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Author:
Byoung-Tak Zhang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Seong-Bae Park, Byoung-Tak Zhang
    Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning. [Citation Graph (0, 0)][DBLP]
    ACL, 2003, pp:497-504 [Conf]
  2. Seong-Bae Park, Byoung-Tak Zhang, Yung Taek Kim
    Word Sense Disambiguation by Learning from Unlabeled Data. [Citation Graph (0, 0)][DBLP]
    ACL, 2000, pp:- [Conf]
  3. Young-Woo Seo, Byoung-Tak Zhang
    Learning user's preferences by analyzing Web-browsing behaviors. [Citation Graph (0, 0)][DBLP]
    Agents, 2000, pp:381-387 [Conf]
  4. Jae-Hong Eom, Byoung-Tak Zhang
    PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining. [Citation Graph (0, 0)][DBLP]
    AIMSA, 2004, pp:216-225 [Conf]
  5. 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. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:46-52 [Conf]
  6. Seong-Bae Park, Jeong Ho Chang, Byoung-Tak Zhang
    Korean Compound Noun Decomposition Using Syllabic Information Only. [Citation Graph (0, 0)][DBLP]
    CICLing, 2004, pp:146-157 [Conf]
  7. Jae-Hong Eom, Byoung-Tak Zhang
    BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform. [Citation Graph (0, 0)][DBLP]
    CIT, 2004, pp:11-20 [Conf]
  8. Jae-Hong Eom, Byoung-Tak Zhang
    Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions. [Citation Graph (0, 0)][DBLP]
    CIT, 2004, pp:49-57 [Conf]
  9. Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang
    A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation. [Citation Graph (0, 0)][DBLP]
    COLING, 2002, pp:- [Conf]
  10. Byoung-Tak Zhang, Yung Taek Kim
    Morphological Analysis and Synthesis by Automated Discovery and Acquisition of Linguistic Rules. [Citation Graph (0, 0)][DBLP]
    COLING, 1990, pp:431-436 [Conf]
  11. Seong-Bae Park, Sohyun Hwang, Byoung-Tak Zhang
    Mining the Risk Types of Human Papillomavirus (HPV) by AdaCost. [Citation Graph (0, 0)][DBLP]
    DEXA, 2003, pp:403-412 [Conf]
  12. Dongmin Kim, Soo-Yong Shin, In-Hee Lee, Byoung-Tak Zhang
    NACST/Seq: A Sequence Design System with Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    DNA, 2002, pp:242-251 [Conf]
  13. Ji 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. [Citation Graph (0, 0)][DBLP]
    DNA, 2004, pp:215-223 [Conf]
  14. In-Hee Lee, Ji-Yoon Park, Young-Gyu Chai, Byoung-Tak Zhang
    RCA-Based Detection Methods for Resolution Refutation. [Citation Graph (0, 0)][DBLP]
    DNA, 2003, pp:32-36 [Conf]
  15. In-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. [Citation Graph (0, 0)][DBLP]
    DNA, 2002, pp:156-167 [Conf]
  16. Ji 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. [Citation Graph (0, 0)][DBLP]
    DNA, 2002, pp:73-84 [Conf]
  17. Hee-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. [Citation Graph (0, 0)][DBLP]
    DNA, 2003, pp:1-10 [Conf]
  18. Hee-Woong Lim, Ji-Eun Yun, Hae-Man Jang, Young-Gyu Chai, Suk-In Yoo, Byoung-Tak Zhang
    Version Space Learning with DNA Molecules. [Citation Graph (0, 0)][DBLP]
    DNA, 2002, pp:143-155 [Conf]
  19. Byoung-Tak Zhang, Ha-Young Jang
    A Bayesian Algorithm for In Vitro Molecular Evolution of Pattern Classifiers. [Citation Graph (0, 0)][DBLP]
    DNA, 2004, pp:458-467 [Conf]
  20. Byoung-Tak Zhang, Joo-Kyung Kim
    DNA Hypernetworks for Information Storage and Retrieval. [Citation Graph (0, 0)][DBLP]
    DNA, 2006, pp:298-307 [Conf]
  21. Byoung-Tak Zhang, Ha-Young Jang
    Molecular Learning of wDNF Formulae. [Citation Graph (0, 0)][DBLP]
    DNA, 2005, pp:427-437 [Conf]
  22. Jangmin O, Jae Won Lee, Jongwoo Lee, Byoung-Tak Zhang
    Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:298-309 [Conf]
  23. Ho-Sik Seok, Kwang-Ju Lee, Byoung-Tak Zhang, Dong-Wook Lee, Kwee-Bo Sim
    Genetic Programming of Process Decomposition Strategies for Evolvable Hardware. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2000, pp:25-36 [Conf]
  24. In-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang
    Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:376-385 [Conf]
  25. Kee-Young Kim, Dong-Yeon Cho, Byoung-Tak Zhang
    Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networks. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2006, pp:45-56 [Conf]
  26. Sun Kim, Byoung-Tak Zhang
    Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2006, pp:57-66 [Conf]
  27. Jin-Wu Nam, Je-Gun Joung, Y. S. Ahn, Byoung-Tak Zhang
    Two-Step Genetic Programming for Optimization of RNA Common-Structure. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2004, pp:73-83 [Conf]
  28. Soo-Yong Shin, In-Hee Lee, Byoung-Tak Zhang
    Microarray Probe Design Using epsilon-Multi-Objective Evolutionary Algorithms with Thermodynamic Criteria. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2006, pp:184-195 [Conf]
  29. Byoung-Tak Zhang, Ha-Young Jang
    Molecular programming: evolving genetic programs in a test tube. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1761-1768 [Conf]
  30. 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. [Citation Graph (0, 0)][DBLP]
    IC-AI, 1999, pp:437-443 [Conf]
  31. Jae-Hong Eom, Byoung-Tak Zhang
    Prediction of Yeast Protein-Protein Interactions by Neural Feature Association Rule. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:491-496 [Conf]
  32. Byoung-Tak Zhang, Heinz Mühlenbein
    Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:318-323 [Conf]
  33. Byoung-Tak Zhang, Heinz Mühlenbein
    Genetic Programming of Minimal Neural Nets Using Occam's Razor. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:342-351 [Conf]
  34. Jangmin O, Jae Won Lee, Byoung-Tak Zhang
    Stock Trading System Using Reinforcement Learning with Cooperative Agents. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:451-458 [Conf]
  35. Seong-Bae Park, Byoung-Tak Zhang
    A Boosted Maximum Entropy Model for Learning Text Chunking. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:482-489 [Conf]
  36. Jae-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). [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:1334-1343 [Conf]
  37. Jae-Hong Eom, Byoung-Tak Zhang
    Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining. [Citation Graph (0, 0)][DBLP]
    ICONIP (3), 2006, pp:30-39 [Conf]
  38. Kyu Baek Hwang, Byoung-Hee Kim, Byoung-Tak Zhang
    Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:670-679 [Conf]
  39. Suk-Joon Kim, Byoung-Tak Zhang
    Active Data Partitioning for Building Mixture Models. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:854-857 [Conf]
  40. Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang
    Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:85-91 [Conf]
  41. Byoung-Hee Kim, Seong-Bae Park, Byoung-Tak Zhang
    PromSearch: A Hybrid Approach to Human Core-Promoter Prediction. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:125-131 [Conf]
  42. Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak Zhang
    Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:794-799 [Conf]
  43. Seong-Bae Park, Sohyun Hwang, Byoung-Tak Zhang
    Classification of the Risk Types of Human Papillomavirus by Decision Trees. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:540-544 [Conf]
  44. Seong-Bae Park, Byoung-Tak Zhang
    Automatic Webpage Classification Enhanced by Unlabeled Data. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:821-825 [Conf]
  45. Jae-Hong Eom, Byoung-Tak Zhang
    Mining Protein Interaction from Biomedical Literature with Relation Kernel Method. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:642-647 [Conf]
  46. Young-Woo Seo, Byoung-Tak Zhang
    A reinforcement learning agent for personalized information filtering. [Citation Graph (0, 0)][DBLP]
    Intelligent User Interfaces, 2000, pp:248-251 [Conf]
  47. Jae-Hong Eom, Byoung-Tak Zhang
    Extraction of Gene/Protein Interaction from Text Documents with Relation Kernel. [Citation Graph (0, 0)][DBLP]
    KES (2), 2005, pp:936-942 [Conf]
  48. Jae-Hong Eom, Sun Kim, Seong-Hwan Kim, Byoung-Tak Zhang
    A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature. [Citation Graph (0, 0)][DBLP]
    KDLL, 2006, pp:42-52 [Conf]
  49. Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang
    An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2003, pp:111-116 [Conf]
  50. Seong-Bae Park, Byoung-Tak Zhang
    Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2003, pp:88-99 [Conf]
  51. Dong-Yeon Cho, Byoung-Tak Zhang
    Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:212-221 [Conf]
  52. Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
    Searching Transcriptional Modules Using Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:532-540 [Conf]
  53. Byoung-Tak Zhang
    Effects of Occam's Razor in Evolving Sigma-Pi Neural Nets. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:462-471 [Conf]
  54. Byoung-Tak Zhang, Je-Gun Joung
    Building Optimal Committees of Genetic Programs. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:231-240 [Conf]
  55. Byoung-Tak Zhang, Soo-Yong Shin
    Bayesian Evolutionary Optimization Using Helmholtz Machines. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:827-836 [Conf]
  56. Jeong Ho Chang, Jae Won Lee, Yuseop Kim, Byoung-Tak Zhang
    Topic Extraction from Text Documents Using Multiple-Cause Networks. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2002, pp:434-443 [Conf]
  57. Kyu Baek Hwang, Jae Won Lee, Seung-Woo Chung, Byoung-Tak Zhang
    Construction of Large-Scale Bayesian Networks by Local to Global Search. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2002, pp:375-384 [Conf]
  58. Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang
    Target Word Selection Using WordNet and Data-Driven Models in Machine Translation. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2002, pp:607- [Conf]
  59. Sun Kim, Byoung-Tak Zhang
    Web-Document Retrieval by Genetic Learning of Importance Factors for HTML Tags. [Citation Graph (0, 0)][DBLP]
    PRICAI Workshop on Text and Web Mining, 2000, pp:13-23 [Conf]
  60. Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
    Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2004, pp:723-731 [Conf]
  61. In-Hee Lee, Sun Kim, Byoung-Tak Zhang
    Multi-objective Evolutionary Probe Design Based on Thermodynamic Criteria for HPV Detection. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2004, pp:742-750 [Conf]
  62. Jin-Wu Nam, Wha-Jin Lee, Byoung-Tak Zhang
    Computational Methods for Identification of Human microRNA Precursors. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2004, pp:732-741 [Conf]
  63. Byoung-Tak Zhang, Dong-Yeon Cho
    Genetic Programming with Active Data Selection. [Citation Graph (0, 0)][DBLP]
    SEAL, 1998, pp:146-153 [Conf]
  64. Yu-Hwan Kim, Shang-Yoon Hahn, Byoung-Tak Zhang
    Text filtering by boosting naive bayes classifiers. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2000, pp:168-175 [Conf]
  65. Dong-Ho Shin, Yu-Hwan Kim, Sun Kim, Jae-Hong Eom, Hyung-Joo Shin, Byoung-Tak Zhang
    SCAI TREC-8 Experiments. [Citation Graph (0, 0)][DBLP]
    TREC, 1999, pp:- [Conf]
  66. Dong-Ho Shin, Byoung-Tak Zhang
    A Two-Stage Retrieval Model for the TREC-7 Ad Hoc Task. [Citation Graph (0, 0)][DBLP]
    TREC, 1998, pp:439-445 [Conf]
  67. Byoung-Tak Zhang, Young-Woo Seo
    Personalized Web-Document Filtering Using Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2001, v:15, n:6, pp:665-685 [Journal]
  68. Byoung-Tak Zhang, Young-Woo Seo
    Personalized Web-Document Filtering Using Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2001, v:15, n:7, pp:665-685 [Journal]
  69. Sun Kim, Byoung-Tak Zhang
    Genetic Mining of HTML Structures for Effective Web-Document Retrieval. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2003, v:18, n:3, pp:243-256 [Journal]
  70. Seong-Bae Park, Byoung-Tak Zhang, Yung Taek Kim
    Word Sense Disambiguation by Learning Decision Trees from Unlabeled Data. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2003, v:19, n:1-2, pp:27-38 [Journal]
  71. Dong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang
    Identification of biochemical networks by S-tree based genetic programming. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:13, pp:1631-1640 [Journal]
  72. Je-Gun Joung, Dongho Shin, Rho Hyun Seong, Byoung-Tak Zhang
    Identification of regulatory modules by co-clustering latent variable models: stem cell differentiation. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:16, pp:2005-2011 [Journal]
  73. Sek 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. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:9, pp:2116-2117 [Journal]
  74. Byoung-Tak Zhang, Heinz Mühlenbein
    Balancing Accuracy and Parsimony in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1995, v:3, n:1, pp:17-38 [Journal]
  75. Byoung-Tak Zhang, Peter Ohm, Heinz Mühlenbein
    Evolutionary Induction of Sparse Neural Trees. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1997, v:5, n:2, pp:213-236 [Journal]
  76. Byoung-Tak Zhang
    Bayesian Methods for Efficient Genetic Programming. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2000, v:1, n:3, pp:217-242 [Journal]
  77. Byoung-Tak Zhang
    Accelerated Learning by Active Example Selection. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1994, v:5, n:1, pp:67-75 [Journal]
  78. Seong-Bae Park, Byoung-Tak Zhang
    Co-trained support vector machines for large scale unstructured document classification using unlabeled data and syntactic information. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Manage., 2004, v:40, n:3, pp:421-439 [Journal]
  79. Jangmin O, Jongwoo Lee, Jae Won Lee, Byoung-Tak Zhang
    Adaptive stock trading with dynamic asset allocation using reinforcement learning. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:15, pp:2121-2147 [Journal]
  80. Jeong Ho Chang, Kyu Baek Hwang, Sok June Oh, Byoung-Tak Zhang
    Bayesian Network Learning with Feature Abstraction for Gene-drug Dependency Analysis. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2005, v:3, n:1, pp:61-78 [Journal]
  81. Byoung-Tak Zhang, Jinsan Yang, Sung Wook Chi
    Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:52, n:1-2, pp:67-89 [Journal]
  82. Yuseop Kim, Byoung-Tak Zhang, Yung Taek Kim
    Collocation Dictionary Optimization Using WordNet and k-Nearest Neighbor Learning. [Citation Graph (0, 0)][DBLP]
    Machine Translation, 2001, v:16, n:2, pp:89-108 [Journal]
  83. Sung Dong Kim, Byoung-Tak Zhang, Yung Taek Kim
    Learning-based Intrasentence Segmentation for Efficient Translation of Long Sentences. [Citation Graph (0, 0)][DBLP]
    Machine Translation, 2001, v:16, n:3, pp:151-174 [Journal]
  84. Jin-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. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2006, v:34, n:Web-Server-Issue, pp:455-458 [Journal]
  85. Derrel 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. [Citation Graph (0, 0)][DBLP]
    Natural Computing, 2004, v:3, n:4, pp:427-442 [Journal]
  86. Soo-Yong Shin, In-Hee Lee, Dongmin Kim, Byoung-Tak Zhang
    Multiobjective evolutionary optimization of DNA sequences for reliable DNA computing. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2005, v:9, n:2, pp:143-158 [Journal]
  87. Kyu Baek Hwang, Byoung-Tak Zhang
    Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:6, pp:1302-1310 [Journal]
  88. Jin-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. [Citation Graph (0, 0)][DBLP]
    EvoBIO, 2007, pp:176-186 [Conf]
  89. Jungwoo Ha, Jae-Hong Eom, Sungchun Kim, Byoung-Tak Zhang
    Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:2709-2716 [Conf]
  90. Byoung-Tak Zhang
    Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:344-349 [Conf]
  91. Je-Gun Joung, Kyu Baek Hwang, Jin-Wu Nam, Soo-Jin Kim, Byoung-Tak Zhang
    Discovery of microRNA-mRNA modules via population-based probabilistic learning. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:9, pp:1141-1147 [Journal]
  92. Joon 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. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2007, v:26, n:2, pp:121-131 [Journal]

  93. Online Learning of Uneven Terrain for Humanoid Bipedal Walking. [Citation Graph (, )][DBLP]


  94. Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm. [Citation Graph (, )][DBLP]


  95. AESNB: Active Example Selection with Naive Bayes Classifier for Learning from Imbalanced Biomedical Data. [Citation Graph (, )][DBLP]


  96. Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering. [Citation Graph (, )][DBLP]


  97. Cognitive learning and the multimodal memory game: Toward human-level machine learning. [Citation Graph (, )][DBLP]


  98. Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval. [Citation Graph (, )][DBLP]


  99. Visual Query Expansion via Incremental Hypernetwork Models of Image and Text. [Citation Graph (, )][DBLP]


  100. MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory. [Citation Graph (, )][DBLP]


  101. Evolving hypernetworks for pattern classification. [Citation Graph (, )][DBLP]


  102. Evolving hypernetwork classifiers for microRNA expression profile analysis. [Citation Graph (, )][DBLP]


  103. Evolving hypernetwork models of binary time series for forecasting price movements on stock markets. [Citation Graph (, )][DBLP]


  104. Ensemble Learning Based on Active Example Selection for Solving Imbalanced Data Problem in Biomedical Data. [Citation Graph (, )][DBLP]


  105. Social Influence Models Based on Starbucks Networks. [Citation Graph (, )][DBLP]


  106. Subjective Document Classification Using Network Analysis. [Citation Graph (, )][DBLP]


  107. Dynamic and Static Influence Models on Starbucks Networks. [Citation Graph (, )][DBLP]


  108. miTarget: microRNA target gene prediction using a support vector machine. [Citation Graph (, )][DBLP]


  109. Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks. [Citation Graph (, )][DBLP]


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