 | 2009 |
|---|
| 104 |       | Jakramate Bootkrajang,
Sun Kim,
Byoung-Tak Zhang:
Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering.
GECCO 2009: 185-192 |
| 2008 |
|---|
| 103 | | Byoung-Tak Zhang:
Cognitive learning and the multimodal memory game: Toward human-level machine learning.
IJCNN 2008: 3261-3267 |
| 102 | | Jae-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) |
| 101 | | Sun Kim,
Soo-Yong Shin,
In-Hee Lee,
Soo-Jin Kim,
Ram Sriram,
Byoung-Tak Zhang:
PIE: an online prediction system for protein-protein interactions from text.
Nucleic Acids Research 36(Web-Server-Issue): 411-415 (2008) |
| 2007 |
|---|
| 100 | | Chan-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 |
| 99 | | 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.
EvoBIO 2007: 176-186 |
| 98 | | Byoung-Tak Zhang:
Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency.
FOCI 2007: 344-349 |
| 97 | | JungWoo Ha,
Jae-Hong Eom,
Sung-Chun Kim,
Byoung-Tak Zhang:
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis.
GECCO (Companion) 2007: 2709-2716 |
| 96 | | Joo-Kyung Kim,
Byoung-Tak Zhang:
Evolving hypernetworks for pattern classification.
IEEE Congress on Evolutionary Computation 2007: 1856-1862 |
| 95 | | Sun Kim,
Soo-Jin Kim,
Byoung-Tak Zhang:
Evolving hypernetwork classifiers for microRNA expression profile analysis.
IEEE Congress on Evolutionary Computation 2007: 313-319 |
| 94 | | 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.
Bioinformatics 23(9): 1141-1147 (2007) |
| 93 | | 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.
Neural Processing Letters 26(2): 121-131 (2007) |
| 2006 |
|---|
| 92 | | Byoung-Tak Zhang,
Joo-Kyung Kim:
DNA Hypernetworks for Information Storage and Retrieval.
DNA 2006: 298-307 |
| 91 | | In-Hee Lee,
Soo-Yong Shin,
Byoung-Tak Zhang:
Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm.
EMO 2006: 376-385 |
| 90 | | Soo-Yong Shin,
In-Hee Lee,
Byoung-Tak Zhang:
Microarray Probe Design Using epsilon-Multi-Objective Evolutionary Algorithms with Thermodynamic Criteria.
EvoWorkshops 2006: 184-195 |
| 89 | | Kee-Young Kim,
Dong-Yeon Cho,
Byoung-Tak Zhang:
Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networks.
EvoWorkshops 2006: 45-56 |
| 88 | | Sun Kim,
Byoung-Tak Zhang:
Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines.
EvoWorkshops 2006: 57-66 |
| 87 | | Kyu Baek Hwang,
Byoung-Hee Kim,
Byoung-Tak Zhang:
Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis.
ICONIP (1) 2006: 670-679 |
| 86 | | Jae-Hong Eom,
Byoung-Tak Zhang:
Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining.
ICONIP (3) 2006: 30-39 |
| 85 | | Jae-Hong Eom,
Byoung-Tak Zhang:
Mining Protein Interaction from Biomedical Literature with Relation Kernel Method.
ISNN (2) 2006: 642-647 |
| 84 | | Jae-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 |
| 83 | | Sok June Oh,
Je-Gun Joung,
Jeong Ho Chang,
Byoung-Tak Zhang:
Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks.
BMC Bioinformatics 7: 284 (2006) |
| 82 | | Sung-Kyu Kim,
Jin-Wu Nam,
Je-Keun Rhee,
Wha-Jin Lee,
Byoung-Tak Zhang:
miTarget: microRNA target gene prediction using a support vector machine.
BMC Bioinformatics 7: 411 (2006) |
| 81 | | Dong-Yeon Cho,
Kwang-Hyun Cho,
Byoung-Tak Zhang:
Identification of biochemical networks by S-tree based genetic programming.
Bioinformatics 22(13): 1631-1640 (2006) |
| 80 | | Je-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) |
| 79 | | Jangmin 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) |
| 78 | | 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.
Nucleic Acids Research 34(Web-Server-Issue): 455-458 (2006) |
| 2005 |
|---|
| 77 |  | 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 |
| 76 | | Byoung-Tak Zhang,
Ha-Young Jang:
Molecular Learning of wDNF Formulae.
DNA 2005: 427-437 |
| 75 | | Byoung-Tak Zhang,
Ha-Young Jang:
Molecular programming: evolving genetic programs in a test tube.
GECCO 2005: 1761-1768 |
| 74 | | Jae-Hong Eom,
Byoung-Tak Zhang:
Prediction of Yeast Protein-Protein Interactions by Neural Feature Association Rule.
ICANN (2) 2005: 491-496 |
| 73 | | Jae-Hong Eom,
Byoung-Tak Zhang:
Extraction of Gene/Protein Interaction from Text Documents with Relation Kernel.
KES (2) 2005: 936-942 |
| 72 | | 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.
Bioinformatics 21(9): 2116-2117 (2005) |
| 71 | | Soo-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) |
| 70 | | Kyu 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) |
| 69 | | Jangmin 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) |
| 68 | | Jeong 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) |
| 2004 |
|---|
| 67 | | Jae-Hong Eom,
Byoung-Tak Zhang:
PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining.
AIMSA 2004: 216-225 |
| 66 | | Seong-Bae Park,
Jeong Ho Chang,
Byoung-Tak Zhang:
Korean Compound Noun Decomposition Using Syllabic Information Only.
CICLing 2004: 146-157 |
| 65 | | Jae-Hong Eom,
Byoung-Tak Zhang:
BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform.
CIT 2004: 11-20 |
| 64 | | Jae-Hong Eom,
Byoung-Tak Zhang:
Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions.
CIT 2004: 49-57 |
| 63 | | 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.
DNA 2004: 215-223 |
| 62 | | Byoung-Tak Zhang,
Ha-Young Jang:
A Bayesian Algorithm for In Vitro Molecular Evolution of Pattern Classifiers.
DNA 2004: 458-467 |
| 61 | | Jangmin O,
Jae Won Lee,
Jongwoo Lee,
Byoung-Tak Zhang:
Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework.
ECML 2004: 298-309 |
| 60 | | Jin-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 |
| 59 | | 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).
ICONIP 2004: 1334-1343 |
| 58 | | Byoung-Hee Kim,
Seong-Bae Park,
Byoung-Tak Zhang:
PromSearch: A Hybrid Approach to Human Core-Promoter Prediction.
IDEAL 2004: 125-131 |
| 57 | | Jangmin O,
Jae Won Lee,
Sung-Bae Park,
Byoung-Tak Zhang:
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks.
IDEAL 2004: 794-799 |
| 56 | | Jae-Hong Eom,
Jeong Ho Chang,
Byoung-Tak Zhang:
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining.
IDEAL 2004: 85-91 |
| 55 | | Dong-Yeon Cho,
Byoung-Tak Zhang:
Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model.
PPSN 2004: 212-221 |
| 54 | | Je-Gun Joung,
Sok June Oh,
Byoung-Tak Zhang:
Searching Transcriptional Modules Using Evolutionary Algorithms.
PPSN 2004: 532-540 |
| 53 | | Je-Gun Joung,
Sok June Oh,
Byoung-Tak Zhang:
Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines.
PRICAI 2004: 723-731 |
| 52 | | Jin-Wu Nam,
Wha-Jin Lee,
Byoung-Tak Zhang:
Computational Methods for Identification of Human microRNA Precursors.
PRICAI 2004: 732-741 |
| 51 | | In-Hee Lee,
Sun Kim,
Byoung-Tak Zhang:
Multi-objective Evolutionary Probe Design Based on Thermodynamic Criteria for HPV Detection.
PRICAI 2004: 742-750 |
| 50 | | Seong-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) |
| 49 | | 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.
Natural Computing 3(4): 427-442 (2004) |
| 2003 |
|---|
| 48 | | Seong-Bae Park,
Byoung-Tak Zhang:
Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning.
ACL 2003: 497-504 |
| 47 | | Seong-Bae Park,
Sohyun Hwang,
Byoung-Tak Zhang:
Mining the Risk Types of Human Papillomavirus (HPV) by AdaCost.
DEXA 2003: 403-412 |
| 46 | | 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.
DNA 2003: 1-10 |
| 45 | | In-Hee Lee,
Ji-Yoon Park,
Young-Gyu Chai,
Byoung-Tak Zhang:
RCA-Based Detection Methods for Resolution Refutation.
DNA 2003: 32-36 |
| 44 | | Seong-Bae Park,
Sohyun Hwang,
Byoung-Tak Zhang:
Classification of the Risk Types of Human Papillomavirus by Decision Trees.
IDEAL 2003: 540-544 |
| 43 | | Seong-Bae Park,
Byoung-Tak Zhang:
Automatic Webpage Classification Enhanced by Unlabeled Data.
IDEAL 2003: 821-825 |
| 42 | | Yuseop Kim,
Jeong Ho Chang,
Byoung-Tak Zhang:
An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition.
PAKDD 2003: 111-116 |
| 41 | | Seong-Bae Park,
Byoung-Tak Zhang:
Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information.
PAKDD 2003: 88-99 |
| 40 | | Sun Kim,
Byoung-Tak Zhang:
Genetic Mining of HTML Structures for Effective Web-Document Retrieval.
Appl. Intell. 18(3): 243-256 (2003) |
| 39 | | 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) |
| 38 | | Byoung-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) |
| 2002 |
|---|
| 37 | | Yuseop Kim,
Jeong Ho Chang,
Byoung-Tak Zhang:
A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation.
COLING 2002 |
| 36 | | Hee-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 |
| 35 | | 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.
DNA 2002: 156-167 |
| 34 | | Dongmin Kim,
Soo-Yong Shin,
In-Hee Lee,
Byoung-Tak Zhang:
NACST/Seq: A Sequence Design System with Multiobjective Optimization.
DNA 2002: 242-251 |
| 33 | | 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.
DNA 2002: 73-84 |
| 32 | | Jangmin O,
Jae Won Lee,
Byoung-Tak Zhang:
Stock Trading System Using Reinforcement Learning with Cooperative Agents.
ICML 2002: 451-458 |
| 31 | | Seong-Bae Park,
Byoung-Tak Zhang:
A Boosted Maximum Entropy Model for Learning Text Chunking.
ICML 2002: 482-489 |
| 30 | | Kyu 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 |
| 29 | | Jeong Ho Chang,
Jae Won Lee,
Yuseop Kim,
Byoung-Tak Zhang:
Topic Extraction from Text Documents Using Multiple-Cause Networks.
PRICAI 2002: 434-443 |
| 28 | | Yuseop Kim,
Jeong Ho Chang,
Byoung-Tak Zhang:
Target Word Selection Using WordNet and Data-Driven Models in Machine Translation.
PRICAI 2002: 607 |
| 2001 |
|---|
| 27 | | Byoung-Tak Zhang,
Young-Woo Seo:
Personalized Web-Document Filtering Using Reinforcement Learning.
Applied Artificial Intelligence 15(6): 665-685 (2001) |
| 26 | | Byoung-Tak Zhang,
Young-Woo Seo:
Personalized Web-Document Filtering Using Reinforcement Learning.
Applied Artificial Intelligence 15(7): 665-685 (2001) |
| 25 | | Byoung-Tak Zhang,
Dong-Yeon Cho:
System identification using evolutionary Markov chain Monte Carlo.
Journal of Systems Architecture 47(7): 587-599 (2001) |
| 24 | | Yuseop Kim,
Byoung-Tak Zhang,
Yung Taek Kim:
Collocation Dictionary Optimization Using WordNet and k-Nearest Neighbor Learning.
Machine Translation 16(2): 89-108 (2001) |
| 23 | | Sung 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) |
| 2000 |
|---|
| 22 | | Seong-Bae Park,
Byoung-Tak Zhang,
Yung Taek Kim:
Word Sense Disambiguation by Learning from Unlabeled Data.
ACL 2000 |
| 21 | | Young-Woo Seo,
Byoung-Tak Zhang:
Learning user's preferences by analyzing Web-browsing behaviors.
Agents 2000: 381-387 |
| 20 | | Ho-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 |
| 19 | | Young-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 |
| 16 | | Sun 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 |
| 15 | | Yu-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) |
| 1999 |
|---|
| 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 |
| 12 | | Dong-Ho Shin,
Yu-Hwan Kim,
Sun Kim,
Jae-Hong Eom,
Hyung-Joo Shin,
Byoung-Tak Zhang:
SCAI TREC-8 Experiments.
TREC 1999 |
| 1998 |
|---|
| 11 | | Suk-Joon Kim,
Byoung-Tak Zhang:
Active Data Partitioning for Building Mixture Models.
ICONIP 1998: 854-857 |
| 10 | | Byoung-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 |
| 1997 |
|---|
| 8 | | Byoung-Tak Zhang,
Peter Ohm,
Heinz Mühlenbein:
Evolutionary Induction of Sparse Neural Trees.
Evolutionary Computation 5(2): 213-236 (1997) |
| 1995 |
|---|
| 7 | | Byoung-Tak Zhang,
Heinz Mühlenbein:
Balancing Accuracy and Parsimony in Genetic Programming.
Evolutionary Computation 3(1): 17-38 (1995) |
| 1994 |
|---|
| 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 |
| 4 | | Byoung-Tak Zhang:
Accelerated Learning by Active Example Selection.
Int. J. Neural Syst. 5(1): 67-75 (1994) |
| 1993 |
|---|
| 3 | | Byoung-Tak Zhang,
Heinz Mühlenbein:
Genetic Programming of Minimal Neural Nets Using Occam's Razor.
ICGA 1993: 342-351 |
| 1992 |
|---|
| 2 | | Byoung-Tak Zhang:
Lernen durch Genetisch-Neuronale Evolution: Aktive Anpassung an unbekannte Umgebungen mit selbstentwickelten parallelen Netzwerken.
Infix Verlag, St. Augustin, Germany 1992 |
| 1990 |
|---|
| 1 | | Byoung-Tak Zhang,
Yung Taek Kim:
Morphological Analysis and Synthesis by Automated Discovery and Acquisition of Linguistic Rules.
COLING 1990: 431-436 |
