Reformulating Query Plans for Multidatabase Systems. - Chun-Nan Hsu; Craig A. Knoblock (CIKM, 1993)

Retrieving and Integrating Data from Multiple Information Sources. - Yigal Arens; Chin Y. Chee; Chun-Nan Hsu; Craig A. Knoblock (Int. J. Cooperative Inf. Syst., 1993)

Cooperating Agents for Information Retrieval. - Craig A. Knoblock; Yigal Arens; Chun-Nan Hsu (CoopIS, 1994)

Rule Induction for Semantic Query Optimization. - Chun-Nan Hsu; Craig A. Knoblock (ICML, 1994)

Estimating the Robustness of Discovered Knowledge. - Chun-Nan Hsu; Craig A. Knoblock (KDD, 1995)

Using Inductive Learning To Generate Rules for Semantic Query Optimization. - Chun-Nan Hsu; Craig A. Knoblock (Advances in Knowledge Discovery and Data Mining, 1996)

Discovering Robust Knowledge from Dynamic Closed World Data. - Chun-Nan Hsu; Craig A. Knoblock (AAAI/IAAI, Vol. 1, 1996)

A weight analysis-based wrapper approach to neural nets feature subset selection. - Dietrich Schuschel; Chun-Nan Hsu (ICTAI, 1998)

Discovering Robust Knowledge from Databases that Change. - Chun-Nan Hsu; Craig A. Knoblock (Data Min. Knowl. Discov., 1998)

Generating Finite-State Transducers for Semi-Structured Data Extraction from the Web. - Chun-Nan Hsu; Ming-Tzung Dung (Inf. Syst., 1998)

Ontology Integration in XML. - Euna Jeong; Chun-Nan Hsu (AAAI, 2000)

Why Discretization Works for Naive Bayesian Classifiers. - Chun-Nan Hsu; Hung-Ju Huang; Tzu-Tsung Wong (ICML, 2000)

Semantic Query Optimization for Query Plans of Heterogeneous Multidatabase Systems. - Chun-Nan Hsu; Craig A. Knoblock (IEEE Trans. Knowl. Data Eng., 2000)

Induction of Integrated View for XML Data with Heterogeneous DTDs. - Euna Jeong; Chun-Nan Hsu (CIKM, 2001)

Recognizing 100 Speakers Using Homologous Naive Bayes. - Hung-Ju Huang; Chun-Nan Hsu (PRICAI, 2002)

The ANNIGMA-wrapper approach to fast feature selection for neural nets. - Chun-Nan Hsu; Hung-Ju Huang; Dietrich Schuschel (IEEE Trans. Syst. Man Cybern. Part B, 2002)

Bayesian classification for data from the same unknown class. - Hung-Ju Huang; Chun-Nan Hsu (IEEE Trans. Syst. Man Cybern. Part B, 2002)

Speaker verification without background speaker models. - Chun-Nan Hsu; Hau-Chung Yu; Bo-Hou Yang (ICASSP (2), 2003)

The Hybrid Poisson Aspect Model for Personalized Shopping Recommendation. - Chun-Nan Hsu; Hao-Hsiang Chung; Han-Shen Huang (ICDM, 2003)

Reconfigurable Web Wrapper Agents for Web Information Integration. - Chun-Nan Hsu; Chia-Hui Chang; Harianto Siek; Jiann-Jyh Lu; Jen-Jie Chiou (IIWeb, 2003)

Query Answering Using Ontologies in Agent-based Resource Sharing Environment for Biological Web Information Integrating. - Jiann-Jyh Lu; Chun-Nan Hsu (IIWeb, 2003)

Large vocabulary taiwanese (min-nan) speech recognition using tone features and statistical pronunciation modeling. - Dau-Cheng Lyu; Min-Siong Liang; Yuang-Chin Chiang; Chun-Nan Hsu; Ren-Yuan Lyu (INTERSPEECH, 2003)

Automatic information extraction from semi-structured Web pages by pattern discovery. - Chia-Hui Chang; Chun-Nan Hsu; Shao-Chen Lui (Decis. Support Syst., 2003)

Reconfigurable Web Wrapper Agents. - Chia-Hui Chang; Harianto Siek; Jiann-Jyh Lu; Chun-Nan Hsu; Jen-Jie Chiou (IEEE Intell. Syst., 2003)

View Inference for Heterogeneous XML Information Integration. - Euna Jeong; Chun-Nan Hsu (J. Intell. Inf. Syst., 2003)

Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers. - Chun-Nan Hsu; Hung-Ju Huang; Tzu-Tsung Wong (Mach. Learn., 2003)

A unified framework for large vocabulary speech recognition of mutually unintelligible Chinese "regionalects". - Ren-Yuan Lyu; Dau-Cheng Lyu; Min-Siong Liang; Min-Hong Wang; Yuang-Chin Chiang; Chun-Nan Hsu (INTERSPEECH, 2004)

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]. - Dau-Cheng Lyu; Hong-Wen Hsien; Yung-Xian Lee; Zhong-Ing Liou; Chun-Nan Hsu; Yung-Jien Chiang; Ren-Yuan Lyu (ROCLING, 2004)

Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation. - Chun-Nan Hsu; Hao-Hsiang Chung; Han-Shen Huang (Mach. Learn., 2004)

Triple Jump Acceleration for the EM Algorithm. - Han-Shen Huang; Bou-Ho Yang; Chun-Nan Hsu (ICDM, 2005)

A Recommender for Targeted Advertisement of Unsought Products in E-Commerce. - Koung-Lung Lin; Jane Yung-jen Hsu; Han-Shen Huang; Chun-Nan Hsu (CEC, 2005)

Modeling Pronunciation Variation for Bi-Lingual Mandarin/Taiwanese Speech Recognition. - Dau-Cheng Lyu; Ren-Yuan Lyu; Yuang-Chin Chiang; Chun-Nan Hsu (Int. J. Comput. Linguistics Chin. Lang. Process., 2005)

Reconfigurable Web wrapper agents for biological information integration. - Chun-Nan Hsu; Chia-Hui Chang; Chang-Huain Hsieh; Jiann-Jyh Lu; Chien-Chi Chang (J. Assoc. Inf. Sci. Technol., 2005)

Speech Recognition on Code-Switching Among the Chinese Dialects. - Dau-Cheng Lyu; Ren-Yuan Lyu; Yuang-Chin Chiang; Chun-Nan Hsu (ICASSP (1), 2006)

Global and Componentwise Extrapolation for Accelerating Data Mining from Large Incomplete Data Sets with the EM Algorithm. - Chun-Nan Hsu; Han-Shen Huang; Bo-Hou Yang (ICDM, 2006)

Language Identification by Using Syllable-Based Duration Classification on Code-Switching Speech. - Dau-Cheng Lyu; Ren-Yuan Lyu; Yuang-Chin Chiang; Chun-Nan Hsu (ISCSLP (Selected Papers), 2006)

FASTSNP: an always up-to-date and extendable service for SNP function analysis and prioritization. - 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 (Nucleic Acids Res., 2006)

Gene Name Service: No-Nonsense Alias Resolution Service for Homo Sapiens Genes. - Kuan-Ting Lin; Chia-Hung Liu; Jen-Jie Chiou; Wen-Hsien Tseng; Kuang-Lung Lin; Chun-Nan Hsu (Web Intelligence/IAT Workshops, 2007)

Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining. - Han-Shen Huang; Yu-Ming Chang; Chun-Nan Hsu (ICDM, 2007)

Analysis and Enhancement of Conditional Random Fields Gene Mention Taggers in BioCreative II Challenge Evaluation. - Yu-Ming Chang; Cheng-Ju Kuo; Han-Shen Huang; Yu-Shi Lin; Chun-Nan Hsu (LBM (Short Papers), 2007)

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]. - Dau-Cheng Lyu; Ren-Yuan Lyu; Yung-Jien Chiang; Chun-Nan Hsu (ROCLING, 2007)

Boosting multiclass learning with repeating codes and weak detectors for protein subcellular localization. - Chung-Chih Lin; Yuh-Show Tsai; Yu-Shi Lin; Tai-Yu Chiu; Chia-Cheng Hsiung; May-I Lee; Jeremy C. Simpson; Chun-Nan Hsu (Bioinform., 2007)

Detection of the inferred interaction network in hepatocellular carcinoma from EHCO (Encyclopedia of Hepatocellular Carcinoma genes Online). - 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; et al. (BMC Bioinform., 2007)

Integrating high dimensional bi-directional parsing models for gene mention tagging. - Chun-Nan Hsu; Yu-Ming Chang; Cheng-Ju Kuo; Yu-Shi Lin; Han-Shen Huang; I-Fang Chung (ISMB, 2008)

Cross-lingual audio-to-text alignment for multimedia content management. - Dau-Cheng Lyu; Ren-Yuan Lyu; Yuang-Chin Chiang; Chun-Nan Hsu (Decis. Support Syst., 2008)

Accelerating EM by targeted aggressive double extrapolation. - Han-Shen Huang; Bo-Hou Yang; Ren-Yuan Lyu; Chun-Nan Hsu (ICASSP, 2009)

Workshop summary: Automated interpretation and modelling of cell images. - Robert F. Murphy; Chun-Nan Hsu; Loris Nanni (ICML, 2009)

Feature Space Transformation for Semi-Supervised Learning for Protein Subcellular Localization in Fluorescence Microscopy Images. - Yu-Shi Lin; Yi-Hung Huang; Chung-Chih Lin; Chun-Nan Hsu (ISBI, 2009)

Periodic Step Size Adaptation for Single Pass On-line Learning. - Chun-Nan Hsu; Yu-Ming Chang; Han-Shen Huang; Yuh-Jye Lee (NIPS, 2009)

BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literature. - Cheng-Ju Kuo; Maurice H. T. Ling; Kuan-Ting Lin; Chun-Nan Hsu (BMC Bioinform., 2009)

Global and componentwise extrapolations for accelerating training of Bayesian networks and conditional random fields. - Han-Shen Huang; Bo-Hou Yang; Yu-Ming Chang; Chun-Nan Hsu (Data Min. Knowl. Discov., 2009)

Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning. - Chun-Nan Hsu; Han-Shen Huang; Yu-Ming Chang; Yuh-Jye Lee (Mach. Learn., 2009)

A spectral graph theoretic approach to quantification and calibration of collective morphological differences in cell images. - Yu-Shi Lin; Chung-Chih Lin; Yuh-Show Tsai; Tien-Chuan Ku; Yi-Hung Huang; Chun-Nan Hsu (Bioinform., 2010)

Learning to predict expression efficacy of vectors in recombinant protein production. - Wen-Ching Chan; Po-Huang Liang; Yan-Ping Shih; Ueng-Cheng Yang; Wen-Chang Lin; Chun-Nan Hsu (BMC Bioinform., 2010)

Fusion of systems for automated cell phenotype image classification. - Loris Nanni; Alessandra Lumini; Yu-Shi Lin; Chun-Nan Hsu; Chung-Chih Lin (Expert Syst. Appl., 2010)

Learning Phenotype Mapping for Integrating Large Genetic Data. - Chun-Nan Hsu; Cheng-Ju Kuo; Congxing Cai; Sarah A. Pendergrass; Marylyn D. Ritchie; José Luis Ambite (BioNLP@ACL, 2011)

Time-Aware Ranking in Dynamic Citation Networks. - Rumi Ghosh; Tsung-Ting Kuo; Chun-Nan Hsu; Shou-De Lin; Kristina Lerman (ICDM Workshops, 2011)

Soft tagging of overlapping high confidence gene mention variants for cross-species full-text gene normalization. - Cheng-Ju Kuo; Maurice H. T. Ling; Chun-Nan Hsu (BMC Bioinform., 2011)

UMARS: Un-MAppable Reads Solution. - 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 (BMC Bioinform., 2011)

The gene normalization task in BioCreative III. - 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; et al. (BMC Bioinform., 2011)

Preface. - Chun-Nan Hsu; Wee Sun Lee (ACML, 2011)

Automatic Morphological Subtyping Reveals New Roles of Caspases in Mitochondrial Dynamics. - 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 (PLoS Comput. Biol., 2011)

Introduction to special issue on large-scale machine learning. - Chun-Nan Hsu (ACM Trans. Intell. Syst. Technol., 2011)

Exploring Label Dependency in Active Learning for Phenotype Mapping. - Shefali Sharma; Leslie Lange; José Luis Ambite; Yigal Arens; Chun-Nan Hsu (BioNLP@HLT-NAACL, 2012)

Simultaneous Segmentation of Cell and Nucleus in Schizosaccharomyces pombe Images with Focus Gradient. - Jyh-Ying Peng; Yen-Jen Chen; Marc D. Green; Susan L. Forsburg; Chun-Nan Hsu (HISB, 2012)

Ranking of multidimensional drug profiling data by fractional-adjusted bi-partitional scores. - Dorit S. Hochbaum; Chun-Nan Hsu; Yan T. Yang (Bioinform., 2012)

Identifying Transformative Scientific Research. - Yi-Hung Huang; Chun-Nan Hsu; Kristina Lerman (ICDM, 2013)

Robust cell segmentation for schizosaccharomyces pombe images with focus gradient. - Jyh-Ying Peng; Yen-Jen Chen; Marc D. Green; Susan L. Forsburg; Chun-Nan Hsu (ISBI, 2013)

Reconstructing Big Semantic Similarity Networks. - Ai He; Shefali Sharma; Chun-Nan Hsu (TextGraphs@EMNLP, 2013)

Identifying Transformative Research in Biomedical Sciences. - Yi-Hung Huang; Ming-Tat Ko; Chun-Nan Hsu (TAAI, 2014)

Review and Evaluation of the State of Standardization of Computable Phenotype. - Stephanie Feudjio Feupe; Ko-Wei Lin; Tsung-Ting Kuo; Chun-Nan Hsu; Hyeon-Eui Kim (AMIA, 2016)

Ensembles of NLP Tools for Data Element Extraction from Clinical Notes. - Tsung-Ting Kuo; Pallavi Rao; Cleo K. Maehara; Son Doan; Juan D. Chaparro; Michele E. Day; Claudiu Farcas; Lucila Ohno-Machado; Chun-Nan Hsu (AMIA, 2016)

Developing an Electronic Health Record-Based Cohort of Patients with Inflammatory Bowel Diseases for Observational Patient-Centered Outcomes Research. - Siddharth Singh; Paulina Paul; Chun-Nan Hsu; Lucila Ohno-Machado (AMIA, 2016)

Natural Language Processing using Kepler Workflow System: First Steps. - Ankit Goyal 002; Alok Singh 004; Shitij Bhargava; Daniel Crawl; Ilkay Altintas; Chun-Nan Hsu (ICCS, 2016)

Weakly supervised learning of biomedical information extraction from curated data. - Suvir Jain; Kashyap R.; Tsung-Ting Kuo; Shitij Bhargava; Gordon Lin; Chun-Nan Hsu (BMC Bioinform., 2016)

Erratum to: Weakly supervised learning of biomedical information extraction from curated data. - Suvir Jain; Kashyap R. Tumkur; Tsung-Ting Kuo; Shitij Bhargava; Gordon Lin; Chun-Nan Hsu (BMC Bioinform., 2016)

The presence of highly similar notes within the MIMIC-III dataset. - Rodney A. Gabriel; Sanjeev Shenoy; Tsung-Ting Kuo; Julian J. McAuley; Chun-Nan Hsu (AMIA, 2017)

Deduplication in a massive clinical note dataset. - Sanjeev Shenoy; Tsung-Ting Kuo; Rodney A. Gabriel; Julian J. McAuley; Chun-Nan Hsu (CoRR, 2017)

bioPDFX: preparing PDF scientific articles for biomedical text mining. - Shitij Bhargava; Tsung-Ting Kuo; Ankit Goyal 002; Vincent Kuri; Gordon Lin; Chun-Nan Hsu (PeerJ Prepr., 2017)

Assessing value of biomedical digital repositories. - Chun-Nan Hsu; Anita E. Bandrowski; Jeffrey S. Grethe; Maryann E. Martone (PeerJ Prepr., 2017)

The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool. - Tsung-Ting Kuo; Jina Huh; Jihoon Kim 001; Robert E. El-Kareh; Siddharth Singh; Stephanie Feudjio Feupe; Vincent Kuri; Gordon Lin; Michele E. Day; Lucila Ohno-Machado; Chun-Nan Hsu (CoRR, 2018)

Identifying and characterizing highly similar notes in big clinical note datasets. - Rodney A. Gabriel; Tsung-Ting Kuo; Julian J. McAuley; Chun-Nan Hsu (J. Biomed. Informatics, 2018)

NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction. - Dustin Wright 002; Yannis Katsis; Raghav Mehta; Chun-Nan Hsu (AKBC, 2019)

ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports. - Xing Lu; Eric Y. Chang; Zhaohui Liu; Chun-Nan Hsu; Jiang Du; Amilcare Gentili (CLEF (Working Notes), 2020)

Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. - Jianmo Ni; Chun-Nan Hsu; Amilcare Gentili; Julian J. McAuley (EMNLP (Findings), 2020)

Theoretical Knowledge Graph Reasoning via Ending Anchored Rules. - Canlin Zhang; Yannis Katsis; Yoshiki Vazquez-Baeza; Andrew Bartko; Ho-Cheol Kim; Chun-Nan Hsu (CoRR, 2020)

Comparing the Use of Research Resource Identifiers and Natural Language Processing for Citation of Databases, Software, and Other Digital Artifacts. - Chun-Nan Hsu; Anita E. Bandrowski; Tom Gillespie; Jon Udell; Ko-Wei Lin; Ibrahim Burak Özyurt; Jeffrey S. Grethe; Maryann E. Martone (Comput. Sci. Eng., 2020)

Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction. - William Hogan; Molly Huang; Yannis Katsis; Tyler Baldwin; Ho-Cheol Kim; Yoshiki Vazquez-Baeza; Andrew Bartko; Chun-Nan Hsu (AKBC, 2021)

BLAR: Biomedical Local Acronym Resolver. - William Hogan; Yoshiki Vazquez-Baeza; Yannis Katsis; Tyler Baldwin; Ho-Cheol Kim; Chun-Nan Hsu (BioNLP@NAACL-HLT, 2021)

Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNet. - Xing Lu; Eric Y. Chang; Chun-Nan Hsu; Jiang Du; Amilcare Gentili (CLEF (Working Notes), 2021)

Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. - An Yan 003; Zexue He; Xing Lu; Jiang Du; Eric Y. Chang; Amilcare Gentili; Julian J. McAuley; Chun-Nan Hsu (EMNLP (Findings), 2021)

Increasing metadata coverage of SRA BioSample entries using deep learning-based named entity recognition. - Adam R. Klie; Brian Tsui; Shamim Mollah; Dylan Skola; Michelle Dow; Chun-Nan Hsu; Hannah Carter (Database J. Biol. Databases Curation, 2021)

Antibody Watch: Text mining antibody specificity from the literature. - 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 (PLoS Comput. Biol., 2021)

SPOT: Knowledge-Enhanced Language Representations for Information Extraction. - Jiacheng Li 003; Yannis Katsis; Tyler Baldwin; Ho-Cheol Kim; Andrew Bartko; Julian J. McAuley; Chun-Nan Hsu (CIKM, 2022)

Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report. - Xing Lu; An Yan 003; Eric Y. Chang; Chun-Nan Hsu; Julian J. McAuley; Jiang Du; Amilcare Gentili (CLEF (Working Notes), 2022)

Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery. - Canlin Zhang; Chun-Nan Hsu; Yannis Katsis; Ho-Cheol Kim; Yoshiki Vazquez-Baeza (IJCNN, 2022)

Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction. - Jiacheng Li 003; Yannis Katsis; Tyler Baldwin; Ho-Cheol Kim; Andrew Bartko; Julian J. McAuley; Chun-Nan Hsu (CoRR, 2022)

"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. - Zexue He; An Yan 003; Amilcare Gentili; Julian J. McAuley; Chun-Nan Hsu (AAAI, 2023)

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. - Zexue He; Yu Wang 170; An Yan 003; Yao Liu 017; Eric Y. Chang; Amilcare Gentili; Julian J. McAuley; Chun-Nan Hsu (EMNLP, 2023)

Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. - An Yan 003; Yu Wang 170; Yiwu Zhong; Zexue He; Petros Karypis; Zihan Wang 001; Chengyu Dong; Amilcare Gentili; Chun-Nan Hsu; Jingbo Shang; Julian J. McAuley (CoRR, 2023)

MiDRED: An Annotated Corpus for Microbiome Knowledge Base Construction. - William Hogan; Andrew Bartko; Jingbo Shang; Chun-Nan Hsu (BioNLP@ACL, 2024)