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ORCIDKyung-Joong Kim 0001
Person information
- affiliation: Gwangju Institute of Science and Technology, South Korea
- affiliation: Sejong University, Seoul, South Korea
- affiliation (former): Cornell University, Department of Mechanical and Aerospace Engineering, Ithaca, NY, USA
- affiliation (PhD 2007): Yonsei University, Seoul, South Korea
Other persons with the same name
- Kyung-Joong Kim 0002 — Samsung Electronics, Suwon, South Korea (and 1 more)
- Kyung-Joong Kim 0003 — Korea Aerospace University, School of Liberal Arts and Sciences, Goyang, South Korea
- Kyung-Joong Kim 0004 — National University of Computer and Emerging Sciences, Lahore, Pakistan
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2020 – today
- 2024
[j44]Hoyoun Jung
, Kyung-Joong Kim:
Discrete Prompt Compression With Reinforcement Learning. IEEE Access 12: 72578-72587 (2024)- [j43]Isaac Han, Kyung-Joong Kim:
Deep ensemble learning of tactics to control the main force in a real-time strategy game. Multim. Tools Appl. 83(4): 12059-12087 (2024) - [j42]Byunghwa Yoo, Kyung-Joong Kim:
Improving paragraph segmentation using BERT with additional information from probability density function modeling of segmentation distances. Nat. Lang. Process. J. 6: 100061 (2024) - [j41]Hyeonchang Jeon, In-Chang Baek, Cheong-mok Bae, TaeHwa Park, Wonsang You, Taegwan Ha, Hoyoun Jung, Jinha Noh, Seungwon Oh, Kyung-Joong Kim:
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games. IEEE Trans. Games 16(3): 645-658 (2024) - [c72]In-Chang Baek, TaeHwa Park, Jinha Noh, Cheong-mok Bae, Kyung-Joong Kim:
ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generation. CoG 2024: 1-4 - [c71]Seungwon Oh, Insik Chung, Kyung-Joong Kim:
LangBirds: An Agent for Angry Birds using a Large Language Model. CoG 2024: 1-8 - [c70]Jaehyeon Baik, Sejun Park, Yunho Choi, Kyung-Joong Kim, Hosu Lee:
The Measurement Algorithm of the Center of Pressure Based on the Tactile Sensor. IWIS 2024: 1-4 - [c69]Sung-Ha Lee, Ho-Taek Joo, Insik Chung, Donghyeok Park, Yunho Choi, Kyung-Joong Kim:
A Novel Approach for Virtual Locomotion Gesture Classification: Self-Teaching Vision Transformer for a Carpet-Type Tactile Sensor. VR 2024: 461-471 - [i5]In-Chang Baek, TaeHwa Park, Jinha Noh, Cheong-mok Bae, Kyung-Joong Kim:
ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generation. CoRR abs/2406.11875 (2024) - 2023
- [j40]Isaac Han, Seungwon Oh, Hoyoun Jung, Insik Chung, Kyung-Joong Kim:
Monte Carlo and Temporal Difference Methods in Reinforcement Learning [AI-eXplained]. IEEE Comput. Intell. Mag. 18(4): 64-65 (2023) - [j39]Ho-Taek Joo, Sung-Ha Lee, Cheong-mok Bae, Kyung-Joong Kim:
Learning to automatically spectate games for Esports using object detection mechanism. Expert Syst. Appl. 213(Part): 118979 (2023) - [j38]Yunho Choi, Dong-hyeon Park, Sungha Lee, Isaac Han, Ecehan Akan, Hyeonchang Jeon, Yiyue Luo, SeungJun Kim, Wojciech Matusik, Daniela Rus, Kyung-Joong Kim:
Seamless-walk: natural and comfortable virtual reality locomotion method with a high-resolution tactile sensor. Virtual Real. 27(2): 1431-1445 (2023) - [c68]Insik Chung, Isaac Han, Kyung-Joong Kim:
IMITATION LEARNING USING THE FORWARD-FORWARD ALGORITHM. Tiny Papers @ ICLR 2023 - [c67]Sung-Ha Lee, Ho-Taek Joo, Insik Chung, Donghyeok Park, Yunho Choi, Kyung-Joong Kim:
A Novel Approach for Virtual Locomotion Gesture Classification: Self-Teaching Vision Transformer for a Carpet-Type Tactile Sensor. ISMAR-Adjunct 2023: 369-370 - [c66]Minseok Seo, Seongjae Shin, Kyung-Joong Kim, Kyunghwan Choi:
Reinforcement Learning-Based Collision Avoidance of a Connected and Automated Vehicle at Merging Roads. IWIS 2023: 1-5 - [c65]Eunhee Kim, TaeHwa Park, JaeYoung Moon, Wonsang You, Taegwan Ha, Kyung-Joong Kim:
DAncing body, Speaking Hands (DASH): Sign Dance Generation System with Deep Learning. SIGGRAPH Posters 2023: 28:1-28:2 - [i4]Hyeonchang Jeon, Kyung-Joong Kim:
Behavioral Differences is the Key of Ad-hoc Team Cooperation in Multiplayer Games Hanabi. CoRR abs/2303.06775 (2023) - [i3]Hyeonchang Jeon, In-Chang Baek, Cheong-mok Bae, TaeHwa Park, Wonsang You, Taegwan Ha, Hoyun Jung, Jinha Noh, Seungwon Oh, Kyung-Joong Kim:
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games. CoRR abs/2307.01676 (2023) - [i2]Hoyoun Jung, Kyung-Joong Kim:
Discrete Prompt Compression with Reinforcement Learning. CoRR abs/2308.08758 (2023) - 2022
- [j37]Ho-Taek Joo, In-Chang Baek, Kyung-Joong Kim:
A Swapping Target Q-Value Technique for Data Augmentation in Offline Reinforcement Learning. IEEE Access 10: 57369-57382 (2022) - [j36]JaeYoung Moon, Youjin Choi, TaeHwa Park, JunDoo Choi, Jin-Hyuk Hong, Kyung-Joong Kim:
Diversifying dynamic difficulty adjustment agent by integrating player state models into Monte-Carlo tree search. Expert Syst. Appl. 205: 117677 (2022) - [c64]In-Chang Baek, Taegwan Ha, TaeHwa Park, Kyung-Joong Kim:
Toward Cooperative Level Generation in Multiplayer Games: A User Study in Overcooked! CoG 2022: 276-283 - [c63]In-Chang Baek, TaeHwa Park, Taegwan Ha, Kyung-Joong Kim:
Turing Test Framework for Cooperative Games. CoG 2022: 568-569 - [c62]Yunho Choi, Hyeonchang Jeon, Sungha Lee, Isaac Han, Yiyue Luo, SeungJun Kim, Wojciech Matusik, Kyung-Joong Kim:
Seamless-walk: Novel Natural Virtual Reality Locomotion Method with a High-Resolution Tactile Sensor. VR Workshops 2022: 696-697 - 2021
- [j35]Isaac Han, Dong-hyeon Park, Kyung-Joong Kim:
A New Open-Source Off-Road Environment for Benchmark Generalization of Autonomous Driving. IEEE Access 9: 136071-136082 (2021) - [j34]Kyung-Joong Kim, Sung-Bae Cho:
Inference of Other's Minds with Limited Information in Evolutionary Robotics. Int. J. Soc. Robotics 13(4): 661-676 (2021) - 2020
- [c61]Ho-Taek Joo, Kyung-Joong Kim:
Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract). AAAI 2020: 13831-13832
2010 – 2019
- 2019
- [j33]EunJo Lee, Yoonjae Jang, DuMim Yoon, JiHoon Jeon, Seong-Il Yang, Sang-Kwang Lee, Dae-Wook Kim, Pei Pei Chen, Anna Guitart, Paul Bertens, África Periáñez, Fabian Hadiji, Marc Müller, Youngjun Joo, Jiyeon Lee, Inchon Hwang, Kyung-Joong Kim:
Game Data Mining Competition on Churn Prediction and Survival Analysis Using Commercial Game Log Data. IEEE Trans. Games 11(3): 215-226 (2019) - [j32]Michal Certický, David Churchill, Kyung-Joong Kim, Martin Certický, Richard Kelly:
StarCraft AI Competitions, Bots, and Tournament Manager Software. IEEE Trans. Games 11(3): 227-237 (2019) - [c60]Ho-Taek Joo, Kyung-Joong Kim:
Visualization of Deep Reinforcement Learning using Grad-CAM: How AI Plays Atari Games? CoG 2019: 1-2 - [r1]Sehar Shahzad Farooq, Kyung-Joong Kim:
Game Player Modeling. Encyclopedia of Computer Graphics and Games 2019 - 2018
- [j31]Man-Je Kim, Kyung-Joong Kim, Seungjun Kim, Anind K. Dey:
Performance Evaluation Gaps in a Real-Time Strategy Game Between Human and Artificial Intelligence Players. IEEE Access 6: 13575-13586 (2018) - [c59]In-Chang Baek, Kyung-Joong Kim:
Web-Based Interface for Data Labeling in StarCraft. CIG 2018: 1-2 - [i1]Kyung-Joong Kim, DuMim Yoon, JiHoon Jeon, Seong-Il Yang, Sang-Kwang Lee, EunJo Lee, Yoonjae Jang, Dae-Wook Kim, Pei Pei Chen, Anna Guitart, Paul Bertens, África Periáñez, Fabian Hadiji, Marc Müller, Youngjun Joo, Jiyeon Lee, Inchon Hwang:
Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data. CoRR abs/1802.02301 (2018) - 2017
- [j30]In-Seok Oh, Ho-Chul Cho, Kyung-Joong Kim:
Playing real-time strategy games by imitating human players' micromanagement skills based on spatial analysis. Expert Syst. Appl. 71: 192-205 (2017) - [j29]Kyung-Joong Kim, Sung-Bae Cho:
Ensemble bayesian networks evolved with speciation for high-performance prediction in data mining. Soft Comput. 21(4): 1065-1080 (2017) - [c58]Kazuki Mori, Suguru Ito, Tomohiro Harada, Ruck Thawonmas, Kyung-Joong Kim:
Feature extraction of gameplays for similarity calculation in gameplay recommendation. IWCIA 2017: 171-176 - [c57]JiHoon Jeon, DuMim Yoon, Seong-Il Yang, Kyung-Joong Kim:
Extracting gamers' cognitive psychological features and improving performance of churn prediction from mobile games. CIG 2017: 150-153 - [c56]Man-Je Kim, Kyung-Joong Kim:
Opponent modeling based on action table for MCTS-based fighting game AI. CIG 2017: 178-180 - [c55]Byeong-Jun Min, Kyung-Joong Kim:
Learning to play visual doom using model-free episodic control. CIG 2017: 223-225 - [c54]Seonghun Yoon, Kyung-Joong Kim:
Deep Q networks for visual fighting game AI. CIG 2017: 306-308 - [c53]Jung-Hwan Park, Seong-Joon Yoo, Kyung-Joong Kim, Yeong Hyeon Gu, Keon-Hoon Lee, U.-Hyon Son:
PM10 density forecast model using long short term memory. ICUFN 2017: 576-581 - 2016
- [j28]Kyung-Joong Kim, Chang-Ho 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 4: 8199-8211 (2016) - [j27]Sehar Shahzad Farooq, In-Suk Oh, Man-Jae Kim, Kyung-Joong Kim:
StarCraft AI Competition Report. AI Mag. 37(2): 102-107 (2016) - [j26]Du-Mim Yoon, Kyung-Joong Kim:
3D Game Model and Texture Generation Using Interactive Genetic Algorithm. Comput. Entertain. 14(1): 1:1-1:16 (2016) - [j25]Ho-Chul Cho, Hyun-Soo Park, Chang-Yeun Kim, Kyung-Joong Kim:
Investigation of the Effect of "Fog of War" in the Prediction of StarCraft Strategy Using Machine Learning. Comput. Entertain. 14(1): 2:1-2:16 (2016) - [j24]Hyun-Soo Park, Kyung-Joong Kim:
Active Player Modeling in the Iterated Prisoner's Dilemma. Comput. Intell. Neurosci. 2016: 7420984:1-7420984:13 (2016) - [c52]Man-Je Kim, Kyung-Joong Kim, Seungjun Kim, Anind K. Dey:
Evaluation of StarCraft Artificial Intelligence Competition Bots by Experienced Human Players. CHI Extended Abstracts 2016: 1915-1921 - [c51]Hyun-Soo Park, Kyung-Joong Kim:
Deep Q-learning using redundant outputs in visual doom. CIG 2016: 1-2 - [c50]Byungho Yoo, Kyung-Joong Kim:
Changing video game graphic styles using neural algorithms. CIG 2016: 1-2 - 2015
- [j23]Du-Mim Yoon, Kyung-Joong Kim:
Challenges and Opportunities in Game Artificial Intelligence Education Using Angry Birds. IEEE Access 3: 793-804 (2015) - [j22]Kyung-Joong Kim, Sung-Bae Cho:
Inference of other's internal neural models from active observation. Biosyst. 128: 37-47 (2015) - [j21]Kyung-Joong Kim, Sung-Bae Cho:
Meta-classifiers for high-dimensional, small sample classification for gene expression analysis. Pattern Anal. Appl. 18(3): 553-569 (2015) - [c49]Hyun-Soo Park, Kyung-Joong Kim:
MCTS with influence map for general video game playing. CIG 2015: 534-535 - [c48]In-Seok Oh, Kyung-Joong Kim:
Testing reliability of replay-based imitation for StarCraft. CIG 2015: 536-537 - [c47]Cheong-mok Bae, Eun Kwang Kim, Jongchan Lee, Kyung-Joong Kim, Joong Chae Na:
Generation of an arbitrary shaped large maze by assembling mazes. CIG 2015: 538-539 - [c46]Du-Mim Yoon, Joo-Seon Lee, Hyun-Su Seon, Jeong-Hyeon Kim, Kyung-Joong Kim:
Optimization of Angry Birds AI controllers with distributed computing. CIG 2015: 544-545 - [c45]Sehar Shahzad Farooq, Jong-Woong Baek, Kyung-Joong Kim:
Interpreting behaviors of mobile game players from in-game data and context logs. CIG 2015: 548-549 - 2014
- [c44]Hyun-Tae Kim, Kyung-Joong Kim:
Learning to recommend game contents for real-time strategy gamers. CIG 2014: 1-8 - [c43]Hyun-Tae Kim, Du-Mim Yoon, Kyung-Joong Kim:
Solving Geometry Friends using Monte-Carlo Tree Search with directed graph representation. CIG 2014: 1-2 - [c42]In-Seok Oh, Ho-Chul Cho, Kyung-Joong Kim:
Imitation learning for combat system in RTS games with application to starcraft. CIG 2014: 1-2 - [c41]Hyun-Soo Park, Kyung-Joong Kim:
Learning to play fighting game using massive play data. CIG 2014: 1-2 - [c40]Hyun-Soo Park, Kyung-Joong Kim:
Social Network Analysis of High-Level Players in Multiplayer Online Battle Arena Game. SocInfo Workshops 2014: 223-226 - 2013
- [j20]Kyung-Joong Kim, Sung-Bae Cho:
Game AI Competitions: An Open Platform for Computational Intelligence Education [Educational Forum]. IEEE Comput. Intell. Mag. 8(3): 64-68 (2013) - [j19]Jung Guk Park, Kyung-Joong Kim:
Design of a visual perception model with edge-adaptive Gabor filter and support vector machine for traffic sign detection. Expert Syst. Appl. 40(9): 3679-3687 (2013) - [c39]Ho-Chul Cho, Kyung-Joong Kim:
Comparison of human and AI bots in StarCraft with replay data mining. CIG 2013: 1-2 - [c38]Ho-Chul Cho, Kyung-Joong Kim, Sung-Bae Cho:
Replay-based strategy prediction and build order adaptation for StarCraft AI bots. CIG 2013: 1-7 - [c37]Hyun-Soo Park, Kyung-Joong Kim:
Opponent modeling with incremental active learning: A case study of Iterative Prisoner's Dilemma. CIG 2013: 1-2 - [c36]Kyung-Joong Kim, Kang Yong Eo, Ye Ran Jung, Si On Kim, Sung-Bae Cho:
Evolutionary conditions for the emergence of robotic theory of mind with multiple goals. RiiSS 2013: 43-49 - [c35]Sehar Shahzad Farooq, Kyung-Joong Kim:
Evolution of Neural Controllers for Simulated and Real Quadruped Robots. RVSP 2013: 295-298 - 2012
- [j18]Kyung-Joong Kim, Sung-Bae Cho:
Automated synthesis of multiple analog circuits using evolutionary computation for redundancy-based fault-tolerance. Appl. Soft Comput. 12(4): 1309-1321 (2012) - [j17]Kyung-Joong Kim, Sung-Bae Cho:
2011 IEEE Conference on Computational Intelligence and Games [Conference Reports]. IEEE Comput. Intell. Mag. 7(1): 15-18 (2012) - [j16]Kyung-Joong Kim, Jun-Ho Seo, Jung Guk Park, Joong Chae Na:
Generalization of TORCS car racing controllers with artificial neural networks and linear regression analysis. Neurocomputing 88: 87-99 (2012) - [c34]Jung Guk Park, Kyung-Joong Kim:
A method for feature extraction of traffic sign detection and the system for real world scene. ESPA 2012: 13-16 - [c33]Du-Mim Yoon, Kyung-Joong Kim:
Comparison of scoring methods for interactive evolutionary computation based image retouching system. GECCO (Companion) 2012: 617-618 - [c32]Hyun-Soo Park, Kyung-Joong Kim:
Automatic python programming using stack-based genetic programming. GECCO (Companion) 2012: 641-642 - [c31]Hyun-Soo Park, Ho-Chul Cho, KwangYeol Lee, Kyung-Joong Kim:
Prediction of early stage opponents strategy for StarCraft AI using scouting and machine learning. WASA 2012: 7-12 - [c30]Du-Mim Yoon, Kyung-Joong Kim:
3D game model and texture generation using interactive genetic algorithm. WASA 2012: 53-58 - 2011
- [j15]Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary neural networks for practical applications. J. Intell. Fuzzy Syst. 22(2-3): 53-55 (2011) - [j14]Kyung-Joong Kim, Jung Guk Park, Sung-Bae Cho:
Correlation analysis and performance evaluation of distance measures for evolutionary neural networks. J. Intell. Fuzzy Syst. 22(2-3): 83-92 (2011) - 2010
- [j13]Kyung-Joong Kim, Adrian Wong, Hod Lipson:
Automated synthesis of resilient and tamper-evident analog circuits without a single point of failure. Genet. Program. Evolvable Mach. 11(1): 35-59 (2010) - [c29]Theodore W. Cornforth, Kyung-Joong Kim, Hod Lipson:
Evolution of Analog Circuit Models of Ion Channels. ICES 2010: 157-168 - [c28]Kyung-Joong Kim, Sung-Bae Cho:
Exploring Features and Classifiers to Classify MicroRNA Expression Profiles of Human Cancer. ICONIP (2) 2010: 234-241
2000 – 2009
- 2009
- [c27]Kyung-Joong Kim, Hod Lipson:
Towards a "theory of mind" in simulated robots. GECCO (Companion) 2009: 2071-2076 - [c26]Kyung-Joong Kim, Sung-Bae Cho:
Evaluation of Distance Measures for Speciated Evolutionary Neural Networks in Pattern Classification Problems. ICONIP (2) 2009: 630-637 - [c25]Kyung-Joong Kim, Sung-Bae Cho:
Combining Multiple Evolved Analog Circuits for Robust Evolvable Hardware. IDEAL 2009: 359-367 - [c24]Kyung-Joong Kim, Hod Lipson:
Towards a simple robotic theory of mind. PerMIS 2009: 131-138 - 2008
- [j12]Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary ensemble of diverse artificial neural networks using speciation. Neurocomputing 71(7-9): 1604-1618 (2008) - [j11]Kyung-Joong Kim, Sung-Bae Cho:
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis. IEEE Trans. Evol. Comput. 12(3): 377-388 (2008) - [c23]Kyung-Joong Kim, Sung-Bae Cho:
Ensemble approaches in evolutionary game strategies: A case study in Othello. CIG 2008: 212-219 - 2007
- [j10]Kyung-Joong Kim, Sung-Bae Cho:
Personalized mining of web documents using link structures and fuzzy concept networks. Appl. Soft Comput. 7(1): 398-410 (2007) - [j9]Kyung-Joong Kim, Myung-Chul Jung, Sung-Bae Cho:
KeyGraph-based chance discovery for mobile contents management system. Int. J. Knowl. Based Intell. Eng. Syst. 11(5): 313-320 (2007) - [j8]Sung-Bae Cho, Kyung-Joong Kim, Keum-Sung Hwang, In-Ji Song:
AniDiary: Daily Cartoon-Style Diary Exploits Bayesian Networks. IEEE Pervasive Comput. 6(3): 66-75 (2007) - [c22]Kyung-Joong Kim, Heejin Choi, Sung-Bae Cho:
Hybrid of Evolution and Reinforcement Learning for Othello Players. CIG 2007: 203-209 - [c21]Kyung-Joong Kim, Sung-Bae Cho:
Integrated Model for Informal Inference Based on Neural Networks. ICONIP (2) 2007: 950-959 - [c20]Kyung-Joong Kim, Sung-Bae Cho:
Diverse Evolutionary Neural Networks Based on Information Theory. ICONIP (2) 2007: 1007-1016 - [c19]Sung-Bae Cho, Kyung-Joong Kim, Keum-Sung Hwang:
Generating Cartoon-Style Summary of Daily Life with Multimedia Mobile Devices. IEA/AIE 2007: 135-144 - [c18]Kyung-Joong Kim, Myung-Chul Jung, Sung-Bae Cho:
Episodic Memory for Ubiquitous Multimedia Contents Management System. IEA/AIE 2007: 796-805 - [p2]Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary Algorithms for Board Game Players with Domain Knowledge. Advanced Intelligent Paradigms in Computer Games 2007: 71-89 - 2006
- [j7]Kyung-Joong Kim, Sung-Bae Cho:
A Comprehensive Overview of the Applications of Artificial Life. Artif. Life 12(1): 153-182 (2006) - [j6]Kyung-Joong Kim, Sung-Bae Cho:
A unified architecture for agent behaviors with selection of evolved neural network modules. Appl. Intell. 25(3): 253-268 (2006) - [j5]Kyung-Joong Kim, Sung-Bae Cho:
Evolved neural networks based on cellular automata for sensory-motor controller. Neurocomputing 69(16-18): 2193-2207 (2006) - [j4]Kyung-Joong Kim, Sung-Bae Cho:
Ensemble classifiers based on correlation analysis for DNA microarray classification. Neurocomputing 70(1-3): 187-199 (2006) - [c17]Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary Othello Players Boosted by Opening Knowledge. IEEE Congress on Evolutionary Computation 2006: 984-991 - [c16]Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary Aggregation and Refinement of Bayesian Networks. IEEE Congress on Evolutionary Computation 2006: 1513-1520 - [c15]Bo-Yoon Choi, Kyung-Joong Kim, Sung-Bae Cho:
The Embodiment of Autonomic Computing in the Middleware for Distributed System with Bayesian Networks. ICIC (1) 2006: 1047-1052 - [c14]Kyung-Joong Kim, Sung-Bae Cho:
Ensemble Evolution of Checkers Players with Knowledge of Opening, Middle and Endgame. PRICAI 2006: 950-954 - [p1]Kyung-Joong Kim, Sung-Bae Cho:
Uncertainty Reasoning and Chance Discovery. Chance Discoveries in Real World Decision Making 2006: 83-100 - 2005
- [j3]Kyung-Joong Kim, Sung-Bae Cho:
Systematically incorporating domain-specific knowledge into evolutionary speciated checkers players. IEEE Trans. Evol. Comput. 9(6): 615-627 (2005) - [c13]Kyung-Joong Kim, Ji-Oh Yoo, Sung-Bae Cho:
Robust Inference of Bayesian Networks Using Speciated Evolution and Ensemble. ISMIS 2005: 92-101 - [c12]Kyung-Joong Kim, Si-Ho Yoo, Sung-Bae Cho:
Bayesian Validation of Fuzzy Clustering for Analysis of Yeast Cell Cycle Data. KES (3) 2005: 777-784 - [c11]Kyung-Joong Kim, Sung-Bae Cho:
DNA Gene Expression Classification with Ensemble Classifiers Optimized by Speciated Genetic Algorithm. PReMI 2005: 649-653 - 2004
- [j2]Kyung-Joong Kim, Sung-Bae Cho:
Fuzzy integration of structure adaptive SOMs for web content mining. Fuzzy Sets Syst. 148(1): 43-60 (2004) - [j1]Kyung-Joong Kim, Sung-Bae Cho:
Prediction of colon cancer using an evolutionary neural network. Neurocomputing 61: 361-379 (2004) - [c10]Sang-Jun Han, Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary Learning Program's Behavior in Neural Networks for Anomaly Detection. ICONIP 2004: 236 - 2003
- [c9]Kyung-Joong Kim, Sung-Bae Cho:
BN+BN: Behavior Network with Bayesian Network for Intelligent Agent. Australian Conference on Artificial Intelligence 2003: 979-991 - [c8]Kyung-Joong Kim, Sung-Bae Cho:
Evolving artificial neural networks for DNA microarray analysis. IEEE Congress on Evolutionary Computation 2003: 2370-2377 - [c7]Kyung-Joong Kim, Sung-Bae Cho, Sang-Rok Oh:
Behavior selection architecture for tangible agent. CIRA 2003: 175-180 - [c6]Hyeun-Jeong Min, Kyung-Joong Kim, Sung-Bae Cho:
Generating optimal behaviors of mobile robot using behavior network with planning capability. CIRA 2003: 186-191 - 2002
- [c5]Kyung-Joong Kim, Sung-Bae Cho:
Evolving speciated checkers players with crowding algorithm. IEEE Congress on Evolutionary Computation 2002: 407-412 - [c4]Kyung-Joong Kim, Sung-Bae Cho:
Checkers Strategy Evolution with Speciated Neural Networks. PRICAI 2002: 599 - 2001
- [c3]Kyung-Joong Kim, Sung-Bae Cho:
Coordination of multiple behavior modules evolved on CAM-Brain. CEC 2001: 1414-1421 - [c2]Kyung-Joong Kim, Sung-Bae Cho:
Dynamic selection of evolved neural controllers for higher behaviors of mobile robot. CIRA 2001: 467-472 - [c1]Kyung-Joong Kim, Sung-Bae Cho:
Conceptual Information Extraction with Link-Based Search. Web Intelligence 2001: 367-372
Coauthor Index
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