Hyunjung Shin

Soo Youn Lee

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

Fast Prediction for Suspect Candidates from Criminal Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022

Literature Representation using Character Networks based on Sentiment Analysis.

[BibT_eX]

[DOI]

Myeonggeon Park

Sunghong Park

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

Brain Volume Prediction from SNP network with Semi-Supervised Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

Drug Repositioning with Disease-Drug Clusters from Word Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

Learning Neural Networks without Lazy Weights.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

Semi-supervised network regression with Gaussian process.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

Latent Feature Separation and Extraction with Multiple Parallel Encoders for Convolutional Autoencoder.

[BibT_eX]

[DOI]

Jaehyun Kim

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

Graph Neural Networks with Stability and Discernability.

[BibT_eX]

[DOI]

Jong Ho Jhee

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

Clinical Decision Support to Reduce Nephrotoxic Medication-Associated Acute Kidney Injury in Non-Critically Ill Hospitalized Children.

[BibT_eX]

[DOI]

Bayley Bennett

Swaminathan Kandaswamy

Evan Orenstein

Edwin Ray

Proceedings of the AMIA 2022, 2022

2021

Customer sentiment analysis with more sensibility.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

Polypharmacy side-effect prediction with enhanced interpretability based on graph feature attention network.

[BibT_eX]

[DOI]

Sunjoo Bang

Jong Ho Jhee

Bioinform., 2021

2020

Corrections to "Comorbidity Scoring With Causal Disease Networks".

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Inference on historical factions based on multi-layered network of historical figures.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

2019

Comorbidity Scoring with Causal Disease Networks.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Semi-supervised learning for hierarchically structured networks.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

The translational network for metabolic disease - from protein interaction to disease co-occurrence.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Drug repurposing with network reinforcement.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Disease Pathway Cut for Multi-Target drugs.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Disease gene identification based on generic and disease-specific genome networks.

[BibT_eX]

[DOI]

Bioinform., 2019

2018

Historical inference based on semi-supervised learning.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

2017

Network mirroring for drug repositioning.

[BibT_eX]

[DOI]

Sunghong Park

BMC Medical Informatics Decis. Mak., 2017

Cascade recurring deep networks for audible range prediction.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2017

Disease causality extraction based on lexical semantics and document-clause frequency from biomedical literature.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2017

An inference method from multi-layered structure of biomedical data.

[BibT_eX]

[DOI]

Yonghyun Nam

BMC Medical Informatics Decis. Mak., 2017

Quad-phased data mining modeling for dementia diagnosis.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2017

Data-driven dementia diagnosis record visualization system.

[BibT_eX]

[DOI]

Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, 2017

Visual analytics for biomedical cluster subdivision: a design study with psychiatrists.

[BibT_eX]

[DOI]

Proceedings of the Computer Graphics International Conference, 2017

2016

CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2016

Causality modeling for directed disease network.

[BibT_eX]

[DOI]

Sunjoo Bang

Jae-Hoon Kim

Bioinform., 2016

2015

An optimization approach to resolving circular shareholding in large business groups.

[BibT_eX]

[DOI]

Chan-Kyoo Park

Yongwon Seo

J. Oper. Res. Soc., 2015

Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2015

2013

Research and applications: Breast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient data.

[BibT_eX]

[DOI]

Juhyeon Kim

J. Am. Medical Informatics Assoc., 2013

Sharpened graph ensemble for semi-supervised learning.

[BibT_eX]

[DOI]

Inae Choi

Kanghee Park

Intell. Data Anal., 2013

Stock price prediction based on a complex interrelation network of economic factors.

[BibT_eX]

[DOI]

Kanghee Park

Eng. Appl. Artif. Intell., 2013

Robust predictive model for evaluating breast cancer survivability.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2013

Prediction of movement direction in crude oil prices based on semi-supervised learning.

[BibT_eX]

[DOI]

Decis. Support Syst., 2013

Intra-relation reconstruction from inter-relation: miRNA to gene expression.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2013

Stock Price Prediction Based on Hierarchical Structure of Financial Networks.

[BibT_eX]

[DOI]

Kanghee Park

Proceedings of the Neural Information Processing - 20th International Conference, 2013

A Hybrid Cancer Prognosis System Based on Semi-Supervised Learning and Decision Trees.

[BibT_eX]

[DOI]

Yonghyun Nam

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

Synergistic effect of different levels of genomic data for cancer clinical outcome prediction.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2012

A scoring model to detect abusive billing patterns in health insurance claims.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2012

The influence of cultural dispositions on the scene perception.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Cultural priming and the scene perception.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Differential Effects of the Cultural Orientation Dimensions on Global Precedence.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

The Effect of Priming of Individualism/Collectivism on the Müller-Lyer Illusion.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

Semantically enabled and statistically supported biological hypothesis testing with tissue microarray databases.

[BibT_eX]

[DOI]

BMC Bioinform., 2011

Fast Content-Based File Type Identification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Digital Forensics VII - 7th IFIP WG 11.9 International Conference on Digital Forensics, Orlando, FL, USA, January 31, 2011

A hybrid cognitive architecture based on the relationship between consciousness, memory and attention.

[BibT_eX]

[DOI]

Eunsook Kim

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

Graph sharpening.

[BibT_eX]

[DOI]

N. Jeremy Hill

Andreas Martin Lisewski

Joon-Sang Park

Expert Syst. Appl., 2010

Fast file-type identification.

[BibT_eX]

[DOI]

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2009

Protein functional class prediction with a combined graph.

[BibT_eX]

[DOI]

Koji Tsuda

Bernhard Schölkopf

Expert Syst. Appl., 2009

Influence of Noisy and High-Dimensional Data on Semi-Supervised Learning.

[BibT_eX]

Tianya Hou

Proceedings of The 2009 International Conference on Data Mining, 2009

On Improving the Accuracy and Performance of Content-Based File Type Identification.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Privacy, 14th Australasian Conference, 2009

2008

Semi-supervised Learning with Ensemble Learning and Graph Sharpening.

[BibT_eX]

[DOI]

Inae Choi

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Analytics 2008, 2008

2007

Neighborhood Property-Based Pattern Selection for Support Vector Machines.

[BibT_eX]

[DOI]

Neural Comput., 2007

Graph sharpening plus graph integration: a synergy that improves protein functional classification.

[BibT_eX]

[DOI]

Andreas Martin Lisewski

Olivier Lichtarge

Bioinform., 2007

Graph-Based Protein Functional Classification.

[BibT_eX]

Andreas Martin Lisewski

Olivier Lichtarge

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

2006

Response modeling with support vector machines.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2006

Graph Based Semi-supervised Learning with Sharper Edges.

[BibT_eX]

[DOI]

N. Jeremy Hill

Gunnar Rätsch

Proceedings of the Machine Learning: ECML 2006, 2006

Prediction of Protein Function from Networks.

[BibT_eX]

[DOI]

Koji Tsuda

Proceedings of the Semi-Supervised Learning, 2006

2005

Invariance of neighborhood relation under input space to feature space mapping.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2005

Fast protein classification with multiple networks.

[BibT_eX]

[DOI]

Koji Tsuda

Bernhard Schölkopf

Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005

2003

Fast Pattern Selection for Support Vector Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis.

[BibT_eX]

[DOI]