University of Southern California
ISI Site Signature

University of Southern California


Chun-Nan Hsu
 
 
  2012 (5)
Simultaneous Segmentation of Cell and Nucleus in Schizosaccharomyces pombe Images with Focus Gradient. Peng, J.; Chen, Y.; Green, M. D.; Forsburg, S. L.; and Hsu, C. In Healthcare Informatics, Imaging and Systems Biology (HISB), 2012 IEEE Second International Conference on, pages 116, sept. 2012.
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A nu-support vector regression based approach for predicting imputation quality. Huang, Y.; Rice, J.; Saccone, S.; Ambite, J.; Arens, Y.; Tischfield, J.; and Hsu, C. BMC Proceedings, 6(Suppl 7): S3. 2012.
A nu-support vector regression based approach for predicting imputation quality [link]Paper   doi   bibtex
Ranking of multidimensional drug profiling data by fractional-adjusted bi-partitional scores. Hochbaum, D. S.; Hsu, C.; and Yang, Y. T. Bioinformatics, 28(12): i106-i114. 2012.
Ranking of multidimensional drug profiling data by fractional-adjusted bi-partitional scores [link]Paper   doi   bibtex   2 downloads
Exploring Label Dependency in Active Learning for Phenotype Mapping. Sharma, S.; Lange, L.; Ambite, J. L.; Arens, Y.; and Hsu, C. In BioNLP: Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, pages 146--154, Montréal, Canada, June 2012. Association for Computational Linguistics
Exploring Label Dependency in Active Learning for Phenotype Mapping [link]Paper   bibtex
MetaMirClust: Discovery of miRNA cluster patterns using a data-mining approach. Chan, W.; Ho, M.; Li, S.; Tsai, K.; Lai, C.; Hsu, C.; and Lin, W. Genomics, 100(3): 141 - 148. 2012.
MetaMirClust: Discovery of miRNA cluster patterns using a data-mining approach [link]Paper   doi   bibtex
  2011 (11)
Introduction to special issue on large-scale machine learning. Hsu, C. ACM transactions on intelligent systems and technology (TIST), 2(3): 25. 2011.
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Learning phenotype mapping for integrating large genetic data. Hsu, C.; Kuo, C.; Cai, C.; Pendergrass, S. A.; Ritchie, M. D.; and Ambite, J. L. In Proceedings of BioNLP 2011 Workshop, of BioNLP '11, pages 19--27, Stroudsburg, PA, USA, 2011. Association for Computational Linguistics
Learning phenotype mapping for integrating large genetic data [link]Paper   bibtex
Soft tagging of overlapping high confidence gene mention variants for cross-species full-text gene normalization. Kuo, C.; Ling, M.; and Hsu, C. BMC Bioinformatics, 12(Suppl 8): S6. 2011.
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UMARS:Un-MAppable Reads Solution. Li, S.; Chan, W.; Lai, C.; Tsai, K.; Hsu, C.; Jou, Y.; Chen, H.; Chen, C.; and Lin, W. BMC Bioinformatics, 12(Suppl 1): S9. 2011. Selected articles from The Ninth Asia Pacific Bioinformatics Conference (APBC 2011) Inchon, Korea. 11-14 January 2011.
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The gene normalization task in BioCreative III. Lu, Z.; Kao, H.; Wei, C.; Huang, M.; Liu, J.; Kuo, C.; Hsu, C.; Tsai, R.; Dai, H.; Okazaki, N.; Cho, H.; Gerner, M.; Solt, I.; Agarwal, S.; Liu, F.; Vishnyakova, D.; Ruch, P.; Romacker, M.; Rinaldi, F.; Bhattacharya, S.; Srinivasan, P.; Liu, H.; Torii, M.; Matos, S.; Campos, D.; Verspoor, K.; Livingston, K.; and Wilbur, W. BMC Bioinformatics, 12(Suppl 8): S2. 2011.
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The use of phenome-wide association studies (PheWAS) for exploration of novel genotype-phenotype relationships and pleiotropy discovery. Pendergrass, S. A.; Brown-Gentry, K.; Dudek, S. M.; Torstenson, E. S.; Ambite, J. L.; Avery, C. L.; Buyske, S.; Cai, C.; Fesinmeyer, M. D.; Haiman, C.; Heiss, G.; Hindorff, L. A.; Hsu, C. N.; Jackson, R. D.; Kooperberg, C.; Le Marchand, L.; Lin, Y.; Matise, T. C.; Moreland, L.; Monroe, K.; Reiner, A. P.; Wallace, R.; Wilkens, L. R.; Crawford, D. C.; and Ritchie, M. D. Genetic Epidemiology, 35(5): 410-422. 2011.
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Automatic Morphological Subtyping Reveals New Roles of Caspases in Mitochondrial Dynamics. Peng, J.; Lin, C.; Chen, Y.; Kao, L.; Liu, Y.; Chou, C.; Huang, Y.; Chang, F.; Wu, Y.; Tsai, Y.; and Hsu, C. PLoS Comput Biol, 7(10): e1002212. 2011.
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Interrogation of rabbit miRNAs and their isomiRs. Li, S.; Liao, Y.; Chan, W.; Ho, M.; Tsai, K.; Hu, L.; Lai, C.; Hsu, C.; and Lin, W. Genomics, 98(6): 453 - 459. 2011.
Interrogation of rabbit miRNAs and their isomiRs [link]Paper   doi   bibtex
Proceedings of the third Asian Conference on Machine Learning. Hsu, C.; and Lee, W. S. Volume 20 of JMLR Workshop and Conference ProceedingsMIT Press, Taoyuan, Taiwan, 2011.
Proceedings of the third Asian Conference on Machine Learning [link]Paper   bibtex   buy
Time-aware Ranking in Dynamic Citation Networks. Ghosh, R.; Kuo, T.; Hsu, C.; Lin, S.; and Lerman, K. In COMMPER 2011: Mining Communities and People Recommendations, Data Mining Workshops (ICDMW), 2010 IEEE International Conference on, pages 373 -380, December 2011.
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Gene Expression-Based Chemical Genomics Identifies Potential Therapeutic Drugs in Hepatocellular Carcinoma. Chen, M. A. Y.; Wu-Lung R. AND Lin, K. A. L.; Chia-Hung AND Liu, Y. A. H.; Kai-Wen AND Chang, P. M. A. L.; Jin-Mei AND Hsu, C. A. C.; and Kun-Mao AND Kao, C. A. H. PLoS ONE, 6(11): e27186. 11 2011.
Gene Expression-Based Chemical Genomics Identifies Potential Therapeutic Drugs in Hepatocellular Carcinoma [link]Paper   doi   bibtex
  2010 (9)
Learning to predict expression efficacy of vectors in recombinant protein production. Chan, W.; Liang, P.; Shih, Y.; Yang, U.; Lin, W.; and Hsu, C. BMC Bioinformatics, 11(Suppl 1): S21. 2010. Supplement for selected articles from the APBC 2010 conference
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From NPC therapeutic target identification to potential treatment strategy. Lan, M.; Chen, C.; Lin, K.; Lee, S.; Yang, W. R.; Hsu, C.; Wu, J.; Ho, C.; Lin, J.; and Huang, C. F. Molecular Cancer Therapeutics, 9(9): 2511-2523. 2010.
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Discovery and characterization of medaka miRNA genes by next generation sequencing platform. Li, S.; Chan, W.; Ho, M.; Tsai, K.; Hu, L.; Lai, C.; Hsu, C.; Hwang, P.; and Lin, W. BMC Genomics, 11(Suppl 4): S8. 2010.
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Identification of homologous microRNAs in 56 animal genomes. Li, S.; Chan, W.; Hu, L.; Lai, C.; Hsu, C.; and Lin, W. Genomics, 96(1): 1-9. 2010.
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A spectral graph theoretic approach to quantification and calibration of collective morphological differences in cell images. Lin, Y.; Lin, C.; Tsai, Y.; Ku, T.; Huang, Y.; and Hsu, C. Bioinformatics, 26(12): i29-i37. 2010. Proceedings of the 18th International Conference on Intelligent Systems for Molecular Biology ISMB 2010
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Fusion of systems for automated cell phenotype image classification. Nanni, L.; Lumini, A.; Lin, Y.; Hsu, C.; and Lin, C. Expert Systems with Applications, 37(2): 1556-1562. 2010.
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Adaptive Image enhancement for fluorescence microscopy. Peng, J.; Hsu, C.; and Lin, C. In 2010 International Conference on Technologies and Applications of Artificial Intelligence, pages 9-16, 2010. IEEE
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Sequence features involved in the mechanism of 3' splice junction wobbling. Tsai, K.; Chan, W.; Hsu, C.; and Lin, W. BMC Molecular Biology, 11(1): 34. 2010.
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Building the Scientific Knowledge Mine (SciKnowMine1): a community-driven framework for text mining tools in direct service to biocuration. Ramakrishnan, C.; Jr., W. A. B.; Blake, J.; Burns, G. A. P. C.; Cohen, K. B.; Drabkin, H.; Eppig, J.; Hovy, E.; Hsu, C.; Hunter, L. E.; Ingulfsen, T.; Livingston, K.; Onda, H. \.; Pokkunuri, S.; Riloff, E.; Roeder, C.; and Verspoor, K. In Language Resources and Evaluation (LREC), Malta, 2010.
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  2009 (8)
Periodic step-size adaptation for single pass on-line learning. Hsu, C.; Chang, Y.; Huang, H.; and Lee, Y. In Bengio, I. Y.; Schuurmans, D.; Lafferty, J.; Williams, C. K. I.; and Culotta, A., editor(s), NIPS-2009 Neural Information Processing Systems 22, volume 22, pages 763-771, 2009.
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Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning. Hsu, C.; Huang, H.; Chang, Y.; and Lee, Y. Machine Learning, 77(2-3): 195-224. 2009. Special Issue on Structured Prediction
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Global and componentwise extrapolations for accelerating training of Bayesian networks and conditional random fields. Huang, H.; Yang, B.; Chang, Y.; and Hsu, C. Data Mining and Knowledge Discovery, 19(1): 58-94. 2009. Early draft as IIS Tech Report TR-07-013
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Accelerating EM by targeted aggressive double extrapolation. Huang, H.; Yang, B.; Lyu, R.; and Hsu, C. In IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP 2009), pages 1609-1612, 2009. IEEE Computer Society
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BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literature. Kuo, C.; Ling, M.; Lin, K.; and Hsu, C. BMC Bioinformatics, 10(Suppl 15): S7. 2009. Supplement for selected articles from the InCoB 2009 conference
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Feature space transformation for semi-supervised learning for protein subcellular localization in fluorescence microscopy images. Lin, Y.; Huang, Y.; Lin, C.; and Hsu, C. In IEEE International Symposium on Biomedical Imaging: From Nano to Macro (IEEE ISBI 2009), pages 414-417, 2009. IEEE Press
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Quantification and calibration of collective morphological differences in cell images. Lin, Y.; Lin, C.; Huang, Y.; and Hsu, C. In ICML-UAI-COLT 2009 Workshop on Automated Interpretation and Modeling of Cell Images, 2009. Oral presentation by Yu-Shi Lin
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Automated cell phenotype image classification combining different methods. Nanni, L.; Hsu, C.; Lumini, A.; Lin, Y.; and Lin, C. In ICML-UAI-COLT 2009 Workshop on Automated Interpretation and Modeling of Cell Images, 2009. Oral presentation
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  2008 (9)
Integrating high dimensional bi-directional parsing models for gene mention tagging. Hsu, C.; Chang, Y.; Kuo, C.; Lin, Y.; Huang, H.; and Chung, I. Bioinformatics, 24(13): i286-i294. 2008. Proceedings of the 16th International Conference on Intelligent Systems for Molecular Biology ISMB 2008
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Periodic stepsize adaptation. Hsu, C.; Huang, H.; and Chang, Y. In Snowbird Learning Workshop, 2008. Poster presentation
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Componentwise triple jump acceleration for training linear SVM. Huang, H.; Chang, Y.; and Hsu, C. In The Pascal Large Scale Learning Challenge Workshop in the 25th International Conference on Machine Learning (ICML-2008), 2008. ICML Oral presentation
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Introducing Meta-services for biomedical information extraction. Leitner, F.; Krallinger, M.; Rodriguez-Penagos, C.; Hakenberg, J.; Plake, C.; Kuo, C.; Hsu, C.; Tsai, R.; Hung, H.; Lau, W.; Johnson, C.; Saetre, R.; Yoshida, K.; Chen, Y.; Kim, S.; Shin, S.; Zhang, B.; Baumgartner, W.; Hunter, L.; Haddow, B.; Matthews, M.; Wang, X.; Ruch, P.; Ehrler, F.; Ozgur, A.; Erkan, G.; Radev, D.; Krauthammer, M.; Luong, T.; Hoffmann, R.; Sander, C.; and Valencia, A. Genome Biology, 9(Suppl 2): S6. 2008. Proceedings of the BioCreative II - Critical Assessment for Information Extraction in Biology Challenge
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Re-weighting graph links for quantifying difference. Lin, Y.; Lin, C.; Tsai, Y.; Ku, T.; Huang, Y.; and Hsu, C. In NIPS-2008 Workshop on Analyzing Graphs, Theory and Applications, 2008. Poster presentation
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Acoustic model optimization for multilingual speech recognition. Lyu, D.; Hsu, C.; Chiang, Y.; and Lyu, R. International Journal of Computational Linguistics and Chinese Language Processing (IJCLCLP), 13(3): 363-386. 2008.
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Cross-lingual audio-to-text alignment for multimedia content management. Lyu, D.; Lyu, R.; Chiang, Y.; and Hsu, C. Decision Support Systems, 45(3): 554-566. 2008. Special issue on Multilingual Knowledge Management
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Overview of BioCreative II gene normalization. Morgan, A. A; Lu, Z.; Wang, X.; Cohen, A.; Fluck, J.; Ruch, P.; Divoli, A.; Fundel, K.; Leaman, R.; Hakenberg, J.; Sun, C.; Liu, H.; Torres, R.; Krauthammer, M.; Lau, W.; Liu, H.; Hsu, C.; Schuemie, M.; Cohen, K B.; and Hirschman, L. Genome Biology, 9(Suppl 2): S3. 2008.
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Overview of BioCreative II gene mention recognition. Smith, L.; Tanabe, L.; Ando, R.; Kuo, C.; Chung, I.; Hsu, C.; Lin, Y.; Klinger, R.; Friedrich, C.; Ganchev, K.; Torii, M.; Liu, H.; Haddow, B.; Struble, C.; Povinelli, R.; Vlachos, A.; Baumgartner, W.; Hunter, L.; Carpenter, B.; Tsai, R.; Dai, H.; Liu, F.; Chen, Y.; Sun, C.; Katrenko, S.; Adriaans, P.; Blaschke, C.; Torres, R.; Neves, M.; Nakov, P.; Divoli, A.; Mana-Lopez, M.; Mata, J.; and Wilbur, W J. Genome Biology, 9(Suppl 2): S2. 2008. Proceedings of the BioCreative II - Critical Assessment for Information Extraction in Biology Challenge
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  2007 (9)
Analysis and enhancement of conditional random fields gene mention taggers in BioCreative II challenge evaluation. Chang, Y.; Kuo, C.; Huang, H.; Lin, Y.; and Hsu, C. In The 2nd International Symposium on Languages in Biology and Medicine (LBM 2007) (Short Paper), pages 4.1-4.14, 2007.
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Efficient off-line and on-line algorithms for training conditional random fields by approximating jacobians. Hsu, C.; Huang, H.; and Chang, Y. In NIPS-2007 Workshop on Efficient Machine Learning, 2007. NIPS*2007 Workshop on Efficient Machine Learning
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Detection of the inferred interaction network in hepatocellular carcinoma from EHCO (encyclopedia of hepatocellular carcinoma genes online). Hsu, C.; Lai, J.; Liu, C.; Tseng, H.; Lin, C.; Lin, K.; Yeh, H.; Sung, T.; Hsu, W.; Su, L.; Lee, S.; Chen, C.; Lee, G.; Lee, D.; Shiue, Y.; Yeh, C.; Chang, C.; Kao, C.; and Huang, C. BMC Bioinformatics, 8(66): 1471-2105. 2007.
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Training conditional random fields by periodic step size adaptation for large-scale text mining. Huang, H.; Chang, Y.; and Hsu, C. In The Seventh International Conference on Data Mining (ICDM-2007), pages 511-516, 2007. IEEE Press
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High-recall gene mention recognition by unification of multiple backward parsing models. Huang, H.; Lin, Y.; Lin, K.; Kuo, C.; Chang, Y.; Yang, B.; Chung, I.; and Hsu, C. In The Second BioCreative Challenge Evaluation Workshop (BioCreative II), pages 109-111, 2007.
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Rich feature set, unification of bidirectional parsing and dictionary filtering for high F-score gene mention tagging. Kuo, C.; Chang, Y.; Huang, H.; Lin, K.; Yang, B.; Lin, Y.; Hsu, C.; and Chung, I. In The Second BioCreative Challenge Evaluation Workshop (BioCreative II), pages 105-107, 2007.
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Exploring match scores to boost precision of gene normalization. Kuo, C.; Chang, Y.; Huang, H.; Lin, K.; Yang, B.; Lin, Y.; Hsu, C.; and Chung, I. In The Second BioCreative Challenge Evaluation Workshop (BioCreative II), pages 161-163, 2007.
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Boosting multiclass learning with repeating codes and weak detectors for protein subcellular localization. Lin, C.; Tsai, Y.; Lin, Y.; Chiu, T.; Hsiung, C.; Lee, M.; Simpson, J. C.; and Hsu, C. Bioinformatics, 23(24): 3374-3381. 2007.
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Gene Name Service: no-nonsense alias resolution service for Homo sapiens Genes. Lin, K.; Liu, C.; Chiou, J.; Tseng, W.; Lin, K.; and Hsu, C. In 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology-Workshops (WI-IAT Workshops 2007), Workshop on Bio-Medicine Applications of Web Technologies (BMWT-2007), pages 185-188, 1339687, 2007. IEEE Computer Society
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  2006 (4)
Global and componentwise extrapolation for accelerating data mining from large incomplete data sets with the EM algorithm. Hsu, C.; Yang, B.; and Huang, H. In The Sixth International Conference on Data Mining (ICDM-2006), pages 265-274, 2006. IEEE Press Regular Paper
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Boosting multiclass learning with repeating codes. Lin, Y.; and Hsu, C. In 2006 TAAI Conference on Artificial Intelligence and Applications (TAAI 2006), pages 591-598, 2006.
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Speech recognition on code-switching among the chinese dialects. Lyu, D.; Lyu, R.; Chiang, Y.; and Hsu, C. In 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), 2006. IEEE Press IEEE Signal Processing Society
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FASTSNP: an always up-to-date and extendable service for SNP function analysis and prioritization. Yuan, H.; Chiou, J.; Tseng, W.; Liu, C.; Liu, C.; Lin, Y.; Wang, H.; Yao, A.; Chen, Y.; and Hsu, C. Nucleic Acids Research, 34(suppl 2): W635-W641. 2006.
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  2005 (7)
Learning information extraction for web data mining . Chang, C.; and Hsu, C. 129, pages 678-688. IGI Global, Hershey, PA, 2005.
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Reconfigurable web wrapper agents for biological information integration. Hsu, C.; Chang, C.; Hsieh, C.; Lu, J.; and Chang, C. Journal of the American Society for Information Science and Technology, 56(5): 505-517. 2005. Special Issue on Bioinformatics
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Item-triggered recommendation for identifying potential customers of cold sellers in supermarkets. Huang, H.; Lin, K.; Hsu, J. Y.; and Hsu, C. In Beyond Personalization 2005. A Workshop on the Next Stage of Recommender Systems Research, in conjunction with the 2005 International Conference on Intelligent User Interfaces (IUI 2005), 2005.
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Triple-jump acceleration for the EM algorithm. Huang, H.; Yang, B.; and Hsu, C. In The Fifth International Conference on Data Mining (ICDM-2005), pages 649-652, 1106417, 2005. IEEE Press Short Paper
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A recommender for targeted advertisement of unsought products in e-commerce. Lin, K.; Hsu, J. Y.; Huang, H.; and Hsu, C. In The 7th IEEE International Conference on E-Commerce Technology (CEC 2005), pages 101-108, 2005.
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Modeling pronunciation variation for bi-lingual Mandarin/Taiwanese speech recognition. Lyu, D.; Lyu, R.; Chiang, Y.; and Hsu, C. International Journal of Computational Linguistics and Chinese Language Processing (IJCLCLP), 10(3): 363-380. 2005.
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A bi-lingual TV news-to-document indexing system. Lyu, D.; Lyu, R.; Chiang, Y.; and Hsu, C. In 2005 TAAI Conference on Artificial Intelligence and Applications (TAAI2005), pages 182-185, 2005. IEEE
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  2004 (2)
Mining skewed and sparse transaction data for personalized shopping recommendation. Hsu, C.; Chung, H.; and Huang, H. Machine Learning, 57(1- 2): 35-59. 2004. Special Issue on Data Mining Lessons Learned
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A unified framework for large vocabulary speech recognition of mutually unintelligible chinese" Regionalects". Lyu, R.; Lyu, D.; Liang, M.; Wang, M.; Chiang, Y.; and Hsu, C. In The 8th International Conference on Spoken Language Processing (ICSLP2004), 2004.
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  2003 (9)
Automatic information extraction from semi-structured web pages by pattern discovery. Chang, C.; Hsu, C.; and Lui, S. Decision Support Systems, 35(1): 129-147. 2003. Special Issue on Web Retrieval and Mining
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Reconfigurable web wrapper agents. Chang, C.; Siek, H.; Lu, J.; Chiou, J.; and Hsu, C. IEEE Intelligent Systems, 18(5): 34-40. 2003. Special Issue on Web Information Integration
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Reconfigurable web wrapper agents for web information integration. Hsu, C.; Chang, C.; Siek, H.; Lu, J.; and Chiou, J. In IJCAI-2003 Workshop on Information Integration on the Web, 2003. AAAI Press
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The hybrid poisson aspect model for personalized shopping recommendation. Hsu, C.; Chung, H.; and Huang, H. In The Third International Conference on Data Mining (ICDM-2003), pages 545-548, 2003. IEEE Press Short Paper
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Implications of the dirichlet assumption for discretization of continuous variables in naive Bayesian classifiers. Hsu, C.; Huang, H.; and Wong, T. Machine Learning, 53(3): 235-263. 2003.
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Speaker verification without background speaker models. Hsu, C.; Yu, H.; and Yang, B. In IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP 2003), volume v, pages 233-236, 2003. IEEE ICASSP 2003 conference was cancelled due to SARS in Hong Kong
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View inference for heterogeneous XML information integration. Jeong, E.; and Hsu, C. Journal of Intelligent Information Systems, 20(1): 81-99. 2003. Special Issue on Web Intelligence
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Query answering using ontologies in Agent-based resource sharing environment for biological web information integrating. Lu, J.; and Hsu, C. In Proceedings of IJCAI-2003 Workshop on Information Integration on the Web, 2003. AAAI Press In Proceedings of IJCAI-2003 Workshop on Information Integration on the Web
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Large vocabulary Taiwanese (Min-nan) speech recognition using tone features and statistical pronunciation modeling. Lyu, D.; Liang, M.; Chiang, Y.; Hsu, C.; and Ly, R. In The 8th European Conference on Speech Communication and Technology (Eurospeech 2003), 2003.
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  2002 (5)
Learning customers' preference lists via probabilistic model. Chung, H.; Huang, H.; and Hsu, C. In NIPS-2002 Workshop: Beyond Classification and Regression: Learning Rankings, Preferences, Equality Predicates, and Other Structures, 2002.
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The ANNIGMA-wrapper approach to fast feature selection for neural nets. Hsu, C.; Huang, H.; and Schuschel, D. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 32(2): 207-212. 2002.
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Recognizing 100 speakers using homologous naive bayes. Huang, H.; and Hsu, C. In Ishizuka, M.; and Sattar, A., editor(s), PRICAI 2002: Trends in Artificial Intelligence, 7th Pacific Rim International Conference on Artificial Intelligence, volume 2417/2002, pages 395-403, 2002. Lecture Notes in Computer Science 2417 Springer
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Bayesian classification for data from the same unknown class. Huang, H.; and Hsu, C. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 32(2): 137-145. 2002.
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Speaker independent acoustic modeling for large vocabulary bi-lingual Taiwanese/Mandarin continuous speech recognition. Lyu, D.; Yang, B.; Liang, M.; Lyu, R.; and Hsu, C. In The Ninth Australian International Conference on Speech Science and Technology (SST 2002), 2002.
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  2001 (3)
Smoothing of recommenders' ratings for collaborative filtering. Huang, H.; and Hsu, C. In 2001 TAAI Conference on Artificial Intelligence and Applications (TAAI2001), 2001.
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Induction of integrated view for XML data with heterogeneous DTDs. Jeong, E.; and Hsu, C. In The 10th International Conference on Information and Knowledge Management (CIKM2001), pages 151-158, 2001. ACM The 10th International Conference on Information and Knowledge Management (CIKM2001), Atlanta, GA, USA
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Integration and reuse of heterogeneous XML DTDs for information agents. Jeong, E.; and Hsu, C. In The 2001 International Conference on Intelligent Agent Technology (IAT2001), pages 274-283, 2001.
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  2000 (3)
Why discretization works for Naive Bayesian classifiers. Hsu, C.; Huang, H.; and Wong, T. In The 17th International Conference on Machine Learning (ICML-2000), pages 399-406, 2000.
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Semantic query optimization for query plans of heterogeneous multidatabase systems. Hsu, C.; and Knoblock, C. A. IEEE Transactions on Knowledge and Data Engineering, 12(6): 959-978. 2000.
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Bayesian classification for set and interval data. Huang, H.; and Hsu, C. In 2000 International Computer Symposium (ICS2000), 2000.
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  1999 (2)
Automatic extraction of information blocks using PAT Trees. Chang, C.; and Hsu, C. In 1999 National Computer Symposium (NCS1999), 1999.
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Finite-state transducers for semi-structured text mining. Hsu, C.; and Chang, C. In IJCAI-99 Workshop on Text Mining: Foundations, Techniques and Applications, pages 38-49, 1999.
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  1998 (6)
Query processing in the SIMS information mediator. Arens, Y.; Hsu, C.; and Knoblock, C. A. pages 82-90. Morgan Kaufmann, San Francisco, CA, USA, 1998.
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Initial results on wrapping semistructured web pages with finite-state transducers and contextual rules. Hsu, C. In AAAI-98 Workshop on AI and Information Integration, 1998. AAAI Press Technical Report WS-98-01
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Wrapping semistructured web pages with finite-state transducers. Hsu, C.; and Dung, M. In The Conference on Automated Learning and Discovery, Workshop on Learning from Text and the Web, 1998.
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Generating finite-state transducers for semi-structured data extraction from the web. Hsu, C.; and Dung, M. Information Systems, 23(8): 521-538. 1998. Special Issue on Semistructured Data
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Discovering robust knowledge from databases that change. Hsu, C.; and Knoblock, C. A. Data Mining and Knowledge Discovery, 2(1): 69-95. 1998.
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A weight analysis-based wrapper approach to neural nets feature subset selection. Schuschel, D. H.; and Hsu, C. In The 10th IEEE International Conference on Tools with AI, pages 89-96, 1998. IEEE
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  1997 (2)
Tradeoff in rule induction for semantic query optimization . Hsu, C. In AAAI-97 Workshop on Building Recource-Bounded Reasoning Systems, 1997. AAAI Press Technical Report WS-97-06
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Learning effective and robust knowledge for semantic query optimization. Hsu, C. In Americas Conference on Information Systems, 1997. The Associations of Information Systems
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  1996 (4)
Query processing in the SIMS information mediator. Arens, Y.; Hsu, C.; and Knoblock, C. A. Volume 32 , Tate, A., editor(s). pages 78-93. AAAI Press, Menlo Park, CA, 1996.
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Learning effective and robust knowledge for semantic query optimization. Hsu, C. Ph.D. Thesis, Department of Computer Science, University of Southern California, Los Angeles, CA, December 1996. USC/ISI Technical Report RR-96-451
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Discovering robust knowledge from dynamic closed-world data. Hsu, C.; and Knoblock, C. A. In The Thirteenth National Conference on Artificial Intelligence (AAAI-96), volume 1, pages 820-827, 1996. AAAI Press
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Using inductive learning to generate rules for semantic query optimization. Hsu, C.; and Knoblock, C. A. 17, pages 425-445. AAAI Press/MIT Press, Menlo Park, CA, USA , 1996.
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  1995 (1)
Estimating the robustness of discovered knowledge. Hsu, C.; and Knoblock, C. A. In The First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995. AAAI Press
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  1994 (3)
Query processing in an information mediator. Arens, Y.; Chee, C.; Hsu, C.; In, H.; and Knoblock, C. In The ARPA Planning Initiative Meeting, pages 339, 1994. Morgan Kaufmann
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Rule induction for semantic query optimization. Hsu, C.; and Knoblock, C. A. In Proceedings of the 11th International Conference on Machine Learning (ML-94), 1994. Morgan Kaufmann
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Cooperating agents for information retrieval. Knoblock, C. A.; Arens, Y.; and Hsu, C. In The Second International Conference on Intelligent and Cooperative Information Systems (Coopis-94), 1994.
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  1993 (3)
Retrieving and integrating data from multiple information sources. Arens, Y.; Chee, C. Y.; Hsu, C.; and Knoblock, C. A. International Journal of Intelligent and Cooperative Information Systems, 2(2): 127-158. 1993.
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Learning database abstractions for query reformulation. Hsu, C.; and Knoblock, C. A. In Piatetsky-Shapiro, G., editor(s), KDD-93, AAAI-93 Workshop on Knowledge Discovery in Databases, 1993. AAAI Press
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Reformulating query plans for multidatabase systems. Hsu, C.; and Knoblock, C. A. In The Second International Conference on Information and Knowledge Management (CIKM-93), pages 423-432, 1993. ACM
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