Hyunjung Shin

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 42

Top Topics

Biomedical Data

Hierarchically Structured

Cancer Patients

Lexical Semantics

Top Venues

BMC Medical Informatics Decis. Mak.

Expert Syst. Appl.

Publications

Sunghong Park, Sang Joon Son, Kanghee Park, Yonghyun Nam, Hyunjung Shin
In-house data adaptation to public data: Multisite MRI harmonization to predict Alzheimer's disease conversion. Expert Syst. Appl. 238 (Part E) (2024)
Sunghong Park, Kanghee Park, Hyunjung Shin
Network based Enterprise Profiling with Semi-Supervised Learning. Expert Syst. Appl. 238 (Part C) (2024)
Sunghong Park, Myung Jun Kim, Kanghee Park, Hyunjung Shin
Mutual Domain Adaptation. Pattern Recognit. 145 (2024)
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
Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. Bioinform. 39 (1) (2023)
Jong Ho Jhee, Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin
Multi-scale Heat Kernel Graph Network for Graph Classification. LOD (2) (2023)
Jong Ho Jhee, Min-Young Song, Byung Gon Kim, Hyunjung Shin, 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. BigComp (2023)
Sunghong Park, Changhyung Hong, Dong-Gi Lee, Kanghee Park, Hyunjung Shin
Prospective classification of Alzheimer's disease conversion from mild cognitive impairment. Neural Networks 164 (2023)
Jong Ho Jhee, Myung Jun Kim, Myeonggeon Park, Jeongheun Yeon, Hyunjung Shin
Fast Prediction for Criminal Suspects through Neighbor Mutual Information-Based Latent Network. Int. J. Intell. Syst. 2023 (2023)
Jaewon Lee, Myung Jun Kim, Hyunjung Shin
Lazy Node-Dropping Autoencoder. BigComp (2023)
Taehwan Yun, Myung Jun Kim, Hyunjung Shin
Accelerated Graph Integration with Approximation of Combining Parameters. LOD (2) (2023)
Jaehyun Kim, Hyunjung Shin
Prediction of Recurrence Probability of Thyroid Cancer Patients using Similarity Loss based Multi-modal Autoencoder. BigComp (2023)
Jeongheun Yeon, Jong Ho Jhee, Hyunjung Shin
Latent Inter-relation Augment between Crimes and Criminals using Factorization Machines. BigComp (2023)
Jong Ho Jhee, Myung Jun Kim, Myunggeon Park, Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin
Fast Prediction for Suspect Candidates from Criminal Networks. BigComp (2023)
Taehwan Yun, Myung Jun Kim, Hyunjung Shin
Fast Integration for Multiple Graphs with Neumann Approximation. BigComp (2023)
Dong-Gi Lee, Junhee Cho, Myungjun Kim, Sunghong Park, Hyunjung Shin
Learning Neural Networks without Lazy Weights. BigComp (2022)
Jong Ho Jhee, Hyunjung Shin
Graph Neural Networks with Stability and Discernability. BigComp (2022)
Jaehyun Kim, Myungjun Kim, Hyunjung Shin
Latent Feature Separation and Extraction with Multiple Parallel Encoders for Convolutional Autoencoder. BigComp (2022)
Dong-Gi Lee, Hyunwoong Roh, Myungjun Kim, Na-Rae Kim, Sang Joon Son, Changhyung Hong, Hyunjung Shin
Brain Volume Prediction from SNP network with Semi-Supervised Regression. BigComp (2022)
Bayley Bennett, Hyunjung Shin, Swaminathan Kandaswamy, Evan Orenstein, Edwin Ray
Clinical Decision Support to Reduce Nephrotoxic Medication-Associated Acute Kidney Injury in Non-Critically Ill Hospitalized Children. AMIA (2022)
Dong-Gi Lee, Myungjun Kim, Hyunjung Shin
Drug Repositioning with Disease-Drug Clusters from Word Representations. BigComp (2022)
Myeonggeon Park, Sunghong Park, Hyunjung Shin
Literature Representation using Character Networks based on Sentiment Analysis. BigComp (2022)
Myungjun Kim, Dong-Gi Lee, Hyunjung Shin
Semi-supervised network regression with Gaussian process. BigComp (2022)
Sunghong Park, Junhee Cho, Kanghee Park, Hyunjung Shin
Customer sentiment analysis with more sensibility. Eng. Appl. Artif. Intell. 104 (2021)
Sunjoo Bang, Jong Ho Jhee, Hyunjung Shin
Polypharmacy side-effect prediction with enhanced interpretability based on graph feature attention network. Bioinform. 37 (18) (2021)
Jong Ho Jhee, Sunjoo Bang, Dong-Gi Lee, Hyunjung Shin
Corrections to "Comorbidity Scoring With Causal Disease Networks". IEEE ACM Trans. Comput. Biol. Bioinform. 17 (6) (2020)
Myungjun Kim, Dong-Gi Lee, Sangkuk Lee, Geun-Ho Lee, Hyunjung Shin
Inference on historical factions based on multi-layered network of historical figures. Expert Syst. Appl. 161 (2020)
Jong Ho Jhee, Sunjoo Bang, Dong-Gi Lee, Hyunjung Shin
Comorbidity Scoring with Causal Disease Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (5) (2019)
Yonghyun Nam, Myungjun Kim, Hang-Seok Chang, Hyunjung Shin
Drug repurposing with network reinforcement. BMC Bioinform. (13) (2019)
Sunjoo Bang, Sangjoon Son, Sooyoung Kim, Hyunjung Shin
Disease Pathway Cut for Multi-Target drugs. BMC Bioinform. 20 (1) (2019)
Yonghyun Nam, Dong-Gi Lee, Sunjoo Bang, Ju Han Kim, Jae-Hoon Kim, Hyunjung Shin
The translational network for metabolic disease - from protein interaction to disease co-occurrence. BMC Bioinform. 20 (1) (2019)
Yonghyun Nam, Jong Ho Jhee, Junhee Cho, Ji-Hyun Lee, Hyunjung Shin
Disease gene identification based on generic and disease-specific genome networks. Bioinform. 35 (11) (2019)
Myungjun Kim, Dong-Gi Lee, Hyunjung Shin
Semi-supervised learning for hierarchically structured networks. Pattern Recognit. 95 (2019)
Dong-Gi Lee, Sangkuk Lee, Myungjun Kim, Hyunjung Shin
Historical inference based on semi-supervised learning. Expert Syst. Appl. 106 (2018)
Dong-Gi Lee, Hyunjung Shin
Disease causality extraction based on lexical semantics and document-clause frequency from biomedical literature. BMC Medical Informatics Decis. Mak. 17 (S-1) (2017)
Yonghyun Nam, Oak-Sung Choo, Yu-Ri Lee, Yun-Hoon Choung, Hyunjung Shin
Cascade recurring deep networks for audible range prediction. BMC Medical Informatics Decis. Mak. 17 (S-1) (2017)
Sunjoo Bang, Sangjoon Son, Hyunwoong Roh, Jihye Lee, Sungyun Bae, Kyungwon Lee, Changhyung Hong, Hyunjung Shin
Quad-phased data mining modeling for dementia diagnosis. BMC Medical Informatics Decis. Mak. 17 (S-1) (2017)
Sunghong Park, Dong-Gi Lee, Hyunjung Shin
Network mirroring for drug repositioning. BMC Medical Informatics Decis. Mak. 17 (S-1) (2017)
Wenjun Guo, Seungwook Kim, Sangjun Son, Changhyung Hong, Hyunjung Shin, Kyungwon Lee
Data-driven dementia diagnosis record visualization system. VINCI (2017)
Jihye Lee, Hyoji Ha, Hyunwoo Han, Sungyun Bae, Sangjoon Son, Changhyung Hong, Hyunjung Shin, Kyungwon Lee
Visual analytics for biomedical cluster subdivision: a design study with psychiatrists. CGI (2017)
Myungjun Kim, Yonghyun Nam, Hyunjung Shin
An inference method from multi-layered structure of biomedical data. BMC Medical Informatics Decis. Mak. 17 (S-1) (2017)
Yonghyun Nam, Myungjun Kim, Kyungwon Lee, Hyunjung Shin
CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data. BMC Medical Informatics Decis. Mak. 16 (S-3) (2016)
Sunjoo Bang, Jae-Hoon Kim, Hyunjung Shin
Causality modeling for directed disease network. Bioinform. 32 (17) (2016)
Chan-Kyoo Park, Yongwon Seo, Hyunjung Shin
An optimization approach to resolving circular shareholding in large business groups. J. Oper. Res. Soc. 66 (9) (2015)
Dokyoon Kim, Je-Gun Joung, Kyung-Ah Sohn, Hyunjung Shin, Yu Rang Park, Marylyn D. Ritchie, Ju Han Kim
Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction. J. Am. Medical Informatics Assoc. 22 (1) (2015)
Kanghee Park, Hyunjung Shin
Stock price prediction based on a complex interrelation network of economic factors. Eng. Appl. Artif. Intell. 26 (5-6) (2013)
Kanghee Park, Hyunjung Shin
Stock Price Prediction Based on Hierarchical Structure of Financial Networks. ICONIP (2) (2013)
Dokyoon Kim, Hyunjung Shin, Je-Gun Joung, Su-Yeon Lee, Ju Han Kim
Intra-relation reconstruction from inter-relation: miRNA to gene expression. BMC Syst. Biol. 7 (S-3) (2013)
Yonghyun Nam, Hyunjung Shin
A Hybrid Cancer Prognosis System Based on Semi-Supervised Learning and Decision Trees. ICONIP (2) (2013)
Juhyeon Kim, Hyunjung Shin
Research and applications: Breast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient data. J. Am. Medical Informatics Assoc. 20 (4) (2013)
Hyunjung Shin, Tianya Hou, Kanghee Park, Chan-Kyoo Park, Sunghee Choi
Prediction of movement direction in crude oil prices based on semi-supervised learning. Decis. Support Syst. 55 (1) (2013)
Kanghee Park, Amna Ali, Do Kyoon Kim, Yeolwoo An, Minkoo Kim, Hyunjung Shin
Robust predictive model for evaluating breast cancer survivability. Eng. Appl. Artif. Intell. 26 (9) (2013)
Inae Choi, Kanghee Park, Hyunjung Shin
Sharpened graph ensemble for semi-supervised learning. Intell. Data Anal. 17 (3) (2013)
Hyunjung Shin, Hayoung Park, Junwoo Lee, Won Chul Jhee
A scoring model to detect abusive billing patterns in health insurance claims. Expert Syst. Appl. 39 (8) (2012)
Do Kyoon Kim, Hyunjung Shin, Young Soo Song, Ju Han Kim
Synergistic effect of different levels of genomic data for cancer clinical outcome prediction. J. Biomed. Informatics 45 (6) (2012)
Yoonkyoung Lee, Bia Kim, Yiwon Hyun, Cheon Woo Shin, Jaesik Lee, Hyunjung Shin
The influence of cultural dispositions on the scene perception. CogSci (2012)
Bia Kim, Yoonkyoung Lee, Donghoon Lee, Goeun Lee, Hyunjung Shin
Cultural priming and the scene perception. CogSci (2012)
Mijung Joo, Hyunmin Kang, Hyunjung Shin, Jaesik Lee
Differential Effects of the Cultural Orientation Dimensions on Global Precedence. CogSci (2012)
Yiwon Hyun, Donghoon Lee, Hyunjung Shin, Myeong-Ho Sohn
The Effect of Priming of Individualism/Collectivism on the Müller-Lyer Illusion. CogSci (2012)
Do Kyoon Kim, Hyunjung Shin, Je-Gun Joung, Su-Yeon Lee, Ju Han Kim
Intra-relation Reconstruction from Inter-relation: miRNA to Gene Expression. HISB (2012)
Eunsook Kim, Hyunjung Shin
A hybrid cognitive architecture based on the relationship between consciousness, memory and attention. CogSci (2011)
Irfan Ahmed, Kyung-suk Lhee, Hyunjung Shin, Manpyo Hong
Fast Content-Based File Type Identification. IFIP Int. Conf. Digital Forensics (2011)
Eunsook Kim, Hyunjung Shin
A hybrid cognitive architecture based on the relationship between consciousness, memory and attention. CogSci (2011)
Young Soo Song, Chan Hee Park, Hee-Joon Chung, Hyunjung Shin, Jihun Kim, Ju Han Kim
Semantically enabled and statistically supported biological hypothesis testing with tissue microarray databases. BMC Bioinform. 12 (S-1) (2011)
Irfan Ahmed, Kyung-suk Lhee, Hyunjung Shin, Manpyo Hong
Fast file-type identification. SAC (2010)
Hyunjung Shin, N. Jeremy Hill, Andreas Martin Lisewski, Joon-Sang Park
Graph sharpening. Expert Syst. Appl. 37 (12) (2010)
Tianya Hou, Hyunjung Shin
Influence of Noisy and High-Dimensional Data on Semi-Supervised Learning. DMIN (2009)
Irfan Ahmed, Kyung-suk Lhee, Hyunjung Shin, Manpyo Hong
On Improving the Accuracy and Performance of Content-Based File Type Identification. ACISP (2009)
Hyunjung Shin, Koji Tsuda, Bernhard Schölkopf
Protein functional class prediction with a combined graph. Expert Syst. Appl. 36 (2) (2009)
Inae Choi, Hyunjung Shin
Semi-supervised Learning with Ensemble Learning and Graph Sharpening. IDEAL (2008)
Umer Khan, Hyunjung Shin, Jongpill Choi, Minkoo Kim
wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability. AusDM (2008)
Hyunjung Shin, Andreas Martin Lisewski, Olivier Lichtarge
Graph-Based Protein Functional Classification. BIOCOMP (2007)
Hyunjung Shin, Andreas Martin Lisewski, Olivier Lichtarge
Graph sharpening plus graph integration: a synergy that improves protein functional classification. Bioinform. 23 (23) (2007)
Hyunjung Shin, Sungzoon Cho
Neighborhood Property-Based Pattern Selection for Support Vector Machines. Neural Comput. 19 (3) (2007)
Hyunjung Shin, N. Jeremy Hill, Gunnar Rätsch
Graph Based Semi-supervised Learning with Sharper Edges. ECML (2006)
Hyunjung Shin, Sungzoon Cho
Response modeling with support vector machines. Expert Syst. Appl. 30 (4) (2006)
Hyunjung Shin, Sungzoon Cho
Invariance of neighborhood relation under input space to feature space mapping. Pattern Recognit. Lett. 26 (6) (2005)
Koji Tsuda, Hyunjung Shin, Bernhard Schölkopf
Fast protein classification with multiple networks. ECCB/JBI (2005)
Hyunjung Shin, Sungzoon Cho
Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis. IDEAL (2003)
Hyunjung Shin, Sungzoon Cho
Fast Pattern Selection for Support Vector Classifiers. PAKDD (2003)
Hyunjung Shin, Sungzoon Cho
Pattern Selection for Support Vector Classifiers. IDEAL (2002)
Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho
Observational Learning with Modular Networks. IDEAL (2000)