Conference Presentations

Highlighted Representations in Recent

(2023) Jong Ho Jhee, Min-Young Song, Byung Gon Kim, Hyunjung Shin, and Soo Youn Lee. “Transformer-Based Gene Scoring Model for Extracting Representative Characteristic of Central Dogma Process to Prioritize Pathogenic Genes Applying Breast Cancer Multi-omics Data”. 2023 IEEE International Conference on Big Data and Smart Computing

(2023) Jong Ho Jhee, Myung Jun Kim, Myunggeon Park, Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin. “Fast Semi-Supervised Learning using Neighbor Mutual Information with Application to Criminal Networks”. 2023 IEEE International Conference on Big Data and Smart Computing

(2020) Dong-gi Lee, Myungjun Kim, Sang Joon Son, Chang Hyung Hong, Hyunjung Shin^*. “Dementia Key Gene Identification with Multi-Layered SNP-Gene-Disease Network”, 19th European Conference on Computational Biology 2020 (ECCB 2020)

International Conferences

[116] (2024) Myungsoo Choi, Hyunjung Shin. “Graphlet Proximity-based Negative Sampling for Graph Contrastive Learning”. 2024 Institute for Operations Research and the Management Sciences(INFORMS) Annual Meeting

[115] (2024) Junghyun Kim, Hyunjung Shin. “Deep Network Compression using Kernel Machines”. 2024 Institute for Operations Research and the Management Sciences(INFORMS) Annual Meeting

[114] (2024) Jinju Park, Hyunjung Shin. “Diffusion Domain Adaptation from Source to Target via Schrödinger Bridge”. 2024 Institute for Operations Research and the Management Sciences(INFORMS) Annual Meeting

[113] (2024) Yoonshin Kwak, Junwoo Choi, Hyunjung Shin. “Convolutional Propagation on Graph Neural Networks for Hierarchical Network”. 2024 Institute for Operations Research and the Management Sciences(INFORMS) Annual Meeting

[112] (2024) Jeongheun Yeon, Hyunjung Shin. “Enhancing Graph Contrastive Learning with Edge Distribution and Node Mutual Information”. 2024 Institute for Operations Research and the Management Sciences(INFORMS) Annual Meeting

[111] (2024) Taehwan Yun, Sangheum Cho, Hyunjung Shin. “Convolutional Similarity Network Fusion on Multiplex Graphs”. 2024 Institute for Operations Research and the Management Sciences(INFORMS) Annual Meeting

[110] (2024) Sunghong Park, Dong-gi Lee, Juhyeon Kim, Doyoon Kim, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Kanghee Park, Dokyoon Kim, Hyunjung Shin, Hyun Goo Woo.”NetPRS: SNP interaction aware network-based polygenic risk score for Alzheimer’s disease”. 2024 IEEE-EMBS International Conference on Biomedical and Health Informatics

[109] (2023) Dong-gi Lee, Sang-Hyuk Jung, Sunghong Park, Li Shen, Hyunjung Shin, Dokyoon Kim. “NetPRISBI-AD: Network-based Polygenic Risk Scoring model with Brain Imaging for Alzheimer’s Disease”. Alzheimer’s Association International Conference 2023 (AAIC’23)

[108] (2023) Taehwan Yun, Myung Jun Kim, Hyunjung Shin. “Accelerated Graph Integration with Approximation of combining Parameters”. The 9th Annual Conference on machine Learning, Optimization and Data science(LOD)

[107] (2023) Jong Ho Jhee, Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin. “Multi-Scale Heat Kernel Graph Network for Graph Classification”. The 9th Annual Conference on machine Learning, Optimization and Data science(LOD)

[106] (2023) Jong Ho Jhee, Min-Young Song, Byung Gon Kim, Hyunjung Shin, and Soo Youn Lee. “Transformer-Based Gene Scoring Model for Extracting Representative Characteristic of Central Dogma Process to Prioritize Pathogenic Genes Applying Breast Cancer Multi-omics Data”. 2023 IEEE International Conference on Big Data and Smart Computing

[105] (2023) Jong Ho Jhee, Myung Jun Kim, Myunggeon Park, Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin. “Fast Semi-Supervised Learning using Neighbor Mutual Information with Application to Criminal Networks”. 2023 IEEE International Conference on Big Data and Smart Computing

[104] (2023) Jaewon Lee, Myungjun Kim, Hyunjung Shin. “Lazy Node-Dropping Autoencoder”. 2023 IEEE International Conference on Big Data and Smart Computing

[103] (2023) Jeongheun Yeon, Jong Ho Jhee, Hyunjung Shin. “Latent Inter-relation Augment between Crimes and Criminals using Factorization Machines”. 2023 IEEE International Conference on Big Data and Smart Computing

[102] (2023) Jaehyun Kim, Hyunjung Shin. “Prediction of Recurrence Probability of Thyroid Cancer Patients using Similarity Loss based Multi-modal Autoencoder”. 2023 IEEE International Conference on Big Data and Smart Computing

[101] (2023) Taehwan Yun, Myungjun Kim, Hyunjung Shin. “Fast Integration for Multiple Graphs with Neumann Approximation”. 2023 IEEE International Conference on Big Data and Smart Computing

[100] (2022) Jong Ho Jhee, Min-Young Song, Byung Gon Kim, Hyunjung Shin and Soo Youn Lee. “Integrated Proteotranscriptomics Analysis of Breast Cancer using Variational Autoencoders to Prioritize Pathogenic Genes”. 2022 American Society of Human Genetics Annual Meeting

[99] (2022) Dong-gi Lee, Myungjun Kim, Hyun Woong Roh, Na-Rae Kim, Sang Joon Son, Chang Hyung Hong, Hyunjung Shin. “Brain Volume Prediction from SNP network with Semi-Supervised Regression”. 2022 IEEE International Conference on Big Data and Smart Computing

[98] (2022) Myungjun Kim, Dong-gi Lee, Hyunjung Shin. “Semi-supervised network regression with Gaussian process”. 2022 IEEE International Conference on Big Data and Smart Computing

[97] (2022) Dong-gi Lee, Myungjun Kim, Hyunjung Shin. “Drug Repositioning with Disease–Drug Clusters from Word Representations”. 2022 IEEE International Conference on Big Data and Smart Computing

[96] (2022) Dong-gi Lee, Junhee Cho, Myungjun Kim, Sunghong Park, Hyunjung Shin. “Learning without Lazy Weights”. 2022 IEEE International Conference on Big Data and Smart Computing

[95] (2022) Jong Ho Jhee, Hyunjung Shin. “Graph Neural Networks with Stability and Discernability”. 2022 IEEE International Conference on Big Data and Smart Computing

[94] (2022) Jaehyun Kim, Myungjun Kim, Hyunjung Shin. “Latent Feature Separation and Extraction with Multiple Parallel Encoders for Convolutional Autoencoder”. 2022 IEEE International Conference on Big Data and Smart Computing

[93] (2022) Myeonggeon Park, Sunghong Park, Hyunjung Shin. “Literature Representation using Character Networks based on Sentiment Analysis”. 2022 IEEE International Conference on Big Data and Smart Computing

[92] (2020) Dong-gi Lee, Myungjun Kim, Sang Joon Son, Chang Hyung Hong, Hyunjung Shin. “Dementia Key Gene Identification with Multi-Layered SNP-Gene-Disease Network”. 19th European Conference on Computational Biology 2020 (ECCB 2020)

[91] (2019) Sunjoo Bang, Hyunjin Shin, Sooyoung Kim, Hyunjung Shin. “Prognosis and recurrence prediction of thyroid cancer using machine learning models”. 2019 International Joint Conference on AI & Data Science: Mathematics and Applications

[90] (2019) Sunghong Park, Kanghee Park, Hyunjung Shin. “Machine Learning based Enterprise Prospect Evaluation”. 2019 International Joint Conference on AI & Data Science: Mathematics and Applicationsx

[89] (2019) Junhee Cho, Hyunjung Shin. “Learning deep neural network with active weights”. 2019 International Joint Conference on AI & Data Science: Mathematics and Applications

[88] (2019) Dong-gi Lee, Myungjun Kim, Sang Joon Son, Hyunjung Shin. “Key Gene Prediction for Dementia using Multi-layered Network of Biobank Data”. 2019 International Joint Conference on AI & Data Science: Mathematics and Applications

[87] (2019) Myungjun Kim, Sangkuk Lee, Hyunjung Shin. “Inference on Historical Factions by Parallel and Layered Integration of Human Network”. 2019 International Joint Conference on AI & Data Science: Mathematics and Applications

[86] (2019) Jong Ho Jhee, Hyunjung Shin. “Gromov-Wasserstein Distance on graphs with Heat Kernel”. 2019 International Joint Conference on AI & Data Science: Mathematics and Applications

[85] (2019) Yonghyun Nam, Dokyoon Kim, Hyunjung Shin. “Gene scoring algorithms for identifying disease candidate genes”. American Society of Human Genetics 69th Annual Meeting (ASHG 2019)

[84] (2019) Dong-gi Lee, Myungjun Kim, Sang Joon Son, Hyunjung Shin. “Key Gene Ranking for Dementia based on Multi-layered Biobank Data with Semi-Supervised Learning”. The 15th International Conference on Bioinformatics

[83] (2018) Myungjun Kim, Dong-gi Lee, Sangkuk Lee, Geun-ho Lee, Hyunjung Shin. “Inference on Political Factions based on Hierarchical Structure of Genealogy: Three Major Purges in Medieval Joseon Korea”. 43rd Annual Meeting of the Social Science History Association (SSHA 2018)

[82] (2018) Yonghyun Nam, Myungjun Kim, Hyunjung Shin. “Drug Repurposing with Network Reinforcement”. The 8th Annual Translational Bioinformatics Conference (TBC/BIOINFO 2018)

[81] (2018) Dong-gi Lee, Myungjun Kim, Hyunjung Shin. “Disease Network to Causal Disease Chains: Identifying a series of disease causalities”. The 8th Annual Translational Bioinformatics Conference (TBC/BIOINFO 2018)

[80] (2018) Sunjoo Bang, Sangjoon Son, Hyunjung Shin. “Disease Gene Identification using Graph Cut Algorithm”. The 8th Annual Translational Bioinformatics Conference (TBC/BIOINFO 2018)

[79] (2018) Yonghyun Nam, Jong Ho Jhee, Junhee Cho, Ji-Hyun Lee, Hyunjung Shin. “Priorization of Potential Disease-Genes using Generic and Disease-Specific Genome Networks”. The 8th Annual Translational Bioinformatics Conference (TBC/BIOINFO 2018)

[78] (2018) Yonghyun Nam, Jong Ho Jhee, Junhee Cho, Ji-Hyun Lee and Hyunjung Shin. “Immune disease gene ranker”. Proc. of 17th European Conference on Computational Biology 2018 (ECCB 2018)

[77] (2018) Dong-gi Lee, Myungjun Kim, Sunghong Park, Hyunjung Shin. “Causal Disease Chains from Various Biomedical data”. Proc. of 17th European Conference on Computational Biology 2018 (ECCB 2018)

[76] (2018) Sunjoo Bang, Hyunjung Shin. “Min-cut on disease pathway for target protein identification”. Proc. of 17th European Conference on Computational Biology 2018 (ECCB 2018)

[75] (2018) Junhee Cho, Yonghyun Nam, Hyunjung Shin. “Prediction for orphan drugs using the hierarchical structure of biomedical networks”. Proc. of 17th European Conference on Computational Biology 2018 (ECCB 2018)

[74] (2017) Jong Ho Jhee, Sunjoo Bang, Dong-gi Lee, Hyunjung Shin. “Comorbidity Scoring with Causal Disease Networks”. Proc. of 28th International Conference on Genome Information (GIW/BIOINFO 2017)

[73] (2017) Guo Wen Jun, Seongwook Kim, Kyungwon Lee, Changhyung Hong, Sangjoon Son, Hyunjung Shin. “Data-driven Dementia Diagnosis record visualization system”. The 10th International Symposium on Visual Information Communication and Interaction (VINCI 2017)

[72] (2017) Hyoji Ha, Jihye Lee, Hyunwoo Han, Sungyun Bae, Suhyun Lim, Sangjoon Son, Changhyung Hong, Hyunjung Shin, Kyungwon Lee. “A visualization system to subdivide Dementia Diagnosis stages”. ISMB/ECCB 2017

[71] (2017) Sungyun Bae, Seongmin Mun, Gyeongcheol Choi, Suhyun Lim, Sunjoo Bang, Sangjoon Son, Changhyung Hong, Hyunjung Shin, Kyungwon Lee. “Visualization of Decision Trees that Analyze Medical Data”. Proc. Of the Computer Graphics International 2017

[70] (2017) Jihye Lee, Hyoji Ha, Hyunwoo Han, Sungyun Bae, Kyungwon Lee, Changhyung Hong, Sangjoon Son, Hyunjung Shin. “Visual Analytics for Biomedical Cluster Subvision : A Design Study with Psychiatrists”. Proc. Of the Computer Graphics International 2017

[69] (2017) Jong Ho Jhee, Sunjoo Bang, Dong-gi Lee, Hyunjung Shin. “Comorbidity Scoring with Causal Disease Networks”. Proc. of The 28th International Conference on Genome Informatics Workshop GIW/ BIOINFO

[68] (2017) Sunghong Park, Dong-gi Lee, Hyunjung Shin. “Mirroring Disease Networks for Drug Repositioning”. Proc. of the Korean Society for Cognitive Science (KSCS 2017)

[67] (2017) Yonghyun Nam, Hyunjung Shin. “Complementation for disease network using
Heterogeneous data”. Proc. of the Korean Society for Cognitive Science (KSCS 2017)

[66] (2017) Dong-gi Lee, Hyunjung Shin. “Disease Causality Extraction with Text Mining from PubMed Abstracts”. Proc. of the Korean Society for Cognitive Science (KSCS 2017)

[65] (2017) Myungjun Kim, Yonghyun Nam, Hyunjung Shin. “Prediction Algorithm for Multi-Layered Structure of Biomedical Data”. Proc. of the Korean Society for Cognitive Science (KSCS 2017)

[64] (2017) Jong Ho Jhee and Hyunjung Shin. “Predicting the changes of financial and economic indicators based on the causal network model”. Proc. of the Korean Society for Cognitive Science (KSCS 2017)

[63] (2017) Sunjoo Bang, Hyunwoong Noh, Jihye Lee, Sungyun Bae, Kyungwon Lee, Changhyung Hong, Sangjoon Son, Hyunjung Shin. “Dementia diagnosis with quad-phased data mining”. Proc. of the Korean Society for Cognitive Science (KSCS 2017)

[62] (2016) Dong-gi Lee, SangKuk Lee, Hyunjung Shin. “Quantitative Inference on Power Mechanism based on Genealogy Network in Medieval Joseon Korea”. Proc. of 41st Annual Meeting of the Social Science History Association (SSHA 2016)

[61] (2016) Myungjun Kim, Yonghyun Nam, Hyunjung Shin. “An Inference Method from Multi-Layered Structure of Omics”. Proc. of Translational Bioinformatics Conference 2016 (TBC2016)

[60] (2016) Sunghong Park, Dong-gi Lee, Hyunjung Shin. “Network Mirroring for Drug Repositioning”. Proc. of Translational Bioinformatics Conference 2016 (TBC2016)

[59] (2016) Sunjoo Bang, Hyunwoong Noh, Jihye Lee, Sungyun Bae, Kyungwon Lee, Changhyung Hong, Sangjoon Son, Hyunjung Shin. “Quad-phased Data Mining Modeling for Dementia Diagnosis “. Proc. of Translational Bioinformatics Conference 2016 (TBC2016)

[58] (2016) Dong-gi Lee, Hyunjung Shin. “Disease Causality Extraction based on Lexical Semantics and Clause Frequency from Biomedical Literature”. Proc. of Translational Bioinformatics Conference 2016 (TBC2016)

[57] (2016) Yonghyun Nam, Oak-Sung Choo, Yu-Ri Lee, Yun-Hoon Choung, Hyunjung Shin. “Cascade Recurrent Deep Networks for Audible Range Prediction”. Proc. of Translational Bioinformatics Conference 2016 (TBC2016)

[56] (2016) Myungjun Kim, Yonghyun Nam, Hyunjung Shin. “Prediction algorithm for multi-layered structure of omics”. Proc. of 15th European Conference on Computational Biology 2016 (ECCB 2016)

[55] (2016) Dong-gi Lee, Hyunjung Shin. “Disease Causality Extraction from PubMed Literatures”. Proc. of 15th European Conference on Computational Biology 2016 (ECCB 2016)

[54] (2016) Yonghyun Nam, Dong-gi Lee, Sunjoo Bang, Hyunjung Shin. “Disease Co-occurrence Scoring with Semi-Supervised Learning”. Proc. of 15th European Conference on Computational Biology 2016 (ECCB 2016)

[53] (2016) Sunjoo Bang, Jaehoon Kim, Hyunjung Shin. “Causality Modeling for Directed Disease Network”. Proc. of 15th European Conference on Computational Biology 2016 (ECCB 2016)

[52] (2015) Yonghyun Nam, Myungjun Kim, Hyunjung Shin. “CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous BioMolecular and Clinical Data”. Proc. of Translational Bioinformatics Conference 2015 (TBC2015)

[51] (2015) Sunjoo Bang, Hyunjung Shin. “Disease Causality Network Construction based on Metabolic Pathway”. Proc. of Bio-IT World Conference & Expo’15

[50] (2015) Dong-gi Lee, Hyunjung Shin. “Human Disease network Comparison: Which is similar with which?”. Proc. of Bio-IT World Conference & Expo’15

[49] (2015) YoungHyun Nam, Hyunjung Shin. “Increasing connectivity of the human disease network”. Proc. of Bio-IT World Conference & Expo’15

[48] (2015) Hyunjung Shin. “The Human Disease Network from Bench to Bedside”. Proc. of Bio-IT World Conference & Expo’15

[47] (2014) Hyunjung Shin, Yonghyun Nam, Dong-gi Lee, Sunjoo Bang. “The Translational Disease Network—from Protein Interaction to Disease Co-occurrence”. Proc. of Translational Bioinformatics Conference 2014 (TBC2014)

[46] (2013) YoungHyun Nam, Hyunjung Shin. “A Hybrid Cancer Prognosis System based on Semi-Supervised Learning and Decision Trees “. Proc. of the 20th International Conference on Neural Information Processing (ICONIP2013)

[45] (2013) Kanghee Park and Hyunjung Shin. “Stock Price Prediction based on Hierarchical Structure of Financial Network “. Proc. of the 20th International Conference on Neural Information Processing (ICONIP2013)

[44] (2013) Dokyoon Kim, Je-Gun Joung, Kyung-Ah Sohn, Hyunjung Shin, Marylyn D. Ritchie, Ju Han Kim. “Knowledge Boosting: A graph-based integration with multi-omics data and genomic knowledge for cancer clinical outcome prediction”. Proc. of Translational Bioinformatics Conference 2013 (TBC2013)

[43] (2013) Hyunjung Shin, YoungHyun Nam. “A Coupling Approach of a Predictor and a Descriptor for Breast Cancer Prognosis”. Proc. of Translational Bioinformatics Conference 2013 (TBC2013)

[42] (2013) Dokyoon Kim, Hyunjung Shin, Je-Gun Joung, Su Yeon Lee and Ju Han Kim. “Intra-relation Reconstruction from Inter-relation: miRNA to Gene Expression”. Proc. of the 20th International Conference on Bioinformatics (InCoB 2013)

[41] (2012) Hyunjung Shin. “Computational Biology through Intra-relation, Inter-relation, and Integration of Diverse Genomic Data”. Proc. of The Asian Young Researcher Conference on Computational and Omics Biology (AYRCOB2012)

[40] (2012) Juhyeon Kim and Hyunjung Shin. “Breast Cancer Survivability Prediction with Labeled, Unlabeled, and Pseudo-Labeled Patient Data”. Proc. of Translational Bioinformatics Conference 2012 (TBC2012)

[39] (2012) Kanghee Park and Hyunjung Shin. “Forecasting Stock Price Movement with Semi-Supervised Learning”. Proc. of the 8th International Conference on Data Mining (ICDM 2012)

[38] (2012) Junwoo Lee, Juhyeon Kim and Hyunjung Shin. “Fraudulent Bill-Claim Detection inHealth Insurance”. Proc. of the 8th International Conference on Data Mining (ICDM 2012)

[37] (2012) Hyunjung Shin. “Machine Learning in Bio-Medical Informatics: Support Vector Machines and Semi-Supervised Learning”. Proc. of the 3rd International Workshop on eHealth Data and Knowledge

[36] (2011) Hyunjung Shin. “Knowledge Enhancement through Intra-relation, Interrelation, and Integration of Different Levels of Genomic Data”. Proc. of Translational Bioinformatics Conference 2011 (TBC2011)

[35] (2011) Dokyoon Kim, Hyunjung Shin, Su-Yeon Lee and Ju Han Kim. “Intra-relation Reconstruction from Inter-relation : miRNA to Gene Expression”. Proc. of Translational Bioinformatics Conference 2011 (TBC2011)

[34] (2011) Hyunjung Shin, Dokyoon Kim, Kanghee Park, and Amna Ali. “Breast Cancer Survivability Prediction with Surveillance, Epidemiology, and End Results Database”. Proc. of Translational Bioinformatics Conference 2011 (TBC2011)

[33] (2011) HangSeok Kim, Kanghee Park and Hyunjung Shin. “A Hybrid Model Development for Electricity Energy Price Prediction”. Proc. of Annual Meeting of Institute for Operations Research and the Management Sciences (INFORMS 2011)

[32] (2011) HyoungRo Lee, Kanghee Park, and Hyunjung Shin. “Electricity Demand Forecasting based on Data Mining Algorithms”. Proc. of Annual Meeting of Institute for Operations Research and the Management Sciences (INFORMS 2011)

[31] (2011) Mingoo Kim, Hyunjung Shin, Taesu Chung, Je-Gun Joung and JuHan Kim. “Extracting Regulatory Modules from Gene Expression Data by Sequential Pattern Mining”. Proc. of 10th Joint Conference on the International Conference on Bioinformatics /the International Society for Computational Biology (InCoB/ISCB-Asia 2011)

[30] (2011) Hyunjung Shin. “Heterogeneous Multiple Genomic Data Integration for Translational Bioinformatics: the TCGA”. Proc. of 9th Asia Paciﬁc Bioinformatics Conference & 7th Conference on Biomedical Informatics (APBC2011–CBI)

[29] (2011) YoungSoo Song, ChanHee Park, HeeJoon Chung, Hyunjung Shin and JuHan Kim. “Semantically enabled and statistically supported biological hypothesis testing with tissue microarray databases”. Proc. of 9th Asia Paciﬁc Bioinformatics Conference & 7th Conference on Biomedical Informatics

[28] (2010) Hyunjung Shin. “Recent Trends on Semi-Supervised Learning with Kernels”. Proc. of International Workshop on Recent Trends in Learning, Computation, and Finance

[27] (2010) Yeolwoo An, HangSeok Kim, and Hyunjung Shin. “Health-Care Fraud Detection with Machine Committee”. Proc. of Annual Meeting of Institute for Operations Research and the Management Sciences

[26] (2010) DoKyoon Kim, YoungSoo Song, JuHan Kim, and Hyunjung Shin. “Empirical comparison on heterogeneous genomic data: Copy Number Variation, Methylation, miRNA, and Gene Expression”. Proc. of Annual Meeting of Institute for Operations Research and the Management Sciences

[25] (2010) Kanghee Park, HyoungRo Lee, and Hyunjung Shin. “Stock Price Prediction using Hierarchical Network Structure”. Proc. of Annual Meeting of Institute for Operations Research and the Management Sciences

[24] (2010) Yeolwoo An and Hyunjung Shin. “Machine Committee Review for Medical Bill-Claim Abuser Detection”. Proc. of KSII International Conference on Internet

[23] (2010) DoKyoon Kim, YoungSoo Song, JuHan Kim, and Hyunjung Shin. “Genomic Data Comparison: Which Data is More Informative?”. Proc. of KSII International Conference on Internet

[22] (2010) Irfan Ahmed, Kyung-suk Lhee, Hyunjung Shin, and ManPyo Hong. “Fast content-based ﬁle-type identiﬁcation”. Proc. of the Seventh IFIP WG 11.9 International Conference on DigitalForensics

[21] (2010) Irfan Ahmed, Kyung-suk Lhee, Hyunjung Shin, ManPyo Hong. “Fast File-type Identiﬁcation”. Proc. of the 25th ACM Symposium On Applied Computing (ACM SAC 2010)/ACM Special Interest Group on Applied Computing (ACM SIGAPP)

[20] (2009) Hyunjung Shin. “Machine Learning and Applications in Biology”. Proc. of 10th CBI–KSBSB International Joint Conference (CBI-KSBSB 2009)/Chem-Bio Informatics Society(CBI)–Korean Society for Bioinformatics and Systems Biology(KSBSB)

[19] (2009) Hyunjung Shin, Tianya Hou, and Kanghee Park. “Oil Price Prediction From Inﬂuence Propagation”. Proc. of Annual Meeting of Institute for Operations Research and the ManagementSciences (INFORMS 2009)

[18] (2009) Hyunjung Shin and Junwoo Lee. “How to Integrate the Diverse Measures for Hospital Fraud Detection?”. Proc. of Annual Meeting of Institute for Operations Research and the Management Sciences (INFORMS 2009)

[17] (2009) Tadesse Anberbir, Hyunjung Shin, and DongYoon Kim. “Decision Tree Based SegmentalDuration Prediction for Amharic TTS system”. Proc. of The IEEE 9th International Symposium on Communication and Information Technologies (ISCIT 2009)

[16] (2009) Hou Tianya, Hyunjung Shin. “Inﬂuence of Noisy and High-Dimensional Data on Semi-Supervised Learning”. Proc. of The 5th International Conference on Data Mining (ICDM 2009)

[15] (2009) Irfan Ahmed, Kyung-suk Lhee, Hyunjung Shin, ManPyo Hong. “On improving the accuracy and performance of content based ﬁle type identiﬁcation”. Lecture Notes in ComputerScience (LNCS 5594)/14th Australasian Conference on Information Security and Privacy (ACISP 2009)

[14] (2008) Umer Khan, Hyunjung Shin, Minkoo Kim. “wFDT – Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability”. Proc. of the seventh Australasian Data Mining(2008 ACM AusDM)

[13] (2008) Inae Choi and Hyunjung Shin. “Semi-supervised Learning with Ensemble Learning and Graph Sharpening”. Lecture Notes in Computer Science (LNCS 5326)/The IEEE 9th International Conference on Intelligent Data Engineering and Automated Learning (IEEE IDEAL 2008)

[12] (2008) Muhammad Umer Khan, Jong-Pill Choi, Hyunjung Shin and Minkoo Kim. “Predicting Breast Cancer Survivability Using Fuzzy Decision Trees for Personalized Healthcare”. Proc. of The 30th Annual International Conference of the IEEE Engineering in Medicine and BiologySociety (IEEE EMBC 2008)

[11] (2008) Hyoungjoo Lee, Hyunjung Shin, Seong-seob Hwang, Sungzoon Cho. “Semi-Supervised Learning for Response Modeling.”. Proc. of 2008 INFORMS Marketing Science Conference

[10] (2007) Hyunjung Shin. “Machine Learning and Applications in Biology”. Proc. of BIOKOREA

[9] (2007) Hyunjung Shin, Andreas Martin Lisewski, and Olivier Lichtarge. “Graph-based Protein Functional Classiﬁcation”. Proc. of the 2007 World Congress in Computer Science, Computer En-gineering, & Applied Computing: BIOCOMP’07–The 2007 International Conference on Bioin-formatics & Computational Biology

[8] (2006) Hyunjung Shin, N. Jeremy Hill and Gunnar Raetsch. “Graph-based Semi-Supervised Learning with Sharper Edges”. Proc. of the 17th European Conference on Machine Learning and 10th European on Principles and Practice of Knowledge Discovery in Databases

[7] (2005) Koji Tsuda, Hyunjung Shin, and Bernhard Scholkopf. “Fast Protein Classiﬁcation with Multiple Networks”. Proc. of the Fourth European Conference on Computational Biology (ECCB)

[6] (2004) Hyunjung Shin and Sungzoon Cho. “Preservation of Neighborhood Relation under Input to Feature Space Mapping in SVM Training”. Proc. of the 33rd International Conference on Computers and Industrial Engineering (C&IE)

[5] (2003) Hyunjung Shin and Sungzoon Cho. “Fast Pattern Selection Algorithm for Support Vector Classiﬁers: Time Complexity Analysis”. Proc. of the Fourth International Conference on Intelligent Data Engineering and Automated Learning

[4] (2003) Hyunjung Shin and Sungzoon Cho. “Fast Pattern Selection for Support Vector Classiﬁers”. Proc. of the Seventh Paciﬁc-Asia Conference on Knowledge Discovery and Data Mining

[3] (2003) Hyunjung Shin and Sungzoon Cho. “How Many Neighbors To Consider in Pattern Pre-selection for Support Vector Classiﬁers?”. Proc. of INNS-IEEE International Joint Conference on Neural Networks (IJCNN)

[2] (2002) Hyunjung Shin and Sungzoon Cho. “Pattern Selection for Support Vector Classiﬁers”. Proc. of the Third International Conference on Intelligent Data Engineering and Automated Learning

[1] (2000) Hyunjung Shin, Hyungjoo Lee and Sungzoon Cho. “Observational Learning with Modular Networks”. Proc. of the Second International Conference on Intelligent Data Engineering and Automated Learning

Domestic Conferences

[214] (2024) Myungsoo Choi, Hyunjung Shin. “그래플렛 커널을 활용한 그래프 대조학습”. Proc. of Korea Computer Congress 2024 (KCC2024)

[213] (2024) Junghyun Kim, Hyunjung Shin. “커널 머신을 활용한 지식증류 기법”. Proc. of Korea Computer Congress 2024 (KCC2024)

[212] (2024) Jinju Park, Hyunjung Shin. “슈뢰딩거 브릿지 디퓨전 모델을 활용한 소스-타겟 도메인 적응 방법”. Proc. of Korea Computer Congress 2024 (KCC2024)

[211] (2024) Yoonshin Kwak, Hyunjung Shin. “그래프 합성전파 네트워크”. Proc. of Korea Computer Congress 2024 (KCC2024)

[210] (2024) Jeongheun Yeon, Hyunjung Shin. “그래프 자기지도학습을 위한 동류적 네거티브 샘플링”. Proc. of Korea Computer Congress 2024 (KCC2024)

[209] (2024) Juhyeon Kim, Hyunjung Shin. “유연한 가중치 보존을 통한 지속 학습”. Proc. of Korea Computer Congress 2024 (KCC2024)

[208] (2024) Myungsoo Choi, Hyunjung Shin. “그래프 수준 대조학습을 위한 네거티브 샘플 차별화”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2024)

[207] (2024) Junghyun Kim, Hyunjung Shin. “딥러닝 모델 경량화를 위한 중요 노드 선정 방법”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2024)

[206] (2024) Jinju Park Hyunjung Shin. “디퓨전 모델을 활용한 도메인 적응방법론”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2024)

[205] (2024) Yoonshin Kwak, Hyunjung Shin. “레이블 전파를 결합한 그래프 합성곱 신경망”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2024)

[204] (2024) Taehwan Yun, Boyeon Park, Hyunjung Shin. “그래프 합성곱 연산을 활용한 다중 그래프 융합 프로세스”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2024)

[203] (2024) Jeongheun Yeon, Hyunjung Shin. “엣지 분포를 활용한 네거티브 노드 샘플링”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2024)

[202] (2023) Jinju Park, Taehwan Yun, Kanghee Park, Hyunjung Shin. “뉴스 기사 감성분석을 통한 네트워크 기반 네트워크 기반 공급망 위험도 스코어링 알고리즘”. Korea Software Congress 2023 (KSC 2023)

[201] (2023) Jeongheun Yeon, Hyunjung Shin. “자기지도학습기반 그래프 임베딩을 위한 네거티브 샘플링 알고리즘”. Korea Software Congress 2023 (KSC 2023)

[200] (2023) Taehwan Yun, Hyunjung Shin. “그래프 합성곱 연산을 활용한 융합 프로세스”. Korea Software Congress 2023 (KSC 2023)

[199] (2023) Jinju Park, Taehwan Yun, Kanghee Park, Hyunjung Shin. “글로벌 뉴스 데이터를 활용한 네트워크 기반 공급망 위기 감지 알고리즘”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2023 Fall)

[198] (2023) Yoonshin Kwak, Junghyun Kim, Hyunjung Shin. “네트워크 기반 기계학습을 활용한 차량 내장재 냄새품질 관리”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2023 Fall )

[197] (2023) Jeongheun Yeon, Myungsoo Choi, Hyunjung Shin. “토픽모델링 기반 보이스피싱 유형 분류 및 탐지”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2023 Fall )

[196] (2023) Taehwan Yun, Jinju Park, Kanghee Park, Hyunjung Shin. “원부자재 공급망 이상 징후 감지를 위한 뉴스 기반 국가간 감성 분석”.Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2023 Fall )

[195] (2023) Taehwan Yun, Hyunjung Shin. “Graph Convolutional Networks with Graph Integration”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2023 Summer)

[194] (2023) Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin. “자기지도학습 기반의 그래프 임베딩 성능 개선을 위한 마지널 노드 인디케이터를 활용한 네거티브 샘플링”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2023 Summer)

[193] (2023) Yoonshin Kwak, Jong Ho Jhee, Hyunjung Shin. “스펙트럴 분석을 활용한 그래프 신경망 은닉층 범위 결정 방법”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2023 Summer)

[192] (2023) Jong Ho Jhee, Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin. “Crime Network based Fast Prediction of Criminal Suspects with Neighbor Mutual Information”. Proc. of the Korea Institute of Industrial Engineers Conference (KIIE 2023)

[191] (2023) Juhyeon Kim, Hyunjung Shin. “Continual Learning: rEWC”. Proc. of the Korea Institute of Industrial Engineers Conference (KIIE 2023)

[190] (2023) Taehwan Yun, Hyunjung Shin. “Graph Convolutional Networks with Multiple Graphs”. Proc. of the Korea Institute of Industrial Engineers Conference (KIIE 2023)

[189] (2023) Jeongheun Yeon, Jong Ho Jhee, Hyunjung Shin. “자기지도학습에 적용 가능한 그래프이웃상호정보량 기반의 네거티브 샘플링”. Proc. of the Korea Institute of Industrial Engineers Conference (KIIE 2023)

[188] (2023) Yoonshin Kwak, Jong Ho Jhee, Hyunjung Shin. “스펙트럴 분석을 활용한 그래프 신경망 구조 결정”. Proc. of the Korea Institute of Industrial Engineers Conference (KIIE 2023)

[187] (2022) Jonghyun Jin, Myungjun Kim, Hyunjung Shin. “전역 참조 그래프 합성곱 신경망”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2022 Summer)

[186] (2022) Taehwan Yun, Myungjun Kim, Hyunjung Shin. “Semi-Supervised Graph Fusion with Maximum Likelihood Estimation”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2022 Summer)

[185] (2022) Jeongheun Yeon, Jong Ho Jhee, Hyunjung Shin. “범죄 네트워크의 인물-사건 간 잠재관계 보강을 위한 Factorization Machines”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2022 Summer)

[184] (2022) Jaewon Lee, Myungjun Kim, Hyunjung Shin. “Feature Compression using Node-Dropping Autoencoder”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2022 Summer)

[183] (2022) Jaehyun Kim, Hyunjung Shin. “유사도 손실 함수를 활용한 임베딩 안정화 오토인코더”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2022 Summer)

[182] (2022) Jeongheun Yeon, Jong Ho Jhee, Hyunjung Shin. “DeepLinker with Factorization Machines”. The AI Korea 2022

[181] (2022) Taehwan Yun, Myungjun Kim, Hyunjung Shin. “Semi-Supervised Graph Fusion with Combining Parameter Approximation”. The AI Korea 2022

[180] (2022) Jonghyun Jin, Myungjun Kim, Hyunjung Shin. “Graph Convolutional Neural Networks with Less Layers but More Neighbors”. The AI Korea 2022

[179] (2022) Jaewon Lee, Myungjun Kim, Hyunjung Shin. “Autoencoder with Activated Bottleneck Nodes”. The AI Korea 2022

[178] (2022) Jaehyun Kim, Hyunjung Shin. “Autoencoder for Stable Embedding”. The AI Korea 2022

[177] (2022) Jong Ho Jhee, Hyunjung Shin. “Graph Convolutional Networks with Consistency and Discernability”. The AI Korea 2022

[176] (2022) Myungjun Kim, Hyunjung Shin. “Classification of historical factions over human network with parallel and layered integration”. The AI Korea 2022

[175] (2022) Jaehyun Kim, Myungjun Kim, Hyunjung Shin. “유사도 손실 함수를 적용한 저변동 임베딩 오토인코더”. Proc. of Korea Computer Congress 2022 (KCC2022)

[174] (2022) Sunghong Park, Dong-gi Lee, Changhyung Hong, Hyunjung Shin. “알츠하이머병 진행 예측을 위한 전향적 분류 알고리즘”. Proc. of Korea Computer Congress 2022 (KCC2022)

[173] (2022) Sunghong Park, Kanghee Park, Hyunjung Shin. “준지도학습을 위한 도메인 적응 기반 다중 그래프 통합”. Proc. of Korea Computer Congress 2022 (KCC2022)

[172] (2022) Sunghong Park, Sang Joon Son, Yonghyun Nam, Hyunjung Shin. “다중 도메인 적응을 활용한 알츠하이머병 진행 예측”. Proc. of Korea Computer Congress 2022 (KCC2022)

[171] (2022) Taehwan Yun, Myungjun Kim, Hyunjung Shin. “연결 매개변수 근사 추정을 통한 그래프 통합 방법”. Proc. of Korea Computer Congress 2022 (KCC2022)

[170] (2022) Jonghyun Jin, Myungjun Kim, Hyunjung Shin. “그래프 합성곱 잠재 레이블 전파 신경망”. Proc. of Korea Computer Congress 2022 (KCC2022)

[169] (2022) Sunghong Park, Kanghee Park, Hyunjung Shin. “도메인 적응 기반 다중 그래프 통합을 활용한 준지도학습”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2022)

[168] (2022) Sunghong Park, Sang Joon Son, Yonghyun Nam, Hyunjung Shin. “다중 도메인 적응을 활용한 치매 진행 예측”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2022)

[167] (2022) Sunghong Park, Dong-gi Lee, Changhyung Hong, Hyunjung Shin. “치매진행 예측을 위한 전향적 분류 알고리즘”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2022)

[166] (2022) Jeongheun Yeon, Jong Ho Jhee, Hyunjung Shin. “Factorization Machines을 통한 범죄 및 인물 간의 잠재 관계 보강 방법”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2022)

[165] (2022) Taehwan Yun, Myungjun Kim, Hyunjung Shin. “Fast Integration for Multiple Networks with Combining Parameter Approximation”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2022)

[164] (2022) Jaewon Lee, Myungjun Kim, Hyunjung Shin. “Autoencoder with Activated Bottleneck Nodes”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2022)

[163] (2022) Jonghyun Jin, Myungjun Kim, Hyunjung Shin. “Graph convolutional neural network with label propagation”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2022)

[162] (2022) Jaehyun Kim, Myungjun Kim, Hyunjung Shin. “유사도 손실 기반의 오토인코더를 활용한 갑상선 암 환자의 재발 가능성 예측”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2022)

[161] (2021) Jong Ho Jhee, Hyunjung Shin. “Graph Neural Networks with Heat Kernel Stabilization”. Korea Software Congress 2021 (KSC2021)

[160] (2021) Myungjun Kim, Hyunjung Shin. “Error analysis on approximate graph-based semi-supervised learning”. Korea Software Congress 2021 (KSC2021)

[159] (2021) Jaehyun Kim, Jaewon Lee, Hyunjung Shin. “멀티모달 오토인코더를 활용한 갑상선암 재발 예측”. Korea Software Congress 2021 (KSC2021)

[158] (2021) Jong Ho Jhee, Myungjun Kim, Myunggeon Park, Hyunjung Shin. “이종 정보 통합 데이터를 활용한 계층적 범죄 네트워크 분석”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2021 Fall)

[157] (2021) Jong Ho Jhee, Myungjun Kim, Myeonggeon Park, Hyunjung Shin. “이종데이터 연계 기반 계층적 범죄 네트워크 분석”. 제2회 한국 인공지능 학술대회

[156] (2021) Myeonggeon Park, Sunghong Park, Hyunjung Shin. “감성 분석을 활용한 네트워크 기반 소설 텍스트 임베딩”. Proc. of Korea Computer Congress 2021 (KCC2021)

[155] (2021) Jaehyun Kim, Myungjun Kim, Hyunjung Shin. “멀티헤드 컨볼루셔널 오토인코더와 k-평균 군집화를 활용한 건축물 이미지 군집화”. Proc. of Korea Computer Congress 2021 (KCC2021)

[154] (2021) Taekyung Ha, Hyunjung Shin. “변분 평활법과 오토인코더를 이용한 반도체 설비 이상탐지”. Proc. of Korea Computer Congress 2021 (KCC2021)

[153] (2021) Myungjun Kim, Dong-gi Lee, Jiyeon Lim, Hyunjung Shin. “Semi-supervised regression using network-based Gaussian process”. Proc. of Korea Computer Congress 2021 (KCC2021)

[152] (2021) Taekyung Ha, Hyunjung Shin. “변분평활법과 오토인코더를 이용한 반도체 설비 이상탐지”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2021)

[151] (2021) Jong Ho Jhee, Myungjun Kim, Myung-Sun Baek, Hyunjung Shin. “계층적 모델을 이용한 범죄 네트워크 분석”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2021)

[150] (2021) Myungjun Kim, Dong-gi Lee, Sangkuk Lee, Hyunjung Shin. “Historical Faction Identification with Hierarchcial Genelaogy Network of Joseon Korea”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2021)

[149] (2021) Sunghong Park, Myungjun Kim, Hyunjung Shin. “상호 레이블 전파를 위한 도메인 적응 기반 준지도학습”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2021)

[148] (2021) Myeonggeon Park, Sunghong Park, Hyunjung Shin. “문학 작품 표현을 위한 네트워크 기반 감성 분석”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2021)

[147] (2021) Dong-gi Lee, Myungjun Kim, Sunghong Park, Hyunjung Shin. “그래프 데이터의 엣지 차원 및 방향성 예측 방법”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2021)

[146] (2021) Jaehyun Kim, Myungjun Kim, Hyunjung Shin. “멀티헤드 컨볼루셔널 오토인코더를 활용한 건축물 이미지 군집화”. Proc. of Korean Institute of Industrial Engineers Conference (KIIE 2021)

[145] (2020) Dong-gi Lee, Sunghong Park, Myungjun Kim, Hyunjung Shin. “엣지 차원 추론을 통한 노드간 방향성 예측”. Korea Software Congress 2020 (KSC2020)

[144] (2020) Myungjun Kim, Jaehyun Kim, Hyunjung Shin. “Multilevel Semi-Supervised Regression with Hierarchically Structured Networks “. Korea Software Congress 2020 (KSC2020)

[143] (2020) Sunghong Park, Myungjun Kim, Hyunjung Shin. “상호 준지도학습”. Korea Software Congress 2020 (KSC2020)

[142] (2020) Sunjoo Bang, Jong Ho Jhee, Hyunjung Shin. “그래프 어텐션 네트워크 기반 노드 변수 추출 방법론을 활용한 다약제 복용 예측”. Korea Software Congress 2020 (KSC2020)

[141] (2020) Myeonggeon Park, Sunghong Park, Sunjoo Bang, Hyunjung Shin. “등장인물 감성 네트워크에 기반한 소설 작품 군집화”. Korea Software Congress 2020 (KSC2020)

[140] (2020) Jong Ho Jhee, Hyunjung Shin. “최근접 이웃 참조 기반 그래프 신경망”. Korea Software Congress 2020 (KSC2020)

[139] (2020) Myeonggeon Park, Sunghong Park, Sunjoo Bang, Hyunjung Shin. “등장인물 네트워크에 기반한 소설 작품 벡터 추출”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2020 Fall)

[138] (2020) Sunjoo Bang, Jong Ho Jhee, Hyunjung Shin. “변수 중요도를 차등하게 학습하는 그래프 뉴럴 네트워크를 활용한 다 약제 복용 부작용 예측”. Korea Computer Congress 2020 (KCC2020)

[137] (2020) Jong Ho Jhee, Myungjun Kim, Hyunjung Shin. “계층적 모델을 활용한 이종데이터 연계형 범죄 네트워크 분석”. Korea Computer Congress 2020 (KCC2020)

[136] (2020) Myungjun Kim, Hyunjung Shin. “Network based regularization for semi-supervised regression”. Korea Computer Congress 2020 (KCC2020)

[135] (2019) Dong-gi Lee, Myungjun Kim, Sang Joon Son, Hyunjung Shin. “질병-유전자-SNP 계층 네트워크에서의 준지도학습을 이용한 치매 관련 핵심 유전자 추천”. Korea Software Congress 2019 (KSC2019)

[134] (2019) Junhee Cho, Hyunjung Shin. “활성 가중치만을 이용한 딥 네트워크 학습”. Korea Software Congress 2019 (KSC2019)

[133] (2019) Jong Ho Jhee, Sunghong Park, Hyunjung Shin. “Graph Classification with Gromov-Wasserstein Distance via Heat Kernel”. Korea Software Congress 2019 (KSC2019)

[132] (2019) Myungjun Kim, Dong-gi Lee, Sangkuk Lee, Hyunjung Shin. “Historical Faction Identification with Parallel and Layered Integration of Human Network”. Korea Software Congress 2019 (KSC2019)

[131] (2019) Kyunghoon Jung, Hyunjung Shin, Sunjoo Bang. “거식증의 원인은 무엇인가: 정신분석, 신경과학, 텍스트 마이닝의 통합적 연구”. 2019년 하반기 공동학술대회 <정신증, 조현병은 무엇인가?>

[130] (2019) Junhee Cho, Hyunjung Shin. “활성가중치를 활용한 딥네트워크 학습”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2019 Fall)

[129] (2019) Junhee Cho, Sunghee Choi, Hyunjung Shin. “머신러닝 기반 한국 가정의 거주용 전기 사용량 주요 요인 분석 및 단기 예측 연구”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2019 Fall)

[128] (2019) Sunghong Park, Kanghee Park, Hyunjung Shin. “기계학습 기반 기업평가 및 잠재유망지수 설계”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2019 Fall)

[127] (2019) Sunjoo Bang, Hyunjin Shin, Sooyoung Kim, Hyunjung Shin. “기계학습 알고리즘을 활용한 갑상선암 재발의 위험요소 추출 및 예측모델 개발”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2019 Fall)

[126] (2019) Sunjoo Bang, Sooyoung Kim, Hyunjung Shin. “갑상선암 환자 프로파일링 및 진료 가이드 제안”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2019 Spring)

[125] (2019) Myungjun Kim, Hyunjung Shin. “Error Analysis for Hierarchical Semi-Supervised Learning”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2019 Spring)

[124] (2018) Myungjun Kim, Dong-gi Lee, Hyunjung Shin. “Historical Faction Identification based on Multi-Layered Genealogy Network in Medieval Joseon Korea”. Korea Software Congress 2018 (KSC2018)

[123] (2018) Jong Ho Jhee, Hyunjung Shin. “Wasserstein 거리를 이용한 feature selection”. Korea Software Congress 2018 (KSC2018)

[122] (2018) Yukyung Shin, Hyunjoon Shin, Hyunjung Shin. “결측치 대체를 위한 상관성 그래프 기반 속성값 전파”. Korea Software Congress 2018 (KSC2018)

[121] (2018) Sunghong Park, Kanghee Park, Hyunjung Shin. “재무정보를 활용한 기계학습 기반 기업평가 모델 설계”. Korea Software Congress 2018 (KSC2018)

[120] (2018) Junhee Cho, Yonghyun Nam, Hyunjung Shin. “바이오메디컬 네트워크를 이용한 다중 예측 시스템”. Korea Software Congress 2018 (KSC2018)

[119] (2018) Sunghong Park, Kanghee Park, Hyunjung Shin. “준지도학습을 활용한 재무정보기반 기업 평가모델설계”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall)

[118] (2018) Myungjun Kim, Hyunjung Shin. “최소에러를 활용한 오토인코드 가중치 학습”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall)

[117] (2018) Dong-gi Lee, Myungjun Kim, Hyunjung Shin. “다양한 바이오메디컬 데이터를 활용한 질병 인과관계 체인 탐색”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall)

[116] (2018) Junhee Cho, Yonghyun Nam, Hyunjung Shin. “바이오메디컬 계층네트워크 기반 희귀의약품 예측”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall)

[115] (2018) Dong-gi Lee, Sangjoon Son, Hyunjung Shin. “SNP-유전자-질병 계층적 네트워크를 이용한 치매 관련 핵심 유전자 순위화”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall)

[114] (2018) Sunghong Park, Dong-gi Lee, Hyunjung Shin. “준지도학습을 활용한 SentiWordNet기반 한글 감성사전 구축”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall)

[113] (2018) Sunjoo Bang, Hyunjung Shin. “복합 핵심 유전자 탐색을 위한 Min-cut 알고리즘을 활용한 질병 대사경로 분석 방법”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall)

[112] (2018) Yonghyun Nam, Dong-gi Lee, Hyunjung Shin. “데이터마이닝을 통한 북한 내 상황인지 요소간 관계분석 기법 연구”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall)

[111] (2018) Yukyung Shin, Hyunjoon Shin, Hyunjung Shin. “Missing Value Imputation with Correlation Graph based Attribute Value Propagation”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall)

[110] (2018) Junhee Cho, Yonghyun Nam, Hyunjung Shin. “바이오메디컬 네트워크의 계층구조를 활용한 희귀질환 약물 예측”. Proc. of Korea Computer Congress 2018 (KCC2018)

[109] (2018) Jong Ho Jhee, Hyunjung Shin. “Wasserstein Loss를 이용한 모델 파라미터 학습”. Proc. of Korea Computer Congress 2018 (KCC2018)

[108] (2018) Yonghyun Nam, Jong Ho Jhee, Junhee Cho, Ji-Hyun Lee and Hyunjung Shin. “유전체 네트워크의 일반성과 특이성을 반영한 질환-유전자 예측”. Proc. of Korea Computer Congress 2018 (KCC2018)

[107] (2018) Sunghong Park, Dong-gi Lee, Hyunjung Shin. “SentiWordNet을 활용한 기계학습 기반 한글 감성사전 구축”. Proc. of Korea Computer Congress 2018 (KCC2018)

[106] (2018) Sunjoo Bang, Hyunjung Shin. “Min-cut 알고리즘을 활용한 질병 대사경로 분석 방법”. Proc. of Korea Computer Congress 2018 (KCC2018)

[105] (2018) Myungjun Kim, Hyunjung Shin. “의사역행렬을 활용한 오코인코더 가중치 학습”. Proc. of Korea Computer Congress 2018 (KCC2018)

[104] (2018) Dong-gi Lee, Myungjun Kim, Sunghong Park, Hyunjung Shin. “k-최단 경로 탐색 알고리즘을 이용한 질병 인과관계 체인 탐색 방법”. Proc. of Korea Computer Congress 2018 (KCC2018)

[103] (2018) Sunghong Park, Junhee Cho, Hyunjung Shin. “기계학습을 통한 감성사전 구축 및 고객 평가분석”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2018 Spring)

[102] (2017) Dong-gi Lee, Hyunjung Shin. “혼합 텍스트 클러스터를 통한 매칭 조합 공간 축소”. Proc. of The Korean Software Congress 2017

[101] (2017) Sunghong Park, Hyunjung Shin. “감성분석에서의 단어의 극성확장 및 감정유발요소 분석”. Proc. of The Korean Software Congress 2017

[100] (2017) Yonghyun Nam, Hyunjung Shin. “이질적 데이터를 활용한 네트워크 강화”. Proc. of The Korean Software Congress 2017

[99] (2017) Myungjun Kim, Hyunjung Shin. “다계층 네트워크 준지도학습 근사해에 대한 에러분석”. Proc. of The Korean Software Congress 2017

[98] (2017) Dong-gi Lee, SangKuk Lee, Myungjun Kim, Hyunjung Shin. “기계학습을 통한 조선시대 훈구파와 사림파의 대립 양상 추론”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2017 Spring)

[97] (2017) Jong Ho Jhee, Hyunjung Shin. “인과관계 네트워크 모델에 기반한 금융경제 지표의 등락예측”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2017 Spring)

[96] (2017) Dong-gi Lee, SangKuk Lee, Myungjun Kim, Hyunjung Shin. “Historical Big Data Analysis with Machine Learning: Quantitative Inference on Power Mechanism in Medieval Joseon Korea”. The AHIRG (Ajou History-oriented Interdisciplinary Research Group) Conference
From Qualitative Research To Quantitative Research: Diffusion of Digital History and Comparative Research

[95] (2016) Sunjoo Bang, Yoon-jung Shin, Hyunjung Shin. “A study of disease causality using gene, clinical, metabolic pathway data”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2016 Fall)

[94] (2016) Sunghong Park, Dong-gi Lee, Hyunjung Shin. “Machine Learning Algorithm for Drug Repositioning”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2016 Fall)

[93] (2016) Hyunjung Shin. “Diverse Machine Learning Applications based on Disease Networks”. Proc. of the BIOINFO 2016 (BIOINFO 2016)

[92] (2016) Sunjoo Bang, Jae-hoon Kim, Hyunjung Shin. “Directed Network for Causalities between Diseases using Biomedical Data”. Proc. of the BIOINFO 2016 (BIOINFO 2016)

[91] (2016) Myungjun Kim, Yonghyun Nam, Hyunjung Shin. “An inference algorithm using inter-connectivity in multi-layered structure of omics”. Proc. of the BIOINFO 2016 (BIOINFO 2016)

[90] (2016) Dong-gi Lee, Hyunjung Shin. “Causal Disease Network via Biomedical Literature Mining”. Proc. of the BIOINFO 2016 (BIOINFO 2016)

[89] (2016) Yonghyun Nam, Oak-Sung Choo, Yu-Ri Lee, Yun-Hoon Choung, Hyunjung Shin. “Audible range prediction for hearing aids using neural networks”. Proc. of the BIOINFO 2016 (BIOINFO 2016)

[88] (2016) Yonghyun Nam, Myungjun Kim, Hyunjung Shin. “Complementation for Disease Network using Semi-Supervised Learning”. Proc. of the BIOINFO 2016 (BIOINFO 2016)

[87] (2016) Sunghong Park, Dong-gi Lee, Hyunjung Shin. “Drug Repositioning with Disease Network Reflection”. Proc. of the BIOINFO 2016 (BIOINFO 2016)

[86] (2016) Myungjun Kim, Yonghyun Nam, Sangkuk Lee, Hyunjung Shin. “Semi-Supervised Learning using inter-connectivity in a Hierarchical Network”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2016 Spring)

[85] (2016) Sunjoo Bang, Sangjoon Son, Changhyung Hong, Hyunjung Shin. “Clinical Decision Support System for Dementia Diagnosis”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2016 Spring)

[84] (2016) Dong-gi Lee, Sangkuk Lee, Hyunjung Shin. “Machine Learning Inference on Power Mechanism: The Annals of the Joseon Dynasty and The Genealogy of Andong Gwôn clan”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2016 Spring)

[83] (2016) Yonghyun Nam, Oksung Choo, Yeonhoon Jung, Hyunjung Shin. “Cascade recurrent neural network for audible range prediction”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2016 Spring)

[82] (2016) Yunjeung Shin, Yeonsoo Kim, Chanmin Park, Younghwan Ko, Donghwan Kyung, Dong-gi Lee, Hyunjung Shin. “Upcoming pomiculture and plantation zone recommendation”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2016)

[81] (2016) Sodam Kim, Kangyoon Kim, Jehoon Jung, Eunhyung Um, Sunjoo Bang, Hyunjung Shin. “Construction of effective drone transport systems for island regions”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2016)

[80] (2016) Jiwoo Han, Kangsik Shin, Kilyong Lee, Kyunghye Kim, Minsoo Kim, Sunghong Park, Hyunjung Shin. “Development plan for successful PyeongChang 2018 Olympic”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2016)

[79] (2016) Sunghong Park, Dong-gi Lee, Hyunjung Shin. “Network Mirroring for Drug Repositioning”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2016)

[78] (2016) Myungjun Kim, Yonghyun Nam, Sangkuk Lee, Hyunjung Shin. “Semi-Supervised Learning for Stratified Networks”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2016)

[77] (2016) Sunjoo Bang, Sangjoon Son, Changhyung Hong, Hyunjung Shin. “Tri-phase Data Mining Modeling for Dementia Diagnosis”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2016)

[76] (2016) Dong-gi Lee, Sangkuk Lee, Hyunjung Shin. “준지도 학습을 활용한 역사 데이터 기반 권력 메커니즘 추론”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2016)

[75] (2016) Yonghyun Nam, Oksung Choo, Yeonhoon Jung, Hyunjung Shin. “Audible range prediction for hearing aids using cascade recurrent neural networks”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2016)

[74] (2015) Sunjoo Bang and Hyunjung Shin. ” Causality Modeling for Directed Disease Network: Pathway based Causality Model”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2015 Fall)

[73] (2015) Dong-gi Lee and Hyunjung Shin. “Causal Relation Extraction between Diseases from Biomedical Literatures”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2015 Fall)

[72] (2015) Sunjoo Bang, Sunghong Park, Hyunjung Shin. “Directed Graph Construction using External Data”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2015)

[71] (2015) Dong-gi Lee, Hyunjung Shin. “Diverse Network Comparison Measurements”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2015)

[70] (2015) Young-gyun Ahn, Sengmin Park, Mujin Shim, Hyunjung Shin. “Carbon Emission Prediction and Transaction Plans”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2015)

[69] (2015) Headoo Jung, Youngbin Choi, Teajun You, Sengbin Kim, Hyunjung Shin. “Implementation of Tourist Train in Jeju Island”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2015)

[68] (2015) Genchul Jang, Byungho Im, Heesu Jung, Junmyung Lee, Hyunjung Shin. “Are Natural Disasters Actually Natural?”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2015)

[67] (2015) Yonghyun Nam, Hyunjung Shin. “Management of Disconnections in Disease Networks using Heterogenous Data”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2015)

[66] (2015) Sunjoo Bang, Hyunjung Shin. “Directed Network Construction for Disease Causality Analysis”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2015 Spring)

[65] (2015) Dong-gi Lee, Hyunjung Shin. “Specialized Measurements for Diverse Disease Network Comparision”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2015 Spring)

[64] (2014) Yonghyun Nam, Dong-gi Lee, Sunjoo Bang, Hyunjung Shin. “Disease Association and Scoring System based on BioMedical Big Data”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2014 Fall)

[63] (2014) Yonghyun Nam, ChanKyoo Park, Hyunjung Shin. “An Optimization Model for Combination of Renewable Energy Power and Energy Storage System”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2014 Spring)

[62] (2014) Chan-Kyoo Park, Dong-gi Lee, Hyunjung Shin. “An Optimization Model for Solving the Circular Shareholdings of Large Companies”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2014 Spring)

[61] (2013) Hyunjung Shin and Yonghyun Nam. “Breast Cancer Survivability Prediction System based on Semi-supervised learning and Decision Tree”. Proc. of the Korean Society of Medical Informatics (KOSMI)

[60] (2012) Kanghee Park and Hyunjung Shin. “Portfolio Selection with Dissimilar Stocks & Price Prediction from Similar Stocks”. Proc. of the Business Intelligence and Data Mining Conference

[59] (2012) Juhyeon Kim and Hyunjung Shin. “Enhancing the Performance of Semi Supervised Learning with Pseudo-Labeled Data”. Proc. of the Business Intelligence and Data Mining Conference

[58] (2012) Hyunjung Shin. “Data Mining on BioMedical Big Data”. Proc. of The Korean Society of Medical Informatics(KOSMI 2012 Spring)

[57] (2012) Juhyeon Kim and Hyunjung Shin. “Fraudulent Bill claim Abuser Detection in Health care
with Boosted Samples from Co-training”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2012 Spring)

[56] (2012) Kanghee Park and Hyunjung Shin. “Stock Price Prediction with SSL: Comparison on
Diverse Similarity Measures”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2012 Spring)

[55] (2012) Kanghee Park and Hyunjung Shin. “Stock Price Prediction with Sigmoidal Labels and Similarities”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2012)

[54] (2012) ByongSeob Kim, HeeYong Noh, and Hyunjung Shin. “Disease World-Map based on Climate and Socio-Economic Indices”. Proc. of Joint Conference on Management Science and Industrial Engineering(MSIE 2012)

[53] (2012) Hyunjung Shin. “Semi-Supervised Learning”. Proc. of 2011 Pattern Recognition and Machine Learning Winter School

[52] (2011) HyoungRo Lee and Hyunjung Shin. “A Study on Medium and Long-term Electricity Demand Forecasting using SVR”. Proc. of the Business Intelligence and Data Mining Conference

[51] (2011) Kanghee Park and Hyunjung Shin. “Stock Price Prediction within Bounds”. Proc. of the Business Intelligence and Data Mining Conference

[50] (2011) Dokyoon Kim, Ju Han Kim, and Hyunjung Shin. “Cancer Clinical Outcome Prediction based on Inter-relationship between miRNA and Gene Expression”. Proc. of the Business Intel-ligence and Data Mining Conference (BIDM 2011 Fall)

[49] (2011) Hyunjung Shin. “Large Scale Medical Database Mining: Abuse and Fraud Detection”. Proc. of the Korean Society of Health Information & Health Statistics Conference (KOSHIS 2011)

[48] (2011) HyoungRo Lee, Kanghee Park and Hyunjung Shin. “lectricity Demand Forecasting
based on Machine Learning Algorithms”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2011)

[47] (2011) HangSeok Kim, Kanghee Park and Hyunjung Shin. ” EEPP-SSLANN: Hybrid Model for Electricity Price Prediction”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2011)

[46] (2011) HangSeok Kim, Kanghee Park and Hyunjung Shin. “Electricity Energy Price Prediction using Semi-Supervised Learning and Neural Network”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2011 Spring)

[45] (2010) Hyunjung Shin. ” Data Mining for BioMedical Informatics”. Proc. of the Korean Operations Research and Management Science Society Conference (KORMS 2010)

[44] (2010) Kanghee Park and Hyunjung Shin. “Stock Price Forecasting using Semi-Supervised Learning”. Proc. of the Korean Operations Research and Management Science Society Conference (KORMS 2010)

[43] (2010) Kanghee Park and Hyunjung Shin. “Stock Price Forecasting based on Hierarchical and Causal Relation”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2010 Fall)

[42] (2010) Amna Ali, Yeolwoo An, Dokyoon Kim, Kanghee Park, Hyunjung Shin, and Minkoo Kim. “Prediction of Breast Cancer Survivability: To Alleviate Oncologists in Decision Making”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2010 Fall)

[41] (2010) DoKyoon Kim, Young Soo Song, Ju Han Kim, and Hyunjung Shin. “Integrative Molecular-based Classiﬁcation of Clinical Outcomes in Cancer”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2010 Fall)

[40] (2010) HyoungRo Lee and Hyunjung Shin. “Energy Demand Forecasting for District Heating System”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2010 Fall)

[39] (2010) Yeolwoo An and Hyunjung Shin. “Medical Bill-Claim Review & Assessment with ‘Ma-chine’ Committee”. Proc. of the Korean Institute of Industrial Engineers Conference

[38] (2010) DoKyoon Kim, YoungSoo Song, JuHan Kim, and Hyunjung Shin. “Cancer Recurrence Prediction using Machine Learning”. Proc. of the Korean Institute of Industrial Engineers Conference

[37] (2010) Kanghee Park and Hyunjung Shin. “tock Price Prediction using Global Economic-Financial Indicators”. Proc. of the Korean Institute of Industrial Engineers Conference

[36] (2010) Irfan Ahmed, Kyung-suk Lhee, Hyunjung Shin, and ManPyo Hong. “Computer Forensics with Data Mining: File-Type Identiﬁcation”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2010)

[35] (2010) Yeongran Jo, Hyunjung Shin, and Sungjoo Lee. “HMM based Patent Trend Clustering”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2010)

[34] (2010) Hyunjung Shin. “Large Scale Medical Database Mining: Abuse and Fraud Detection”. Proc. of 4th Conference on Biomedical Informatics: Clinical Research Informatics and Bio– Bank (CRIBB 2010)

[33] (2009) Yeolwoo An and Hyunjung Shin. “Novelty Detection Adaptive To Concept Drift”. Proc. Of the Business Intelligence and Data Mining Conference (BIDM 2009)

[32] (2009) Junwoo Lee and Hyunjung Shin. “Medical Bill-Claim Abuser Detection”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2009)

[31] (2009) Junwoo Lee, Wonchul Jhee, Hayoung Park,
Hyunjung Shin. “Medical Fraud Detection System Using Data Mining”. Proc. of Korea Society of IT Service (KSIT 2009 spring),

[30] (2009) Kanghee Park, Tianya Hou, Chankyoo Park, Sunghee Choi, Hyunjung Shin. “Time Series Prediction with Semi-Supervised Learning: West Texas Oil Price Forecasting”. Proc. Of Management Science and Industrial Engineering (MSIE 2009)

[29] (2009) Tianya Hou, Kanghee Park, Hyunjung Shin. “Crude Oil Price Prediction based on Semi-Supervised Learning”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2009)

[28] (2008) Tianya Hou, Inae Choi, Hyunjung Shin. “How Robust Semi-Supervised Learning against Noise and High Dimensionality”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2008)

[27] (2008) Inae Choi and Hyunjung Shin. “Response Modeling with Ensemble of Sharpened Graphs”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2008)

[26] (2008) Junwoo Lee, Kanghee Park, Wonchul Jhee, Hayoung Park, Hyunjung Shin. “A Composite Index for Hospital Fraud Detection”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2008)

[25] (2008) Kanghee Park, Junwoo Lee, Wonchul Jhee, Hayoung Park, Hyunjung Shin. “Chronic Fraud Detection for Health Insurance Review”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2008)

[24] (2008) Junwoo Lee, Inae Choi, Kanghee Park, Wonchul
Jhee, Hayoung Park, Hyunjung Shin. “A Composite Index for Anomaly Detection from Hospital Bill Claim”. Proc. of the Korean Society of Medical Informatics (KOSMI)

[23] (2008) Kanghee Park, Inae Choi, Junwoo Lee, Wonchul Jhee, Hayoung Park, Hyunjung Shin. “Fraud Detection from Serial Patterns of Hospital Bill Claims”. Proc. of the Korean Society of Medical Informatics (KOSMI)

[22] (2008) Junwoo Lee, Inae Choi, Wonchul Jhee, Hayoung
Park, Hyunjung Shin. “A Quantitative Measure Integrating the Diverse Degrees of Anomaly for Hospital Bill Claim”. Proc. of the Korean Institute of Industrial Engineers Conference

[21] (2008) Kanghee Park, Inae Choi, Wonchul Jhee, Hayoung Park, Hyunjung Shin. “Chronic Delinquency Index for Hospital Bill Claim”. Proc. of the Korean Institute of Industrial Engineers Conference

[20] (2008) Hyoung-joo Lee, Hyunjung Shin, Seong-seob Hwang, Sungzoon Cho, Douglas MacLachlan. “Response Modeling with Latent Respondents”. Proc. of Business Intelligence & Data Mining Conference (BIDM 2008)

[19] (2007) Inae Choi and Hyunjung Shin. “Performance Stabilization and Improvement in Graph-based Semi-supervised Learning with Ensemble Method and Graph Sharpening”. Proc. of Korean Data Mining Society Conference

[18] (2006) Hyunjung Shin and N. Jeremy Hill, Gunnar Raetsch. “Graph-based Semi-Supervised Learning with Sharper Edges”. Proc. of Korean Data Mining Society Conference

[17] (2004) Hyunjung Shin, Koji Tsuda, Sungzoon Cho, and Bernhard Scholkopf. “Protein Functional Class Prediction with a Combined Graph: EM-like Optimization”. Proc. of Korean Data Mining Society Conference

[16] (2004) JiYoung Sun, Sungzoon Cho, and Hyunjung Shin. “Pattern Selection for SVM based Futures Trading System”. Proc. of Korean Data Mining Society Conference

[15] (2003) Hyunjung Shin and Sungzoon Cho. “How to Deal with Large Dataset, Class Imbalance and Binary Output in SVM based Response Model”. Proc. of Korean Data Mining Society Conference

[14] (2003) Hyunjung Shin and Sungzoon Cho. “Time Complexity Analysis of Fast Pattern Selection Algorithm for SVM”. Proc. of Korean Data Mining Society Conference

[13] (2002) Hyunjung Shin and Sungzoon Cho. “Decision Boundary Pattern Selection for Support Vector Machines”. Proc. of Korean Data Mining Society Conference

[12] (2002) Hyunjung Shin and Sungzoon Cho. “k-NN based Pattern Selection for Support Vector Classiﬁers”. Proc. of Korean Operations Research and Management Science Society Conference

[11] (2001) Hyunjung Shin and Sungzoon Cho. “Pattern Selection for ‘Classiﬁcation’ using the Bias and Variance of Ensemble Neural Network”. Proc. of 28th Korea Information Science Society Conference

[10] (2001) Hyunjung Shin and Sungzoon Cho. “Pattern Selection Using the Bias and Variance of Ensemble”. Proc. of Korean Data Mining Society Conference

[9] (2001) Hyunjung Shin and Sungzoon Cho. “Pattern Selection for ‘Regression’ using the Bias and Variance of Ensemble Network”. Proc. of Korean Institute of Industrial Engineers Conference

[8] (2000) Hyunjung Shin, HyunJoo Lee and Sungzoon Cho. “Ensemble Learning Algorithm of Specialized Networks”. Proc. of Korea Information Science Society Conference

[7] (2000) Hyunjung Shin, HyunJoo Lee and Sungzoon Cho. “Ensemble of Specialized Networks based on Input Space Partition”. Proc. of Korean Operations Research and Management Science Society Conference

[6] (2000) Hyunjung Shin, Min Jang, Sungzoon Cho, and
BongKi Lee. “Generalization Abilities of Ensemble Learning Algorithms”. Proc. of the Korean Brain Society Conference

[5] (2000) Hyunjung Shin, Min Jang, Sungzoon Cho, BongKi
Lee, and YongYeop Lim. ” Generalization Abilities of Ensemble Learning Algorithms: OLA, Bagging, Boosting”. Proc. of 27th Korea Information Science Society Conference

[4] (1998) Hyunjung Shin and WonCheol Jhee. “Development of Qualitative Model for the Prediction of KOSPI”. Proc. of Korean Operations Research and Management Science Society Conference

[3] (1996) WonCheol Jhee, SiWoo Park, Hyunjung Shin and HongSeob Shin. “KOSPI Prediction using Cascade-Correlation Network”. Proc. of Korean Operations Research and Management Science Society Conference

[2] (1996) Moonsoo Kim, WonCheol Jhee, Sanghyuk Park, Hyunjung Shin. “Quality Prediction for Hot Rolled (HR) Steel Products using Neural Network”. Proc. of Korea Intelligent Information Systems Society Conference/KESS.

[1] (1996) Jinsool Lee, Younggwan Kho, Hyunjung Shin, WonCheol Jhee. “Improvement on Prediction Ability of Neural Network using Extended Learning Set”. Proc. of Korea Intelligent Information Systems Society Conference/KESS