Cheolhwan Oh

Publication Activity (10 Years)

Years Active: 2003-2020
Publications (10 Years): 4

Top Topics

Diagnostic Reasoning

Total Least Squares

Interpolation Methods

Top Venues

IoT Streams/ITEM@PKDD/ECML

Publications

Cheolhwan Oh, Seungmin Han, Jongpil Jeong
Time-Series Data Augmentation based on Interpolation. FNC/MobiSPC (2020)
Cheolhwan Oh, Junhyung Moon, Jongpil Jeong
Explainable Process Monitoring Based on Class Activation Map: Garbage In, Garbage Out. IoT Streams/ITEM@PKDD/ECML (2020)
Cheolhwan Oh, Jongpil Jeong
VODCA: Verification of Diagnosis Using CAM-Based Approach for Explainable Process Monitoring. Sensors 20 (23) (2020)
Cheolhwan Oh, Jongpil Jeong
Non-intrusive Load Monitoring Based on Regularized ResNet with Multivariate Control Chart. ICCSA (2) (2020)
Cheolhwan Oh, Stanislaw H. Zak
Large-scale pattern storage and retrieval using generalized brain-state-in-a-box neural networks. IEEE Trans. Neural Networks 21 (4) (2010)
Erik S. Gough, Cheolhwan Oh, Jing He, Catherine P. Riley, Charles R. Buck, Xiang Zhang
Proteome discovery pipeline for mass spectrometry-based proteomics. BMC Bioinform. 9 (S-7) (2008)
Cheolhwan Oh, Stanislaw H. Zak, Hamid Mirzaei, Charles R. Buck, Fred E. Regnier, Xiang Zhang
Neural network prediction of peptide separation in strong anion exchange chromatography. Bioinform. 23 (1) (2007)
Cheolhwan Oh, Stanislaw H. Zak, Guisheng Zhai
Autoassociative memory design using interconnected generalized brain-state-in-a-box neural networks. Int. J. Neural Syst. 15 (3) (2005)
Cheolhwan Oh, Stanislaw H. Zak
Associative Memory Design Using Overlapping Decomposition and Generalized Brain-State-in-a-Box Neural Networks. Int. J. Neural Syst. 13 (3) (2003)