Contact

Hyunjung (Helen) Shin, Ph.D.

Raum Nummer: 205
Fax: 0(0)7071-601-455

 

Bild von Shin, Hyunjung (Helen), Ph.D.

Hyunjung (Helen) Shin

Position: Wissenschaftler  Abteilung: 

Präferenzen: 
Referenzen pro Seite: Jahr: Medium:

  
Zeige Zusammenfassung

Artikel (8):

Shin HH, Tsuda K und Schölkopf B (März-2008) Protein Functional Class Prediction With a Combined Graph Expert Systems with Applications 36(2) 3284-3292.
Shin HH, Lisewski AM und Lichtarge O (Dezember-2007) Graph sharpening plus graph integration: a synergy that improves protein functional classification Bioinformatics 23(23) 3217-3224.
Shin H und Cho S (März-2007) Neighborhood Property based Pattern Selection for Support Vector Machines Neural Computation 19(3) 816-855.
pdf
Shin H und Cho S (Mai-2006) Response Modeling with Support Vector Machines Expert Systems with Applications 30(4) 746-760.
pdf
Cho S, Shin H, Yu E, Ha K und MacLachlan D (März-2006) Data mining problems and solutions for response modeling in CRM Entrue Journal of Information Technology 5(1) 55-64.
pdf
Shin H und Cho S (Mai-2005) Invariance of neighborhood relation under input space to feature space mapping Pattern Recognition Letters 26(6) 707-718.
Jeong D, Kim Y, Cho S und Shin H (Dezember-2003) A Study on Rainfall - Runoff Models for Improving Ensemble Streamflow Prediction: 1. Rainfallrunoff Models Using Artificial Neural Networks Journal of the Korean Society of Civil Engineers 23(6B) 521-530.
Shin H und Cho S (März-2001) Pattern Selection Using the Bias and Variance of Ensemble Journal of the Korean Institute of Industrial Engineers 28(1) 112-127.

Beiträge zu Tagungsbänden (26):

Choi I und Shin H (November-2007) Performance Stabilization and Improvement in Graph-based Semi-supervised Learning with Ensemble Method and Graph Sharpening, Korean Data Mining Society Conference 2007, Korean Data Mining Society, Seoul, Korea, 257-262.
pdf
Shin H (September-2007) Machine Learning and Applications in Biology, BioKorea 2007, 337-366.
Shin H, Lisewski AM und Lichtarge O (Juni-2007) Graph-based Protein Functional Classification, 2007 International Conference on Bioinformatics & Computational Biology (BIOCOMP'07, CSREA Press, Las Vegas, NV, USA, 738-744.
Shin H, Hill NJ und Rätsch G (September-2006) Graph Based Semi-Supervised Learning with Sharper Edges In: Machine Learning: ECML 2006, , 17th European Conference on Machine Learning, Springer, Berlin, Germany, 401-412, Series: Lecture Notes in Computer Science ; 4212.
pdf
Tsuda K, Shin H und Schölkopf B (Oktober-2005) Fast Protein Classification with Multiple Networks, Fourth European Conference on Computational Biology / Sixth Meeting of the Spanish Bioinformatics Network (ECCB/JBI'05), Bioinformatics, 21(Supplement 2), 59-65.
pdf
Sun J, Cho S und Shin H (April-2004) Pattern Selection for SVM based "Futures Trading System", Korean Data Mining Society Conference, Proc. of the Korean Data Mining Conference, 175-183.
Shin H und Cho S (April-2004) Preservation of Neighborhood Relation under Input to Feature Space Mapping in SVM Training, the 33rd International Conference on Computers and Industrial Engineering (C&IE 2004), Proc. of the 33rd International Conference on Computers and Industrial Engineering (C&IE 2004), 1-10.
Shin H und Cho S (Dezember-2003) How to Deal with Large Dataset, Class Imbalance and Binary Output in SVM based Response Model, Korean Data Mining Conference, Proc. of the Korean Data Mining Conference, 93-107.
pdf
Shin H, Tsuda K und Schölkopf B (Dezember-2003) Protein Functional Class Prediction with a Combined Graph, Korean Data Mining Conference, 200-219.
pdf
Shin H und Cho S (September-2003) Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis In: Intelligent Data Engineering and Automated Learning, , 4th International Conference on Intelligent Data Engineering (IDEAL 2003), Springer, Berlin, Germany, 1008-1015, Series: Lecture Notes in Computer Science ; 2690.
Shin H und Cho S (Juli-2003) How Many Neighbors To Consider in Pattern Pre-selection for Support Vector Classifiers?, 2003 International Joint Conference on Neural Networks (IJCNN '03), IEEE Service Center, Piscataway, NJ, USA, 565-570.
pdf
Shin H und Cho S (Juni-2003) Time Complexity Analysis of Fast Pattern Selection Algorithm for SVM, Korean Data Mining Conference, Proc. of the Korean Data Mining Conference, 221-231.
Shin H und Cho S (Mai-2003) Fast Pattern Selection for Support Vector Classifiers In: Advances in Knowledge Discovery and Data Mining, , 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2003), Springer, Berlin, Germany, 376-387, Series: Lecture Notes in Computer Science ; 2637.
pdf
Shin H und Cho S (Mai-2002) Decision Boundary Pattern Selection for Support Vector Machines, Korean Data Mining Conference, Proc. of the Korean Data Mining Conference, 33-41.
Shin H und Cho S (Mai-2002) k-NN based Pattern Selection for Support Vector Classifiers, Korean Industrial Engineers Conference, Proc. of the Korean Industrial Engineers Conference, 645-651.
Shin H und Cho S (Januar-2002) Pattern Selection for Support Vector Classifiers In: Intelligent Data Engineering and Automated Learning - IDEAL 2002, , Third International Conference on Intelligent Data Engineering and Automated Learning, Springer, Berlin, Germany, 97-103, Series: Lecture Notes in Computer Science ; 2412.
pdf
Shin H und Cho S (Dezember-2001) Pattern Selection Using the Bias and Variance of Ensemble, Korean Data Mining Conference, Proc. of the Korean Data Mining Conference, 56-67.
Shin H und Cho S (November-2001) Pattern Selection for ‘Regression’ using the Bias and Variance of Ensemble Network, Korean Industrial Engineers Conference, Proc. of the Korean Institute of Industrial Engineers Conference, 10-19.
Shin H und Cho S (Oktober-2001) Pattern Selection for ‘Classification’ using the Bias and Variance of Ensemble Neural Network, Korea Information Science Conference, Proc. of the Korea Information Science Conference, 307-309.
Shin H, Lee H und Cho S (Oktober-2000) Ensemble Learning Algorithm of Specialized Networks, Korea Information Science Conference, Proc. of the Korea Information Science Conference, 308-310.
Shin H, Lee H und Cho S (Oktober-2000) Ensemble of Specialized Networks based on Input Space Partition, Korean Operations Research and Management Science Conference, Proc. of the Korean Operations Research and Management Science Conference, 33-36.
Shin H, Lee H und Cho S (Juli-2000) Observational Learning with Modular Networks In: Intelligent Data Engineering and Automated Learning - IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents, , Second International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2000), Springer, Berlin, Germany, 126-132, Series: Lecture Notes in Computer Science ; 1983.
Shin H, Jang M und Cho S (Juni-2000) Generalization Abilities of Ensemble Learning Algorithms, Korean Brain Society Conference, Proc. of the Korean Brain Society Conference, 129-133.
Shin H, Jang M, Cho S, Lee B und Lim Y (April-2000) Generalization Abilities of Ensemble Learning Algorithms: OLA, Bagging, Boosting, Conference on Korean Information Science, Proc. of the Korea Information Science Conference, 226-228.
Shin H und Jhee W (April-1998) Qualitative Modeling for Data Miner’s Requirements, Conference on the Korean Management Information Systems, Proc. of the Korean Management Information Systems, 65-73.
Shin H und Jhee W (November-1996) Quality Prediction of Steel Products using Neural Networks, Korean Expert System Society Conference, Proc. of the Korean Expert System Conference, 112-124.

Abschlussarbeiten (2):

Shin H: Efficient Pattern Selection for Support Vector Classifiers and its CRM Application, Seoul National University, Seoul, Korea, (Februar-2005). PhD thesis
pdf
Shin H: Qualitative Modeling for Data Miner‘s Requirement, Hong-Ik University, Seoul, Korea, (Februar-1998). Diplom thesis
zip

Vorträge (1):

Shin H (März-18-2006): Machine Learning and Applications in Biology, 6th Course in Bioinformatics for Molecular Biologist, Bertinoro di Romangna, Italy.
pdf

Export als:
BibTeX, XML, pubman, Edoc, RTF
Last updated: Montag, 22.05.2017