Observational Learning with Modular Networks. - Hyunjung Shin; Hyoungjoo Lee; Sungzoon Cho (IDEAL, 2000)

Pattern Selection for Support Vector Classifiers. - Hyunjung Shin; Sungzoon Cho (IDEAL, 2002)

Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis. - Hyunjung Shin; Sungzoon Cho (IDEAL, 2003)

How many neighbors to consider in pattern pre-selection for support vector classifiers? - Hyunjung Shin; Sungzoon Cho (IJCNN, 2003)

Fast Pattern Selection for Support Vector Classifiers. - Hyunjung Shin; Sungzoon Cho (PAKDD, 2003)

Fast protein classification with multiple networks. - Koji Tsuda; Hyunjung Shin; Bernhard Schölkopf (ECCB/JBI, 2005)

Invariance of neighborhood relation under input space to feature space mapping. - Hyunjung Shin; Sungzoon Cho (Pattern Recognit. Lett., 2005)

Prediction of Protein Function from Networks. - Hyunjung Shin; Koji Tsuda (Semi-Supervised Learning, 2006)

Graph Based Semi-supervised Learning with Sharper Edges. - Hyunjung Shin; N. Jeremy Hill; Gunnar Rätsch (ECML, 2006)

Response modeling with support vector machines. - Hyunjung Shin; Sungzoon Cho (Expert Syst. Appl., 2006)

Graph-Based Protein Functional Classification. - Hyunjung Shin; Andreas Martin Lisewski; Olivier Lichtarge (BIOCOMP, 2007)

Graph sharpening plus graph integration: a synergy that improves protein functional classification. - Hyunjung Shin; Andreas Martin Lisewski; Olivier Lichtarge (Bioinform., 2007)

Neighborhood Property-Based Pattern Selection for Support Vector Machines. - Hyunjung Shin; Sungzoon Cho (Neural Comput., 2007)

wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability. - Umer Khan; Hyunjung Shin; Jongpill Choi; Minkoo Kim (AusDM, 2008)

Semi-supervised Learning with Ensemble Learning and Graph Sharpening. - Inae Choi; Hyunjung Shin (IDEAL, 2008)

On Improving the Accuracy and Performance of Content-Based File Type Identification. - Irfan Ahmed 001; Kyung-suk Lhee; Hyunjung Shin; Manpyo Hong (ACISP, 2009)

Influence of Noisy and High-Dimensional Data on Semi-Supervised Learning. - Tianya Hou; Hyunjung Shin (DMIN, 2009)

Protein functional class prediction with a combined graph. - Hyunjung Shin; Koji Tsuda; Bernhard Schölkopf (Expert Syst. Appl., 2009)

Fast file-type identification. - Irfan Ahmed 001; Kyung-suk Lhee; Hyunjung Shin; Manpyo Hong (SAC, 2010)

Graph sharpening. - Hyunjung Shin; N. Jeremy Hill; Andreas Martin Lisewski; Joon-Sang Park (Expert Syst. Appl., 2010)

A hybrid cognitive architecture based on the relationship between consciousness, memory and attention. - Eunsook Kim; Hyunjung Shin (CogSci, 2011)

Fast Content-Based File Type Identification. - Irfan Ahmed 001; Kyung-suk Lhee; Hyunjung Shin; Manpyo Hong (IFIP Int. Conf. Digital Forensics, 2011)

Semantically enabled and statistically supported biological hypothesis testing with tissue microarray databases. - Young Soo Song; Chan Hee Park; Hee-Joon Chung; Hyunjung Shin; Jihun Kim 001; Ju Han Kim (BMC Bioinform., 2011)

The Effect of Priming of Individualism/Collectivism on the Müller-Lyer Illusion. - Yiwon Hyun; Donghoon Lee; Hyunjung Shin; Myeong-Ho Sohn (CogSci, 2012)

Differential Effects of the Cultural Orientation Dimensions on Global Precedence. - Mijung Joo; Hyunmin Kang; Hyunjung Shin; Jaesik Lee (CogSci, 2012)

Cultural priming and the scene perception. - Bia Kim; Yoonkyoung Lee; Donghoon Lee; Goeun Lee; Hyunjung Shin (CogSci, 2012)

The influence of cultural dispositions on the scene perception. - Yoonkyoung Lee; Bia Kim; Yiwon Hyun; Cheon Woo Shin; Jaesik Lee; Hyunjung Shin (CogSci, 2012)

A scoring model to detect abusive billing patterns in health insurance claims. - Hyunjung Shin; Hayoung Park; Junwoo Lee; Won Chul Jhee (Expert Syst. Appl., 2012)

Synergistic effect of different levels of genomic data for cancer clinical outcome prediction. - Do Kyoon Kim; Hyunjung Shin; Young Soo Song; Ju Han Kim (J. Biomed. Informatics, 2012)

A Hybrid Cancer Prognosis System Based on Semi-Supervised Learning and Decision Trees. - Yonghyun Nam; Hyunjung Shin (ICONIP (2), 2013)

Stock Price Prediction Based on Hierarchical Structure of Financial Networks. - Kanghee Park; Hyunjung Shin (ICONIP (2), 2013)

Intra-relation reconstruction from inter-relation: miRNA to gene expression. - Dokyoon Kim; Hyunjung Shin; Je-Gun Joung; Su-Yeon Lee; Ju Han Kim (BMC Syst. Biol., 2013)

Prediction of movement direction in crude oil prices based on semi-supervised learning. - Hyunjung Shin; Tianya Hou; Kanghee Park; Chan-Kyoo Park; Sunghee Choi (Decis. Support Syst., 2013)

Robust predictive model for evaluating breast cancer survivability. - Kanghee Park; Amna Ali; Do Kyoon Kim; Yeolwoo An; Minkoo Kim; Hyunjung Shin (Eng. Appl. Artif. Intell., 2013)

Stock price prediction based on a complex interrelation network of economic factors. - Kanghee Park; Hyunjung Shin (Eng. Appl. Artif. Intell., 2013)

Sharpened graph ensemble for semi-supervised learning. - Inae Choi; Kanghee Park; Hyunjung Shin (Intell. Data Anal., 2013)

Research and applications: Breast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient data. - Juhyeon Kim; Hyunjung Shin (J. Am. Medical Informatics Assoc., 2013)

Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction. - Dokyoon Kim; Je-Gun Joung; Kyung-Ah Sohn; Hyunjung Shin; Yu Rang Park; Marylyn D. Ritchie; Ju Han Kim (J. Am. Medical Informatics Assoc., 2015)

An optimization approach to resolving circular shareholding in large business groups. - Chan-Kyoo Park; Yongwon Seo 001; Hyunjung Shin (J. Oper. Res. Soc., 2015)

Causality modeling for directed disease network. - Sunjoo Bang; Jae-Hoon Kim 004; Hyunjung Shin (Bioinform., 2016)

CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data. - Yonghyun Nam; Myungjun Kim; Kyungwon Lee; Hyunjung Shin (BMC Medical Informatics Decis. Mak., 2016)

Visual analytics for biomedical cluster subdivision: a design study with psychiatrists. - Jihye Lee; Hyoji Ha; Hyunwoo Han; Sungyun Bae; Sangjoon Son; Changhyung Hong; Hyunjung Shin; Kyungwon Lee (CGI, 2017)

Data-driven dementia diagnosis record visualization system. - Wenjun Guo; Seungwook Kim; Sangjun Son; Changhyung Hong; Hyunjung Shin; Kyungwon Lee (VINCI, 2017)

Quad-phased data mining modeling for dementia diagnosis. - Sunjoo Bang; Sangjoon Son; Hyunwoong Roh; Jihye Lee; Sungyun Bae; Kyungwon Lee; Changhyung Hong; Hyunjung Shin (BMC Medical Informatics Decis. Mak., 2017)

An inference method from multi-layered structure of biomedical data. - Myungjun Kim; Yonghyun Nam; Hyunjung Shin (BMC Medical Informatics Decis. Mak., 2017)

Disease causality extraction based on lexical semantics and document-clause frequency from biomedical literature. - Dong-Gi Lee; Hyunjung Shin (BMC Medical Informatics Decis. Mak., 2017)

Cascade recurring deep networks for audible range prediction. - Yonghyun Nam; Oak-Sung Choo; Yu-Ri Lee; Yun-Hoon Choung; Hyunjung Shin (BMC Medical Informatics Decis. Mak., 2017)

Network mirroring for drug repositioning. - Sunghong Park; Dong-Gi Lee; Hyunjung Shin (BMC Medical Informatics Decis. Mak., 2017)

Historical inference based on semi-supervised learning. - Dong-Gi Lee; Sangkuk Lee; Myungjun Kim; Hyunjung Shin (Expert Syst. Appl., 2018)

Disease gene identification based on generic and disease-specific genome networks. - Yonghyun Nam; Jong Ho Jhee; Junhee Cho; Ji-Hyun Lee; Hyunjung Shin (Bioinform., 2019)

Disease Pathway Cut for Multi-Target drugs. - Sunjoo Bang; Sangjoon Son; Sooyoung Kim; Hyunjung Shin (BMC Bioinform., 2019)

Drug repurposing with network reinforcement. - Yonghyun Nam; Myungjun Kim; Hang-Seok Chang; Hyunjung Shin (BMC Bioinform., 2019)

The translational network for metabolic disease - from protein interaction to disease co-occurrence. - Yonghyun Nam; Dong-Gi Lee; Sunjoo Bang; Ju Han Kim; Jae-Hoon Kim 004; Hyunjung Shin (BMC Bioinform., 2019)

Semi-supervised learning for hierarchically structured networks. - Myungjun Kim; Dong-Gi Lee; Hyunjung Shin (Pattern Recognit., 2019)

Comorbidity Scoring with Causal Disease Networks. - Jong Ho Jhee; Sunjoo Bang; Dong-Gi Lee; Hyunjung Shin (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Dementia key gene identification with multi-layered SNP-gene-disease network. - Dong-Gi Lee; Myungjun Kim; Sang Joon Son; Changhyung Hong; Hyunjung Shin (Bioinform., 2020)

Inference on historical factions based on multi-layered network of historical figures. - Myungjun Kim; Dong-Gi Lee; Sangkuk Lee; Geun-Ho Lee; Hyunjung Shin (Expert Syst. Appl., 2020)

Corrections to "Comorbidity Scoring With Causal Disease Networks". - Jong Ho Jhee; Sunjoo Bang; Dong-Gi Lee; Hyunjung Shin (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Polypharmacy side-effect prediction with enhanced interpretability based on graph feature attention network. - Sunjoo Bang; Jong Ho Jhee; Hyunjung Shin (Bioinform., 2021)

Customer sentiment analysis with more sensibility. - Sunghong Park; Junhee Cho; Kanghee Park; Hyunjung Shin (Eng. Appl. Artif. Intell., 2021)

Clinical Decision Support to Reduce Nephrotoxic Medication-Associated Acute Kidney Injury in Non-Critically Ill Hospitalized Children. - Bayley Bennett; Hyunjung Shin; Swaminathan Kandaswamy; Evan Orenstein; Edwin Ray (AMIA, 2022)

Graph Neural Networks with Stability and Discernability. - Jong Ho Jhee; Hyunjung Shin (BigComp, 2022)

Latent Feature Separation and Extraction with Multiple Parallel Encoders for Convolutional Autoencoder. - Jaehyun Kim; Myungjun Kim; Hyunjung Shin (BigComp, 2022)

Semi-supervised network regression with Gaussian process. - Myungjun Kim; Dong-Gi Lee; Hyunjung Shin (BigComp, 2022)

Learning Neural Networks without Lazy Weights. - Dong-Gi Lee; Junhee Cho; Myungjun Kim; Sunghong Park; Hyunjung Shin (BigComp, 2022)

Drug Repositioning with Disease-Drug Clusters from Word Representations. - Dong-Gi Lee; Myungjun Kim; Hyunjung Shin (BigComp, 2022)

Brain Volume Prediction from SNP network with Semi-Supervised Regression. - Dong-Gi Lee; Hyunwoong Roh; Myungjun Kim; Na-Rae Kim; Sang Joon Son; Changhyung Hong; Hyunjung Shin (BigComp, 2022)

Literature Representation using Character Networks based on Sentiment Analysis. - Myeonggeon Park; Sunghong Park; Hyunjung Shin (BigComp, 2022)

Fast Prediction for Suspect Candidates from Criminal Networks. - Jong Ho Jhee; Myung Jun Kim; Myunggeon Park; Jeongheun Yeon; Yoonshin Kwak; Hyunjung Shin (BigComp, 2023)

Transformer-Based Gene Scoring Model for Extracting Representative Characteristic of Central Dogma Process to Prioritize Pathogenic Genes Applying Breast Cancer Multi-omics Data. - Jong Ho Jhee; Min-Young Song; Byung Gon Kim; Hyunjung Shin; Soo Youn Lee (BigComp, 2023)

Prediction of Recurrence Probability of Thyroid Cancer Patients using Similarity Loss based Multi-modal Autoencoder. - Jaehyun Kim; Hyunjung Shin (BigComp, 2023)

Lazy Node-Dropping Autoencoder. - Jaewon Lee; Myung Jun Kim; Hyunjung Shin (BigComp, 2023)

Latent Inter-relation Augment between Crimes and Criminals using Factorization Machines. - Jeongheun Yeon; Jong Ho Jhee; Hyunjung Shin (BigComp, 2023)

Fast Integration for Multiple Graphs with Neumann Approximation. - Taehwan Yun; Myung Jun Kim; Hyunjung Shin (BigComp, 2023)

Multi-scale Heat Kernel Graph Network for Graph Classification. - Jong Ho Jhee; Jeongheun Yeon; Yoonshin Kwak; Hyunjung Shin (LOD (2), 2023)

Accelerated Graph Integration with Approximation of Combining Parameters. - Taehwan Yun; Myung Jun Kim; Hyunjung Shin (LOD (2), 2023)

Fast Prediction for Criminal Suspects through Neighbor Mutual Information-Based Latent Network. - Jong Ho Jhee; Myung Jun Kim; Myeonggeon Park; Jeongheun Yeon; Hyunjung Shin (Int. J. Intell. Syst., 2023)

Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. - Yonghyun Nam; Sang-Hyuk Jung; Jae-Seung Yun; Vivek Sriram; Pankhuri Singhal; Marta Byrska-Bishop; Anurag Verma; Hyunjung Shin; Woong-Yang Park; Hong-Hee Won; Dokyoon Kim (Bioinform., 2023)

Prospective classification of Alzheimer's disease conversion from mild cognitive impairment. - Sunghong Park; Changhyung Hong; Dong-Gi Lee; Kanghee Park; Hyunjung Shin (Neural Networks, 2023)

NetPRS: SNP Interaction Aware Network-Based Polygenic Risk Score for Alzheimer's Disease. - Sunghong Park; Dong-Gi Lee; Juhyeon Kim; Doyoon Kim; Changhyung Hong; Sang Joon Son; Hyunwoong Roh; Kanghee Park; Dokyoon Kim; Hyunjung Shin; Hyun Goo Woo (BHI, 2024)

Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network. - Sunghong Park; Changhyung Hong; Sang Joon Son; Hyunwoong Roh; Doyoon Kim; Hyunjung Shin; Hyun Goo Woo (Briefings Bioinform., 2024)

Plasma protein-based identification of neuroimage-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network. - Sunghong Park; Doyoon Kim; Heirim Lee; Changhyung Hong; Sang Joon Son; Hyunwoong Roh; Dokyoon Kim; Yonghyun Nam; Dong-Gi Lee; Hyunjung Shin; Hyun Goo Woo (Comput. Biol. Medicine, 2024)

Mutual Domain Adaptation. - Sunghong Park; Myung Jun Kim; Kanghee Park; Hyunjung Shin (Pattern Recognit., 2024)

Network based Enterprise Profiling with Semi-Supervised Learning. - Sunghong Park; Kanghee Park; Hyunjung Shin (Expert Syst. Appl., 2024)

In-house data adaptation to public data: Multisite MRI harmonization to predict Alzheimer's disease conversion. - Sunghong Park; Sang Joon Son; Kanghee Park; Yonghyun Nam; Hyunjung Shin (Expert Syst. Appl., 2024)

Continual Learning with Flexible Preservation. - Juhyeon Kim; Hyunjung Shin (BigComp, 2025)

NeuroFANN: identification of neuropathological subtypes in dementia with plasma proteins by using functionally annotated neural network. - Sunghong Park; Doyoon Kim; Ji-Hye Choi; Changhyung Hong; Sang Joon Son; Hyunwoong Roh; Hyunjung Shin; Hyun Goo Woo (Briefings Bioinform., 2025)

PPIxGPN: plasma proteomic profiling of neurodegenerative biomarkers with protein-protein interaction-based eXplainable graph propagational network. - Sunghong Park; Dong-Gi Lee; Juhyeon Kim; Seung Ho Kim; Hyeon Jin Hwang; Hyunjung Shin; Hyun Goo Woo (Briefings Bioinform., 2025)

Prospective domain adaptation for longitudinal data. - Sunghong Park; Jeongheun Yeon; Dong-Gi Lee; Sang Joon Son; Hyun Goo Woo; Hyunjung Shin (Knowl. Based Syst., 2025)

Extremely fast graph integration for semi-supervised learning via Gaussian fields with Neumann approximation. - Taehwan Yun; Myung Jun Kim; Hyunjung Shin (Pattern Recognit., 2025)