I.-C. Baek and K.-J. Kim, “Web-based Interface for Data Labeling in StarCraft,” IEEE Conference on Computational Intelligence and Games, 2018.

K. Mori, S. Ito, T. Harada, R. Thawonmas and K.-J. Kim, “Feature Extraction of Gameplays for Similarity Calculation in Gameplay Recommendation,” IEEE 10th International Workshop on Computational Intelligence and Applications, 2017 PDF.

J.-H. Jeon, D.-M. Yoon, S.-I. Yang and K.-J. Kim, “Extracting Gamers’Cognitive Psychological Features and Improving Performance of Churn Prediction from Mobile Games,” IEEE Conference on Computational Intelligence and Games, 2017 PDF.

S.-H. Yoon and K.-J. Kim, “Deep Q Networks for Visual Fighting Game AI,” IEEE Conference on Computational Intelligence and Games, 2017 PDF.

M.-J. Kim and K.-J. Kim, “Opponent Modeling based on Action Table for MCTS-based Fighting Game AI,” IEEE Conference on Computational Intelligence and Games, 2017 PDF.

B.-J. Min and K.-J. Kim,“Learning to Play Visual Doom using Model-Free Episodic Control,” IEEE Conference on Computational Intelligence and Games, 2017 PDF.

J.-H. Park, S.-J. Yoo, K.-J. Kim, Y.-H. Gu, K.-H. Lee, and U.-H. Son, “PM10 Density Forecast Model Using Long Short Term Memory,” Ninth International Conference on Ubiquitous and Future Networks, 2017 PDF.

B.-H. Yoo, and K.-J. Kim, “Changing video game graphic styles using neural algorithms,” IEEE Conference on Computational Intelligence and Games, 2016 PDF.

H.-S. Park, and K.-J. Kim, “Deep Q-learning using redundant outputs in Visual Doom,” IEEE Conference on Computational Intelligence and Games, 2016 PDF.

M.-J. Kim, K.-J. Kim, S.-J. Kim, and A. K. Dey, “Evaluation of StarCraft Artificial Intelligence Competition Bots by Experienced Human Players,” ACM CHI (Late-Breaking Work), 2016 External Link.

S. S. Farooq, J.-W. Baek, and K.-J. Kim, “Interpreting Behaviors of Mobile Game Players from In-Game Data and Context Logs,” IEEE Conference on Computational Intelligence and Games, 2015 (pp.548-549) PDF.

I.-S. Oh and K.-J. Kim, “Testing Reliability of Replay-based Imitation for StarCraft,” IEEE Conference on Computational Intelligence and Games, 2015. (pp.548-549) PDF

D.-M. Yoon, J.-S. Lee, H.-S. Seon, J.-H. Kim, and K.-J. Kim, “Optimization of Angry Birds AI Controllers with Distributed Computing,” IEEE Conference on Computational Intelligence and Games, 2015. (pp.544-545)PDF

H.-S. Park, and K.-J. Kim, “MCTS with Influence Map for General Video Game Playing,” IEEE Conference on Computational Intelligence and Games, 2015.(pp.534-535)PDF

C.-M. Bae, E.-K. Kim, J.-C. Lee, K.-J. Kim and J.-C. Na, “Generation of an Arbitrary Shaped Large Maze by Assembling Mazes,” IEEE Conference on Computational Intelligence and Games, 2015. (pp.538-539)PDF

S. S. Farooq, H.-S. Park, and K.-J. Kim, “Inference of Opponent's Uncertain States in Ghost Game using Machine Learning,” The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, 2014 (pp. 335-346) PDF.

H.-S. Park, and K.-J. Kim, “Social Network Analysis of High-Level Players in Multiplayer Online Battle Arena Game,” The First Exploration on Games and Gamers Workshop @ SocInfo 2014PDF.

H.-T. Kim, D.-M. Yoon and K.-J. Kim, “Solving Geometry Friends using Monte-Carlo Tree Search with Directed Graph Representation,” IEEE Conference on Computational Intelligence and Games, 2014PDF.

I.-S. Oh, H.-C. Cho and K.-J. Kim, “Imitation Learning for Combat System in RTS Games with Application to StarCraft,” IEEE Conference on Computational Intelligence and Games, 2014 PDF.

H.-S. Park and K.-J. Kim, “Learning to Play Fighting Game using Massive Play Data,” IEEE Conference on Computational Intelligence and Games, 2014PDF.

H.-T. Kim, and K.-J. Kim, “Learning to Recommend Game Contents for Real-Time Strategy Gamers,” IEEE Conference on Computational Intelligence and Games, 2014PDF. .

S.-S. Farooq, and K.-J. Kim, “Evolution of Neural Controllers for Simulated and Real Quadruped Robots,” The Second International Conference on Robot, Vision and Signal Processing, pp. 295-298, 2013.PDF

H.-C. Cho, and K.-J. Kim, “Comparison of human and AI bots in StarCraft with replay data mining,” IEEE Conference on Computational Intelligence in Games, 2013PDF.

H.-C. Cho, K.-J. Kim and S.-B. Cho, “Replay-based strategy prediction and build order adaptation for StarCraft AI bots,” IEEE Conference on Computational Intelligence in Games, 2013PDF.

H.-S. Park, and K.-J. Kim, “Opponents modeling with incremental active learning: A case study of iterative prisoner's dilemma,” IEEE Conference on Computational Intelligence in Games, 2013PDF.

K.-J. Kim, K.-Y. Eo, Y.-R. Jung, S.-O. Kim, and S.-B. Cho, “Evolutionary conditions for the emergence of robotic theory of mind with multiple goals,” IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS), pp. 48-54, 2013 PDF.

D.-M. Yoon, and K.-J. Kim, “3D game model and texture generation using interactive genetic algorithm,” Workshop at SIGGRAPH ASIA (Computer Gaming Track), pp. 53-58, 2012 PDF.

H.-S. Park, H.-C. Cho, K.-Y. Lee, and K.-J. Kim, “Prediction of early stage opponent strategy for StarCraft AI using scouting and machine learning,” Workshop at SIGGRAPH ASIA (Computer Gaming Track), pp. 7-12, 2012 PDF.

H.-S. Park and K.-J. Kim, “Automatic python programming using stack-based genetic programming,” Genetic and Evolutionary Computation Conference (GECCO), pp. 641-642, 2012. PDF

D.-M. Yoon and K.-J. Kim, “Comparison of scoring methods for interactive evolutionary computation based image retouching system,” Genetic and Evolutionary Computation Conference (GECCO), pp. 617-618, 2012. PDF

H.-S. Park and K.-J. Kim, “Evolving a neural controller for fault-tolerant four-legged robots using parallel genetic algorithm,” International Conference on Advanced Information Technology and Sensor Application, p. 129, 2012 PDF.

J.-G. Park and K.-J. Kim, “A method for feature extraction of traffic sign detection and the system for real world scene,” IEEE International Conference on Emerging Signal Processing Applications, pp. 13-16, 2012 PDF.

K.-J. Kim and S.-B. Cho, “Server-Side early detection of StarCraft players with non-standard strategic behavior,” The 3rd International Conference on Internet (ICONI 2011), pp. 489-494, 2011 PDF

K.-J. Kim and S.-B. Cho, “Exploring features and classifiers to classify microRNA expression profiles of human cancer,” International Conference on Neural Information Processing, pp. 234-241, 2010 PDF

T. W. Cornforth, K.-J. Kim, and H. Lipson, “Evolution of analog circuit models of ion channels,” International Conference on Evolvable Systems, pp. 157-168, 2010. PDF

J.-G. Park, and K.-J. Kim, “Dimension reduction by principal component analysis for evolutionary and back-propagation neural networks,” International Conference on Convergence & Hybrid Information Technology, pp. 191-194, 2010PDF.

K.-J. Kim, and S.-B. Cho, “Experience on running a small-size simulated car racing tournament in an introductory programming course,” International Conference on Convergence & Hybrid Information Technology, pp. 200-206, 2010. PDF

J.-H. Seo, J.-G. Park, J.-H. Lee, and K.-J. Kim, “Designing robust robotic car controllers based on artificial neural network,” International Conference on Convergence & Hybrid Information Technology, pp. 183-190, 2010. PDF

K.-J. Kim and S.-B. Cho, “Evaluation of distance measures for speciated evolutionary neural networks in pattern classification problems,” International Conference on Neural Information Processing, pp. 630-637, 2009.PDF

K.-J. Kim and H. Lipson, “Towards a simple robotic theory of mind,” Performance Metrics for Intelligent Systems Workshop, pp. 131-138, 2009.PDF

K.-J. Kim and S.-B. Cho, “Combining multiple evolved analog circuits for robust evolvable hardware,” International Conference on Intelligent Data Engineering and Automated Learning, pp. 359-367, 2009. PDF

K.-J. Kim and H. Lipson, ““Thoery of Mind” in simulated robots,” Genetic and Evolutionary Computation Conference (GECCO) - Late Braking Papers, pp. 2071-2076, 2009. PDF

K.-J. Kim, and S.-B. Cho, “Ensemble approaches in evolutionary game strategies: A case study in Othello,” IEEE Symposium on Computational Intelligence in Games, pp. 212-219, 2008. PDF

K.-J. Kim, and S.-B. Cho, “Integrated model for informal inference based on neural networks,” International Conference on Neural Information Processing, pp. 950-959, 2007. PDF

K.-J. Kim, and S.-B. Cho, “Diverse evolutionary neural networks based on information theory,” International Conference on Neural Information Processing, pp. 1007-1016, 2007. PDF

K.-J. Kim, M.-C. Jung and S.-B. Cho, “Episodic memory for ubiquitous multimedia contents management system,” The 20th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 796-805, 2007. PDF

S.-B. Cho, K.-J. Kim and K.-S. Hwang, “Generating cartoon-style summary of daily life with multimedia mobile devices,” The 20th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 135-144, 2007. PDF

K.-J. Kim, H.-J. Choi, and S.-B. Cho, “Hybrid of evolution and reinforcement learning for Othello players,” IEEE Symposium on Computational Intelligence and Games, pp. 203-209, 2007.PDF

K.-J. Kim, and S.-B. Cho, “Ensemble evolution of checkers players with knowledge of opening, middle and endgame,” 9th Pacific Rim International Conference on Artificial Intelligence, vol. 4099, pp. 950-954, 2006. PDF

B.-Y. Choi, K.-J. Kim, and S.-B. Cho, “The embodiment of autonomic computing in the middleware for distributed system with Bayesian networks,” International Conference on Intelligent Computing, vol. 4113, pp. 1047-1052, 2006.PDF

K.-J. Kim and S.-B. Cho, “Evolutionary aggregation and refinement of Bayesian networks,” IEEE Congress on Evolutionary Computation 2006, pp. 1513-1520, 2006. PDF

K.-J. Kim and S.-B. Cho, “Evolutionary Othello players boosted by opening knowledge,” IEEE Congress on Evolutionary Computation 2006, pp. 984-991, 2006.PDF

K.-J. Kim and S.-B. Cho, “Applications of diverse evolutionary neural networks based on information theory,” Industrial Mathematics Initiative, 2005. PDF

K.-J. Kim and S.-B. Cho, “Construction of Bayesian networks for context-aware service robot,” The 2nd International Conference on Ubiquitous Robots and Ambient Intelligence, pp. 69, 2005.

K.-J. Kim and S.-B. Cho, “DNA Gene expression classification with ensemble classifiers optimized by speciated genetic algorithm,” First International Conference on Pattern Recognition and Machine Intelligence (PReMI'05), pp. 649-653, 2005.PDF

K.-J. Kim, S.-H. Yoo and S.-B. Cho, “Bayesian validation of fuzzy clustering for analysis of Yeast Cell Cycle data,” 9th International Conference on Knowledge-based Intelligent Information & Engineering Systems, pp. 777-784, Melbourne, Australia, 2005. PDF

K.-J. Kim, J.-O. Yoo, and S.-B. Cho, “Robust inference of Bayesian networks using speciated evolution and ensemble,” 15th International Symposium on Methodologies for Intelligent Systems, pp. 92-101, Saratoga Springs, USA, 2005. PDF

K.-J. Kim and S.-B. Cho, “Informal inference based on the integration of multiple neural networks,” Sixth China-India-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics, India, 2004.

S.-J. Han, K.-J. Kim, and S.-B. Cho, “Evolutionary learning program's behavior in neural networks for anomaly detection,” International Conference on Neural Information Processing, pp. 236-241, India, 2004. PDF

K.-J. Kim and S.-B. Cho, “Evolving artificial neural networks for DNA microarray analysis,” Congress on Evolutionary Computation, pp. 2370-2377, 2003. PDF

K.-J. Kim and S.-B. Cho, “BN+BN: Behavior network with Bayesian network for intelligent agent,” The 16th Australian Joint Conference on Artificial Intelligence, pp. 979-991, 2003. PDF

K.-J. Kim and S.-B. Cho, “Behavior selection architecture for tangible agent,” IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. 175-180, 2003. PDF

H.-J. Min, K.-J. Kim and S.-B. Cho, “Generating optimal behaviors of mobile robot using behavior network with planning capability,” IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. 186-191, 2003. PDF

K.-J. Kim and S.-B. Cho, “Fusion of structure adaptive self-organizing maps using fuzzy integral,” International Joint Conference on Neural Networks, pp. 28-33, 2003. PDF

K.-J. Kim and S.-B. Cho, “Checkers strategy evolution with speciated neural networks,” PRICAI 2002, pp. 599, 2002. PDF

K.-J. Kim and S.-B. Cho, “Evolving speciated checker players with crowding algorithm,” Congress on Evolutionary Computation, pp. 407-412, Hawaii, USA, May 2002. PDF

K.-J. Kim and S.-B. Cho, “Conceptual information extration with link-based search,” Web Intelligence 2001, pp. 367-372, Maebashi, Japan, Oct, 2001. PDF

K.-J. Kim and S.-B. Cho, “Dynamic selection of evolved neural controllers for higher behaviors of mobile robot,” IEEE International Symposium on Computational Intelligence in Robotics Automation 2001, pp. 467-472, banff, Canada, 2001. PDF

K.-J. Kim and S.-B. Cho, “A personalized web search engine using fuzzy concept network with link structure,” Joint 9th IFSA World Congress and 20th NAFIPS International Conference , vol. 1, pp. 81-86, Vancouver, Canada, 2001. PDF

K.-J. Kim and S.-B. Cho, “Coordination of multiple behavior modules evolved on CAM-Brain,” Congress on Evolutionary Computation 2001, vol. 2, pp. 1414-1421, seoul, korea, 2001. PDF

K.-J. Kim and S.-B. Cho, “Robot action selection for higher behaviors with CAM-Brain modules,” International Symposium on Robotics 2001, pp. 1623-1628, seoul, korea, 2001. PDF

K.-J. Kim and S.-B. Cho, “Integration of multiple neural networks evolved on cellular automata by action selection mechanism,” 7th International Conference on Neural Information Processing, Vol.2, pp. 687-692, November, Taejon, Korea, 2000. PDF