Associative Memory Design Using Overlapping Decomposition and Generalized Brain-State-in-a-Box Neural Networks. - Cheolhwan Oh; Stanislaw H. Zak (Int. J. Neural Syst., 2003)

Autoassociative memory design using interconnected generalized brain-state-in-a-box neural networks. - Cheolhwan Oh; Stanislaw H. Zak; Guisheng Zhai (Int. J. Neural Syst., 2005)

Neural network prediction of peptide separation in strong anion exchange chromatography. - Cheolhwan Oh; Stanislaw H. Zak; Hamid Mirzaei; Charles R. Buck; Fred E. Regnier; Xiang Zhang (Bioinform., 2007)

Proteome discovery pipeline for mass spectrometry-based proteomics. - Erik S. Gough; Cheolhwan Oh; Jing He; Catherine P. Riley; Charles R. Buck; Xiang Zhang (BMC Bioinform., 2008)

Mass Informatics in Differential Proteomics. - Xiang Zhang; Seza Orçun; Mourad Ouzzani; Cheolhwan Oh (Encyclopedia of Data Warehousing and Mining, 2009)

Large-scale pattern storage and retrieval using generalized brain-state-in-a-box neural networks. - Cheolhwan Oh; Stanislaw H. Zak (IEEE Trans. Neural Networks, 2010)

Time-Series Data Augmentation based on Interpolation. - Cheolhwan Oh; Seungmin Han; Jongpil Jeong (FNC/MobiSPC, 2020)

Non-intrusive Load Monitoring Based on Regularized ResNet with Multivariate Control Chart. - Cheolhwan Oh; Jongpil Jeong (ICCSA (2), 2020)

Explainable Process Monitoring Based on Class Activation Map: Garbage In, Garbage Out. - Cheolhwan Oh; Junhyung Moon 002; Jongpil Jeong (IoT Streams/ITEM@PKDD/ECML, 2020)

VODCA: Verification of Diagnosis Using CAM-Based Approach for Explainable Process Monitoring. - Cheolhwan Oh; Jongpil Jeong (Sensors, 2020)