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Fingerprint Dive into the research topics where Jaegul Choo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Visualization Engineering & Materials Science
Factorization Engineering & Materials Science
Computational methods Engineering & Materials Science
Discriminant analysis Engineering & Materials Science
Neural networks Engineering & Materials Science
Finance Engineering & Materials Science
Recommender systems Engineering & Materials Science
Information retrieval systems Engineering & Materials Science

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Research Output 2007 2019

A Comparison of the Effects of Data Imputation Methods on Model Performance

Kim, W., Cho, W., Choi, J., Kim, J., Park, C. & Choo, J., 2019 Apr 29, 21st International Conference on Advanced Communication Technology: ICT for 4th Industrial Revolution!, ICACT 2019 - Proceeding. Institute of Electrical and Electronics Engineers Inc., p. 592-599 8 p. 8702000. (International Conference on Advanced Communication Technology, ICACT; vol. 2019-February).

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

Water quality
Lakes
Sensors
Experiments
1 Citation (Scopus)

AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-based Deep Neural Networks

Choi, M., Park, C., Yang, S., Kim, Y., Choo, J. & Hong, S., 2019 May 2, CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, (Conference on Human Factors in Computing Systems - Proceedings).

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

Labeling
Deep neural networks
Learning systems
Partial discharges
Cables
Neural networks
Support vector machines
Multilayer neural networks

Evaluation of Electromagnetic Interference From Axially Ruptured Coaxial Cable With Multiple Dielectrics Used in Nuclear Power Plants

Choo, J., Choo, J. & Kim, Y. H., 2019 Jun 1, In : IEEE Transactions on Electromagnetic Compatibility. 61, 3, p. 860-869 10 p., 8405768.

Research output: Contribution to journalArticle

coaxial cables
Coaxial cables
electromagnetic interference
nuclear power plants
Signal interference

Multi-class artefact detection in video endoscopy via convolution neural networks

Khan, M. A. & Choo, J., 2019 Jan 1, In : CEUR Workshop Proceedings. 2366

Research output: Contribution to journalConference article

Endoscopy
Convolution
Tuning
Neural networks
Object detection