HANMAUM - A Multi-agent Model for Customer, Merchant and Directory Service. - Dae-Ki Kang; Joong-Bae Kim; Ho-sang Ham (WebNet, 1997)

MetaNews: An Information Agent for Gathering News Articles on the Web. - Dae-Ki Kang; Joongmin Choi (ISMIS, 2003)

Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers. - Dae-Ki Kang; Adrian Silvescu; Jun Zhang 002; Vasant G. Honavar (ICDM, 2004)

Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation. - Dae-Ki Kang; Doug Fuller; Vasant G. Honavar (ISI, 2005)

Multinomial Event Model Based Abstraction for Sequence and Text Classification. - Dae-Ki Kang; Jun Zhang 002; Adrian Silvescu; Vasant G. Honavar (SARA, 2005)

RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification. - Dae-Ki Kang; Adrian Silvescu; Vasant G. Honavar (PAKDD, 2006)

TRIPPER: Rule Learning Using Taxonomies. - Flavian Vasile; Adrian Silvescu; Dae-Ki Kang; Vasant G. Honavar (PAKDD, 2006)

Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data. - Jun Zhang 002; Dae-Ki Kang; Adrian Silvescu; Vasant G. Honavar (Knowl. Inf. Syst., 2006)

Learning decision trees with taxonomy of propositionalized attributes. - Dae-Ki Kang; Kiwook Sohn (Pattern Recognit., 2009)

Ensemble with neural networks for bankruptcy prediction. - Myoung-Jong Kim; Dae-Ki Kang (Expert Syst. Appl., 2010)

Optimizing SVM Ensembles Using Genetic Algorithms in Bankruptcy Prediction. - Myoung-Jong Kim; Hong Bae Kim; Dae-Ki Kang (J. Inform. and Commun. Convergence Engineering, 2010)

Propositionalized attribute taxonomies from data for data-driven construction of concise classifiers. - Dae-Ki Kang; Myoung-Jong Kim (Expert Syst. Appl., 2011)

Study of Social Network Site Interactivity to Identify and Avert Usability Flaws for Effective User's Experience. - Sami Abduljalil; Gi-Hyun Hwang; Dae-Ki Kang (J. Inform. and Commun. Convergence Engineering, 2011)

Legacy of Smart Device, Social Network and Ubiquitous E-class System. - Sami Abduljalil; Dae-Ki Kang (J. Inform. and Commun. Convergence Engineering, 2011)

Effective Model and Methods for Analysing Human Factors in Software Design for Efficient User Experience. - Sami Abduljalil; Dae-Ki Kang (J. Inform. and Commun. Convergence Engineering, 2011)

Improving the Rendering Speed of 3D Model Animation on Smart Phones. - Cong Jie Ng; Gi-Hyun Hwang; Dae-Ki Kang (J. Inform. and Commun. Convergence Engineering, 2011)

Game Transformation from Non-Augmented Reality to Augmented Reality. - Chin-Tong Tan; Gi-Hyun Hwang; Dae-Ki Kang (J. Inform. and Commun. Convergence Engineering, 2011)

Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction. - Myoung-Jong Kim; Dae-Ki Kang (Expert Syst. Appl., 2012)

Fusion of Hierarchical Behavior-based Actions in Mobile Robot Using Fuzzy Logic. - Gan Zhen Ye; Dae-Ki Kang (J. Inform. and Commun. Convergence Engineering, 2012)

Effective Sentiment Analysis Based on Term Evaluation by Bayesian Model Selection Criteria. - Dae-Ki Kang (ACPR, 2013)

Geometric Mean based Boosting Algorithm to Resolve Data Imbalance Problem. - Myoung-Jong Kim; Dae-Ki Kang (PACIS, 2013)

Design and Analysis of High-Performance Smart Card with HF/UHF Dual-Band RFID Tag and Memory Functions. - Gi-Hyun Hwang; Dae-Ki Kang (Int. J. Distributed Sens. Networks, 2013)

Lightweight and Scalable Intrusion Trace Classification Using Interelement Dependency Models Suitable for Wireless Sensor Network Environment. - Dae-Ki Kang (Int. J. Distributed Sens. Networks, 2013)

Sequence alignment of dynamic intervals for keystroke dynamics based user authentication. - Jiacang Ho; Dae-Ki Kang (SCIS&ISIS, 2014)

Novel Naive Bayes based on Attribute Weighting in Kernel Density Estimation. - Zhong-Liang Xiang; Xiang-Ru Yu; Alex Ming Hui Wong; Dae-Ki Kang (SCIS&ISIS, 2014)

Friends-and-native-people-aware approach for Collaborative Filtering. - Aaron Ling Chi Yi; Dae-Ki Kang (SCIS&ISIS, 2014)

Leveraging user profile attributes for improving pedagogical accuracy of learning pathways. - Tanmay Sinha; Ankit Banka; Dae-Ki Kang (CoRR, 2014)

A Novel Parallel Computation Model with Efficient Local Memory Management for Data-Intensive Applications. - Ahmed Abdulhakim Al-Absi; Dae-Ki Kang (CLOUD, 2015)

Poisson Model and Bradley terry Model for predicting multiplayer online battle games. - Dae-Ki Kang; Myoung-Jong Kim (ICUFN, 2015)

Geometric mean based boosting algorithm with over-sampling to resolve data imbalance problem for bankruptcy prediction. - Myoung-Jong Kim; Dae-Ki Kang; Hong Bae Kim (Expert Syst. Appl., 2015)

Game layout and artificial intelligence implementation in mobile 3D tower defence game. - Alex Ming Hui Wong; Dae-Ki Kang (Int. J. Secur. Networks, 2015)

Sequence Alignment with Dynamic Divisor Generation for Keystroke Dynamics Based User Authentication. - Jiacang Ho; Dae-Ki Kang (J. Sensors, 2015)

Experimental analysis of naïve Bayes classifier based on an attribute weighting framework with smooth kernel density estimations. - Zhong-Liang Xiang; Xiang-Ru Yu; Dae-Ki Kang (Appl. Intell., 2016)

Stationary Hand Gesture Authentication Using Edit Distance on Finger Pointing Direction Interval. - Alex Ming Hui Wong; Dae-Ki Kang (Sci. Program., 2016)

Attribute weighting for averaged one-dependence estimators. - Zhong-Liang Xiang; Dae-Ki Kang (Appl. Intell., 2017)

Mini-batch bagging and attribute ranking for accurate user authentication in keystroke dynamics. - Jiacang Ho; Dae-Ki Kang (Pattern Recognit., 2017)

Experimental analysis of hidden Markov model based secure misuse intrusion trace classification and hacking detection. - Kyung-Hwan Cha; Dae-Ki Kang (J. Comput. Virol. Hacking Tech., 2017)

One-class naïve Bayes with duration feature ranking for accurate user authentication using keystroke dynamics. - Jiacang Ho; Dae-Ki Kang (Appl. Intell., 2018)

Biased Dropout and Crossmap Dropout: Learning towards effective Dropout regularization in convolutional neural network. - Alvin Poernomo; Dae-Ki Kang (Neural Networks, 2018)

Optimizing restricted Boltzmann machine learning by injecting Gaussian noise to likelihood gradient approximation. - Prima Sanjaya; Dae-Ki Kang (Appl. Intell., 2019)

A Novel Diminish Smooth L1 Loss Model with Generative Adversarial Network. - Arief Rachman Sutanto; Dae-Ki Kang (IHCI (1), 2020)

Uni-image: Universal image construction for robust neural model. - Jiacang Ho; Byung-Gook Lee; Dae-Ki Kang (Neural Networks, 2020)

Trainable activation function with differentiable negative side and adaptable rectified point. - Kevin Pratama; Dae-Ki Kang (Appl. Intell., 2021)

Anomaly Detection of Water Level Using Deep Autoencoder. - Isack Thomas Nicholaus; Jun Ryeol Park; Kyuil Jung; Jun-Seoung Lee; Dae-Ki Kang (Sensors, 2021)

A Higher Performing DARTS Model for CIFAR-10. - Jie Yong Shin; Dae-Ki Kang (ICHI, 2022)

Attack-less adversarial training for a robust adversarial defense. - Jiacang Ho; Byung-Gook Lee; Dae-Ki Kang (Appl. Intell., 2022)

Augmented domain agreement for adaptable Meta-Learner on Few-Shot classification. - Tintrim Dwi Ary Widhianingsih; Dae-Ki Kang (Appl. Intell., 2022)

Robust experience replay sampling for multi-agent reinforcement learning. - Isack Thomas Nicholaus; Dae-Ki Kang (Pattern Recognit. Lett., 2022)

A Review on Planted (l, d) Motif Discovery Algorithms for Medical Diagnose. - Satarupa Mohanty; Prasant Kumar Pattnaik 001; Ahmed Abdulhakim Al-Absi; Dae-Ki Kang (Sensors, 2022)

One-Class Convolutional Neural Networks for Water-Level Anomaly Detection. - Isack Thomas Nicholaus; Jun-Seoung Lee; Dae-Ki Kang (Sensors, 2022)

GLNAS: Greedy Layer-wise Network Architecture Search for low cost and fast network generation. - Jiacang Ho; Kyongseok Park; Dae-Ki Kang (Pattern Recognit., 2024)

Deep Learning Technology and Image Sensing. - Suk-Ho Lee; Dae-Ki Kang (Sensors, 2024)

From Queries to Courses: SKYRAG's Revolution in Learning Path Generation via Keyword-Based Document Retrieval. - Yosua Setyawan Soekamto; Leonard Christopher Limanjaya; Yoshua Kaleb Purwanto; Dae-Ki Kang (IEEE Access, 2025)

FTPSG: Feature mixture transformer and potential-based subgoal generation for hierarchical multi-agent reinforcement learning. - Isack Thomas Nicholaus; Dae-Ki Kang (Expert Syst. Appl., 2025)

Enhancing few-shot learning using targeted mixup. - Yaw Darkwah Jnr.; Dae-Ki Kang (Appl. Intell., 2025)