Byoung-Tak Zhang

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99EEByoung-Tak Zhang: Cognitive learning and the multimodal memory game: Toward human-level machine learning. IJCNN 2008: 3261-3267
98EEJae-Hong Eom, Sung-Chun Kim, Byoung-Tak Zhang: AptaCDSS-E: A classifier ensemble-based clinical decision support system for cardiovascular disease level prediction. Expert Syst. Appl. 34(4): 2465-2479 (2008)
97EEChan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Cho, Byoung-Tak Zhang: Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm. BIBE 2007: 158-163
96EEJin-Wu Nam, In-Hee Lee, Kyu Baek Hwang, Seong-Bae Park, Byoung-Tak Zhang: Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms. EvoBIO 2007: 176-186
95EEByoung-Tak Zhang: Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency. FOCI 2007: 344-349
94EEJungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Tak Zhang: Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. GECCO (Companion) 2007: 2709-2716
93EEJoo-Kyung Kim, Byoung-Tak Zhang: Evolving hypernetworks for pattern classification. IEEE Congress on Evolutionary Computation 2007: 1856-1862
92EESun Kim, Soo-Jin Kim, Byoung-Tak Zhang: Evolving hypernetwork classifiers for microRNA expression profile analysis. IEEE Congress on Evolutionary Computation 2007: 313-319
91EEJe-Gun Joung, Kyu Baek Hwang, Jin-Wu Nam, Soo-Jin Kim, Byoung-Tak Zhang: Discovery of microRNA-mRNA modules via population-based probabilistic learning. Bioinformatics 23(9): 1141-1147 (2007)
90EEJoon Shik Kim, Jong Chan Kim, Jangmin O, Byoung-Tak Zhang: A Global Minimization Algorithm Based on a Geodesic of a Lagrangian Formulation of Newtonian Dynamics. Neural Processing Letters 26(2): 121-131 (2007)
89EEByoung-Tak Zhang, Joo-Kyung Kim: DNA Hypernetworks for Information Storage and Retrieval. DNA 2006: 298-307
88EEIn-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang: Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm. EMO 2006: 376-385
87EESoo-Yong Shin, In-Hee Lee, Byoung-Tak Zhang: Microarray Probe Design Using epsilon-Multi-Objective Evolutionary Algorithms with Thermodynamic Criteria. EvoWorkshops 2006: 184-195
86EEKee-Young Kim, Dong-Yeon Cho, Byoung-Tak Zhang: Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networks. EvoWorkshops 2006: 45-56
85EESun Kim, Byoung-Tak Zhang: Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines. EvoWorkshops 2006: 57-66
84EEKyu Baek Hwang, Byoung-Hee Kim, Byoung-Tak Zhang: Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis. ICONIP (1) 2006: 670-679
83EEJae-Hong Eom, Byoung-Tak Zhang: Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining. ICONIP (3) 2006: 30-39
82EEJae-Hong Eom, Byoung-Tak Zhang: Mining Protein Interaction from Biomedical Literature with Relation Kernel Method. ISNN (2) 2006: 642-647
81EEJae-Hong Eom, Sun Kim, Seong-Hwan Kim, Byoung-Tak Zhang: A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature. KDLL 2006: 42-52
80EEDong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang: Identification of biochemical networks by S-tree based genetic programming. Bioinformatics 22(13): 1631-1640 (2006)
79EEJe-Gun Joung, Dong-Ho Shin, Rho Hyun Seong, Byoung-Tak Zhang: Identification of regulatory modules by co-clustering latent variable models: stem cell differentiation. Bioinformatics 22(16): 2005-2011 (2006)
78EEJangmin O, Jongwoo Lee, Jae Won Lee, Byoung-Tak Zhang: Adaptive stock trading with dynamic asset allocation using reinforcement learning. Inf. Sci. 176(15): 2121-2147 (2006)
77EEJin-Wu Nam, Jinhan Kim, Sung-Kyu Kim, Byoung-Tak Zhang: ProMiR II: a web server for the probabilistic prediction of clustered, nonclustered, conserved and nonconserved microRNAs. Nucleic Acids Research 34(Web-Server-Issue): 455-458 (2006)
76 Sung-Kyu Kim, Jin-Wu Nam, Wha-Jin Lee, Byoung-Tak Zhang: A Kernel Method for MicroRNA Target Prediction Using Sensible Data and Position-Based Features. CIBCB 2005: 46-52
75EEByoung-Tak Zhang, Ha-Young Jang: Molecular Learning of wDNF Formulae. DNA 2005: 427-437
74EEByoung-Tak Zhang, Ha-Young Jang: Molecular programming: evolving genetic programs in a test tube. GECCO 2005: 1761-1768
73EEJae-Hong Eom, Byoung-Tak Zhang: Prediction of Yeast Protein-Protein Interactions by Neural Feature Association Rule. ICANN (2) 2005: 491-496
72EEJae-Hong Eom, Byoung-Tak Zhang: Extraction of Gene/Protein Interaction from Text Documents with Relation Kernel. KES (2) 2005: 936-942
71EESek Won Kong, Kyu Baek Hwang, Richard D. Kim, Byoung-Tak Zhang, Steven A. Greenberg, Isaac S. Kohane, Peter J. Park: CrossChip: a system supporting comparative analysis of different generations of Affymetrix arrays. Bioinformatics 21(9): 2116-2117 (2005)
70EESoo-Yong Shin, In-Hee Lee, Dongmin Kim, Byoung-Tak Zhang: Multiobjective evolutionary optimization of DNA sequences for reliable DNA computing. IEEE Trans. Evolutionary Computation 9(2): 143-158 (2005)
69EEKyu Baek Hwang, Byoung-Tak Zhang: Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(6): 1302-1310 (2005)
68EEJangmin O, Jongwoo Lee, Jae Won Lee, Byoung-Tak Zhang: Dynamic Asset Allocation for Stock Trading Optimized by Evolutionary Computation. IEICE Transactions 88-D(6): 1217-1223 (2005)
67EEJeong Ho Chang, Kyu Baek Hwang, Sok June Oh, Byoung-Tak Zhang: Bayesian Network Learning with Feature Abstraction for Gene-drug Dependency Analysis. J. Bioinformatics and Computational Biology 3(1): 61-78 (2005)
66EEJae-Hong Eom, Byoung-Tak Zhang: PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining. AIMSA 2004: 216-225
65EESeong-Bae Park, Jeong Ho Chang, Byoung-Tak Zhang: Korean Compound Noun Decomposition Using Syllabic Information Only. CICLing 2004: 146-157
64EEJae-Hong Eom, Byoung-Tak Zhang: BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform. CIT 2004: 11-20
63EEJae-Hong Eom, Byoung-Tak Zhang: Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions. CIT 2004: 49-57
62EEJi Youn Lee, Hee-Woong Lim, Suk-In Yoo, Byoung-Tak Zhang, Tai Hyun Park: Efficient Initial Pool Generation for Weighted Graph Problems Using Parallel Overlap Assembly. DNA 2004: 215-223
61EEByoung-Tak Zhang, Ha-Young Jang: A Bayesian Algorithm for In Vitro Molecular Evolution of Pattern Classifiers. DNA 2004: 458-467
60EEJangmin O, Jae Won Lee, Jongwoo Lee, Byoung-Tak Zhang: Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework. ECML 2004: 298-309
59EEJin-Wu Nam, Je-Gun Joung, Y. S. Ahn, Byoung-Tak Zhang: Two-Step Genetic Programming for Optimization of RNA Common-Structure. EvoWorkshops 2004: 73-83
58EEJae-Hong Eom, Seong-Bae Park, Byoung-Tak Zhang: Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV). ICONIP 2004: 1334-1343
57EEByoung-Hee Kim, Seong-Bae Park, Byoung-Tak Zhang: PromSearch: A Hybrid Approach to Human Core-Promoter Prediction. IDEAL 2004: 125-131
56EEJangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak Zhang: Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks. IDEAL 2004: 794-799
55EEJae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang: Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining. IDEAL 2004: 85-91
54EEDong-Yeon Cho, Byoung-Tak Zhang: Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model. PPSN 2004: 212-221
53EEJe-Gun Joung, Sok June Oh, Byoung-Tak Zhang: Searching Transcriptional Modules Using Evolutionary Algorithms. PPSN 2004: 532-540
52EEJe-Gun Joung, Sok June Oh, Byoung-Tak Zhang: Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines. PRICAI 2004: 723-731
51EEJin-Wu Nam, Wha-Jin Lee, Byoung-Tak Zhang: Computational Methods for Identification of Human microRNA Precursors. PRICAI 2004: 732-741
50EEIn-Hee Lee, Sun Kim, Byoung-Tak Zhang: Multi-objective Evolutionary Probe Design Based on Thermodynamic Criteria for HPV Detection. PRICAI 2004: 742-750
49EESeong-Bae Park, Byoung-Tak Zhang: Co-trained support vector machines for large scale unstructured document classification using unlabeled data and syntactic information. Inf. Process. Manage. 40(3): 421-439 (2004)
48EEDerrel Blain, Max H. Garzon, Soo-Yong Shin, Byoung-Tak Zhang, Satoshi Kashiwamura, Masahito Yamamoto, Atsushi Kameda, Azuma Ohuchi: Development, evaluation and benchmarking of simulation software for biomolecule-based computing. Natural Computing 3(4): 427-442 (2004)
47EESeong-Bae Park, Byoung-Tak Zhang: Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning. ACL 2003: 497-504
46EESeong-Bae Park, Sohyun Hwang, Byoung-Tak Zhang: Mining the Risk Types of Human Papillomavirus (HPV) by AdaCost. DEXA 2003: 403-412
45EEHee-Woong Lim, Hae-Man Jang, Sung-Mo Ha, Young-Gyu Chai, Suk-In Yoo, Byoung-Tak Zhang: A Lab-on-a-Chip Module for Bead Separation in DNA-Based Concept Learning. DNA 2003: 1-10
44EEIn-Hee Lee, Ji-Yoon Park, Young-Gyu Chai, Byoung-Tak Zhang: RCA-Based Detection Methods for Resolution Refutation. DNA 2003: 32-36
43EESeong-Bae Park, Sohyun Hwang, Byoung-Tak Zhang: Classification of the Risk Types of Human Papillomavirus by Decision Trees. IDEAL 2003: 540-544
42EESeong-Bae Park, Byoung-Tak Zhang: Automatic Webpage Classification Enhanced by Unlabeled Data. IDEAL 2003: 821-825
41EEYuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang: An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition. PAKDD 2003: 111-116
40EESeong-Bae Park, Byoung-Tak Zhang: Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information. PAKDD 2003: 88-99
39 Sun Kim, Byoung-Tak Zhang: Genetic Mining of HTML Structures for Effective Web-Document Retrieval. Appl. Intell. 18(3): 243-256 (2003)
38 Seong-Bae Park, Byoung-Tak Zhang, Yung Taek Kim: Word Sense Disambiguation by Learning Decision Trees from Unlabeled Data. Appl. Intell. 19(1-2): 27-38 (2003)
37EEByoung-Tak Zhang, Jinsan Yang, Sung Wook Chi: Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling. Machine Learning 52(1-2): 67-89 (2003)
36EEYuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang: A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation. COLING 2002
35EEHee-Woong Lim, Ji-Eun Yun, Hae-Man Jang, Young-Gyu Chai, Suk-In Yoo, Byoung-Tak Zhang: Version Space Learning with DNA Molecules. DNA 2002: 143-155
34EEIn-Hee Lee, Ji-Yoon Park, Hae-Man Jang, Young-Gyu Chai, Byoung-Tak Zhang: DNA Implementation of Theorem Proving with Resolution Refutation in Propositional Logic. DNA 2002: 156-167
33EEDongmin Kim, Soo-Yong Shin, In-Hee Lee, Byoung-Tak Zhang: NACST/Seq: A Sequence Design System with Multiobjective Optimization. DNA 2002: 242-251
32EEJi Youn Lee, Soo-Yong Shin, Sirk June Augh, Tai Hyun Park, Byoung-Tak Zhang: Temperature Gradient-Based DNA Computing for Graph Problems with Weighted Edges. DNA 2002: 73-84
31 Jangmin O, Jae Won Lee, Byoung-Tak Zhang: Stock Trading System Using Reinforcement Learning with Cooperative Agents. ICML 2002: 451-458
30 Seong-Bae Park, Byoung-Tak Zhang: A Boosted Maximum Entropy Model for Learning Text Chunking. ICML 2002: 482-489
29EEKyu Baek Hwang, Jae Won Lee, Seung-Woo Chung, Byoung-Tak Zhang: Construction of Large-Scale Bayesian Networks by Local to Global Search. PRICAI 2002: 375-384
28EEJeong Ho Chang, Jae Won Lee, Yuseop Kim, Byoung-Tak Zhang: Topic Extraction from Text Documents Using Multiple-Cause Networks. PRICAI 2002: 434-443
27EEYuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang: Target Word Selection Using WordNet and Data-Driven Models in Machine Translation. PRICAI 2002: 607
26 Byoung-Tak Zhang, Young-Woo Seo: Personalized Web-Document Filtering Using Reinforcement Learning. Applied Artificial Intelligence 15(6): 665-685 (2001)
25 Byoung-Tak Zhang, Young-Woo Seo: Personalized Web-Document Filtering Using Reinforcement Learning. Applied Artificial Intelligence 15(7): 665-685 (2001)
24EEYuseop Kim, Byoung-Tak Zhang, Yung Taek Kim: Collocation Dictionary Optimization Using WordNet and k-Nearest Neighbor Learning. Machine Translation 16(2): 89-108 (2001)
23EESung Dong Kim, Byoung-Tak Zhang, Yung Taek Kim: Learning-based Intrasentence Segmentation for Efficient Translation of Long Sentences. Machine Translation 16(3): 151-174 (2001)
22EESeong-Bae Park, Byoung-Tak Zhang, Yung Taek Kim: Word Sense Disambiguation by Learning from Unlabeled Data. ACL 2000
21EEYoung-Woo Seo, Byoung-Tak Zhang: Learning user's preferences by analyzing Web-browsing behaviors. Agents 2000: 381-387
20EEHo-Sik Seok, Kwang-Ju Lee, Byoung-Tak Zhang, Dong-Wook Lee, Kwee-Bo Sim: Genetic Programming of Process Decomposition Strategies for Evolvable Hardware. Evolvable Hardware 2000: 25-36
19EEYoung-Woo Seo, Byoung-Tak Zhang: A reinforcement learning agent for personalized information filtering. IUI 2000: 248-251
18 Byoung-Tak Zhang, Je-Gun Joung: Building Optimal Committees of Genetic Programs. PPSN 2000: 231-240
17 Byoung-Tak Zhang, Soo-Yong Shin: Bayesian Evolutionary Optimization Using Helmholtz Machines. PPSN 2000: 827-836
16EESun Kim, Byoung-Tak Zhang: Web-Document Retrieval by Genetic Learning of Importance Factors for HTML Tags. PRICAI Workshop on Text and Web Mining 2000: 13-23
15EEYu-Hwan Kim, Shang-Yoon Hahn, Byoung-Tak Zhang: Text filtering by boosting naive bayes classifiers. SIGIR 2000: 168-175
14 Byoung-Tak Zhang: Bayesian Methods for Efficient Genetic Programming. Genetic Programming and Evolvable Machines 1(3): 217-242 (2000)
13 Shu-Heng Chen, Hung-Shuo Wang, Byoung-Tak Zhang: Forecasting High-Frequency Financial Time Series with Evolutionary Neural Trees: The Case of Heng-Sheng Stock Index. IC-AI 1999: 437-443
12EEDong-Ho Shin, Yu-Hwan Kim, Sun Kim, Jae-Hong Eom, Hyung-Joo Shin, Byoung-Tak Zhang: SCAI TREC-8 Experiments. TREC 1999
11 Suk-Joon Kim, Byoung-Tak Zhang: Active Data Partitioning for Building Mixture Models. ICONIP 1998: 854-857
10EEByoung-Tak Zhang, Dong-Yeon Cho: Genetic Programming with Active Data Selection. SEAL 1998: 146-153
9 Dong-Ho Shin, Byoung-Tak Zhang: A Two-Stage Retrieval Model for the TREC-7 Ad Hoc Task. TREC 1998: 439-445
8 Byoung-Tak Zhang, Peter Ohm, Heinz Mühlenbein: Evolutionary Induction of Sparse Neural Trees. Evolutionary Computation 5(2): 213-236 (1997)
7 Byoung-Tak Zhang, Heinz Mühlenbein: Balancing Accuracy and Parsimony in Genetic Programming. Evolutionary Computation 3(1): 17-38 (1995)
6 Byoung-Tak Zhang, Heinz Mühlenbein: Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming. International Conference on Evolutionary Computation 1994: 318-323
5 Byoung-Tak Zhang: Effects of Occam's Razor in Evolving Sigma-Pi Neural Nets. PPSN 1994: 462-471
4EEByoung-Tak Zhang: Accelerated Learning by Active Example Selection. Int. J. Neural Syst. 5(1): 67-75 (1994)
3 Byoung-Tak Zhang, Heinz Mühlenbein: Genetic Programming of Minimal Neural Nets Using Occam's Razor. ICGA 1993: 342-351
2 Byoung-Tak Zhang: Lernen durch Genetisch-Neuronale Evolution: Aktive Anpassung an unbekannte Umgebungen mit selbstentwickelten parallelen Netzwerken. Infix Verlag, St. Augustin, Germany 1992
1EEByoung-Tak Zhang, Yung Taek Kim: Morphological Analysis and Synthesis by Automated Discovery and Acquisition of Linguistic Rules. COLING 1990: 431-436

Coauthor Index

1Y. S. Ahn [59]
2Sirk June Augh [32]
3Derrel Blain [48]
4Young-Gyu Chai [34] [35] [44] [45]
5Jeong Ho Chang [27] [28] [36] [41] [55] [65] [67]
6Shu-Heng Chen [13]
7Sung Wook Chi [37]
8Dong-Yeon Cho [10] [54] [80] [86] [97]
9Kwang-Hyun Cho [80]
10Seung-Woo Chung [29]
11Jae-Hong Eom [12] [55] [58] [63] [64] [66] [72] [73] [81] [82] [83] [94] [98]
12Max H. Garzon [48]
13Steven A. Greenberg [71]
14JungWoo Ha [94]
15Sung-Mo Ha [45]
16Shang-Yoon Hahn [15]
17Kyu Baek Hwang [29] [67] [69] [71] [84] [91] [96]
18Sohyun Hwang [43] [46]
19Ha-Young Jang [61] [74] [75]
20Hae-Man Jang [34] [35] [45]
21Je-Gun Joung [18] [52] [53] [59] [79] [91]
22Atsushi Kameda [48]
23Satoshi Kashiwamura [48]
24Byoung-Hee Kim [57] [84]
25Dongmin Kim [33] [70]
26Jinhan Kim [77]
27Jong Chan Kim [90]
28Joo-Kyung Kim [89] [93]
29Joon Shik Kim [90]
30Kee-Young Kim [86]
31Richard D. Kim [71]
32Seong-Hwan Kim [81]
33Soo-Jin Kim [91] [92] [97]
34Suk-Joon Kim [11]
35Sun Kim [12] [16] [39] [50] [81] [85] [92] [97]
36Sung Dong Kim [23]
37Sung-Chun Kim [94] [98]
38Sung-Kyu Kim [76] [77]
39Yu-Hwan Kim [12] [15]
40Yung Taek Kim [1] [22] [23] [24] [38]
41Yuseop Kim [24] [27] [28] [36] [41]
42Isaac S. Kohane [71]
43Sek Won Kong [71]
44Dong-Wook Lee [20]
45In-Hee Lee [33] [34] [44] [50] [70] [87] [88] [96]
46Jae Won Lee [28] [29] [31] [56] [60] [68] [78]
47Ji Youn Lee [32] [62]
48Jongwoo Lee [60] [68] [78]
49Kwang-Ju Lee [20]
50Wha-Jin Lee [51] [76]
51Hee-Woong Lim [35] [45] [62]
52Heinz Mühlenbein [3] [6] [7] [8]
53Jin-Wu Nam [51] [59] [76] [77] [91] [96]
54Jangmin O [31] [56] [60] [68] [78] [90]
55Sok June Oh [52] [53] [67]
56Peter Ohm [8]
57Azuma Ohuchi [48]
58Chan-Hoon Park [97]
59Ji-Yoon Park [34] [44]
60Peter J. Park [71]
61Seong-Bae Park [22] [30] [38] [40] [42] [43] [46] [47] [49] [57] [58] [65] [96]
62Sung-Bae Park [56]
63Tai Hyun Park [32] [62]
64Young-Woo Seo [19] [21] [25] [26]
65Ho-Sik Seok [20]
66Rho Hyun Seong [79]
67Dong-Ho Shin [9] [12] [79]
68Hyung-Joo Shin [12]
69Soo-Yong Shin [17] [32] [33] [48] [70] [87] [88]
70Kwee-Bo Sim [20]
71Hung-Shuo Wang [13]
72Masahito Yamamoto [48]
73Jinsan Yang [37]
74Suk-In Yoo [35] [45] [62]
75Ji-Eun Yun [35]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)