Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDKyung-Joong Kim
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j48]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)- [j47]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) - [j46]Min Jang, Hongsil Jeong, Seho Myung, Kyung-Joong Kim, Jeongho Park, Sang-Hyo Kim:
Analysis and Design of QC-LDPC Coded BICM Ensembles Based on RCA Density Evolution. IEEE Trans. Commun. 70(4): 2183-2199 (2022) - [c69]Min Jang, Kyeongyeon Kim, Seho Myung, Hongsil Jeong, Kyung-Joong Kim, Sang-Hyo Kim:
A Design of Layered Decoding for QC-LDPC Codes Based on Reciprocal Channel Approximation. ISIT 2022: 554-559 - [c68]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
- [j45]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) - [j44]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) - [c67]Seok-Ki Ahn, Kyung-Joong Kim, Sung-Ik Park:
Improved Repetition Transmission for NR-MBS. BMSB 2021: 1-4 - 2020
- [c66]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
- [j43]Seok-Ki Ahn, Kyung-Joong Kim, Seho Myung, Sung-Ik Park, Kyeongcheol Yang:
Comparison of Low-Density Parity-Check Codes in ATSC 3.0 and 5G Standards. IEEE Trans. Broadcast. 65(3): 489-495 (2019) - [j42]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) - [j41]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) - [j40]Min Jang, Seok-Ki Ahn, Hongsil Jeong, Kyung-Joong Kim, Seho Myung, Sang-Hyo Kim, Kyeongcheol Yang:
Rate Matching for Polar Codes Based on Binary Domination. IEEE Trans. Commun. 67(10): 6668-6681 (2019) - [c65]Ho-Taek Joo, Kyung-Joong Kim:
Visualization of Deep Reinforcement Learning using Grad-CAM: How AI Plays Atari Games? CoG 2019: 1-2 - [c64]Min Jang, Seok-Ki Ahn, Hongsil Jeong, Kyung-Joong Kim, Seho Myung, Sang-Hyo Kim, Kyeongcheol Yang:
Puncturing and Shortening for Polar Codes via the Partial Order by Binary Domination. ISIT 2019: 1767-1771 - [r1]Sehar Shahzad Farooq, Kyung-Joong Kim:
Game Player Modeling. Encyclopedia of Computer Graphics and Games 2019 - [i2]Min Jang, Seok-Ki Ahn, Hongsil Jeong, Kyung-Joong Kim, Seho Myung, Sang-Hyo Kim, Kyeongcheol Yang:
Rate matching for polar codes based on binary domination. CoRR abs/1901.02287 (2019) - 2018
- [j39]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) - [c63]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
- [j38]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) - [j37]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) - [j36]Seho Myung, Kyung-Joong Kim, Jin Lee, Young-Ho Oh, Seok-Ki Ahn:
Efficient Decoding of LDM Core Layer at Fixed Receivers in ATSC 3.0. IEEE Trans. Broadcast. 63(4): 727-733 (2017) - [j35]Seho Myung, Sung Ik Park, Kyung-Joong Kim, Jae-Young Lee, Sunhyoung Kwon, Jeongchang Kim:
Offset and Normalized Min-Sum Algorithms for ATSC 3.0 LDPC Decoder. IEEE Trans. Broadcast. 63(4): 734-739 (2017) - [c62]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 - [c61]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 - [c60]Man-Je Kim, Kyung-Joong Kim:
Opponent modeling based on action table for MCTS-based fighting game AI. CIG 2017: 178-180 - [c59]Byeong-Jun Min, Kyung-Joong Kim:
Learning to play visual doom using model-free episodic control. CIG 2017: 223-225 - [c58]Seonghun Yoon, Kyung-Joong Kim:
Deep Q networks for visual fighting game AI. CIG 2017: 306-308 - [c57]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
- [j34]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) - [j33]Sehar Shahzad Farooq, In-Suk Oh, Man-Jae Kim, Kyung-Joong Kim:
StarCraft AI Competition Report. AI Mag. 37(2): 102-107 (2016) - [j32]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) - [j31]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) - [j30]Hyun-Soo Park, Kyung-Joong Kim:
Active Player Modeling in the Iterated Prisoner's Dilemma. Comput. Intell. Neurosci. 2016: 7420984:1-7420984:13 (2016) - [j29]Kyung-Joong Kim, Seho Myung, Sung Ik Park, Jae-Young Lee, Makiko Kan, Yuji Shinohara, Jong-Woong Shin, Jinwoo Kim:
Low-Density Parity-Check Codes for ATSC 3.0. IEEE Trans. Broadcast. 62(1): 189-196 (2016) - [j28]Hongsil Jeong, Kyung-Joong Kim, Seho Myung, Jong-Woong Shin, Jinwoo Kim, Sung Ik Park, Sunhyoung Kwon, Yijun Shi, Sang-Hyo Kim:
Flexible and Robust Transmission for Physical Layer Signaling of ATSC 3.0. IEEE Trans. Broadcast. 62(1): 204-215 (2016) - [c56]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 - [c55]Hyun-Soo Park, Kyung-Joong Kim:
Deep Q-learning using redundant outputs in visual doom. CIG 2016: 1-2 - [c54]Byungho Yoo, Kyung-Joong Kim:
Changing video game graphic styles using neural algorithms. CIG 2016: 1-2 - 2015
- [j27]Du-Mim Yoon, Kyung-Joong Kim:
Challenges and Opportunities in Game Artificial Intelligence Education Using Angry Birds. IEEE Access 3: 793-804 (2015) - [j26]Kyung-Joong Kim, Sung-Bae Cho:
Inference of other's internal neural models from active observation. Biosyst. 128: 37-47 (2015) - [j25]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) - [c53]Kyung-Joong Kim, Seho Myung, Hongsil Jeong:
Lowering error floors by removing dominant trapping sets of low-density parity-check codes for broadcasting systems. BMSB 2015: 1-3 - [c52]Seho Myung, Kyung-Joong Kim, Hyunjae Lee, Sang-Hyo Kim:
Efficient modulation and coding scheme based on low-density parity-check codes. BMSB 2015: 1-3 - [c51]Hyun-Soo Park, Kyung-Joong Kim:
MCTS with influence map for general video game playing. CIG 2015: 534-535 - [c50]In-Seok Oh, Kyung-Joong Kim:
Testing reliability of replay-based imitation for StarCraft. CIG 2015: 536-537 - [c49]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 - [c48]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 - [c47]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
- [c46]Hyun-Tae Kim, Kyung-Joong Kim:
Learning to recommend game contents for real-time strategy gamers. CIG 2014: 1-8 - [c45]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 - [c44]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 - [c43]Hyun-Soo Park, Kyung-Joong Kim:
Learning to play fighting game using massive play data. CIG 2014: 1-2 - [c42]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
- [j24]Kyung-Joong Kim, Ronald Cools:
Extended exponentially fitted interpolation formulas for oscillatory functions. Appl. Math. Comput. 224: 178-195 (2013) - [j23]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) - [j22]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) - [j21]Kyung-Joong Kim, Jin-Ho Chung, Kyeongcheol Yang:
Bounds on the Size of Parity-Check Matrices for Quasi-Cyclic Low-Density Parity-Check Codes. IEEE Trans. Inf. Theory 59(11): 7288-7298 (2013) - [c41]Ho-Chul Cho, Kyung-Joong Kim:
Comparison of human and AI bots in StarCraft with replay data mining. CIG 2013: 1-2 - [c40]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 - [c39]Hyun-Soo Park, Kyung-Joong Kim:
Opponent modeling with incremental active learning: A case study of Iterative Prisoner's Dilemma. CIG 2013: 1-2 - [c38]Kyung-Joong Kim, Jin-Ho Chung, Kyeongcheol Yang:
Necessary conditions for quasi-cyclic LDPC codes to have a given girth. ISIT 2013: 2661-2665 - [c37]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 - [c36]Sehar Shahzad Farooq, Kyung-Joong Kim:
Evolution of Neural Controllers for Simulated and Real Quadruped Robots. RVSP 2013: 295-298 - 2012
- [j20]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) - [j19]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) - [j18]Kyung-Joong Kim, Jin-Ho Chung, Kyeongcheol Yang:
Design of Length-Compatible Low-Density Parity-Check Codes. IEEE Commun. Lett. 16(5): 734-737 (2012) - [j17]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) - [c35]Kyung-Joong Kim, Jin-Ho Chung, Kyeongcheol Yang:
Necessary conditions for avoiding cycles of length 4 or 6 in regular quasi-cyclic LDPC codes. APCC 2012: 585-590 - [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
- [j16]Kyung-Joong Kim:
Error analysis for frequency-dependent interpolation formulas using first derivatives. Appl. Math. Comput. 217(19): 7703-7717 (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]