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Title:
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William W. Cohen: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. William W. Cohen
    Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. [Citation Graph (7, 21)][DBLP]
    SIGMOD Conference, 1998, pp:201-212 [Conf]
  2. William W. Cohen
    Fast Effective Rule Induction. [Citation Graph (3, 0)][DBLP]
    ICML, 1995, pp:115-123 [Conf]
  3. William W. Cohen, Yoram Singer
    Context-sensitive Learning Methods for Text Categorization. [Citation Graph (3, 0)][DBLP]
    SIGIR, 1996, pp:307-315 [Conf]
  4. William W. Cohen
    Learning Trees and Rules with Set-Valued Features. [Citation Graph (2, 0)][DBLP]
    AAAI/IAAI, Vol. 1, 1996, pp:709-716 [Conf]
  5. William W. Cohen
    Pac-Learning a Restricted Class of Recursive Logic Programs. [Citation Graph (1, 0)][DBLP]
    AAAI, 1993, pp:86-92 [Conf]
  6. William W. Cohen, Alexander Borgida, Haym Hirsh
    Computing Least Common Subsumers in Description Logics. [Citation Graph (1, 0)][DBLP]
    AAAI, 1992, pp:754-760 [Conf]
  7. William W. Cohen
    Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem. [Citation Graph (1, 0)][DBLP]
    Machine Learning, 1992, v:8, n:, pp:167-219 [Journal]
  8. Chumki Basu, Haym Hirsh, William W. Cohen
    Recommendation as Classification: Using Social and Content-Based Information in Recommendation. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:714-720 [Conf]
  9. William W. Cohen
    Learning from Textbook Knowledge: A Case Study. [Citation Graph (0, 0)][DBLP]
    AAAI, 1990, pp:743-748 [Conf]
  10. William W. Cohen
    Cryptographic Limitations on Learning One-Clause Logic Programs. [Citation Graph (0, 0)][DBLP]
    AAAI, 1993, pp:80-85 [Conf]
  11. William W. Cohen
    Recovering Software Specifications with Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:142-148 [Conf]
  12. William W. Cohen
    Pac-Learning Nondeterminate Clauses. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:676-681 [Conf]
  13. William W. Cohen
    Recognizing Structure in Web Pages using Similarity Queries. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:59-66 [Conf]
  14. William W. Cohen, Daniel Kudenko
    Transferring and Retraining Learned Information Filters. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:583-590 [Conf]
  15. William W. Cohen, Yoram Singer
    A Simple, Fast, and Effictive Rule Learner. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:335-342 [Conf]
  16. William W. Cohen
    A Web-Based Information System that Reasons with Structured Collections of Text. [Citation Graph (0, 0)][DBLP]
    Agents, 1998, pp:400-407 [Conf]
  17. William W. Cohen
    Desiderata for Generalization-to-N Algorithms. [Citation Graph (0, 0)][DBLP]
    AII, 1992, pp:140-150 [Conf]
  18. William W. Cohen
    Extracting Information from the Web for Concept Learning and Collaborative Filtering. [Citation Graph (0, 0)][DBLP]
    ALT, 2000, pp:1-12 [Conf]
  19. Vitor Rocha de Carvalho, William W. Cohen
    Learning to Extract Signature and Reply Lines from Email. [Citation Graph (0, 0)][DBLP]
    CEAS, 2004, pp:- [Conf]
  20. Yifen Huang, Dinesh Govindaraju, Tom M. Mitchell, Vitor Rocha de Carvalho, William W. Cohen
    Inferring Ongoing Activities of Workstation Users by Clustering Email. [Citation Graph (0, 0)][DBLP]
    CEAS, 2004, pp:- [Conf]
  21. William W. Cohen
    The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:29-40 [Conf]
  22. William W. Cohen, Haym Hirsh
    Learnability of Description Logics. [Citation Graph (0, 0)][DBLP]
    COLT, 1992, pp:116-127 [Conf]
  23. William W. Cohen, Haym Hirsh
    Corrigendum for ``Learnability of Description Logics''. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:463- [Conf]
  24. William W. Cohen
    Infrastructure Components for Large-Scale Information Extraction Systems. [Citation Graph (0, 0)][DBLP]
    IAAI, 2003, pp:71-78 [Conf]
  25. William W. Cohen
    Automatically Extracting Features for Concept Learning from the Web. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:159-166 [Conf]
  26. William W. Cohen
    Generalizing Number and Learning from Multiple Examples in Explanation Based Learning. [Citation Graph (0, 0)][DBLP]
    ML, 1988, pp:256-269 [Conf]
  27. William W. Cohen
    An Analysis of Representation Shift in Concept Learning. [Citation Graph (0, 0)][DBLP]
    ML, 1990, pp:104-112 [Conf]
  28. William W. Cohen
    Learning Approximate Control Rules of High Utility. [Citation Graph (0, 0)][DBLP]
    ML, 1990, pp:268-276 [Conf]
  29. William W. Cohen
    The Generality of Overgenerality. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:490-494 [Conf]
  30. William W. Cohen
    Text Categorization and Relational Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:124-132 [Conf]
  31. William W. Cohen, Premkumar T. Devanbu
    A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:66-74 [Conf]
  32. William W. Cohen
    Efficient Pruning Methods for Separate-and-Conquer Rule Learning Systems. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:988-994 [Conf]
  33. William W. Cohen, Vitor Rocha de Carvalho
    Stacked Sequential Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:671-676 [Conf]
  34. William W. Cohen, Einat Minkov, Anthony Tomasic
    Learning to Understand Web Site Update Requests. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1028-1033 [Conf]
  35. William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg
    A Comparison of String Distance Metrics for Name-Matching Tasks. [Citation Graph (0, 0)][DBLP]
    IIWeb, 2003, pp:73-78 [Conf]
  36. Zhenzhen Kou, William W. Cohen, Robert F. Murphy
    High-recall protein entity recognition using a dictionary. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2005, pp:266-273 [Conf]
  37. William W. Cohen
    Issues in Extracting Information from the Web. [Citation Graph (0, 0)][DBLP]
    IWPT, 2001, pp:- [Conf]
  38. William W. Cohen, Henry A. Kautz, David A. McAllester
    Hardening soft information sources. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:255-259 [Conf]
  39. William W. Cohen, Haym Hirsh
    Joins that Generalize: Text Classification Using WHIRL. [Citation Graph (0, 0)][DBLP]
    KDD, 1998, pp:169-173 [Conf]
  40. William W. Cohen, Jacob Richman
    Learning to match and cluster large high-dimensional data sets for data integration. [Citation Graph (0, 0)][DBLP]
    KDD, 2002, pp:475-480 [Conf]
  41. William W. Cohen, Sunita Sarawagi
    Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:89-98 [Conf]
  42. William W. Cohen, Richard C. Wang, Robert F. Murphy
    Understanding captions in biomedical publications. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:499-504 [Conf]
  43. Vitor R. Carvalho, William W. Cohen
    Single-pass online learning: performance, voting schemes and online feature selection. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:548-553 [Conf]
  44. Zhenzhen Kou, William W. Cohen, Robert F. Murphy
    Extracting information from text and images for location proteomics. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2003, pp:2-9 [Conf]
  45. William W. Cohen, Haym Hirsh
    Learning the Classic Description Logic: Theoretical and Experimental Results. [Citation Graph (0, 0)][DBLP]
    KR, 1994, pp:121-133 [Conf]
  46. Einat Minkov, Richard C. Wang, Anthony Tomasic, William W. Cohen
    NER Systems that Suit User's Preferences: Adjusting the Recall-Precision Trade-off for Entity Extraction. [Citation Graph (0, 0)][DBLP]
    HLT-NAACL, 2006, pp:- [Conf]
  47. Einat Minkov, Richard C. Wang, William W. Cohen
    Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text. [Citation Graph (0, 0)][DBLP]
    HLT/EMNLP, 2005, pp:- [Conf]
  48. William W. Cohen
    Improving a Page Classifier with Anchor Extraction and Link Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1481-1488 [Conf]
  49. William W. Cohen, Robert E. Schapire, Yoram Singer
    Learning to Order Things. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  50. Sunita Sarawagi, William W. Cohen
    Semi-Markov Conditional Random Fields for Information Extraction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  51. Vitor Rocha de Carvalho, William W. Cohen
    On the collective classification of email "speech acts". [Citation Graph (0, 0)][DBLP]
    SIGIR, 2005, pp:345-352 [Conf]
  52. William W. Cohen
    A Demonstration of WHIRL (demonstration abstract). [Citation Graph (0, 0)][DBLP]
    SIGIR, 1999, pp:327- [Conf]
  53. Einat Minkov, William W. Cohen, Andrew Y. Ng
    Contextual search and name disambiguation in email using graphs. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2006, pp:27-34 [Conf]
  54. ChengXiang Zhai, William W. Cohen, John D. Lafferty
    Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2003, pp:10-17 [Conf]
  55. William W. Cohen
    Providing Database-like Access to the Web Using Queries Based on Textual Similarity. [Citation Graph (0, 8)][DBLP]
    SIGMOD Conference, 1998, pp:558-560 [Conf]
  56. William W. Cohen
    Some Practical Observations on Integration of Web Information. [Citation Graph (0, 0)][DBLP]
    WebDB (Informal Proceedings), 1999, pp:55-60 [Conf]
  57. William W. Cohen, Matthew Hurst, Lee S. Jensen
    A flexible learning system for wrapping tables and lists in HTML documents. [Citation Graph (0, 0)][DBLP]
    WWW, 2002, pp:232-241 [Conf]
  58. William W. Cohen
    Reasoning about Textual Similarity in a Web-Based Information Access System. [Citation Graph (0, 0)][DBLP]
    Autonomous Agents and Multi-Agent Systems, 1999, v:2, n:1, pp:65-86 [Journal]
  59. William W. Cohen
    WHIRL: A word-based information representation language. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2000, v:118, n:1-2, pp:163-196 [Journal]
  60. William W. Cohen
    Grammatically Biased Learning: Learning Logic Programs Using an Explicit Antecedent Description Language. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1994, v:68, n:2, pp:303-366 [Journal]
  61. William W. Cohen
    Pac-Learning Non-Recursive Prolog Clauses. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1995, v:79, n:1, pp:1-38 [Journal]
  62. William W. Cohen
    Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors. [Citation Graph (0, 0)][DBLP]
    Autom. Softw. Eng., 1995, v:2, n:2, pp:107-129 [Journal]
  63. William W. Cohen
    Using Distribution-Free Learning Theory to Analyze Solution Path Caching Mechan isms. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1992, v:8, n:, pp:336-375 [Journal]
  64. William W. Cohen, Wei Fan
    Web-collaborative filtering: recommending music by crawling the Web. [Citation Graph (0, 0)][DBLP]
    Computer Networks, 2000, v:33, n:1-6, pp:685-698 [Journal]
  65. William W. Cohen, Wei Fan
    Learning Page-Independent Heuristics for Extracting Data from Web Pages. [Citation Graph (0, 0)][DBLP]
    Computer Networks, 1999, v:31, n:11-16, pp:1641-1652 [Journal]
  66. Narendar Yalamanchilli, William W. Cohen
    Communication Performance of Java-Based Parallel Virtual Machines. [Citation Graph (0, 0)][DBLP]
    Concurrency - Practice and Experience, 1998, v:10, n:11-13, pp:1189-1196 [Journal]
  67. William W. Cohen
    Pac-Learning Recursive Logic Programs: Efficient Algorithms [Citation Graph (0, 0)][DBLP]
    CoRR, 1995, v:0, n:, pp:- [Journal]
  68. William W. Cohen
    Pac-learning Recursive Logic Programs: Negative Results [Citation Graph (0, 0)][DBLP]
    CoRR, 1995, v:0, n:, pp:- [Journal]
  69. William W. Cohen
    Learning and Discovering Structure in Web Pages. [Citation Graph (0, 0)][DBLP]
    IEEE Data Eng. Bull., 2003, v:26, n:3, pp:3-10 [Journal]
  70. William W. Cohen, Andrew McCallum, Dallan Quass
    Learning to Understand the Web. [Citation Graph (0, 0)][DBLP]
    IEEE Data Eng. Bull., 2000, v:23, n:3, pp:17-24 [Journal]
  71. Mikhail Bilenko, Raymond J. Mooney, William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg
    Adaptive Name Matching in Information Integration. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2003, v:18, n:5, pp:16-23 [Journal]
  72. William W. Cohen, Premkumar T. Devanbu
    Automatically Exploring Hypotheses About Fault Prediction: A Comparative Study of Inductive Logic Programming Methods. [Citation Graph (0, 0)][DBLP]
    International Journal of Software Engineering and Knowledge Engineering, 1999, v:9, n:5, pp:519-546 [Journal]
  73. Sarah Zelikovitz, William W. Cohen, Haym Hirsh
    Extending WHIRL with background knowledge for improved text classification. [Citation Graph (0, 0)][DBLP]
    Inf. Retr., 2007, v:10, n:1, pp:35-67 [Journal]
  74. William W. Cohen
    Pac-Learning Recursive Logic Programs: Efficient Algorithms. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1995, v:2, n:, pp:501-539 [Journal]
  75. Chumki Basu, Haym Hirsh, William W. Cohen, Craig G. Nevill-Manning
    Technical Paper Recommendation: A Study in Combining Multiple Information Sources. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2001, v:14, n:, pp:231-252 [Journal]
  76. William W. Cohen
    Pac-learning Recursive Logic Programs: Negative Results. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1995, v:2, n:, pp:541-573 [Journal]
  77. William W. Cohen, Robert E. Schapire, Yoram Singer
    Learning to Order Things. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1999, v:10, n:, pp:243-270 [Journal]
  78. Jaime G. Carbonell, Yiming Yang, William W. Cohen
    Special Issue of Machine Learning on Information Retrieval - Introduction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:39, n:2/3, pp:99-101 [Journal]
  79. William W. Cohen
    Creating a Memory of Casual Relationships (Book Review). [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1993, v:10, n:, pp:179-183 [Journal]
  80. William W. Cohen
    Incremental Abductive EBL. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:15, n:1, pp:5-24 [Journal]
  81. William W. Cohen
    Hardness Results for Learning First-Order Representations and Programming by Demonstration. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1998, v:30, n:1, pp:57-87 [Journal]
  82. William W. Cohen, Haym Hirsh
    The Learnability of Description Logics with Equality Constraints. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:17, n:2-3, pp:169-199 [Journal]
  83. William W. Cohen, C. David Page Jr.
    Polynomial Learnability and Inductive Logic Programming: Methods and Results. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 1995, v:13, n:3&4, pp:369-409 [Journal]
  84. William W. Cohen
    Adaptive mapping and navigation by teams of simple robots. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1996, v:18, n:4, pp:411-434 [Journal]
  85. Karen A. Bartlett, William W. Cohen, Aart J. de Geus, Gary D. Hachtel
    Synthesis and Optimization of Multilevel Logic under Timing Constraints. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. on CAD of Integrated Circuits and Systems, 1986, v:5, n:4, pp:582-596 [Journal]
  86. William W. Cohen
    Data integration using similarity joins and a word-based information representation language. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 2000, v:18, n:3, pp:288-321 [Journal]
  87. William W. Cohen, Yoram Singer
    Context-Sensitive Learning Methods for Text Categorization. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 1999, v:17, n:2, pp:141-173 [Journal]
  88. Vitor R. Carvalho, William W. Cohen
    Preventing Information Leaks in Email. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  89. Zhenzhen Kou, William W. Cohen
    Stacked Graphical Models for Efficient Inference in Markov Random Fields. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  90. Pradeep Ravikumar, William W. Cohen
    A Hierarchical Graphical Model for Record Linkage. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:454-461 [Conf]
  91. Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger
    Evaluating a Simulated Student Using Real Students Data for Training and Testing. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2007, pp:107-116 [Conf]

  92. Integrating Transfer Learning in Synthetic Student. [Citation Graph (, )][DBLP]


  93. Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. [Citation Graph (, )][DBLP]


  94. Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation. [Citation Graph (, )][DBLP]


  95. Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. [Citation Graph (, )][DBLP]


  96. Activity-centred Search in Email. [Citation Graph (, )][DBLP]


  97. An Email and Meeting Assistant Using Graph Walks. [Citation Graph (, )][DBLP]


  98. Discovering Leadership Roles in Email Workgroups. [Citation Graph (, )][DBLP]


  99. Intra-document structural frequency features for semi-supervised domain adaptation. [Citation Graph (, )][DBLP]


  100. Suppressing outliers in pairwise preference ranking. [Citation Graph (, )][DBLP]


  101. A Very Fast Method for Clustering Big Text Datasets. [Citation Graph (, )][DBLP]


  102. Ranking Users for Intelligent Message Addressing. [Citation Graph (, )][DBLP]


  103. Language-Independent Set Expansion of Named Entities Using the Web. [Citation Graph (, )][DBLP]


  104. Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. [Citation Graph (, )][DBLP]


  105. Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. [Citation Graph (, )][DBLP]


  106. A Comparative Study of Methods for Transductive Transfer Learning. [Citation Graph (, )][DBLP]


  107. Iterative Set Expansion of Named Entities Using the Web. [Citation Graph (, )][DBLP]


  108. Power Iteration Clustering. [Citation Graph (, )][DBLP]


  109. Machine Learning for Information Management: Some Promising Directions. [Citation Graph (, )][DBLP]


  110. Identifying Fluorescence Microscope Images in Online Journal Articles Using Both Image and Text Features. [Citation Graph (, )][DBLP]


  111. Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study. [Citation Graph (, )][DBLP]


  112. Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students. [Citation Graph (, )][DBLP]


  113. Learning by Teaching SimStudent. [Citation Graph (, )][DBLP]


  114. A Computational Model of Accelerated Future Learning through Feature Recognition. [Citation Graph (, )][DBLP]


  115. Joint latent topic models for text and citations. [Citation Graph (, )][DBLP]


  116. Structured correspondence topic models for mining captioned figures in biological literature. [Citation Graph (, )][DBLP]


  117. Fast query execution for retrieval models based on path-constrained random walks. [Citation Graph (, )][DBLP]


  118. Predicting Response to Political Blog Posts with Topic Models. [Citation Graph (, )][DBLP]


  119. A Stacked Graphical Model for Associating Sub-Images with Sub-Captions. [Citation Graph (, )][DBLP]


  120. Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection. [Citation Graph (, )][DBLP]


  121. Automatic Set Expansion for List Question Answering. [Citation Graph (, )][DBLP]


  122. Learning Graph Walk Based Similarity Measures for Parsed Text. [Citation Graph (, )][DBLP]


  123. Character-level Analysis of Semi-Structured Documents for Set Expansion. [Citation Graph (, )][DBLP]


  124. Learning to Classify Email into ``Speech Acts''. [Citation Graph (, )][DBLP]


  125. Semi-Supervised Classification of Network Data Using Very Few Labels. [Citation Graph (, )][DBLP]


  126. From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences. [Citation Graph (, )][DBLP]


  127. Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection. [Citation Graph (, )][DBLP]


  128. Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs. [Citation Graph (, )][DBLP]


  129. Recovering Implicit Thread Structure in Newsgroup Style Conversations. [Citation Graph (, )][DBLP]


  130. The MultiRank Bootstrap Algorithm: Self-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification. [Citation Graph (, )][DBLP]


  131. A graph-search framework for associating gene identifiers with documents. [Citation Graph (, )][DBLP]


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