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Journal Articles
- 2024
[j35]Jiacang Ho, Kyongseok Park
, Dae-Ki Kang:
GLNAS: Greedy Layer-wise Network Architecture Search for low cost and fast network generation. Pattern Recognit. 155: 110730 (2024)- [j34]Suk-Ho Lee, Dae-Ki Kang:
Deep Learning Technology and Image Sensing. Sensors 24(16): 5130 (2024) - 2022
- [j33]Jiacang Ho, Byung-Gook Lee, Dae-Ki Kang:
Attack-less adversarial training for a robust adversarial defense. Appl. Intell. 52(4): 4364-4381 (2022) - [j32]Tintrim Dwi Ary Widhianingsih, Dae-Ki Kang:
Augmented domain agreement for adaptable Meta-Learner on Few-Shot classification. Appl. Intell. 52(7): 7037-7053 (2022) - [j31]Isack Thomas Nicholaus, Dae-Ki Kang:
Robust experience replay sampling for multi-agent reinforcement learning. Pattern Recognit. Lett. 155: 135-142 (2022) - [j30]Satarupa Mohanty, Prasant Kumar Pattnaik, Ahmed Abdulhakim Al-Absi, Dae-Ki Kang:
A Review on Planted (l, d) Motif Discovery Algorithms for Medical Diagnose. Sensors 22(3): 1204 (2022) - [j29]Isack Thomas Nicholaus, Jun-Seoung Lee, Dae-Ki Kang:
One-Class Convolutional Neural Networks for Water-Level Anomaly Detection. Sensors 22(22): 8764 (2022) - 2021
- [j28]Kevin Pratama, Dae-Ki Kang:
Trainable activation function with differentiable negative side and adaptable rectified point. Appl. Intell. 51(3): 1784-1801 (2021) - [j27]Isack Thomas Nicholaus, Jun Ryeol Park, Kyuil Jung, Jun-Seoung Lee, Dae-Ki Kang:
Anomaly Detection of Water Level Using Deep Autoencoder. Sensors 21(19): 6679 (2021) - 2020
- [j26]Jiacang Ho, Byung-Gook Lee, Dae-Ki Kang:
Uni-image: Universal image construction for robust neural model. Neural Networks 128: 279-287 (2020) - 2019
- [j25]Prima Sanjaya, Dae-Ki Kang:
Optimizing restricted Boltzmann machine learning by injecting Gaussian noise to likelihood gradient approximation. Appl. Intell. 49(7): 2723-2734 (2019) - 2018
- [j24]Jiacang Ho, Dae-Ki Kang:
One-class naïve Bayes with duration feature ranking for accurate user authentication using keystroke dynamics. Appl. Intell. 48(6): 1547-1564 (2018) - [j23]Alvin Poernomo, Dae-Ki Kang:
Biased Dropout and Crossmap Dropout: Learning towards effective Dropout regularization in convolutional neural network. Neural Networks 104: 60-67 (2018) - 2017
- [j22]Zhong-Liang Xiang, Dae-Ki Kang:
Attribute weighting for averaged one-dependence estimators. Appl. Intell. 46(3): 616-629 (2017) - [j21]Jiacang Ho, Dae-Ki Kang:
Mini-batch bagging and attribute ranking for accurate user authentication in keystroke dynamics. Pattern Recognit. 70: 139-151 (2017) - [j20]Kyung-Hwan Cha, Dae-Ki Kang:
Experimental analysis of hidden Markov model based secure misuse intrusion trace classification and hacking detection. J. Comput. Virol. Hacking Tech. 13(3): 233-238 (2017) - 2016
- [j19]Zhong-Liang Xiang, Xiang-Ru Yu, Dae-Ki Kang:
Experimental analysis of naïve Bayes classifier based on an attribute weighting framework with smooth kernel density estimations. Appl. Intell. 44(3): 611-620 (2016) - [j18]Alex Ming Hui Wong, Dae-Ki Kang:
Stationary Hand Gesture Authentication Using Edit Distance on Finger Pointing Direction Interval. Sci. Program. 2016: 7427980:1-7427980:15 (2016) - 2015
- [j17]Myoung-Jong Kim, Dae-Ki Kang, Hong Bae Kim:
Geometric mean based boosting algorithm with over-sampling to resolve data imbalance problem for bankruptcy prediction. Expert Syst. Appl. 42(3): 1074-1082 (2015) - [j16]Alex Ming Hui Wong, Dae-Ki Kang:
Game layout and artificial intelligence implementation in mobile 3D tower defence game. Int. J. Secur. Networks 10(1): 42-47 (2015) - [j15]Jiacang Ho, Dae-Ki Kang:
Sequence Alignment with Dynamic Divisor Generation for Keystroke Dynamics Based User Authentication. J. Sensors 2015: 935986:1-935986:14 (2015) - 2013
- [j14]Gi-Hyun Hwang, Dae-Ki Kang:
Design and Analysis of High-Performance Smart Card with HF/UHF Dual-Band RFID Tag and Memory Functions. Int. J. Distributed Sens. Networks 9 (2013) - [j13]Dae-Ki Kang:
Lightweight and Scalable Intrusion Trace Classification Using Interelement Dependency Models Suitable for Wireless Sensor Network Environment. Int. J. Distributed Sens. Networks 9 (2013) - 2012
- [j12]Myoung-Jong Kim, Dae-Ki Kang:
Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction. Expert Syst. Appl. 39(10): 9308-9314 (2012) - [j11]Gan Zhen Ye, Dae-Ki Kang:
Fusion of Hierarchical Behavior-based Actions in Mobile Robot Using Fuzzy Logic. J. Inform. and Commun. Convergence Engineering 10(2): 149-155 (2012) - 2011
- [j10]Dae-Ki Kang, Myoung-Jong Kim:
Propositionalized attribute taxonomies from data for data-driven construction of concise classifiers. Expert Syst. Appl. 38(10): 12739-12746 (2011) - [j9]Sami Abduljalil, Dae-Ki Kang:
Legacy of Smart Device, Social Network and Ubiquitous E-class System. J. Inform. and Commun. Convergence Engineering 9(1): 1-5 (2011) - [j8]Sami Abduljalil, Dae-Ki Kang:
Effective Model and Methods for Analysing Human Factors in Software Design for Efficient User Experience. J. Inform. and Commun. Convergence Engineering 9(1): 100-104 (2011) - [j7]Cong Jie Ng, Gi-Hyun Hwang, Dae-Ki Kang:
Improving the Rendering Speed of 3D Model Animation on Smart Phones. J. Inform. and Commun. Convergence Engineering 9(3): 266-270 (2011) - [j6]Sami Abduljalil, Gi-Hyun Hwang, Dae-Ki Kang:
Study of Social Network Site Interactivity to Identify and Avert Usability Flaws for Effective User's Experience. J. Inform. and Commun. Convergence Engineering 9(3): 325-330 (2011) - [j5]Chin-Tong Tan, Gi-Hyun Hwang, Dae-Ki Kang:
Game Transformation from Non-Augmented Reality to Augmented Reality. J. Inform. and Commun. Convergence Engineering 9(5): 619-623 (2011) - 2010
- [j4]Myoung-Jong Kim, Dae-Ki Kang:
Ensemble with neural networks for bankruptcy prediction. Expert Syst. Appl. 37(4): 3373-3379 (2010) - [j3]Myoung-Jong Kim, Hong Bae Kim, Dae-Ki Kang:
Optimizing SVM Ensembles Using Genetic Algorithms in Bankruptcy Prediction. J. Inform. and Commun. Convergence Engineering 8(4): 370-376 (2010) - 2009
- [j2]Dae-Ki Kang, Kiwook Sohn:
Learning decision trees with taxonomy of propositionalized attributes. Pattern Recognit. 42(1): 84-92 (2009) - 2006
- [j1]Jun Zhang, Dae-Ki Kang, Adrian Silvescu, Vasant G. Honavar:
Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data. Knowl. Inf. Syst. 9(2): 157-179 (2006)
Conference and Workshop Papers
- 2022
- [c16]Jie Yong Shin, Dae-Ki Kang:
A Higher Performing DARTS Model for CIFAR-10. ICHI 2022: 95-99 - 2020
- [c15]Arief Rachman Sutanto, Dae-Ki Kang:
A Novel Diminish Smooth L1 Loss Model with Generative Adversarial Network. IHCI (1) 2020: 361-368 - 2015
- [c14]Ahmed Abdulhakim Al-Absi, Dae-Ki Kang:
A Novel Parallel Computation Model with Efficient Local Memory Management for Data-Intensive Applications. CLOUD 2015: 958-963 - [c13]Dae-Ki Kang, Myoung-Jong Kim:
Poisson Model and Bradley terry Model for predicting multiplayer online battle games. ICUFN 2015: 882-887 - 2014
- [c12]Aaron Ling Chi Yi, Dae-Ki Kang:
Friends-and-native-people-aware approach for Collaborative Filtering. SCIS&ISIS 2014: 976-979 - [c11]Jiacang Ho, Dae-Ki Kang:
Sequence alignment of dynamic intervals for keystroke dynamics based user authentication. SCIS&ISIS 2014: 1433-1438 - [c10]Zhong-Liang Xiang, Xiang-Ru Yu, Alex Ming Hui Wong, Dae-Ki Kang:
Novel Naive Bayes based on Attribute Weighting in Kernel Density Estimation. SCIS&ISIS 2014: 1439-1442 - 2013
- [c9]Dae-Ki Kang:
Effective Sentiment Analysis Based on Term Evaluation by Bayesian Model Selection Criteria. ACPR 2013: 887-891 - [c8]Myoung-Jong Kim, Dae-Ki Kang:
Geometric Mean based Boosting Algorithm to Resolve Data Imbalance Problem. PACIS 2013: 27 - 2006
- [c7]Dae-Ki Kang, Adrian Silvescu, Vasant G. Honavar:
RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification. PAKDD 2006: 45-54 - [c6]Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant G. Honavar:
TRIPPER: Rule Learning Using Taxonomies. PAKDD 2006: 55-59 - 2005
- [c5]Dae-Ki Kang, Doug Fuller, Vasant G. Honavar:
Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation. ISI 2005: 511-516 - [c4]Dae-Ki Kang, Jun Zhang, Adrian Silvescu, Vasant G. Honavar:
Multinomial Event Model Based Abstraction for Sequence and Text Classification. SARA 2005: 134-148 - 2004
- [c3]Dae-Ki Kang, Adrian Silvescu, Jun Zhang, Vasant G. Honavar:
Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers. ICDM 2004: 130-137 - 2003
- [c2]Dae-Ki Kang, Joongmin Choi:
MetaNews: An Information Agent for Gathering News Articles on the Web. ISMIS 2003: 179-186 - 1997
- [c1]Dae-Ki Kang, Joong-Bae Kim, Ho-sang Ham:
HANMAUM - A Multi-agent Model for Customer, Merchant and Directory Service. WebNet 1997
Editorship
- 2021
- [e2]Madhusudan Singh, Dae-Ki Kang, Jong-Ha Lee, Uma Shanker Tiwary, Dhananjay Singh, Wan-Young Chung:
Intelligent Human Computer Interaction - 12th International Conference, IHCI 2020, Daegu, South Korea, November 24-26, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12615, Springer 2021, ISBN 978-3-030-68448-8 [contents] - [e1]Madhusudan Singh, Dae-Ki Kang, Jong-Ha Lee, Uma Shanker Tiwary, Dhananjay Singh, Wan-Young Chung:
Intelligent Human Computer Interaction - 12th International Conference, IHCI 2020, Daegu, South Korea, November 24-26, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12616, Springer 2021, ISBN 978-3-030-68451-8 [contents]
Informal and Other Publications
- 2014
- [i1]Tanmay Sinha, Ankit Banka, Dae-Ki Kang:
Leveraging user profile attributes for improving pedagogical accuracy of learning pathways. CoRR abs/1407.7260 (2014)
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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