2014
  • I.-S. Oh, J.-E. Lee, and K.-J. Kim, “Proactive News Article Summarization Service using Personal Intention Models,” Evolutiona​ry and Institutio​nal Economic Review, 2014 (accepted).
  • J. A. Awan, D.-H. Bae, and K.-J. Kim, “Identification and trend analysis of homogeneous rainfall zones over the east asia monsoon region,” Journal of Climatology, 2014 (accepted).
  • K.-J. Kim, and S.-B. Cho, “Meta-Classifiers for High-Dimensional, Small Sample Classification for Gene Expression Analysis,” Pattern Analysis and Applications, 2014 (accepted).
  • D.-M. Yoon, and K.-J. Kim, “Interactive Evolution of 3D Models based on Direct Encoding for Video Game,” ACM Computers in Entertainment, 2014 (in press).
  • 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, 2014 (in press).
2013
  • K.-J. Kim, and S.-B. Cho, “Game AI competitions: An open platform for computational intelligence education,” IEEE Computational Intelligence Magazine, August 2013PDF.
  • 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, 2013PDF.
  • 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
2012
  • 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.
2011
  • 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.
2010
  • 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, 2010PDF.
2008
  • 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.
2007
  • 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.
2006
  • 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.
2005
  • 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.
2004
  • 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.
public/publications_international.txt · Last modified: 2014/08/05 10:16 by kimkj
Back to top
CC Attribution-Share Alike 3.0 Unported
chimeric.de = chi`s home Valid CSS Driven by DokuWiki do yourself a favour and use a real browser - get firefox!! Recent changes RSS feed Valid XHTML 1.0