Dae-Ki Kang

发表

Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction

Myoung-Jong Kim, Dae-Ki Kang, 2012, Expert Syst. Appl..

Data-Driven Evaluation of Ontologies Using Machine Learning Algorithms

Dae-Ki Kang, Dae-Ki Kang, 2011 .

Ensemble-By-Session Method on Keystroke Dynamics based User Authentication

Dae-Ki Kang, Jiacang Ho, 2018 .

Bayesian Prediction Model Based on Attribute Weighting and Kernel Density Estimations

Dae-Ki Kang, Zhong-Liang Xiang, Xiang-Ru Yu, 2015 .

Incremental SVM for Online Product Review Spam Detection

Dae-Ki Kang, Jiang Chengzhang, 2019 .

Applying Decision Tree Algorithms for Analyzing HS-VOSTS Questionnaire Results

Dae-Ki Kang, Dae-Ki Kang, 2012 .

Optimizing SVM Ensembles Using Genetic Algorithms in Bankruptcy Prediction

Dae-Ki Kang, Hong Bae Kim, Myoung-Jong Kim, 2010, J. Inform. and Commun. Convergence Engineering.

Wine Quality Classification with Multilayer Perceptron

Dae-Ki Kang, Garima Agrawal, 2018 .

Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data

Vasant Honavar, Jun Zhang, Dae-Ki Kang, 2006, Knowledge and Information Systems.

Generation of attribute value taxonomies from data for data-driven construction of accurate and compact classifiers

Vasant Honavar, Jun Zhang, Dae-Ki Kang, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Extended Evolutionary Algorithms with Stagnation-Based Extinction Protocol

Dae-Ki Kang, Gan Zhen Ye, Dae-Ki Kang, 2021, Applied Sciences.

Optimizing restricted Boltzmann machine learning by injecting Gaussian noise to likelihood gradient approximation

Dae-Ki Kang, Prima Sanjaya, 2019, Applied intelligence (Boston).

Geometric mean based boosting algorithm with over-sampling to resolve data imbalance problem for bankruptcy prediction

Dae-Ki Kang, Hong Bae Kim, Myoung-Jong Kim, 2015, Expert Syst. Appl..

Abstraction, aggregation and recursion for generating accurate and simple classifiers

Vasant Honavar, Dae-Ki Kang, Vasant G Honavar, 2006 .

Biased Dropout and Crossmap Dropout: Learning towards effective Dropout regularization in convolutional neural network

Dae-Ki Kang, Alvin Poernomo, Dae-Ki Kang, 2018, Neural Networks.

Ensemble with neural networks for bankruptcy prediction

Dae-Ki Kang, Myoung-Jong Kim, Myoung-Jong Kim, 2010, Expert Syst. Appl..

Regularization parameter tuning optimization approach in logistic regression

Dae-Ki Kang, Ahmed El-Koka, Kyung-Hwan Cha, 2013, 2013 15th International Conference on Advanced Communications Technology (ICACT).

Attribute weighting for averaged one-dependence estimators

Dae-Ki Kang, Zhong-Liang Xiang, Dae-Ki Kang, 2017, Applied Intelligence.

Detecting spamming stores by analyzing their suspicious behaviors

Dae-Ki Kang, Ji Chengzhang, Dae-Ki Kang, 2015, 2015 17th International Conference on Advanced Communication Technology (ICACT).

Augmented domain agreement for adaptable Meta-Learner on Few-Shot classification

Dae-Ki Kang, Tintrim Dwi Ary Widhianingsih, Dae-Ki Kang, 2021, Applied Intelligence.

Attack-less adversarial training for a robust adversarial defense

Dae-Ki Kang, Jiacang Ho, Byung-Gook Lee, 2021, Applied Intelligence.

Robust experience replay sampling for multi-agent reinforcement learning

Isack Thomas Nicholaus, Dae-Ki Kang, 2021, Pattern Recognit. Lett..

Propositionalized attribute taxonomies from data for data-driven construction of concise classifiers

Dae-Ki Kang, Myoung-Jong Kim, Myoung-Jong Kim, 2011, Expert Syst. Appl..

Learning decision trees with taxonomy of propositionalized attributes

Dae-Ki Kang, Kiwook Sohn, Dae-Ki Kang, 2007, Pattern Recognit..

Under Consideration for Publication in Knowledge and Information Systems Learning Accurate and Concise Na¨ıve Bayes Classifiers from Attribute Value Taxonomies and Data

Vasant G Honavar, Dae-Ki Kang, A. Silvescu, 2022 .

Long Read Alignment with Parallel MapReduce Cloud Platform

Ahmed Abdulhakim Al-Absi, Dae-Ki Kang, Dae-Ki Kang, 2015, BioMed research international.

Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation

Vasant Honavar, Dae-Ki Kang, Doug Fuller, 2005, ISI.

Experimental analysis of naïve Bayes classifier based on an attribute weighting framework with smooth kernel density estimations

Dae-Ki Kang, Zhong-Liang Xiang, Xiang-Ru Yu, 2016, Applied Intelligence.

Wrapper induction of news information for feeding to social networking service on smartphone

Zhong-Liang Xiang, Xiang-Ru Yu, Dae-Ki Kang, 2015, 2015 17th International Conference on Advanced Communication Technology (ICACT).

Stationary Hand Gesture Authentication Using Edit Distance on Finger Pointing Direction Interval

Dae-Ki Kang, Alex Ming Hui Wong, Dae-Ki Kang, 2016, Sci. Program..

Trainable activation function with differentiable negative side and adaptable rectified point

Dae-Ki Kang, Kevin Pratama, Dae-Ki Kang, 2020, Appl. Intell..

Geometric Mean based Boosting Algorithm to Resolve Data Imbalance Problem

Dae-Ki Kang, Myoung-Jong Kim, Myoung-Jong Kim, 2013, PACIS.

P-Norm Attention Deep CORAL: Extending Correlation Alignment Using Attention and the P-Norm Loss Function

Zhi-Yong Wang, Dae-Ki Kang, Dae-Ki Kang, 2021, Applied Sciences.

Performance enhancement of SVM ensembles using genetic algorithms in bankruptcy prediction

Dae-Ki Kang, Myoung-Jong Kim, Myoung-Jong Kim, 2010, 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).

A Novel Diminish Smooth L1 Loss Model with Generative Adversarial Network

Dae-Ki Kang, Arief Rachman Sutanto, 2020, IHCI.

Brick Assembly Networks: An Effective Network for Incremental Learning Problems

Dae-Ki Kang, Jiacang Ho, Dae-Ki Kang, 2020, Electronics.

TRIPPER: Rule Learning Using Taxonomies

Vasant Honavar, Dae-Ki Kang, Adrian Silvescu, 2006, PAKDD.

Mini-batch bagging and attribute ranking for accurate user authentication in keystroke dynamics

Dae-Ki Kang, Jiacang Ho, Dae-Ki Kang, 2017, Pattern Recognit..

Parallel MapReduce: Maximizing Cloud Resource Utilization and Performance Improvement Using Parallel Execution Strategies

Najeeb Abbas Al-Sammarraie, Ahmed Abdulhakim Al-Absi, Wael Mohamed Shaher Yafooz, 2018, BioMed research international.

Could Decimal-binary Vector be a Representative of DNA Sequence for Classification?

Dae-Ki Kang, Prima Sanjaya, Dae-Ki Kang, 2016 .