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Eibe Frank: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Geoffrey Holmes, Mark Hall, Eibe Frank
    Generating Rule Sets from Model Trees. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1999, pp:1-12 [Conf]
  2. Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
    Multinomial Naive Bayes for Text Categorization Revisited. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:488-499 [Conf]
  3. Stefan Mutter, Mark Hall, Eibe Frank
    Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:538-549 [Conf]
  4. Peter Reutemann, Bernhard Pfahringer, Eibe Frank
    A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:1017-1023 [Conf]
  5. Eibe Frank, Chang Chui, Ian H. Witten
    Text Categorization Using Compression Models. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 2000, pp:555- [Conf]
  6. Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall
    Racing Committees for Large Datasets. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2002, pp:153-164 [Conf]
  7. Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl Gutwin, Craig G. Nevill-Manning
    KEA: Practical Automatic Keyphrase Extraction. [Citation Graph (0, 0)][DBLP]
    ACM DL, 1999, pp:254-255 [Conf]
  8. Eibe Frank, Mark Hall
    A Simple Approach to Ordinal Classification. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:145-156 [Conf]
  9. Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall
    Multiclass Alternating Decision Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:161-172 [Conf]
  10. Niels Landwehr, Mark Hall, Eibe Frank
    Logistic Model Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:241-252 [Conf]
  11. Nils Weidmann, Eibe Frank, Bernhard Pfahringer
    A Two-Level Learning Method for Generalized Multi-instance Problems. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:468-479 [Conf]
  12. Eibe Frank, Stefan Kramer
    Ensembles of nested dichotomies for multi-class problems. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  13. Eibe Frank, Ian H. Witten
    Generating Accurate Rule Sets Without Global Optimization. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:144-151 [Conf]
  14. Eibe Frank, Ian H. Witten
    Using a Permutation Test for Attribute Selection in Decision Trees. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:152-160 [Conf]
  15. Eibe Frank, Ian H. Witten
    Making Better Use of Global Discretization. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:115-123 [Conf]
  16. Eibe Frank, Gordon W. Paynter, Ian H. Witten, Carl Gutwin, Craig G. Nevill-Manning
    Domain-Specific Keyphrase Extraction. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:668-673 [Conf]
  17. Stefan Kramer, Eibe Frank
    Bottom-Up Propositionalization. [Citation Graph (0, 0)][DBLP]
    ILP Work-in-progress reports, 2000, pp:- [Conf]
  18. Remco R. Bouckaert, Eibe Frank
    Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:3-12 [Conf]
  19. Eibe Frank, Bernhard Pfahringer
    Improving on Bagging with Input Smearing. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:97-106 [Conf]
  20. Xin Xu, Eibe Frank
    Logistic Regression and Boosting for Labeled Bags of Instances. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:272-281 [Conf]
  21. Andrew Turpin, Eibe Frank, Mark Hall, Ian H. Witten, Chris A. Johnson
    Determining Progression in Glaucoma Using Visual Fields. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:136-147 [Conf]
  22. Lin Dong, Eibe Frank, Stefan Kramer
    Ensembles of Balanced Nested Dichotomies for Multi-class Problems. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:84-95 [Conf]
  23. Eibe Frank, Remco R. Bouckaert
    Naive Bayes for Text Classification with Unbalanced Classes. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:503-510 [Conf]
  24. Eibe Frank, Mark Hall
    Visualizing Class Probability Estimators. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:168-179 [Conf]
  25. Marc Sumner, Eibe Frank, Mark A. Hall
    Speeding Up Logistic Model Tree Induction. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:675-683 [Conf]
  26. Gabi Schmidberger, Eibe Frank
    Unsupervised Discretization Using Tree-Based Density Estimation. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:240-251 [Conf]
  27. Eibe Frank, Mark Hall, Bernhard Pfahringer
    Locally Weighted Naive Bayes. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:249-256 [Conf]
  28. Eibe Frank, Mark Hall, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten
    Data mining in bioinformatics using Weka. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:15, pp:2479-2481 [Journal]
  29. Yu Wang, Igor V. Tetko, Mark A. Hall, Eibe Frank, Axel Facius, Klaus F. X. Mayer, Hans-Werner Mewes
    Gene selection from microarray data for cancer classification - a machine learning approach. [Citation Graph (0, 0)][DBLP]
    Computational Biology and Chemistry, 2005, v:29, n:1, pp:37-46 [Journal]
  30. Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl Gutwin, Craig G. Nevill-Manning
    KEA: Practical Automatic Keyphrase Extraction [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  31. Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten
    Interactive machine learning: letting users build classifiers. [Citation Graph (0, 0)][DBLP]
    Int. J. Hum.-Comput. Stud., 2001, v:55, n:3, pp:281-292 [Journal]
  32. Eibe Frank, Gordon W. Paynter
    Predicting Library of Congress classifications from Library of Congress subject headings. [Citation Graph (0, 0)][DBLP]
    JASIST, 2004, v:55, n:3, pp:214-227 [Journal]
  33. Eibe Frank, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten
    Naive Bayes for Regression (Technical Note). [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:41, n:1, pp:5-25 [Journal]
  34. Eibe Frank, Yong Wang, Stuart Inglis, Geoffrey Holmes, Ian H. Witten
    Using Model Trees for Classification. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1998, v:32, n:1, pp:63-76 [Journal]
  35. Niels Landwehr, Mark Hall, Eibe Frank
    Logistic Model Trees. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:59, n:1-2, pp:161-205 [Journal]
  36. Ashraf M. Kibriya, Eibe Frank
    An Empirical Comparison of Exact Nearest Neighbour Algorithms. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:140-151 [Conf]

  37. Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships. [Citation Graph (, )][DBLP]


  38. Additive Regression Applied to a Large-Scale Collaborative Filtering Problem. [Citation Graph (, )][DBLP]


  39. Revisiting Multiple-Instance Learning Via Embedded Instance Selection. [Citation Graph (, )][DBLP]


  40. Discriminating Against New Classes: One-class versus Multi-class Classification. [Citation Graph (, )][DBLP]


  41. Combining Naive Bayes and Decision Tables. [Citation Graph (, )][DBLP]


  42. Clustering Documents with Active Learning Using Wikipedia. [Citation Graph (, )][DBLP]


  43. Analysing chromatographic data using data mining to monitor petroleum content in water. [Citation Graph (, )][DBLP]


  44. Clustering Documents Using a Wikipedia-Based Concept Representation. [Citation Graph (, )][DBLP]


  45. Fast Perceptron Decision Tree Learning from Evolving Data Streams. [Citation Graph (, )][DBLP]


  46. One-Class Classification by Combining Density and Class Probability Estimation. [Citation Graph (, )][DBLP]


  47. Classifier Chains for Multi-label Classification. [Citation Graph (, )][DBLP]


  48. Large-scale attribute selection using wrappers. [Citation Graph (, )][DBLP]


  49. Conditional Density Estimation with Class Probability Estimators. [Citation Graph (, )][DBLP]


  50. Human-competitive tagging using automatic keyphrase extraction. [Citation Graph (, )][DBLP]


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