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Dae-Ki Kang
Dae-Ki Kang
Dongseo university
Verified email at dongseo.ac.kr
Title
Cited by
Cited by
Year
Ensemble with neural networks for bankruptcy prediction
MJ Kim, DK Kang
Expert systems with applications 37 (4), 3373-3379, 2010
3262010
Learning classifiers for misuse and anomaly detection using a bag of system calls representation
DK Kang, D Fuller, V Honavar
Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop …, 2005
2252005
Geometric mean based boosting algorithm with over-sampling to resolve data imbalance problem for bankruptcy prediction
MJ Kim, DK Kang, HB Kim
Expert Systems with Applications 42 (3), 1074-1082, 2015
2222015
Biased dropout and crossmap dropout: learning towards effective dropout regularization in convolutional neural network
A Poernomo, DK Kang
Neural networks 104, 60-67, 2018
1412018
Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction
MJ Kim, DK Kang
Expert Systems with applications 39 (10), 9308-9314, 2012
1132012
Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data
J Zhang, DK Kang, A Silvescu, V Honavar
Knowledge and information systems 9, 157-179, 2006
842006
Learning classifiers for misuse detection using a bag of system calls representation
DK Kang, D Fuller, V Honavar
Intelligence and Security Informatics: IEEE International Conference on …, 2005
522005
Anomaly detection of water level using deep autoencoder
IT Nicholaus, JR Park, K Jung, JS Lee, DK Kang
Sensors 21 (19), 6679, 2021
332021
Experimental analysis of naïve Bayes classifier based on an attribute weighting framework with smooth kernel density estimations
ZL Xiang, XR Yu, DK Kang
Applied Intelligence 44, 611-620, 2016
312016
Generation of attribute value taxonomies from data for data-driven construction of accurate and compact classifiers
DK Kang, A Silvescu, J Zhang, V Honavar
Fourth IEEE International Conference on Data Mining (ICDM'04), 130-137, 2004
30*2004
A novel diminish smooth L1 loss model with generative adversarial network
AR Sutanto, DK Kang
Intelligent Human Computer Interaction: 12th International Conference, IHCI …, 2021
272021
A review on dropout regularization approaches for deep neural networks within the scholarly domain
I Salehin, DK Kang
Electronics 12 (14), 3106, 2023
252023
One-class naïve Bayes with duration feature ranking for accurate user authentication using keystroke dynamics
J Ho, DK Kang
Applied Intelligence 48, 1547-1564, 2018
232018
Multinomial event model based abstraction for sequence and text classification
DK Kang, J Zhang, A Silvescu, V Honavar
Abstraction, Reformulation and Approximation: 6th International Symposium …, 2005
232005
Mini-batch bagging and attribute ranking for accurate user authentication in keystroke dynamics
J Ho, DK Kang
Pattern Recognition 70, 139-151, 2017
222017
Learning decision trees with taxonomy of propositionalized attributes
DK Kang, K Sohn
Pattern Recognition 42 (1), 84-92, 2009
222009
Cascade of one class classifiers for water level anomaly detection
FHS Tan, JR Park, K Jung, JS Lee, DK Kang
Electronics 9 (6), 1012, 2020
212020
Stationary hand gesture authentication using edit distance on finger pointing direction interval
AMH Wong, DK Kang
Scientific Programming 2016 (1), 7427980, 2016
182016
Analysis of human factors in software application design for effective user experience
S Abduljalil, DK Kang
13th International Conference on Advanced Communication Technology …, 2011
182011
TRIPPER: Rule learning using taxonomies
F Vasile, A Silvescu, DK Kang, V Honavar
Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia …, 2006
162006
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