2009 | ||
---|---|---|
45 | EE | Anna Huang, David N. Milne, Eibe Frank, Ian H. Witten: Clustering Documents Using a Wikipedia-Based Concept Representation. PAKDD 2009: 628-636 |
2008 | ||
44 | EE | James R. Foulds, Eibe Frank: Revisiting Multiple-Instance Learning Via Embedded Instance Selection. Australasian Conference on Artificial Intelligence 2008: 300-310 |
43 | EE | Kathryn Hempstalk, Eibe Frank: Discriminating Against New Classes: One-class versus Multi-class Classification. Australasian Conference on Artificial Intelligence 2008: 325-336 |
42 | EE | Eibe Frank, Mark Hall: Additive Regression Applied to a Large-Scale Collaborative Filtering Problem. Australasian Conference on Artificial Intelligence 2008: 435-446 |
41 | EE | Kathryn Hempstalk, Eibe Frank, Ian H. Witten: One-Class Classification by Combining Density and Class Probability Estimation. ECML/PKDD (1) 2008: 505-519 |
40 | Mark Hall, Eibe Frank: Combining Naive Bayes and Decision Tables. FLAIRS Conference 2008: 318-319 | |
39 | EE | Anna Huang, David N. Milne, Eibe Frank, Ian H. Witten: Clustering Documents with Active Learning Using Wikipedia. ICDM 2008: 839-844 |
2007 | ||
38 | EE | Ashraf M. Kibriya, Eibe Frank: An Empirical Comparison of Exact Nearest Neighbour Algorithms. PKDD 2007: 140-151 |
2006 | ||
37 | EE | Eibe Frank, Bernhard Pfahringer: Improving on Bagging with Input Smearing. PAKDD 2006: 97-106 |
36 | EE | Eibe Frank, Remco R. Bouckaert: Naive Bayes for Text Classification with Unbalanced Classes. PKDD 2006: 503-510 |
2005 | ||
35 | EE | Gabi Schmidberger, Eibe Frank: Unsupervised Discretization Using Tree-Based Density Estimation. PKDD 2005: 240-251 |
34 | EE | Marc Sumner, Eibe Frank, Mark A. Hall: Speeding Up Logistic Model Tree Induction. PKDD 2005: 675-683 |
33 | EE | Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. PKDD 2005: 84-95 |
32 | Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer: WEKA - A Machine Learning Workbench for Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 1305-1314 | |
31 | EE | 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. Computational Biology and Chemistry 29(1): 37-46 (2005) |
30 | EE | Niels Landwehr, Mark Hall, Eibe Frank: Logistic Model Trees. Machine Learning 59(1-2): 161-205 (2005) |
2004 | ||
29 | EE | Peter Reutemann, Bernhard Pfahringer, Eibe Frank: A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners. Australian Conference on Artificial Intelligence 2004: 1017-1023 |
28 | EE | Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes: Multinomial Naive Bayes for Text Categorization Revisited. Australian Conference on Artificial Intelligence 2004: 488-499 |
27 | EE | Stefan Mutter, Mark Hall, Eibe Frank: Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining. Australian Conference on Artificial Intelligence 2004: 538-549 |
26 | EE | Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. ICML 2004 |
25 | EE | Xin Xu, Eibe Frank: Logistic Regression and Boosting for Labeled Bags of Instances. PAKDD 2004: 272-281 |
24 | EE | Remco R. Bouckaert, Eibe Frank: Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms. PAKDD 2004: 3-12 |
23 | EE | Eibe Frank, Mark Hall, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten: Data mining in bioinformatics using Weka. Bioinformatics 20(15): 2479-2481 (2004) |
22 | EE | Eibe Frank, Gordon W. Paynter: Predicting Library of Congress classifications from Library of Congress subject headings. JASIST 55(3): 214-227 (2004) |
2003 | ||
21 | EE | Niels Landwehr, Mark Hall, Eibe Frank: Logistic Model Trees. ECML 2003: 241-252 |
20 | EE | Nils Weidmann, Eibe Frank, Bernhard Pfahringer: A Two-Level Learning Method for Generalized Multi-instance Problems. ECML 2003: 468-479 |
19 | EE | Eibe Frank, Mark Hall: Visualizing Class Probability Estimators. PKDD 2003: 168-179 |
18 | Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. UAI 2003: 249-256 | |
2002 | ||
17 | EE | Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing Committees for Large Datasets. Discovery Science 2002: 153-164 |
16 | EE | Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass Alternating Decision Trees. ECML 2002: 161-172 |
2001 | ||
15 | EE | Eibe Frank, Mark Hall: A Simple Approach to Ordinal Classification. ECML 2001: 145-156 |
14 | EE | Andrew Turpin, Eibe Frank, Mark Hall, Ian H. Witten, Chris A. Johnson: Determining Progression in Glaucoma Using Visual Fields. PAKDD 2001: 136-147 |
13 | EE | Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten: Interactive machine learning: letting users build classifiers. Int. J. Hum.-Comput. Stud. 55(3): 281-292 (2001) |
2000 | ||
12 | EE | Eibe Frank, Chang Chui, Ian H. Witten: Text Categorization Using Compression Models. Data Compression Conference 2000: 555 |
11 | EE | Stefan Kramer, Eibe Frank: Bottom-Up Propositionalization. ILP Work-in-progress reports 2000 |
10 | Eibe Frank, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten: Naive Bayes for Regression (Technical Note). Machine Learning 41(1): 5-25 (2000) | |
1999 | ||
9 | Ian H. Witten, Eibe Frank: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations Morgan Kaufmann 1999 | |
8 | EE | Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl Gutwin, Craig G. Nevill-Manning: KEA: Practical Automatic Keyphrase Extraction. ACM DL 1999: 254-255 |
7 | Geoffrey Holmes, Mark Hall, Eibe Frank: Generating Rule Sets from Model Trees. Australian Joint Conference on Artificial Intelligence 1999: 1-12 | |
6 | Eibe Frank, Ian H. Witten: Making Better Use of Global Discretization. ICML 1999: 115-123 | |
5 | Eibe Frank, Gordon W. Paynter, Ian H. Witten, Carl Gutwin, Craig G. Nevill-Manning: Domain-Specific Keyphrase Extraction. IJCAI 1999: 668-673 | |
4 | EE | Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl Gutwin, Craig G. Nevill-Manning: KEA: Practical Automatic Keyphrase Extraction CoRR cs.DL/9902007: (1999) |
1998 | ||
3 | Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. ICML 1998: 144-151 | |
2 | Eibe Frank, Ian H. Witten: Using a Permutation Test for Attribute Selection in Decision Trees. ICML 1998: 152-160 | |
1 | Eibe Frank, Yong Wang, Stuart Inglis, Geoffrey Holmes, Ian H. Witten: Using Model Trees for Classification. Machine Learning 32(1): 63-76 (1998) |