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May 2012
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Hyunjung (Helen) Shin, Ph.D.

Room number:	205
Phone:	+49-(0)7071-601-824
Fax:	+49-(0)7071-601-455
E-Mail:	shin

Picture of Shin, Hyunjung (Helen), Ph.D.

Hyunjung (Helen) Shin

Position: Research Scientist Unit: Alumni Schölkopf

Publications

Articles (9):
•	Shin HH , Tsuda K and Schölkopf B (March-2008) Protein Functional Class Prediction With a Combined Graph Expert Systems with Applications 36(2) 3284-3292.
•	Shin HH , Lisewski AM and Lichtarge O (December-2007) Graph sharpening plus graph integration: a synergy that improves protein functional classification Bioinformatics 23(23) 3217-3224.
•	Shin H and Cho S (March-2007) Neighborhood Property based Pattern Selection for Support Vector Machines Neural Computation 19(3) 816-855.
•	Shin H and Cho S (May-2006) Response Modeling with Support Vector Machines Expert Systems with Applications 30(4) 746-760.
•	Cho S , Shin H , Yu E , Ha K and MacLachlan D (March-2006) Data mining problems and solutions for response modeling in CRM Entrue Journal of Information Technology 5(1) 55-64.
•	Tsuda K , Shin H and Schölkopf B (September-2005) Fast Protein Classification with Multiple Networks Bioinformatics 21(Suppl. 2) 59-65.
•	Shin H and Cho S (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 and Shin H (December-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 and Cho S (March-2001) Pattern Selection Using the Bias and Variance of Ensemble Journal of the Korean Institute of Industrial Engineers 28(1) 112-127.
Conference papers (25):
•	Choi I and Shin H (November-2007) Performance Stabilization and Improvement in Graph-based Semi-supervised Learning with Ensemble Method and Graph Sharpening In: Korean Data Mining Society Conference, Korean Data Mining Society Conference, Korean Data Mining Society, Seoul, Korea, 257-262.
•	Shin H (September-2007) Machine Learning and Applications in Biology In: BioKorea 2007, BioKorea 2007, 337-366.
•	Shin H , Lisewski AM and Lichtarge O (July-2007) Graph-based Protein Functional Classification In: BIOCOMP‘07, 2007 International Conference on Bioinformatics and Computational Biology, CSREA Press, Las Vegas, NV, USA, 738-744.
•	Shin H , Hill NJ and Rätsch G (September-2006) Graph Based Semi-Supervised Learning with Sharper Edges In: ECML 2006, 17th European Conference on Machine Learning (ECML), Springer, Berlin, Germany, 401-412.
•	Sun J , Cho S and Shin H (April-2004) Pattern Selection for SVM based "Futures Trading System" Korean Data Mining Society Conference, 175-183.
•	Shin H and 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), 1-10.
•	Shin H , Tsuda K and Schölkopf B (2004) Protein Functional Class Prediction with a Combined Graph Proceedings of the Korean Data Mining Conference, 200-219.
•	Shin H and Cho S (December-2003) How to Deal with Large Dataset, Class Imbalance and Binary Output in SVM based Response Model Korean Data Mining Conference, 93-107.
•	Shin H and Cho S (September-2003) Fast Pattern Selection Algorithm for Support Vector Classifiers: "Time Complexity Analysis" The 4th International Conference on Intelligent Data Engineering (IDEAL), Springer-Verlag, Heidelberg, LNCS 2690, 1008-1015.
•	Shin H and Cho S (July-2003) How Many Neighbors To Consider in Pattern Pre-selection for Support Vector Classifiers? IJCNN 2003, 565-570.
•	Shin H and Cho S (June-2003) Time Complexity Analysis of Fast Pattern Selection Algorithm for SVM Korean Data Mining Conference, 221-231.
•	Shin H and Cho S (May-2003) Fast Pattern Selection for Support Vector Classifiers In: PAKDD 2003, 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Berlin, Germany, 376-387.
•	Shin H and Cho S (May-2002) Decision Boundary Pattern Selection for Support Vector Machines Korean Data Mining Conference, 33-41.
•	Shin H and Cho S (May-2002) k-NN based Pattern Selection for Support Vector Classifiers Korean Industrial Engineers Conference, 645-651.
•	Shin H and Cho S (January-2002) Pattern Selection for Support Vector Classifiers In: Ideal 2002, Third International Conference on Intelligent Data Engineering and Automated Learning, Springer, Berlin, Germany, 97-103.
•	Shin H and Cho S (December-2001) Pattern Selection Using the Bias and Variance of Ensemble Korean Data Mining Conference, 56-67.
•	Shin H and Cho S (November-2001) Pattern Selection for Regression using the Bias and Variance of Ensemble Network Korean Industrial Engineers Conference, 10-19.
•	Shin H and Cho S (October-2001) Pattern Selection for Classification using the Bias and Variance of Ensemble Neural Network Korea Information Science Conference, 307-309.
•	Shin H , Lee H and Cho S (October-2000) Ensemble Learning Algorithm of Specialized Networks Korea Information Science Conference, 308-310.
•	Shin H , Lee H and Cho S (October-2000) Ensemble of Specialized Networks based on Input Space Partition Korean Operations Research and Management Science Conference, 33-36.
•	Shin H , Lee H and Cho S (July-2000) Observational Learning with Modular Networks International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Springer-Verlag, Heidelberg, LNCS 1983, 126-132.
•	Shin H , Jang M and Cho S (June-2000) Generalization Abilities of Ensemble Learning Algorithms Korean Brain Society Conference, 129-133.
•	Shin H , Jang M , Cho S , Lee B and Lim Y (April-2000) Generalization Abilities of Ensemble Learning Algorithms: OLA, Bagging, Boosting Conference on Korean Information Science, 226-228.
•	Shin H and Jhee W (April-1998) Qualitative Modeling for Data Miners Requirements Conference on the Korean Management Information Systems, 65-73.
•	Shin H and Jhee W (November-1996) Quality Prediction of Steel Products using Neural Networks Korean Expert System Society Conference, 112-124.
Contributions to books (1):
•	Shin H and Tsuda K : Prediction of Protein Function from Networks, 361-376. In: Semi-Supervised Learning, (Ed) O. Chapelle, MIT Press, Cambridge, MA, USA, (November-2006).
Theses (2):
•	Shin H : Efficient Pattern Selection for Support Vector Classifiers and its CRM Application, Seoul National University, Seoul, Korea, (February-2005). PhD thesis
•	Shin H : Qualitative Modeling for Data Miner‘s Requirement, Hong-Ik University, Seoul, Korea, (February-1998). Diplom thesis
Talks (1):
•	Shin H (March-18-2006): Machine Learning and Applications in Biology, 6th Course in Bioinformatics for Molecular Biologist, Bertinoro di Romangna, Italy.