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Research Output 1997 2019

  • 1445 Citations
  • 18 h-Index
  • 70 Article
  • 36 Conference contribution
  • 1 Chapter
2019

A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining

Kim, D., Lee, J., So, C. H., Jeon, H., Jeong, M., Choi, Y., Yoon, W., Sung, M. & Kang, J., 2019 Jan 1, In : IEEE Access. 7, p. 73729-73740 12 p., 8730332.

Research output: Contribution to journalArticle

Open Access
Web services
Information retrieval
Application programming interfaces (API)
Demonstrations

ARPnet: Antidepressant response prediction network for major depressive disorder

Chang, B., Choi, Y., Jeon, M., Lee, J., Han, K. M., Kim, A., Ham, B. J. & Kang, J., 2019 Nov, In : Genes. 10, 11, 907.

Research output: Contribution to journalArticle

Open Access
Major Depressive Disorder
Antidepressive Agents
Prescriptions
Neuroimaging
Health Care Costs
5 Citations (Scopus)

Assessment of network module identification across complex diseases

The DREAM Module Identification Challenge Consortium, 2019 Sep 1, In : Nature Methods. 16, 9, p. 843-852 10 p.

Research output: Contribution to journalArticle

Open Access
Genes
Benchmarking
Gene Regulatory Networks
Neoplasm Genes
Genome-Wide Association Study

Can Machines Learn to Comprehend Scientific Literature?

Park, D., Choi, Y., Kim, D., Yu, M., Kim, S. & Kang, J., 2019 Jan 1, In : IEEE Access. 7, p. 16246-16256 11 p., 8606080.

Research output: Contribution to journalArticle

Linguistics
Deep learning
2 Citations (Scopus)

CollaboNet: Collaboration of deep neural networks for biomedical named entity recognition

Yoon, W., So, C. H., Lee, J. & Kang, J., 2019 May 29, In : BMC Bioinformatics. 20, 249.

Research output: Contribution to journalArticle

Open Access
Named Entity Recognition
Neural Networks
Data Mining
Learning
Text Mining
12 Citations (Scopus)

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

AstraZeneca-Sanger Drug Combination DREAM Consortium, 2019 Dec 1, In : Nature communications. 10, 1, 2674.

Research output: Contribution to journalArticle

Open Access
Pharmacogenetics
Drug Combinations
drugs
cancer
predictions

CONFIGURE: A pipeline for identifying context specific regulatory modules from gene expression data and its application to breast cancer

Park, S., Hwang, D., Yeo, Y. S., Kim, H. & Kang, J., 2019 Jul 11, In : BMC Medical Genomics. 12, 97.

Research output: Contribution to journalArticle

Open Access
Regulator Genes
Breast Neoplasms
Gene Expression
Genes
RNA

Global stock market prediction based on stock chart images using deep q-network

Lee, J., Kim, R., Koh, Y. & Kang, J., 2019 Jan 1, In : IEEE Access. 7, p. 167260-167277 18 p., 8901118.

Research output: Contribution to journalArticle

Open Access
Profitability
Financial markets
Artificial intelligence
Neural networks
Liquids

Kitchenette: Predicting and ranking food ingredient pairings using siamese neural networks

Park, D., Kim, K., Park, Y., Shin, J. & Kang, J., 2019 Jan 1, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 5930-5936 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
2 Citations (Scopus)

Multipath-DenseNet: A Supervised ensemble architecture of densely connected convolutional networks

Lodhi, B. & Kang, J., 2019 May 1, In : Information Sciences. 482, p. 63-72 10 p.

Research output: Contribution to journalArticle

Object recognition
Multipath
Convolution
Ensemble
Neural networks

ParaFaceTest: An ensemble of regression tree-based facial features extraction for efficient facial paralysis classification

Barbosa, J., Seo, W. K. & Kang, J., 2019 Apr 25, In : BMC Medical Imaging. 19, 1, 30.

Research output: Contribution to journalArticle

Open Access
Facial Paralysis
Iris
Facial Expression
Sclera
Interpersonal Relations

Predicting multiple demographic attributes with task specific embedding transformation and attention network

Kim, R., Kim, H., Lee, J. & Kang, J., 2019 Jan 1, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 765-773 9 p. (SIAM International Conference on Data Mining, SDM 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Industry
Linear transformations
Model structures
Managers
Visualization

ReSimNet: drug response similarity prediction using Siamese neural networks

Jeon, M., Park, D., Lee, J., Jeon, H., Ko, M., Kim, S., Choi, Y., Tan, A. C. & Kang, J., 2019 Dec 15, In : Bioinformatics (Oxford, England). 35, 24, p. 5249-5256 8 p.

Research output: Contribution to journalArticle

Chemical compounds
Drugs
Neural Networks
Neural networks
Prediction
1 Citation (Scopus)

Sain: Self-attentive integration network for recommendation

Yun, S., Kim, R., Ko, M. & Kang, J., 2019 Jul 18, SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1205-1208 4 p. (SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recommendations
Matrix Factorization
Model
Factorization
Feedback
2018
2 Citations (Scopus)

A deep neural spoiler detection model using a genre-aware attention mechanism

Chang, B., Kim, H., Kim, R., Kim, D. & Kang, J., 2018 Jan 1, Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Proceedings. Springer Verlag, p. 183-195 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10937 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Encoder
Feature Vector
Model
Qualitative Analysis
Baseline
1 Citation (Scopus)

A pilot study of biomedical text comprehension using an attention-based deep neural reader: Design and experimental analysis

Kim, S., Park, D., Choi, Y., Lee, K., Kim, B., Jeon, M., Kim, J., Tan, A-C. & Kang, J., 2018 Jan 1, In : Journal of Medical Internet Research. 20, 1, e2.

Research output: Contribution to journalArticle

Research Design
PubMed
Literature
Neural Networks (Computer)
Datasets
5 Citations (Scopus)

BTNET: Boosted tree based gene regulatory network inference algorithm using time-course measurement data

Park, S., Kim, J. M., Shin, W., Han, S. W., Jeon, M., Jang, H. J., Jang, I. S. & Kang, J., 2018 Mar 19, In : BMC Systems Biology. 12, 20.

Research output: Contribution to journalArticle

Gene Regulatory Networks
Gene Regulatory Network
Benchmarking
Time measurement
Genes
6 Citations (Scopus)
Long-Term Memory
Short-Term Memory
neural networks
Genes
Neural networks
6 Citations (Scopus)

Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method

Jung, H., Kim, B., Lee, I., Lee, J. & Kang, J., 2018 Dec 3, In : BMC Medical Imaging. 18, 1, 48.

Research output: Contribution to journalArticle

Tomography
Lung
Lung Neoplasms
Learning
18 Citations (Scopus)

Content-aware hierarchical point-of-interest embedding model for successive POI recommendation

Chang, B., Park, Y., Park, D., Kim, S. & Kang, J., 2018 Jan 1, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, Vol. 2018-July. p. 3301-3307 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data structures
8 Citations (Scopus)

Deep learning of mutation-gene-drug relations from the literature

Lee, K., Kim, B., Choi, Y., Kim, S., Shin, W., Lee, S., Park, S., Kim, S., Tan, A-C. & Kang, J., 2018 Jan 25, In : BMC Bioinformatics. 19, 1, 21.

Research output: Contribution to journalArticle

Drugs
Mutation
Genes
Learning
Gene
2 Citations (Scopus)

DeepNAP: Deep neural anomaly pre-detection in a semiconductor fab

Kim, C., Lee, J., Kim, R., Park, Y. & Kang, J., 2018 Aug 1, In : Information Sciences. 457-458, p. 1-11 11 p.

Research output: Contribution to journalArticle

Anomaly
Semiconductors
Semiconductor materials
Recurrent neural networks
Labels
3 Citations (Scopus)

DeepPIM: A deep neural point-of-interest imputation model

Chang, B., Park, Y., Kim, S. & Kang, J., 2018 Oct 1, In : Information Sciences. 465, p. 61-71 11 p.

Research output: Contribution to journalArticle

Imputation
Learning systems
Model
Engineering
User Behavior
9 Citations (Scopus)

Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network

Jung, H., Kim, B., Lee, I., Yoo, M., Lee, J., Ham, S., Woo, O. H. & Kang, J., 2018 Sep 1, In : PLoS One. 13, 9, e0203355.

Research output: Contribution to journalArticle

neural networks
detectors
Detectors
Neural networks
Weights and Measures
10 Citations (Scopus)

Drug drug interaction extraction from the literature using a recursive neural network

Lim, S., Lee, K. & Kang, J., 2018 Jan 1, In : PLoS One. 13, 1, e0190926.

Research output: Contribution to journalArticle

Drug interactions
drug interactions
Drug Interactions
neural networks
Neural networks
2 Citations (Scopus)

Exploring the molecular mechanisms of Traditional Chinese Medicine components using gene expression signatures and connectivity map

Yoo, M., Shin, J., Kim, H., Kim, J., Kang, J. & Tan, A-C., 2018 Jan 1, (Accepted/In press) In : Computer Methods and Programs in Biomedicine.

Research output: Contribution to journalArticle

Chinese Traditional Medicine
Transcriptome
Gene expression
Medicine
Drug Repositioning
1 Citation (Scopus)

Identification of novel susceptibility loci associated with hepatitis B surface antigen seroclearance in chronic hepatitis B

Kim, T. H., Lee, E. J., Choi, J. H., Yim, S. Y., Lee, S., Kang, J., Lee, Y. R., Lee, H. A., Choi, H. S., Kim, E-S., Keum, B., Seo, Y. S., Yim, H. J., Jeen, Y. T., Chun, H-J., Lee, H. S., Kim, C. D., Woo, H. G. & Um, S-H., 2018 Jul 1, In : PLoS One. 13, 7, e0199094.

Research output: Contribution to journalArticle

chronic hepatitis B
Chronic Hepatitis B
Surface Antigens
Hepatitis B Surface Antigens
surface antigens
5 Citations (Scopus)

In silico drug combination discovery for personalized cancer therapy

Jeon, M., Kim, S., Park, S., Lee, H. & Kang, J., 2018 Mar 19, In : BMC Systems Biology. 12, 16.

Research output: Contribution to journalArticle

Drug Combinations
Drug Discovery
Computer Simulation
Therapy
Drug therapy

In silico experiment system for testing hypothesis on gene functions using three condition specific biological networks

Lee, C. J., Kang, D., Lee, S., Lee, S., Kang, J. & Kim, S., 2018 Aug 1, In : Methods. 145, p. 10-15 6 p.

Research output: Contribution to journalArticle

Computer Simulation
Genes
Testing
Gene Knockout Techniques
Experiments
1 Citation (Scopus)

Learning user preferences and understanding calendar contexts for event scheduling

Kim, D., Lee, J., Choi, D., Choi, J. & Kang, J., 2018 Oct 17, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery, p. 337-346 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

User preferences
Calendar
Neural networks
Language
Machine learning
4 Citations (Scopus)

Mut2Vec: Distributed representation of cancerous mutations

Kim, S., Lee, H., Kim, K. & Kang, J., 2018 Apr 20, In : BMC Medical Genomics. 11, 33.

Research output: Contribution to journalArticle

Mutation
Learning
Protein Interaction Maps
Neoplasms
Data Mining
3 Citations (Scopus)

Systems pharmacology-based approach of connecting disease genes in genome-wide association studies with traditional Chinese medicine

Kim, J., Yoo, M., Shin, J., Kim, H., Kang, J. & Tan, A-C., 2018 Jan 1, In : International Journal of Genomics. 2018, 7697356.

Research output: Contribution to journalArticle

Genome-Wide Association Study
Chinese Traditional Medicine
Medicine
Genes
Association reactions
2017
29 Citations (Scopus)

ChimerDB 3.0: An enhanced database for fusion genes from cancer transcriptome and literature data mining

Lee, M., Lee, K., Yu, N., Jang, I., Choi, I., Kim, P., EunJang, Y., Kim, B., Kim, S., Lee, B., Kang, J. & Lee, S., 2017 Jan 1, In : Nucleic Acids Research. 45, D1, p. D784-D789

Research output: Contribution to journalArticle

Data Mining
Neoplasm Genes
Gene Fusion
Transcriptome
Data mining
1 Citation (Scopus)

Constructing and evaluating a novel crowdsourcing-based paraphrased opinion spam dataset

Kim, S., Lee, S., Park, D. & Kang, J., 2017 Jan 1, 26th International World Wide Web Conference, WWW 2017. International World Wide Web Conferences Steering Committee, p. 827-836 10 p. 3052607

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning algorithms
Learning systems
Gold
Semantics
Experiments
10 Citations (Scopus)

Literature-based condition-specific miRNAmRNA target prediction

Oh, M., Rhee, S., Moon, J. H., Chae, H., Lee, S., Kang, J. & Kim, S., 2017 Mar 1, In : PLoS One. 12, 3, e0174999.

Research output: Contribution to journalArticle

MicroRNAs
microRNA
prediction
Genes
methodology
5 Citations (Scopus)

Name nationality classification with recurrent neural networks

Lee, J., Kim, H., Ko, M., Choi, D., Choi, J. & Kang, J., 2017, 26th International Joint Conference on Artificial Intelligence, IJCAI 2017. International Joint Conferences on Artificial Intelligence, p. 2081-2087 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Feature extraction
2016
22 Citations (Scopus)

BEST: Next-generation biomedical entity search tool for knowledge discovery from biomedical literature

Lee, S., Kim, D., Lee, K., Choi, J., Kim, S., Jeon, M., Lim, S., Choi, D., Kim, S., Tan, A-C. & Kang, J., 2016 Oct 1, In : PLoS One. 11, 10, e0164680.

Research output: Contribution to journalArticle

PubMed
Data mining
mutation
Mutation
Reaction Time
14 Citations (Scopus)

BRONCO: Biomedical entity Relation ONcology COrpus for extracting gene-variant-disease-drug relations

Lee, K., Lee, S., Park, S., Kim, S., Kim, S., Choi, K., Tan, A-C. & Kang, J., 2016, In : Database. 2016

Research output: Contribution to journalArticle

Oncology
processing technology
Natural Language Processing
Genes
drugs
1 Citation (Scopus)

CLIP-GENE: A web service of the condition specific context-laid integrative analysis for gene prioritization in mouse TF knockout experiments

Hur, B., Lim, S., Chae, H., Seo, S., Lee, S., Kang, J. & Kim, S., 2016 Oct 24, In : Biology Direct. 11, 1, 57.

Research output: Contribution to journalArticle

Transcription factors
Prioritization
prioritization
Transcription Factor
Web services
8 Citations (Scopus)

Efficient quantitative assessment of facial paralysis using iris segmentation and active contour-based key points detection with hybrid classifier

Barbosa, J., Lee, K., Lee, S., Lodhi, B., Cho, J-G., Seo, W. K. & Kang, J., 2016 Mar 12, In : BMC Medical Imaging. 16, 1, 23.

Research output: Contribution to journalArticle

Facial Paralysis
Iris
Facial Expression
Paralysis
Healthy Volunteers
8 Citations (Scopus)

HiPub: Translating PubMed and PMC texts to networks for knowledge discovery

Lee, K., Shin, W., Kim, B., Lee, S., Choi, Y., Kim, S., Jeon, M., Tan, A-C. & Kang, J., 2016 Sep 15, In : Bioinformatics. 32, 18, p. 2886-2888 3 p.

Research output: Contribution to journalArticle

Knowledge Discovery
PubMed
Data mining
Genes
Cells
4 Citations (Scopus)

Prioritizing biological pathways by recognizing context in time-series gene expression data

Lee, J., Jo, K., Lee, S., Kang, J. & Kim, S., 2016 Dec 23, In : BMC Bioinformatics. 17, 477.

Research output: Contribution to journalArticle

Gene Expression Data
Time Series Data
Gene expression
Time series
Pathway
2015
16 Citations (Scopus)

A bibliometric method for measuring the degree of technological innovation

Yeo, W., Kim, S., Park, H. & Kang, J., 2015 Jun 1, In : Technological Forecasting and Social Change. 95, p. 152-162 11 p.

Research output: Contribution to journalArticle

Bibliometrics
Inventions
Uncertainty
Innovation
Research
8 Citations (Scopus)

An integrated bioinformatics analysis to dissect kinase dependency in triple negative breast cancer

Ryall, K. A., Kim, J., Klauck, P. J., Shin, J., Yoo, M., Ionkina, A., Pitts, T. M., Tentler, J. J., Diamond, J. R., Eckhardt, S. G., Heasley, L. E., Kang, J. & Tan, A-C., 2015 Dec 9, In : BMC Genomics. 16, 12, S2.

Research output: Contribution to journalArticle

Triple Negative Breast Neoplasms
Computational Biology
Phosphotransferases
Cell Line
Pharmacology
18 Citations (Scopus)

Deep semantic frame-based deceptive opinion spam analysis

Kim, S., Chang, H., Lee, S., Yu, M. & Kang, J., 2015 Oct 17, International Conference on Information and Knowledge Management, Proceedings. Association for Computing Machinery, Vol. 19-23-Oct-2015. p. 1131-1140 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Spam
Electronic commerce
Workers
Profit
Qualitative analysis
12 Citations (Scopus)

Feasibility of using a mobile application for the monitoring and management of stroke-associated risk factors

Seo, W. K., Kang, J., Jeon, M., Lee, K., Lee, S., Kim, J. H., Oh, K. & Koh, S. B., 2015, In : Journal of Clinical Neurology (Korea). 11, 2, p. 142-148 7 p.

Research output: Contribution to journalArticle

Mobile Applications
Stroke
Glycosylated Hemoglobin A
Korea
Software
1 Citation (Scopus)

ICOSSY: An online tool for context-specific subnetwork discovery from gene expression data

Saha, A., Jeon, M., Tan, A-C. & Kang, J., 2015 Jul 6, In : PLoS One. 10, 7, e0131656.

Research output: Contribution to journalArticle

Gene expression
Phenotype
Gene Expression
phenotype
gene expression
11 Citations (Scopus)

Identifying kinase dependency in cancer cells by integrating high-throughput drug screening and kinase inhibition data

Ryall, K. A., Shin, J., Yoo, M., Hinz, T. K., Kim, J., Kang, J., Heasley, L. E. & Tan, A-C., 2015 Jun 18, In : Bioinformatics. 31, 23, p. 3799-3806 8 p.

Research output: Contribution to journalArticle

Preclinical Drug Evaluations
High Throughput
Screening
Cancer
Drugs

Smith search: Opinion-based restaurant search engine

Choi, J., Kim, D., Choi, D., Lim, S., Kim, S. & Kang, J., 2015 May 18, WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web. Association for Computing Machinery, Inc, p. 187-190 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Search engines
Decision making
Blogs
Application programs
World Wide Web
2014
11 Citations (Scopus)

Aggregative and stochastic model of main path identification: A case study on graphene

Yeo, W., Kim, S., Lee, J. M. & Kang, J., 2014 Jan 1, In : Scientometrics. 98, 1, p. 633-655 23 p.

Research output: Contribution to journalArticle

Stochastic models
Graphene
Markov processes
Trajectories
path analysis