Taeheung Kim

According to our database, Taeheung Kim authored at least 5 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

BAND: BAgging noise detectors with application to semiconductor wafer denoising.

Taeheung Kim, Jong-Seok Lee

Appl. Soft Comput., November, 2023

Distribution-free multivariate time-series monitoring with analytically determined control limits.

Di Liu, Heeseon Kim, Seong-Hee Kim, Taeheung Kim, Dongki Lee, Yao Xie

Int. J. Prod. Res., October, 2023

Maximizing AUC to learn weighted naive Bayes for imbalanced data classification.

Taeheung Kim, Jong-Seok Lee

Expert Syst. Appl., May, 2023

2022

Exponential Loss Minimization for Learning Weighted Naive Bayes Classifiers.

Taeheung Kim, Jong-Seok Lee

IEEE Access, 2022

2017

Incorporating receiver operating characteristics into naive Bayes for unbalanced data classification.

Taeheung Kim, Byung Do Chung, Jong-Seok Lee

Computing, 2017