• I. Han, D.-H. Park, and K.-J. Kim, “A New Open-Source Off-road Environment for Benchmark Generalization of Autonomous Driving,” IEEE Access. [PDF][Youtube][Github] . 
  • K.-J. Kim and S.-B. Cho, “Inference of Other’s Minds with Limited Information in Evolutionary Robotics,” International Journal of Social Robotics, vol. 13, no. 4, pp. 661-676, July 2021 PDF.
  • S. S. Farooq, I. Mehmood, M. Fiaz, A. K. Bashir, R. Nawaz, K.-J. Kim and S.-K. Jung, “”Multi-Modal Data Analysis Based Game Player Experience Modeling Using LSTM-DNN,” CMC-Computers Materials & Continua, May 2021 PDF.


  • E.-J. Lee, Y.-J. Jang, D.-M. Yoon, J.-H. Jeon, S.-I. Yang, S.-K. Lee, D.-W. Kim, P. P. Chen, A. Guitart, P. Bertens, Á. Periáñez, F. Hadiji, M. Müller, Y.-J. Joo, J.-Y. Lee, I.-C. Hwang and K.-J. Kim, “Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data,” IEEE Trans. on Games, vol. 11, no. 3, pp. 215-226, Sep 2019 PDF.
  • M. Certicky, D. Churchill, K.-J. Kim, M. Certicky, and R. Kelly, “StarCraft AI Competitions, Bots and Tournament Management Software,” IEEE Trans. on Games, vol. 11, no. 3, pp. 227-237, Sep 2019 PDF.


  • M.-J. Kim, K.-J. Kim, S.-J. Kim and A. K. Dey, “Performance Evaluation Gaps in a Real-Time Strategy Game between Human and Artificial Intelligence Players,” IEEE Access, 2018 PDF.


  • D.-M. Yoon, and K.-J. Kim, “3D Game Model and Texture Generation Using Interactive Genetic Algorithm,” ACM Computers in Entertainment, vol. 14, no. 1, Spring 2017  PDF.
  • H.-C. Cho, H.-S. Park, C.-Y. Kim and K.-J. Kim, “Investigation of the effect of “Fog of war” in the prediction of StarCraft strategy using machine learning,” ACM Computers in Entertainment, vol. 14, no. 1, Spring 2017 PDF.
  • K.-J. Kim, and S.-B. Cho, “Ensemble Bayesian networks evolved with speciation for high-performance prediction in data mining,” Soft Computing, vol. 21, no. 4, pp. 1065-1080, 2017 PDF.
  • I.-S. Oh, H.-C. Cho, and K.-J. Kim, “Playing Real-Time Strategy Games by Imitating Human Players’ Micromanagement Skills Based on Spatial Analysis,” Expert Systems with Applications, 2017 PDF.


  • K.-J. Kim and C.-H. Chung, “Tell me what you eat, and I will tell you where you come from: A Data Science Approach for Global Recipe Data on the Web,” IEEE Access PDF.
  • S. Farooq, I.-S. Oh, M.-J. Kim, and K.-J. Kim, “StarCraft AI Competition: A Step Toward Human-Level AI for Real-Time Strategy Games,” AI Magazine, Summer, 2016 PDF.
  • H.-S. Park and K.-J. Kim, “Active Player Modeling in the Iterated Prisoner’s Dilemma,” Computational Intelligence and Neuroscience, 2016 PDF.


  • M. Swiechowski, H.-S. Park, J. Mańdziuk and K.-J. Kim,“Recent Advances in General Game Playing,” The Scientific World Journal, August 2015 PDF.
  • K.-J. Kim, and S.-B. Cho, “Meta-Classifiers for High-Dimensional, Small Sample Classification for Gene Expression Analysis,” Pattern Analysis and Applications, vol. 18, no. 3, pp. 553-569, August 2015 PDF.
  • D.-M. Yoon and K.-J. Kim, “Challenges and Opportunities in Game Artificial Intelligence Education using Angry Birds,” IEEE Access, June 2015 PDF.
  • J. A. Awan, D.-H. Bae, and K.-J. Kim, “Identification and trend analysis of homogeneous rainfall zones over the east asia monsoon region,” International Journal of Climatology, vol. 35, no. 7, pp. 1422-1433, June 2015 PDF.
  • K.-J. Kim, and S.-B. Cho, “Inference of Other’s Internal Neural Models from Active Observation,” BioSystems, vol. 128, pp. 37-47, Feb 2015 PDF.


  • I.-S. Oh, J.-E. Lee, and K.-J. Kim, “Proactive News Article Summarization Service using Personal Intention Models,” Evolutionary and Institutional Economic Review, vol. 11, no. 2, pp. 105-120, 2014 PDF.


  • K.-J. Kim, and S.-B. Cho, “Game AI competitions: An open platform for computational intelligence education,” IEEE Computational Intelligence Magazine, August 2013 PDF.
  • J.-G. Park, and K.-J. Kim, “Design of a visual perception model with edge-adaptive Gabor filter and support vector machine for traffic sign detection,” Expert Systems with Applications, vol. 40, pp. 3679-3687, 2013 PDF.
  • H.-T. Kim and K.-J. Kim, “Hybrid of Rule-based Systems Using Genetic Algorithm to Improve Platform Game Performance,” Procedia Computer Science, pp. 114 – 120, 2013 PDF.
  • D.-M. Yoon, and K.-J. Kim, “Interactive Evolution of 3D Models based on Direct Manipulation for Video Games,” Procedia Computer Science, 2013. PDF
  • J.-E. Lee, H.-S. Park, K.-J. Kim and J.-C. No, “Learning to Predict the Need of Summarization on News Articles,” Procedia Computer Science, pp. 274-279, 2013. PDF
  • H.-S. Park, and K.-J. Kim, “The Automated Fault-Recovery for Four-Legged Robots using Parallel Genetic Algorithm,” Procedia Computer Science, pp. 158-166, 2013. PDF


  • T.-S. Kim, J.-C. Na and K.-J. Kim, “Optimization of autonomous car controller using self-adaptive evolutionary strategy,” International Journal of Advanced Robotic Systems, DOI: 10.5772/50848, 2012 PDF.
  • K.-J. Kim, J.-H. Seo, J.-G. Park and J.-C. Na, “Generalization of TORCS car racing controllers with artificial neural networks and linear regression analysis,” Neurocomputing, vol. 88, pp. 87-99, 2012 PDF.
  • K.-J. Kim and S.-B. Cho, “Automated synthesis of multiple analog circuits using evolutionary computation for redundancy-based fault-tolerance,” Applied Soft Computing, vol. 12, no. 4, pp. 1309-1321, 2012 PDF.
  • K.-J. Kim and S.-B. Cho, “The 2011 IEEE conference on computational intelligence and games report,” IEEE Computational Intelligence Magazine, pp. 15-18, Feb 2012 PDF.


  • K.-J. Kim, and S.-B. Cho, “Evolutionary neural networks for practical applications,” Journal of Intelligent and Fuzzy Systems, vol. 22, pp. 53-55, 2011 PDF.
  • K.-J. Kim, J.-G. Park, and S.-B. Cho, “Correlation analysis and performance evaluation of distance measures for evolutionary neural networks,” Journal of Intelligent and Fuzzy Systems, vol. 22, pp. 83-92, 2011 PDF.


  • K.-J. Kim, A. Wang, and H. Lipson, “Automated synthesis of resilient and tamper-evident analog circuits without a single point of failure,” Genetic Programming and Evolvable Machines, vol. 11, no. 1, pp. 35-59, 2010 PDF.


  • K.-J. Kim and S.-B. Cho, “A genetic algorithm approach to optimal ensemble classifiers for DNA microarray data analysis,” IEEE Transactions on Evolutionary Computation, vol. 12, no. 3, pp. 377-388, 2008 PDF.
  • K.-J. Kim and S.-B. Cho, “Evolutionary ensemble of diverse artificial neural networks using speciation,” Neurocomputing, vol. 71, pp. 1604-1618, 2008 PDF.


  • K.-J. Kim, M.-C. Jung, and S.-B. Cho, “KeyGraph-based chance discovery for mobile contents management system,” International Journal of Knowledge-based Intelligent Engineering Systems, vol. 11, pp. 313-320, 2007 PDF.
  • S.-B. Cho, K.-J. Kim, K.-S. Hwang, and I.-J. Song, “AniDiary: Summarizing user’s daily life in cartoon-style diary with Bayesian networks,” IEEE Pervasive Computing, July-September, pp. 66-75, 2007 PDF.
  • K.-J. Kim and S.-B. Cho, “Personalized mining of web documents using link structures and fuzzy concept networks,” Applied Soft Computing, vol. 7, no. 1, pp. 398-410, Jan 2007 PDF.


  • K.-J. Kim and S.-B. Cho, “A unified architecture for agent behaviors with selection of evolved neural network modules,” Applied Intelligence, vol. 25, no. 3, pp. 253-268, Dec 2006 PDF.
  • K.-J. Kim and S.-B. Cho, “Ensemble classifiers based on correlation analysis for DNA microarray classification,” Neurocomputing, vol. 70, no. 1-3, pp. 187-199, Dec 2006 PDF.
  • K.-J. Kim and S.-B. Cho, “Evolved neural networks based on cellular automata for sensory-motor controller,” Neurocomputing, vol. 69, no. 16-18, pp. 2193-2207, Oct 2006 PDF.
  • K.-J. Kim and S.-B. Cho, “A comprehensive overview of the applications of artificial life,” Artificial Life, vol. 12, no. 1, pp. 153-182, Jan 2006 PDF.


  • K.-J. Kim and S.-B. Cho, “Systematically incorporating domain-specific knowledge into evolutionary speciated checkers players,” IEEE Transactions on Evolutionary Computation, vol. 9, no. 6, pp. 615-627, Dec 2005 PDF.


  • K.-J. Kim and S.-B. Cho, “Prediction of colon cancer using evolutionary neural network,” Neurocomputing, vol. 61, pp. 361-379, Oct 2004 PDF.
  • K.-J. Kim and S.-B. Cho, “Fuzzy integration of structure adaptive SOM’s for web content mining,” Fuzzy Sets and Systems, vol. 148, no. 1, pp. 43-60, Nov 2004 PDF.