Jeffrey S. Grethe, Maryann E. Martone
2020 J jnl
Comparing the Use of Research Resource Identifiers and Natural Language Processing for Citation of Databases, Software, and Other Digital Artifacts.
Comput. Sci. Eng.
Chun-Nan Hsu, Anita E. Bandrowski, Tom Gillespie, Jon Udell, Ko-Wei Lin, Ibrahim Burak Özyurt, Jeffrey S. Grethe, Maryann E. Martone
2020 — conf
ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports.
CLEF (Working Notes)
Xing Lu, Eric Y. Chang, Zhaohui Liu, Chun-Nan Hsu, Jiang Du, Amilcare Gentili
2020 — conf
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays.
EMNLP (Findings)
Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley
2020 J jnl
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays.
CoRR
Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley
2020 J jnl
Theoretical Knowledge Graph Reasoning via Ending Anchored Rules.
CoRR
Canlin Zhang, Yannis Katsis, Yoshiki Vazquez-Baeza, Andrew Bartko, Ho-Cheol Kim, Chun-Nan Hsu
2019 — conf
NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction.
AKBC
Dustin Wright, Yannis Katsis, Raghav Mehta, Chun-Nan Hsu
2018 J jnl
Identifying and characterizing highly similar notes in big clinical note datasets.
J. Biomed. Informatics
Rodney A. Gabriel, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu
2018 J jnl
The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool.
CoRR
Tsung-Ting Kuo, Jina Huh, Jihoon Kim, Robert E. El-Kareh, Siddharth Singh, Stephanie Feudjio Feupe, Vincent Kuri, Gordon Lin, Michele E. Day, Lucila Ohno-Machado, Chun-Nan Hsu
2017 J jnl
Assessing value of biomedical digital repositories.
PeerJ Prepr.
Chun-Nan Hsu, Anita E. Bandrowski, Jeffrey S. Grethe, Maryann E. Martone
2017 J jnl
Deduplication in a massive clinical note dataset.
CoRR
Sanjeev Shenoy, Tsung-Ting Kuo, Rodney A. Gabriel, Julian J. McAuley, Chun-Nan Hsu
2017 Misc conf
The presence of highly similar notes within the MIMIC-III dataset.
AMIA
Rodney A. Gabriel, Sanjeev Shenoy, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu
2017 J jnl
bioPDFX: preparing PDF scientific articles for biomedical text mining.
PeerJ Prepr.
Shitij Bhargava, Tsung-Ting Kuo, Ankit Goyal, Vincent Kuri, Gordon Lin, Chun-Nan Hsu
2016 Misc conf
Developing an Electronic Health Record-Based Cohort of Patients with Inflammatory Bowel Diseases for Observational Patient-Centered Outcomes Research.
AMIA
Siddharth Singh, Paulina Paul, Chun-Nan Hsu, Lucila Ohno-Machado
2016 Misc conf
Ensembles of NLP Tools for Data Element Extraction from Clinical Notes.
AMIA
Tsung-Ting Kuo, Pallavi Rao, Cleo K. Maehara, Son Doan, Juan D. Chaparro, Michele E. Day, Claudiu Farcas, Lucila Ohno-Machado, Chun-Nan Hsu
2016 J jnl
Erratum to: Weakly supervised learning of biomedical information extraction from curated data.
BMC Bioinform.
Suvir Jain, Kashyap R. Tumkur, Tsung-Ting Kuo, Shitij Bhargava, Gordon Lin, Chun-Nan Hsu
2016 Misc conf
Natural Language Processing using Kepler Workflow System: First Steps.
ICCS
Ankit Goyal, Alok Singh, Shitij Bhargava, Daniel Crawl, Ilkay Altintas, Chun-Nan Hsu
2016 Misc conf
Review and Evaluation of the State of Standardization of Computable Phenotype.
AMIA
Stephanie Feudjio Feupe, Ko-Wei Lin, Tsung-Ting Kuo, Chun-Nan Hsu, Hyeon-Eui Kim
2016 J jnl
Weakly supervised learning of biomedical information extraction from curated data.
BMC Bioinform.
Suvir Jain, Kashyap R., Tsung-Ting Kuo, Shitij Bhargava, Gordon Lin, Chun-Nan Hsu
2014 — conf
Identifying Transformative Research in Biomedical Sciences.
TAAI
Yi-Hung Huang, Ming-Tat Ko, Chun-Nan Hsu
2013 A* conf
Identifying Transformative Scientific Research.
ICDM
Yi-Hung Huang, Chun-Nan Hsu, Kristina Lerman
2013 — conf
Reconstructing Big Semantic Similarity Networks.
TextGraphs@EMNLP
Ai He, Shefali Sharma, Chun-Nan Hsu
2013 — conf
Robust cell segmentation for schizosaccharomyces pombe images with focus gradient.
ISBI
Jyh-Ying Peng, Yen-Jen Chen, Marc D. Green, Susan L. Forsburg, Chun-Nan Hsu
2012 — conf
Exploring Label Dependency in Active Learning for Phenotype Mapping.
BioNLP@HLT-NAACL
Shefali Sharma, Leslie Lange, José Luis Ambite, Yigal Arens, Chun-Nan Hsu
2012 J jnl
Ranking of multidimensional drug profiling data by fractional-adjusted bi-partitional scores.
Bioinform.
Dorit S. Hochbaum, Chun-Nan Hsu, Yan T. Yang
2012 — conf
Simultaneous Segmentation of Cell and Nucleus in Schizosaccharomyces pombe Images with Focus Gradient.
HISB
Jyh-Ying Peng, Yen-Jen Chen, Marc D. Green, Susan L. Forsburg, Chun-Nan Hsu
2011 J jnl
Automatic Morphological Subtyping Reveals New Roles of Caspases in Mitochondrial Dynamics.
PLoS Comput. Biol.
Jyh-Ying Peng, Chung-Chih Lin, Yen-Jen Chen, Lung-Sen Kao, Young-Chau Liu, Chung-Chien Chou, Yi-Hung Huang, Fang-Rong Chang, Yang-Chang Wu, Yuh-Show Tsai, Chun-Nan Hsu
2011 J jnl
Introduction to special issue on large-scale machine learning.
ACM Trans. Intell. Syst. Technol.
Chun-Nan Hsu
2011 — conf
Learning Phenotype Mapping for Integrating Large Genetic Data.
BioNLP@ACL
Chun-Nan Hsu, Cheng-Ju Kuo, Congxing Cai, Sarah A. Pendergrass, Marylyn D. Ritchie, José Luis Ambite
2011 C conf
Preface.
ACML
Chun-Nan Hsu, Wee Sun Lee
2011 C ed.
Proceedings of the 3rd Asian Conference on Machine Learning, ACML 2011, Taoyuan, Taiwan, November 13-15, 2011
ACML
Chun-Nan Hsu, Wee Sun Lee
2011 J jnl
Soft tagging of overlapping high confidence gene mention variants for cross-species full-text gene normalization.
BMC Bioinform.
Cheng-Ju Kuo, Maurice H. T. Ling, Chun-Nan Hsu
2011 J jnl
The gene normalization task in BioCreative III.
BMC Bioinform.
Zhiyong Lu, Hung-Yu Kao, Chih-Hsuan Wei, Minlie Huang, Jingchen Liu, Cheng-Ju Kuo, Chun-Nan Hsu, Richard Tzong-Han Tsai, Hong-Jie Dai, Naoaki Okazaki, Han-Cheol Cho, Martin Gerner, Illés Solt, Shashank Agarwal, Feifan Liu, Dina Vishnyakova, Patrick Ruch, Martin Romacker, Fabio Rinaldi, Sanmitra Bhattacharya, Padmini Srinivasan, Hongfang Liu, Manabu Torii, Sérgio Matos, David Campos, Karin Verspoor, Kevin M. Livingston, W. John Wilbur
2011 — conf
Time-Aware Ranking in Dynamic Citation Networks.
ICDM Workshops
Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, Kristina Lerman
2011 J jnl
UMARS: Un-MAppable Reads Solution.
BMC Bioinform.
Sung-Chou Li, Wen-Ching Chan, Chun-Hung Lai, Kuo-Wang Tsai, Chun-Nan Hsu, Yuh-Shan Jou, Hua-Chien Chen, Chun-Hong Chen, Wen-Chang Lin
2010 J jnl
A spectral graph theoretic approach to quantification and calibration of collective morphological differences in cell images.
Bioinform.
Yu-Shi Lin, Chung-Chih Lin, Yuh-Show Tsai, Tien-Chuan Ku, Yi-Hung Huang, Chun-Nan Hsu
2010 J jnl
Fusion of systems for automated cell phenotype image classification.
Expert Syst. Appl.
Loris Nanni, Alessandra Lumini, Yu-Shi Lin, Chun-Nan Hsu, Chung-Chih Lin
2010 J jnl
Learning to predict expression efficacy of vectors in recombinant protein production.
BMC Bioinform.
Wen-Ching Chan, Po-Huang Liang, Yan-Ping Shih, Ueng-Cheng Yang, Wen-Chang Lin, Chun-Nan Hsu
2009 Misc conf
Accelerating EM by targeted aggressive double extrapolation.
ICASSP
Han-Shen Huang, Bo-Hou Yang, Ren-yuan Lyu, Chun-Nan Hsu
2009 J jnl
BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literature.
BMC Bioinform.
Cheng-Ju Kuo, Maurice H. T. Ling, Kuan-Ting Lin, Chun-Nan Hsu
2009 — conf
Feature Space Transformation for Semi-Supervised Learning for Protein Subcellular Localization in Fluorescence Microscopy Images.
ISBI
Yu-Shi Lin, Yi-Hung Huang, Chung-Chih Lin, Chun-Nan Hsu
2009 J jnl
Global and componentwise extrapolations for accelerating training of Bayesian networks and conditional random fields.
Data Min. Knowl. Discov.
Han-Shen Huang, Bo-Hou Yang, Yu-Ming Chang, Chun-Nan Hsu
2009 — conf
Periodic Step Size Adaptation for Single Pass On-line Learning.
NIPS
Chun-Nan Hsu, Yu-Ming Chang, Han-Shen Huang, Yuh-Jye Lee
2009 J jnl
Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning.
Mach. Learn.
Chun-Nan Hsu, Han-Shen Huang, Yu-Ming Chang, Yuh-Jye Lee
2009 A* conf
Workshop summary: Automated interpretation and modelling of cell images.
ICML
Robert F. Murphy, Chun-Nan Hsu, Loris Nanni
2008 J jnl
Cross-lingual audio-to-text alignment for multimedia content management.
Decis. Support Syst.
Dau-Cheng Lyu, Ren-yuan Lyu, Yuang-Chin Chiang, Chun-Nan Hsu
2008 A conf
Integrating high dimensional bi-directional parsing models for gene mention tagging.
ISMB
Chun-Nan Hsu, Yu-Ming Chang, Cheng-Ju Kuo, Yu-Shi Lin, Han-Shen Huang, I-Fang Chung
2007 — conf
Analysis and Enhancement of Conditional Random Fields Gene Mention Taggers in BioCreative II Challenge Evaluation.
LBM (Short Papers)
Yu-Ming Chang, Cheng-Ju Kuo, Han-Shen Huang, Yu-Shi Lin, Chun-Nan Hsu
2007 J jnl
Boosting multiclass learning with repeating codes and weak detectors for protein subcellular localization.
Bioinform.
Chung-Chih Lin, Yuh-Show Tsai, Yu-Shi Lin, Tai-Yu Chiu, Chia-Cheng Hsiung, May-I Lee, Jeremy C. Simpson, Chun-Nan Hsu
2007 J jnl
Detection of the inferred interaction network in hepatocellular carcinoma from EHCO (Encyclopedia of Hepatocellular Carcinoma genes Online).
BMC Bioinform.
Chun-Nan Hsu, Jin-Mei Lai, Chia-Hung Liu, Huei-Hun Tseng, Chih-Yun Lin, Kuan-Ting Lin, Hsu-Hua Yeh, Ting-Yi Sung, Wen-Lian Hsu, Li-Jen Su, Sheng-An Lee, Chang-Han Chen, Gen-Cher Lee, D. T. Lee, Yow-Ling Shiue, Chang-Wei Yeh, Chao-Hui Chang, Cheng-Yan Kao, Chi-Ying F. Huang
2007 — conf
Gene Name Service: No-Nonsense Alias Resolution Service for Homo Sapiens Genes.
Web Intelligence/IAT Workshops
Kuan-Ting Lin, Chia-Hung Liu, Jen-Jie Chiou, Wen-Hsien Tseng, Kuang-Lung Lin, Chun-Nan Hsu
2007 A* conf
Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining.
ICDM
Han-Shen Huang, Yu-Ming Chang, Chun-Nan Hsu
2007 — conf
多語聲學單位分類之最佳化研究 (The Study of Acoustic Model Clustering in Multilingual Speech Recognition) [In Chinese].
ROCLING
Dau-Cheng Lyu, Ren-yuan Lyu, Yung-Jien Chiang, Chun-Nan Hsu
2006 J jnl
FASTSNP: an always up-to-date and extendable service for SNP function analysis and prioritization.
Nucleic Acids Res.
Hsiang-Yu Yuan, Jen-Jie Chiou, Wen-Hsien Tseng, Chia-Hung Liu, Chuan-Kun Liu, Yi-Jung Lin, Hui-Hung Wang, Adam Yao, Yuan-Tsong Chen, Chun-Nan Hsu
2006 A* conf
Global and Componentwise Extrapolation for Accelerating Data Mining from Large Incomplete Data Sets with the EM Algorithm.
ICDM
Chun-Nan Hsu, Han-Shen Huang, Bo-Hou Yang
2006 — conf
Language Identification by Using Syllable-Based Duration Classification on Code-Switching Speech.
ISCSLP (Selected Papers)
Dau-Cheng Lyu, Ren-yuan Lyu, Yuang-Chin Chiang, Chun-Nan Hsu
2006 — conf
Speech Recognition on Code-Switching Among the Chinese Dialects.
ICASSP (1)
Dau-Cheng Lyu, Ren-yuan Lyu, Yuang-Chin Chiang, Chun-Nan Hsu
2005 B conf
A Recommender for Targeted Advertisement of Unsought Products in E-Commerce.
CEC
Koung-Lung Lin, Jane Yung-jen Hsu, Han-Shen Huang, Chun-Nan Hsu
2005 J jnl
Modeling Pronunciation Variation for Bi-Lingual Mandarin/Taiwanese Speech Recognition.
Int. J. Comput. Linguistics Chin. Lang. Process.
Dau-Cheng Lyu, Ren-yuan Lyu, Yuang-Chin Chiang, Chun-Nan Hsu
2005 J jnl
Reconfigurable Web wrapper agents for biological information integration.
J. Assoc. Inf. Sci. Technol.
Chun-Nan Hsu, Chia-Hui Chang, Chang-Huain Hsieh, Jiann-Jyh Lu, Chien-Chi Chang
2005 A* conf
Triple Jump Acceleration for the EM Algorithm.
ICDM
Han-Shen Huang, Bou-Ho Yang, Chun-Nan Hsu
2004 A conf
A unified framework for large vocabulary speech recognition of mutually unintelligible Chinese "regionalects".
INTERSPEECH
Ren-yuan Lyu, Dau-Cheng Lyu, Min-Siong Liang, Min-Hong Wang, Yuang-Chin Chiang, Chun-Nan Hsu
2004 J jnl
Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation.
Mach. Learn.
Chun-Nan Hsu, Hao-Hsiang Chung, Han-Shen Huang
2004 — conf
華台雙語發音變異性之語音辨識研究及PDA之應用 (The study of pronunciation variations in Mandarin and Taiwanese and its application in PDA) [In Chinese].
ROCLING
Dau-Cheng Lyu, Hong-Wen Hsien, Yung-Xian Lee, Zhong-Ing Liou, Chun-Nan Hsu, Yung-Jien Chiang, Ren-yuan Lyu
2003 J jnl
Automatic information extraction from semi-structured Web pages by pattern discovery.
Decis. Support Syst.
Chia-Hui Chang, Chun-Nan Hsu, Shao-Chen Lui
2003 J jnl
Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers.
Mach. Learn.
Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong
2003 A conf
Large vocabulary taiwanese (min-nan) speech recognition using tone features and statistical pronunciation modeling.
INTERSPEECH
Dau-Cheng Lyu, Min-Siong Liang, Yuang-Chin Chiang, Chun-Nan Hsu, Ren-yuan Lyu
2003 — conf
Query Answering Using Ontologies in Agent-based Resource Sharing Environment for Biological Web Information Integrating.
IIWeb
Jiann-Jyh Lu, Chun-Nan Hsu
2003 — conf
Reconfigurable Web Wrapper Agents for Web Information Integration.
IIWeb
Chun-Nan Hsu, Chia-Hui Chang, Harianto Siek, Jiann-Jyh Lu, Jen-Jie Chiou
2003 J jnl
Reconfigurable Web Wrapper Agents.
IEEE Intell. Syst.
Chia-Hui Chang, Harianto Siek, Jiann-Jyh Lu, Chun-Nan Hsu, Jen-Jie Chiou
2003 — conf
Speaker verification without background speaker models.
ICASSP (2)
Chun-Nan Hsu, Hau-Chung Yu, Bo-Hou Yang
2003 A* conf
The Hybrid Poisson Aspect Model for Personalized Shopping Recommendation.
ICDM
Chun-Nan Hsu, Hao-Hsiang Chung, Han-Shen Huang
2003 J jnl
View Inference for Heterogeneous XML Information Integration.
J. Intell. Inf. Syst.
Euna Jeong, Chun-Nan Hsu
2002 J jnl
Bayesian classification for data from the same unknown class.
IEEE Trans. Syst. Man Cybern. Part B
Hung-Ju Huang, Chun-Nan Hsu
2002 B conf
Recognizing 100 Speakers Using Homologous Naive Bayes.
PRICAI
Hung-Ju Huang, Chun-Nan Hsu
2002 J jnl
The ANNIGMA-wrapper approach to fast feature selection for neural nets.
IEEE Trans. Syst. Man Cybern. Part B
Chun-Nan Hsu, Hung-Ju Huang, Dietrich Schuschel
2001 A conf
Induction of Integrated View for XML Data with Heterogeneous DTDs.
CIKM
Euna Jeong, Chun-Nan Hsu
2000 — conf
Ontology Integration in XML.
AAAI/IAAI
Euna Jeong, Chun-Nan Hsu
2000 — conf
Ontology Integration in XML.
AAAI
Euna Jeong, Chun-Nan Hsu
2000 J jnl
Semantic Query Optimization for Query Plans of Heterogeneous Multidatabase Systems.
IEEE Trans. Knowl. Data Eng.
Chun-Nan Hsu, Craig A. Knoblock
2000 A* conf
Why Discretization Works for Naive Bayesian Classifiers.
ICML
Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong
1998 B conf
A weight analysis-based wrapper approach to neural nets feature subset selection.
ICTAI
Dietrich Schuschel, Chun-Nan Hsu
1998 J jnl
Discovering Robust Knowledge from Databases that Change.
Data Min. Knowl. Discov.
Chun-Nan Hsu, Craig A. Knoblock
1998 J jnl
Generating Finite-State Transducers for Semi-Structured Data Extraction from the Web.
Inf. Syst.
Chun-Nan Hsu, Ming-Tzung Dung
1996 — conf
Discovering Robust Knowledge from Dynamic Closed World Data.
AAAI/IAAI, Vol. 1
Chun-Nan Hsu, Craig A. Knoblock
1996 — ch.
Using Inductive Learning To Generate Rules for Semantic Query Optimization.
Advances in Knowledge Discovery and Data Mining
Chun-Nan Hsu, Craig A. Knoblock
1995 A* conf
Estimating the Robustness of Discovered Knowledge.
KDD
Chun-Nan Hsu, Craig A. Knoblock
1994 B conf
Cooperating Agents for Information Retrieval.
CoopIS
Craig A. Knoblock, Yigal Arens, Chun-Nan Hsu
1994 A* conf
Rule Induction for Semantic Query Optimization.
ICML
Chun-Nan Hsu, Craig A. Knoblock
1994 — conf
Rule Induction for Semantic Query Optimization.
KDD Workshop
Chun-Nan Hsu, Craig A. Knoblock
1993 A conf
Reformulating Query Plans for Multidatabase Systems.
CIKM
Chun-Nan Hsu, Craig A. Knoblock
1993 J jnl
Retrieving and Integrating Data from Multiple Information Sources.
Int. J. Cooperative Inf. Syst.
Yigal Arens, Chin Y. Chee, Chun-Nan Hsu, Craig A. Knoblock