Publications – CILab GIST

Preprint

2024

I.-C. Baek, T.-H. Park, J.-H. Noh, C.-M. Bae, and K.-J. Kim, “ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generation“, arXiv:2406.11875 [Link]

2023

I.-C. Baek, T.-H. Park, and K.-J. Kim, “Personalized In-Game Tutorial Generation Through Incorporation of Procedural Context Generator with Player Student Model,” Available at SSRN: http://ssrn.com/abstract=4676403
H.-Y. Jung, and K.-J. Kim, “Discrete Prompt Compression with Reinforcement Learning,” arXiv:2308.08758, [Link][Github]
H.-C. Jeon, I.-C. Baek, C.-M. Bae, T.-H. Park, W.-S. You, T.G. Ha, H.Y. Jung, J.H. Noh, S.W. OH, and K.-J. Kim, “RaidEnv: Exploring new challenges in automated content balancing for boss raid games,” arXiv:2307.01676, [Link].
H.-C. Jeon, and K.-J. Kim, “Behavioral differences is the key of ad-hoc team cooperation in multiplayer games Hanabi,” arXiv:2303.06775, [Link].

2022

H.-T. Joo, S.-H. Lee, C.-M. Bae, and K.-J. Kim, “Learning to automatically spectate games for Esports using object detection mechanism,” Available at SSRN: https://ssrn.com/abstract=4173705 or http://dx.doi.org/10.2139/ssrn.4173705

Journal

2024

B.-H. Yoo and K.-J. Kim, “Finding Deceivers in Social Context with Large Language Models and How to Find Them: The Case of the Mafia Game,” Scientific Reports, Accepted.
J.Y. Moon, E.-H. Cho, Y.B. Jo, K.-J. Kim and E.-S. Song, “Investigating the Effect of Emotional Matching between Game and Background Music on Game Experience in a Valence-Arousal Space,” IEEE Trans. on Games, Accepted.[PDF]
Y.-H. Choi, S.-M. Oh, J.-W. Huh, H.-T. Joo, H.-S. Lee, W.-S. You, C.-M. Bae, J.-H. Choi, and K.-J. Kim, “Deep reinforcement learning extracts the optimal sepsis treatment policy from treatment records,” Communications Medicine, vol. 4, no. 245, Nov 2024 [PDF].
H.-C. Jeon, I.-C. Baek, C.-M. Bae, T.-H. Park, W.-S. You, T.-G. Ha, H.-Y. Jung, J.-H. Noh, S.-W. Oh, K.-J. Kim, “RaidEnv: Exploring new challenges in automated content balancing for Boss Raid games,” IEEE Trans. on Games, vol. 16, no. 3, , pp. 646-658, Sep 2024 [PDF][Github].
H.-Y. Jung, and K.-J. Kim, “Discrete Prompt Compression with Reinforcement Learning,” IEEE Access, vol. 12, pp. 72578-72587, May 2024 [PDF] [Github]
W. Kim, M.W. Seong, K.J. Kim, and S.-J. Kim, “Engagnition: A Multi-Dimensional Dataset for Engagement Recognition of Children with Autism Spectrum Disorder,” Scientific Data, March 2024 [PDF].
B.-H. Yoo, and K.-J. Kim, “Improving Paragraph Segmentation Using BERT with Additional Information from Probability Density Function Modelling of Segmentation Distances,” Natural Language Processing Journal, March 2024 [PDF].
I. Han, and K.-J. Kim, “Deep Ensemble Learning of Tactics to Control the Main Force in a Real-Time Strategy Game,” Multimedia Tools and Applications, Jan 2024 [Preprint][SharedIt][Link to Journal].

2023

I. Han, S.W. Oh, H.Y. Jung, I.S. Chung, and K.-J. Kim, “Monte Carlo and Temporal Difference Methods in Reinforcement Learning,” IEEE Computational Intelligence Magazine, Nov 2023 [PDF][Immersive Article@IEEE][Immersive Article@Author’s Github].
B.-H. Yoo, T.-G. Ha, T.-H. Park, I.-C. Baek, and K.-J. Kim, “Automatic building of large game maps from small concept maps using wave function collapse algorithm,” KIISE Trans. on Computing Practices, vol. 29, no. 6, pp. 275-281, June 2023 [PDF].
Y.-H. Choi, D.-H. Park, S.-H. Lee, I. Han, E. Akan, H.-C. Jeon, Y. Luo, S.-J. Kim, W. Matusik, D. Rus and K.-J. Kim, “Seamless-walk: Natural and Comfortable Virtual Reality Locomotion Method with a High-resolution Tactile Sensor,” Virtual Reality, vol. 27, no. 2, pp. 1431-1445, June 2023. [SharedIt][Link to Journal][Youtube].
H.-S. Lee, Y.-H. Choi, A. Eizad, W.-K. Song, K.-J. Kim, and J.-W. Yoon,”A Machine Learning-Based Initial Difficulty
Level Adjustment Method for Balance Exercise on a Trunk Rehabilitation Robot,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 1857-1866, March 2023 [PDF].
H.-T. Joo, S.-H. Lee, C.-M. Bae, and K.-J. Kim, “Learning to Automatically Spectate Games for Esports Using Object Detection Mechanism,” Expert Systems with Applications, March 2023 [Preprint][PDF][Link to Journal][Code] [Youtube].

2022

J.Y. Moon, Y.J. Choi, T.-H. Park, J.D. Choi, J.-H. Hong, and K.-J. Kim, “Diversifying Dynamic Difficulty Adjustment Agent by Integrating Player State Models into Monte-Carlo Tree Search,” Expert Systems with Applications, Nov 2022 [PDF][Link to Journal].
H.-T. Joo, I.-C. Baek, and K.-J. Kim, “A Swapping Target Q-Value Technique for Data Augmentation in Offline Reinforcement Learning,” IEEE Access, May 2022. [PDF][Github]

2021

I. Han, D.-H. Park, and K.-J. Kim, “A New Open-Source Off-road Environment for Benchmark Generalization of Autonomous Driving,” IEEE Access, Sep 2021. [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 [SharedIt].
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].

2019

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].
J.-H. Jeon, S.-I. Yang, and K.-J. Kim, “Extraction of cognitive psychological features of mobile gamers and improvement of purchases prediction performance,” Journal of KIISE, vol. 46, no. 9, pp. 892-900, 2019 [PDF].

2018

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].
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,” Journal of KIISE, 2018 [PDF].

2017

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.

2016

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.

2015

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.
H.-S. Park, H.-T. Kim, and K.-J. Kim, “GreedyUCB1 based Monte-Carlo Tree Search for General Video Game Playing Artificial Intelligence,” KIISE Transactions on Computing Practices, vol. 21, no. 8, pp. 572-577, Aug 2015 PDF.

2014

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.

2013

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
H.-S. Park, and K.-J. Kim, “Recent Research Trends in Game Artificial Intelligence,” Communications of the Korean Institute of Information Scientists and Engineers, July 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.

K.-H. Oh, K.-J. Kim, and S.-B. Cho, “Generating a Variety of Robot Behavior Patterns using Speciation based on Phenotype,” Journal of KIISE, 2011 PDF.

H.-S. Park and K.-J. Kim, “Automated synthesis of physically implementable analog circuits using evolutionary strategy and practical constraints on component values,” Journal of KIISE: Software and Applications, vol. 38, no. 5, pp. 248-256, 2011 PDF.
K.-J. Kim and S.-B. Cho, “Game competition and machine learning,” Communications of the Korean Institute of Information Scientists and Engineers, Feb 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, 2010 PDF.
Y. S. Lee, K.-S. Hwang, K.-J. Kim and S.-B. Cho, “A life browser based on probabilistic and semantic networks for visualization and retrieval of everyday life,”Journal of KIISE: Computing Practices and Letters, vol. 16, no. 3, pp. 289-300, 2010. PDF

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.
J.-O. Yoo, K.-J. Kim and S.-B. Cho, “Construction of robust Bayesian network ensemble using speciated evolutionary algorithm,” Journal of Korea Information Science Society, vol. 31, no. 12, pp. 1569-1580, 2004. PDF
K.-J. Kim and S.-B. Cho, “Web mining using fuzzy integration of multiple structure adaptive self-organizing maps,” Journal of Korea Information Science Society, vol. 31, no. 1, pp. 61-70, Jan 2004 PDF.

2003

K.-J. Kim and S.-B. Cho, “Development of user modeling technique using informal inference based on neural network,” Journal of Korea Brain Society, vol. 3, no. 1, pp. 83-84, 2003. PDF

2002

K.-J. Kim and S.-B. Cho, “Dynamic selection of neural network modules based on cellular automata for complex behaviors,” Journal of the Korean Institute of Electrical Engineers, vol. 51, no. 4, pp. 160-166, April 2002. PDF

K.-J. Kim and S.-B. Cho, “Performance improvement of ensemble speciated neural networks using Kullback-Leibler entropy,” Journal of the Korean Institute of Electrical Engineers, vol. 51, no. 4, pp. 152-159, April 2002.PDF

K.-J. Kim, G.-B. Song, and S.-B. Cho, “A rule-based integration of neural network modules based on cellular automata for sensory-motor controller,” Journal of Fuzzy and Intelligent Systems, vol. 12, no.1, pp. 19-26, 2002. PDF

2001

K.-J. Kim, and S.-B. Cho, “Development of a personalized link-based search engine using fuzzy concept network,” Journal of Korea Information Science Society: Practice of Computing, vol. 7, no. 3, pp. 211-219, 2001. PDF

Conference

2024

2023

S.-H. Lee, H.-T. Joo, I.S. Chung, D.-H. Park, Y.-H. Choi and K.-J. Kim, “A Novel Approach for Virtual Locomotion Gesture Classification: Self-Teaching Vision Transformer for a Carpet-Type Tactile Sensor,” IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2023 [PDF].
W.-J. Chung, H.-T. Joo, S.-H. Lee, I.S. Chung, and K.-J. Kim, “Combining Stable Diffusion and Object Detection for Enhancing Small-Size Face Transformation in Video,” Korea Software Congress, 2023 [PDF][Youtube].
C.-M. Bae, and K.-J. Kim, “Procedural content generation with genetic algorithm for character abilities in games,” Korea Software Congress, 2023 [PDF].
M.-S. Seo, S.-J. Shin, K.-J. Kim, and K.-H. Choi, “Reinforcement learning-based collision avoidance of a connected and automated vehicle at merging roads,” International Workshop on Intelligent Systems (IWIS), 2023 [PDF]
E.-H. Kim, T.-H. Park, J.-Y. Moon, W.-S. You, T.-G. Ha, and K.-J. Kim, “DAncing body, Speaking Hands (DASH): Sign Dance Generation System with Deep Neural Networks,” ACM SIGGRAPH Posters, 2023 [PDF][Poster].
H.-T. Joo, S.-H. Lee, and K.-J. Kim, “Improving Korean Conversational Skills of LLaMA, a Public Large Language Model, using Human and ChatGPT Conversations,” Korea Congress on Computers, 2023 [PDF][Github][Huggingface].
I.-S. Chung, Isaac Han, and K.-J. Kim, “Imitation Learning using the Forward-Forward Algorithm,” International Conference on Learning Representations (ICLR) Tiny Paper Track, 2023 [PDF].

2022

J.-H. Noh, I.-C. Baek, S.-W. Oh, J.-Y. Moon, S.-M. Oh, K.-J. Kim, “Game Object Characteristic-based State Representation Method for Playtesting Match-3 Game,” Korea Software Congress, 2022 [PDF].
H.-S. Lee, A. Eizad, J.-Y. Lee, Y.-H. Choi, W.-K. Song, K.-J. Kim, J.-W. Yoon, “Comparing the Effects of Admittance and Error-based Control of a Trunk Rehabilitation Robot on the User’s Balance,” International Conference on Control, Automation, and Systems (ICCAS), 2022 [PDF].
I.-C. Baek, T.-H. Park, T.-G. Ha, and K.-J. Kim, “Turing Test Framework for Cooperative Games,” IEEE Conference on Games, 2022 [PDF] [Github].
H.-C. Jeon, S.-M. Oh, W.-S. You, H.Y. Jung, and K.-J. Kim, “Inferring Relationship using Theory of Mind in Press Diplomacy,“ ICML 2022 Workshop AI for Agent-Based Modeling, 2022[PDF].
B.-H. Yoo, T.-G. Ha, T.-H. Park, I.-C. Baek, and K.-J. Kim, “Automatic Building of Large Game Maps from Designer-Made Small Inputs using Wave Function Collapse Algorithm,“ Korea Computer Congress, 2022[PDF].
I.-C. Baek, T.-G. Ha, T.-H. Park, and K.-J. Kim, “Toward Cooperative Level Generation in Multiplayer Game: A User Study in Overcooked,” IEEE Conference on Games, 2022[PDF] [Github].
Y. Choi, H. Jeon, S. Lee, I. Han, Y. Luo, S.-J. Kim, W. Matusik, and K.-J. Kim, “Seamless-walk: Novel natural virtual reality locomotion method with a high-resolution tactile sensor,” IEEE Conference on Virtual Reality and 3D User Interfaces (Poster), 2022 [PDF] [Youtube].
Ok, S., Seong, M., Kim, W., Jeon, H., Lee, J., Kim, K., Kim, S. “Deep Learning-Based Engagement Classification by Behavioral and Physiological Data of Children with Developmental Disability,” HCI Korea 2022 [PDF].

2021

S. Farooq, A. Aziz, H. Mukhtar, M Fiaz, K. Y. Baek, N. Choi, S. B. Yun, K.-J. Kim and S.K. Jung, “Multi-Modality based Affective Video Summarization for Game Players,” The 27th International Workshop on Frontiers of Computer Vision (IW-FCV), 2021 [PDF].
H. Park, I.-S. Han, I.-C. Baek, and K.-J. Kim, “3D Physics-based Maze Game Environment for Generalization of Deep Reinforcement Learning,” KSC 2021 [PDF].
I.-C. Baek, T.-G. Ha, and K.-J. Kim, “An Evolutionary Approach for Procedural Content Generation in Cooperative Game Overcooked,” KSC 2021 [PDF].
T.-H. Park, W.-S. Yoo, H.-C. Jeon, and K.-J. Kim, “Generating diverse emotional haptic patterns for music using monte carlo tree search,” KSC 2021 [PDF].

2020

S. Farooq, M. Fiaz, K.J. Kim, and S.K. Jung, “Experience modeling for candy crush game player using physiological data by means of homogenous transfer learning,” The International Workshop on Intelligent Systems, 2020 [PDF].
H.-T. Joo, and K.-J. Kim, “Determining the Possibility of Transfer Learning in Deep Reinforcement Learning using GRAD-CAM,” The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) (Student Abstract), 2020 [PDF].
C.M.Bae, H.-T. Joo and K.-J. Kim, “Visual analysis of feature-based decision-making model with deep reinforcement learning,” KSC 2020 [PDF].
J.Y. Moon, H.-C. Jeon, and K.-J. Kim, “Embedded reinforcement learning for offroad self-driving,” KSC 2020 [PDF].
S.-H. Lee, and K.-J. Kim, “Training self-driving vehicles using offline reinforcement learning with real driving data,” KSC 2020 [PDF].

2019

I.-C. Baek, and K.-J. Kim, “Efficient Multi-Agent Reinforcement Learning for Many Agents,” The 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’19) Workshop on Artificial Intelligence for Strategy Games, 2019 [PDF].
H.-T. Joo, and K.-J. Kim, “Visualization of Deep Reinforcement Learning using Grad-CAM: How AI Plays Atari Games?,” IEEE Conference on Games, 2019 [PDF], [Youtube].
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 [PDF].
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 [PDF].
D.-H. Park, and K.-J. Kim, “Hierarchical Imitation Learning for Driving Off Road in Simulated Environment,” Korea Software Congress, Winter 2019 [PDF].
E.-J. Jeong, and K.-J. Kim, “Behavior Cloning of StarCraft II Mini Games using CNN Architecture,” Korea Software Congress, Winter 2019 [PDF].
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 [PDF].
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 [PDF].
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 [PDF].

2018

I.-C. Baek and K.-J. Kim, “Web-based Interface for Data Labeling in StarCraft,” IEEE Conference on Computational Intelligence and Games, 2018 PDF.
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 PDF.
W.-I. Shim, and K.-J. Kim, “Multitask Reinforcement Learning for Starcraft II Mini Games,” Korea Software Congress, 2018 PDF.
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 PDF.
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 PDF.
S.-H. Yoon, S.-J. Lee, and K.-J. Kim, “League of Legends Game Video Highlight Extraction using Autoencoder,” Korea Software Congress, 2018 PDF.
B.-J. Min, and K.-J. Kim, “Memory-based Imitation learning using Human-play data,” Korea Software Congress, 2018 PDF.
S.-H. Lee, and K.-J. Kim, “Imitation Learning of ‘Space Invaders’ using Human Play Data,” Korea Software Congress, 2018 PDF.
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 PDF.

2017

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.

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

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 PDF.

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

2015

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

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

2014

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 2014 PDF.

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, 2014 PDF.

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, 2014 PDF.

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

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

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, 2013 PDF.

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, 2013 PDF.

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, 2013 PDF.

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.
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

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.
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

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
H.-S. Park, and K.-J. Kim, “Genetic Programming using Bytecode-Level Evolution for Python Programming Language,” KIISE Fall Conference, 2011 PDF.
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 PDF.
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.-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.-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

2009

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

2008

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

2007

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
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

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

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 PDF.

2005

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, “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 PDF.

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

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

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 PDF.

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 PDF.

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, “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, “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 PDF.

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 PDF.

2002

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

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 PDF.

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 PDF.

2001

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, “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 PDF.

2000

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

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

Patent

Pending

Y.-H. Choi, E.-H. Kim, J.-H. Noh, K.-J. Kim, “Motion Feedback Method and System using Normalized Data,” April 2024 (U.S. Patent Pending).
S.-J. Kim, J.-S. Oh, K.-J. Kim, G.-B. Kim, S.-J. Kim, E.-S. Ahn, “Game scene creation program based on emotional information stored in recording media,” Dec 2023 (PCT)
H.-T. Joo, S.-H. Lee, C.-M. Bae, K.-J. Kim, “Learning system and method for automatic observing service,” Nov 2023 (U.S. Patent Pending).
Y.-H. Choi, K.-J. Kim, Ecehan A., D.-H. Park, S.-H. Lee, H.-C. Jeon, I. Han, “Method and device for estimating locomotion in virtual reality,” Aug 2023 (U.S. Patent Pending).
Y.-H. Choi, E.-H. Kim, J.-H. Noh, K.-J. Kim, “Motion Feedback Method and System using Normalized Data,” May 2023 (Pending).
H.-T. Joo, S.-H. Lee, C.-M. Bae, K.-J. Kim, “Learning system and method for automatic observing service,” Dec 2022 (Pending).
Y.-H. Choi, K.-J. Kim, Ecehan A., D.-H. Park, S.-H. Lee, H.-C. Jeon, I. Han, “Method and device for estimating locomotion in virtual reality,” Aug 2022 (Pending).

2024

K.-J. Kim, J. -Y. Moon, T.-H. Park, Y.-J. Choi, J.-D. Choi, and J.-H. Hong, “Apparatus and method for adjusting game difficulty based on user satisfaction,” Nov 2024 (Registered).

2023

K.-H. Kim, K.-J. Kim, D.-H. Park, T.-H. Park, I.-C. Baek, and W. S. You, “Apparatus and method for transforming style of sketch image,” Sep 2023 (Registered).

2019

J.-H. Jeon, D.-M. Yoon, S.-M. Choi, and K.-J. Kim, “Apparatus and method for generating procedural content,” April 2019 (Registered).

2018

B.-J. Min, S.-M. Choi, and K.-J. Kim, “Apparatus and method for controlling personalized and automatic play of game,” Nov 2018 (Registered).

2016

J.-C. Na, K.-J. Kim, E.-K. Kim, C.-M. Bae, and J.-C. Lee, “Method for generating mazes, and device implementing this method,” Oct 2016 (Registered).
D.-M. Yoon, and K.-J. Kim, “Method and Apparatus for identifying eyeball position, Method and Apparatus for tracking eyeball position,” July 2016 (Registered)
H.-T. Kim, and K.-J. Kim, “Recommendation system and method for video interesting section,” April 2016 (Registered).
H.-C. Cho, I.-S. Oh and K.-J. Kim, “System and method for generating artificial intelligence of game character based on imitation of game play data,” March 2016 (Registered).

2015

H.-T. Kim and K.-J. Kim, “Device and method for extracting video using realization of facial expression,” Nov 2015 (Registered).
D.-M. Yoon, and K.-J. Kim, “Device and method for recording dramatic video based on user’s emotion,” June 2015 (Registered).

2014

D.-M. Yoon, and K.-J. Kim, “Joint robot arm based on a spherical coordinate and control method of the same,” Nov 2014 (Registered).
D.-M. Yoon, and K.-J. Kim, “Method for detecting sensor trouble of mobile device,” Jan 2014 (Registered).