2019

  • T.-H. Park, E.-J. Jeong, and K.-J. Kim, “Baba is Gym: A New Challenge for Game Reasoning and Understanding,” Korea Software Congress, Winter 2019.
  • C.-M. Bae, and K.-J. Kim, “Churn Prediction for Mobile Game Players using Model Transfer of Tree-based Classifiers,” Korea Software Congress, Winter 2019.
  • D.-H. Park, and K.-J. Kim, “Hierarchical Imitation Learning for Driving Off Road in Simulated Environment,” Korea Software Congress, Winter 2019.
  • E.-J. Jeong, and K.-J. Kim, “Behavior Cloning of StarCraft II Mini Games using CNN Architecture,” Korea Software Congress, Winter 2019.
  • W.-I. Shim, T.-H. Park, and K.-J. Kim, “Multi-Modal Deep Learning for Autonomous Driving in Urban Environment,” Korea Software Congress, Winter 2019.
  • D.-H. Park, H.-T. Joo, and K.-J. Kim, “Simulation based Autonomous Driving Car Learning using Imitation and Hierarchical Architecture,” Korea Congress on Computer, 2019.
  • S.-H. Yoon, and K.-J. Kim, “Multi-agents Reinforcement Learning of DGN using Abstraction of Adjacency Matrix for StarCraft,” Korea Congress on Computer, 2019.

2018

  • J.-Y. Noh, J.-H. Jeon, C.-M. Bae, and K.-J. Kim, “Generalized Feature Extraction Method Based on Various Mobile Game Logs for Predicting Gamer Behavior,” Korea Software Congress, 2018.
  • W.-I. Shim, and K.-J. Kim, “Multitask Reinforcement Learning for Starcraft II Mini Games,” Korea Software Congress, 2018.
  • H.-T. Joo, H.-C. Park, and K.-J. Kim, “Discretization of Continuous Action Space of Reinforcement Algorithm for Safe Autonomous Vehicle Driving,” Korea Software Congress, 2018.
  • W.-I. Shim, T.-H. Park, and K.-J. Kim, “Comparison of Policy Optimization Reinforcement Learning for Simulated Autonomous Car Environment,” Korea Software Congress, 2018.
  • S.-H. Yoon, S.-J. Lee, and K.-J. Kim, “League of Legends Game Video Highlight Extraction using Autoencoder,” Korea Software Congress, 2018.
  • B.-J. Min, and K.-J. Kim, “Memory-based Imitation learning using Human-play data,” Korea Software Congress, 2018.
  • S.-H. Lee, and K.-J. Kim, “Imitation Learning of ‘Space Invaders’ using Human Play Data,” Korea Software Congress, 2018.
  • T.-H. Park, and K.-J. Kim, “Improvement of Deep Reinforcement Learning for Pac-Man using Virtual Rewards based on Life Score,” Korea Congress on Computer, 2018.

2017

  • J.-H. Jeon, D.-M. Yoon, S.-I. Yang, and K.-J. Kim, “ Mobile Gamer Categorization with Archetypal Analysis and Cognitive-Psychological Features from Log Data,” Korea Congress on Computer 2017 PDF.

2016

  • J.-H. Jeon, and H.-S. Park, “Churn prediction using game log data in mobile game,” KIISE Winter, 2016.

2015

  • C.-M. Bae, S.-H. Yoon and K.-J. Kim, “Improvement of Fighting Game Artificial Intelligence using Extended Classifier System,” KIISE Winter Conference, 2015.

2014

  • H.-T. Kim, D.-Y. Kim, and K.-J. Kim, “General artificial intelligence for video games using game analysis and monte-carlo tree search,” KIISE Winter Conference, 2014 PDF.
  • S. S. Farooq, and K.-J. Kim, “Educational Use of “Game AI Competition Portal” for Advanced Programming Courses,” KIISE Spring Conference, 2014.PDF
  • K.-J. Ahn, D.-H. Jang, and K.-J. Kim, “Development of Artificial Intelligence for Angry Birds Using Region Segmentation and Object Density Calculation,” HCI 2014 PDF.

2013

  • H.-T. Kim, and K.-J. Kim, “Post Processing Algorithm Proposal of Platform Game Artificial Intelligence for A* Path Planning Application,” KIISE Fall Conference, pp. 643 – 645, 2013PDF.
  • D.-M. Yoon, and K.-J. Kim, “Automatic Fabrication of Physical Objects for Board Games using Interactive Evolutionary Computation and 3D Printer”, KIISE Fall Conference, 2013 PDF
  • H.-S. Park and K.-J. Kim, “Active Data Collection and Opponent Player Modeling using Estimation-Exploration Algorithm and Evolutionary Neural Network,” KIISE Fall Conference, 2013PDF
  • H.-S. Jang, S.-J. Yoo, D.-I. Han and K.-J. Kim, “Comparative study of feature vectors and classification methods for sentiment analysis for online review of korean restaurant in U.S.A.,” IEEK Summer Conference, 2013PDF.
  • H.-S. Park, D.-M. Yoon, H.-C. Cho, and K.-J. Kim, “Applications of machine learning for games: Case studies,” IEEK Summer Conference, 2013PDF.
  • S.-S. Farooq, and K.-J. Kim, “The systematic analysis of evolved neural controllers for quadruped robots,” Korea Congress on Computer, 2013PDF.
  • H.-T. Kim, and K.-J. Kim, “Development of artificial intelligence for geometry friends using A* path planning and rule-based systems,” Korea Congress on Computer, pp. 1532 – 1534, 2013 PDF.
  • H.-S. Park and K.-J. Kim, “Opponent’s player’s decision modeling in iterated prisoner’s dilemma using reverse engineering technique,” Korea Congress on Computer, 2013 PDF.

2012

  • H.-C. Cho, and K.-J. Kim, “Design and evaluation of intelligence architecture for RTS games: Case Study of StarCraft,” Fall Conference of Korea Culture & Contents Technology Association, 2012.PDF
  • H.-J. Cha, and K.-J. Kim, “Building a WIKI-style portal site to popularize game AI competitions,” Fall Conference of Korea Culture & Contents Technology Association, 2012.
  • H.-S. Park, A.-R. Park and K.-J. Kim, “Fault-tolerant analog circuit design using average and worst case analysis evolutionary strategy,” Korea Congress on Computer 2012.PDF
  • D.-M. Yoon, and K.-J. Kim, “Web-based Game Content Generation Method using L-system and Interactive Genetic Algorithm,” Korea Congress on Computer 2012.PDF
  • S.S.Farooq, H.M.W.Khalil and A.Arif, “Cost effective design of Autonomous Chess Playing Robot for AI research platform,” Korea Congress on Computer 2012.PDF
  • H.-S. Park, and K.-J. Kim, “Python bytecode evolution using stack-based genetic programming for regression problems,” Symposium on Brain and Artificial Intelligence, 2012 (Abstract).PDF
  • D.-M. Yoon, and K.-J. Kim, “Comparison of scoring input methods for IGA-based image retouching system,” Symposium on Brain and Artificial Intelligence, 2012 (Abstract).PDF
  • K.-J. Kim, “Building a 3D printer for in-situ fault-tolerant robots,” HCI 2012.PDF

2011

  • H.-S. Park, and K.-J. Kim, “Genetic Programming using Bytecode-Level Evolution for Python Programming Language,” KIISE Fall Conference, 2011.
  • D.-M. Yoon, K.-J. Kim, “Dimensionality reduction of speeded up robust features using neural networks for object recognition in mobile environments,” Korea Congress on Computer, 2011.
  • J.-G. Park, and K.-J. Kim, “Real-time traffic sign detection using K-means clustering and neural network,” Korea Congress on Computer, 2011.PDF
  • K.-O. Yoon, and K.-J. Kim, “Design of 3D car racing controller using real-time track modeling and high-level sensors,” Korea Congress on Computer, 2011.PDF
  • K.-J. Kim and S.-B. Cho, “Automated evaluation and prediction of StarCraft strategy using data mining techniques,” Proc. of Korea Business Intelligence Data Mining Conference, 2011.PDF
  • J.-G. Park, and K.-J. Kim, “Performance evaluation of self-adaptive evolutionary strategy for evolutionary robotics,” HCI 2011 (accepted). PDF
  • D.-M. Yoon, and K.-J. Kim, “Prediction of rating score from short comments on movies using word-rating correlation analysis,” HCI 2011 (accepted). PDF
  • H.-S. Park, and K.-J. Kim, “Research on scalability of evolutionary analog circuits: Band-pass filter case study,” HCI 2011 (accepted).PDF

2010

  • K.-H. Oh, K.-J. Kim, and S.-B. Cho, “Generating a variety of robot controllers by using speciation based on behavior,” KIISE Fall Conference, vol. 37, no. 2(A), pp. 62-63, 2010. PDF
  • S.-H. Lee, K.-J. Kim, and S.-B. Cho, “Observation on leadership in evolving robot colony,” KIISE Fall Conference, vol. 37, no. 2(A), pp. 64-65, 2010. PDF
  • K.-J. Kim, “Unmanned ground vehicle programming with TORCS-based car simulator,” The 6th National Defense Information and Control Technology Conference, pp. 147-149, 2010.
  • K.-J. Kim, “Automated design of fault-tolerant robots using evolutionary computation,” The 6th National Defense Information and Control Technology Conference, pp. 150-152, 2010. PDF
  • D.-M. Yoon, H.-Y. Do, K.-J. Kim, “Menu-based clustering for restaurant recommendation websites using sequential informtion bottleneck,” Korea Congress on Computer, vol. 37, no. 1(C), pp. 423-428, 2010. PDF
  • J.-G. Park, K.-J. Kim, “Feature extraction for off-line handwritten character recognition using SIFT descriptor,” Korea Congress on Computer, vol. 37, no. 1(C), pp. 496-500, 2010. PDF
  • H.-S. Park, and K.-J. Kim, “Systematic evaluation of island based real-valued genetic algorithm with graphics processing unit,” Korea Congress on Computer, vol. 37, no. 1(C), pp. 328-333, 2010. PDF

2007

  • Y.-S. Lee, K.-J. Kim, and S.-B. Cho, “Life log story generation in mobile using user context and petri net,” Proceedings of the Korea Computer Congress, vol. 34, no. 1(A), pp. 97-98, 2007.PDF

2006

  • Y.-S. Lee, K.-J. Kim, and S.-B. Cho, “Summarizing user’s daily life with conceptNet and KeyGraph,” Proceedings of 33rd KISS Fall Conference, vol. 33, no. 2(B), pp. 244-249, 2006.PDF
  • K.-J. Kim, Y.-S. Lee, K.-S. Hwang, J.-H. Hong, and S.-B. Cho, “Development of mobile life browser based on concept network,” Proceedings of 33rd KISS Fall Conference, vol. 33, no. 2(B), pp. 71-76, 2006.PDF
  • S.-S. Lee, K.-J. Kim and S.-B. Cho, “Behavior prediction of adaptive middleware based on Bayesian networks using probing algorithm,” Proceedings of Korea Computer Congress, vol. 33, no. 1(A), pp. 211-213, 2006.PDF
  • B.-Y. Choi, K.-J. Kim and S.-B. Cho, “A diagnosis engine using Bayesian network for self-management of adaptive middleware,” Proceedings of Korea Computer Congress, vol. 33, no. 1(A), pp. 220-222, 2006.PDF
  • K.-J. Kim, and S.-B. Cho, “Optimization of Bayesian networks aggregation using genetic algorithm,” Proceedings of Korea Computer Congress, vol. 33, no. 1(B), pp. 121-123, 2006.

2005

  • K.-J. Kim, and S.-B. Cho, “Speciated evolutionary checkers player using game knowledge,” Proceedings of the 32nd KISS Fall Conference, vol. 32, no. 2, pp. 754-756, 2005. PDF
  • B.-Y. Choi, K.-J. Kim and S.-B. Cho, “Inference of system resource states using Bayesian network for self-optimizing and self-healing component-based middleware,” Proceedings of the 32nd KISS Fall Conference, vol. 32, no. 2, pp. 829-831, 2005. PDF
  • S.-S. Lee, K.-J. Kim, S.-B. Cho and H.-Y. Youn, “Adaptive behavior prediction based on Bayesian networks for adaptive middleware,” Proceedings of Korea Computer Congress, vol. 32, no. 1, pp. 748-750, 2005.
  • K.-J. Kim, and S.-B. Cho, “Refinement of Bayesian networks using minimum description length and evolutionary algorithm,” Proceedings of Korea Computer Congress, vol. 32, no. 1, pp. 628-630, 2005. PDF

2004

  • J.-O. Yoo, K.-J. Kim and S.-B. Cho, “Intelligent learning and prediction of user’s location for ubiquitous computing,” Proceedings of Korea Intelligent Information Systems Society Fall Conference, pp. 139-148, 2004. PDF
  • J.-O. Yoo, K.-J. Kim and S.-B. Cho, “Speciated evolution of Bayesian networks ensembles for robust inference,” Proceedings of the 31th KISS Fall Conference (1), pp. 226-228, 2004.
  • J.-O. Yoo, K.-J. Kim and S.-B. Cho, “Bayesian inference with fuzzy variables for customized high level context extraction,” Proceedings of the 31th KISS Fall Conference (1), pp. 115-117, 2004. PDF
  • M.-C. Jung, K.-J. Kim and S.-B. Cho, “Web services composition based on behavior network for automatic construction of complex services,” Proceedings of the 31th KISS Spring Conference (B), pp. 580-582, 2004.
  • K.-J. Kim and S.-B. Cho, “Classifying colon cancer by integrating diverse speciated evolutionary neural networks,” Proceedings of the 31th KISS Spring Conference (B), pp. 583-585, 2004. PDF

2003

  • K.-J. Kim and S.-B. Cho, “Analysis of DNA microarray data using evolutionary neural networks,” Proceedings of the 30th KISS Fall Conference (2), pp. 733-735, 2003. PDF
  • H.-J. Min, K.-J. Kim and S.-B. Cho, “Planning capability of action selection network for generating optimal behaviors of agent,” Proceedings of the 30th KISS Spring Conference (B), pp. 473-475, 2003.
  • K.-J. Kim and S.-B. Cho, “Web documents classification with fuzzy integration of multiple structure-adaptive self-organizing maps,” Proceedings of the 30th KISS Spring Conference (B), pp. 371-373, 2003.

2002

  • S.-H. Yoo, K.-J. Kim and S.-B. Cho, “Classification of web data using SASOM+DT for Web usage mining,” Proceedings of the 29th KISS Fall Conference (2), pp. 346-348, 2002. PDF
  • K.-J. Kim and S.-B. Cho, “Goal inference of behavior-based agent using Bayesian network,” Proceedings of 29th KISS Fall Conference (2), pp. 349-351, 2002.
  • K.-J. Kim and S.-B. Cho, “Generation of diverse evolutionary checkers players using speciation algorithm,” Proceedings of the 29th KISS Spring Conference (B), pp. 226-228, 2002.

2001

  • K.-J. Kim and S.-B. Cho, “A comparison of behavior network and rule-based integration method for higher-level behavior implementation,” Proceedings of the KIPS Fall Conference, 2001.
  • K.-J. Kim and S.-B. Cho, “Behavior generation mechanism using multiple CAM-Brain modules,” Proceedings of the Korea Cognitive Science Society Spring Conference, pp. 63-66, 2001. PDF
  • K.-J. Kim and S.-B. Cho, “Personalization of link-based search engine by fuzzy concept network,” Proceedings of the 28th KISS Spring Conference (B), pp. 316-318, 2001.

2000

  • Y.-G. Seo, K.-J. Kim, Y.-G. Jung, and S.-B. Cho, “A software agent to analyze the structure of web site,” Proceedings of the 27th KISS Fall Conference (II), pp. 21-23, 2000. PDF
  • K.-J. Kim and S.-B. Cho, “Action selection mechanism for combining of CAM-Brain modules,” Proceedings of the 27th KISS Fall Conference (II), pp. 137-139, 2000. PDF