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 Chun-Nan Hsu

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Average citations per article8.29
Citation Count348
Publication count42
Publication years1993-2012
Available for download7
Average downloads per article224.14
Downloads (cumulative)1,569
Downloads (12 Months)31
Downloads (6 Weeks)6
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42 results found Export Results: bibtexendnoteacmrefcsv

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1
June 2012 BioNLP '12: Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 4,   Downloads (Overall): 25

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Many genetic epidemiological studies of human diseases have multiple variables related to any given phenotype, resulting from different definitions and multiple measurements or subsets of data. Manually mapping and harmonizing these phenotypes is a time-consuming process that may still miss the most appropriate variables. Previously, a supervised learning algorithm was ...

2
June 2011 BioNLP '11: Proceedings of BioNLP 2011 Workshop
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 9,   Downloads (Overall): 173

Full text available: PDFPDF
Accurate phenotype mapping will play an important role in facilitating Phenome-Wide Association Studies (PheWAS), and potentially in other phenomics based studies. The Phe-WAS approach investigates the association between genetic variation and an extensive range of phenotypes in a high-throughput manner to better understand the impact of genetic variations on multiple ...

3 published by ACM
May 2011 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 2 Issue 3, April 2011
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 10,   Downloads (Overall): 242

Full text available: PDFPDF

4
March 2010 Expert Systems with Applications: An International Journal: Volume 37 Issue 2, March, 2010
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 5

Automated cell phenotype image classification is related to the problem of determining locations of protein expression within living cells. Localization of proteins in cells is directly related to their functions and it is crucial for several applications ranging from early diagnosis of a disease to monitoring of therapeutic effectiveness of ...
Keywords: Ensemble of neural networks, Machine learning techniques, Subcellular location, Cell phenotype image classification, AdaBoost

5
December 2009 NIPS'09: Proceedings of the 22nd International Conference on Neural Information Processing Systems
Publisher: Curran Associates Inc.
Bibliometrics:
Citation Count: 0

It has been established that the second-order stochastic gradient descent (2SGD) method can potentially achieve generalization performance as well as empirical optimum in a single pass (i.e., epoch) through the training examples. However, 2SGD requires computing the inverse of the Hessian matrix of the loss function, which is prohibitively expensive. ...

6
December 2009 Machine Learning: Volume 77 Issue 2-3, December 2009
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 5

It has been established that the second-order stochastic gradient descent (SGD) method can potentially achieve generalization performance as well as empirical optimum in a single pass through the training examples. However, second-order SGD requires computing the inverse of the Hessian matrix of the loss function, which is prohibitively expensive for ...
Keywords: Conditional random fields, On-line learning, Convolutional neural networks, Sequence labeling, Stochastic gradient descent

7
August 2009 Data Mining and Knowledge Discovery: Volume 19 Issue 1, August 2009
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 2

The triple jump extrapolation method is an effective approximation of Aitken's acceleration that can accelerate the convergence of many algorithms for data mining, including EM and generalized iterative scaling (GIS). It has two options--global and componentwise extrapolation. Empirical studies showed that neither can dominate the other and it is not ...
Keywords: Aitken's extrapolation, Conditional random fields, Expectation-maximization (EM) algorithm, Bayesian networks, Generalized iterative scaling

8
June 2009 ISBI'09: Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

As rapid acquisition of large collections of fluorescence microscopy cell images can be automated, large-scale subcellular localizations of GFP-tagged fusion proteins can be practically accomplished. Semi-supervised learning has the potential of using a large set of unlabeled images for the recognition of subcellular organelle patterns, but the performance still has ...
Keywords: object recognition, unsupervised learning, biological cells, biomedical image processing, learning systems

9 published by ACM
June 2009 ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning
Publisher: ACM
Bibliometrics:
Citation Count: 0


10
July 2008 Bioinformatics: Volume 24 Issue 13, July 2008
Publisher: Oxford University Press
Bibliometrics:
Citation Count: 9

Motivation: Tagging gene and gene product mentions in scientific text is an important initial step of literature mining. In this article, we describe in detail our gene mention tagger participated in BioCreative 2 challenge and analyze what contributes to its good performance. Our tagger is based on the conditional random ...

11
June 2008 Decision Support Systems: Volume 45 Issue 3, June, 2008
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 1

This paper addresses a content management problem in situations where we have a collection of spoken documents in audio stream format in one language and a collection of related text documents in another. In our case, we have a huge digital archive of audio broadcast news in Taiwanese, but its ...
Keywords: Audio document retrieval, Cross-language information retrieval, Parallel document alignment, Speech recognition

12
December 2007 Bioinformatics: Volume 23 Issue 24, December 2007
Publisher: Oxford University Press
Bibliometrics:
Citation Count: 6

Motivation: Determining locations of protein expression is essential to understand protein function. Advances in green fluorescence protein (GFP) fusion proteins and automated fluorescence microscopy allow for rapid acquisition of large collections of protein localization images. Recognition of these cell images requires an automated image analysis system. Approaches taken by previous ...

13
November 2007 WI-IATW '07: Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 0,   Downloads (Overall): 53

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Gene Name Service (GNS) provides up-to-date alias resolution services for 26 types of gene identifiers of Homo sapiens genes via both Web server (for human users) and Web Service (for other applications). GNS automatically updates its database to keep its contents up-to-date.
Keywords: Gene NameGene AliasHomo SapiensDisambiguousServiceGene Identifier

14
October 2007 ICDM '07: Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 4

For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all available training examples and usually has a much smaller memory footprint. To train CRFs on-line, this paper presents the Periodic Step size Adaptation (PSA) method to ...

15
September 2007 ICICIC '07: Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Due to focusing on template matching, conventional approaches bound their capability by complex and varied layout structures. This paper proposes a novel and efficient logical structure description algorithm, named Structure Description Algorithm, to automatically extract logical structures from hypertext (Web) tables. Based on table field relationships, our approach starts from ...

16
December 2006 ICDM '06: Proceedings of the Sixth International Conference on Data Mining
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 2

The Expectation-Maximization (EM) algorithm is one of the most popular algorithms for data mining from incomplete data. However, when applied to large data sets with a large proportion of missing data, the EM algorithm may converge slowly. The triple jump extrapolation method can effectively accelerate the EM algorithm by substantially ...

17
December 2006 ISCSLP'06: Proceedings of the 5th international conference on Chinese Spoken Language Processing
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

Many approaches to automatic spoken language identification (LID) on monolingual speech are successfully, but LID on the code-switching speech identifying at least 2 languages from one acoustic utterance challenges these approaches. In [6], we have successfully used one-pass approach to recognize the Chinese character on the Mandarin-Taiwanese code-switching speech. In ...
Keywords: code-switching speech, language identification

18
November 2005 ICDM '05: Proceedings of the Fifth IEEE International Conference on Data Mining
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 6

This paper presents the triple jump framework for accelerating the EM algorithm and other bound optimization methods. The idea is to extrapolate the third search point based on the previous two search points found by regular EM. As the convergence rate of regular EM becomes slower, the distance of the ...

19
July 2005 CEC '05: Proceedings of the Seventh IEEE International Conference on E-Commerce Technology
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 2

Recommender systems are a powerful tool for promoting sales in electronic commerce. An effective shopping recommender system can help boost the retailer�s sales by reminding customers to purchase additional products originally not on their shopping lists. Existing recommender systems are designed to identify the top selling items, also called hot ...

20
March 2005 Journal of the American Society for Information Science and Technology - Bioinformatics: Volume 56 Issue 5, March 2005
Publisher: John Wiley & Sons, Inc.
Bibliometrics:
Citation Count: 2

A variety of biological data is transferred and exchanged in overwhelming volumes on the World Wide Web. How to rapidly capture, utilize, and integrate the information on the Internet to discover valuable biological knowledge is one of the most critical issues in bioinformatics. Many information integration systems have been proposed ...



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