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Eibe Frank

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2009
45EEAnna Huang, David N. Milne, Eibe Frank, Ian H. Witten: Clustering Documents Using a Wikipedia-Based Concept Representation. PAKDD 2009: 628-636
2008
44EEJames R. Foulds, Eibe Frank: Revisiting Multiple-Instance Learning Via Embedded Instance Selection. Australasian Conference on Artificial Intelligence 2008: 300-310
43EEKathryn Hempstalk, Eibe Frank: Discriminating Against New Classes: One-class versus Multi-class Classification. Australasian Conference on Artificial Intelligence 2008: 325-336
42EEEibe Frank, Mark Hall: Additive Regression Applied to a Large-Scale Collaborative Filtering Problem. Australasian Conference on Artificial Intelligence 2008: 435-446
41EEKathryn 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
39EEAnna Huang, David N. Milne, Eibe Frank, Ian H. Witten: Clustering Documents with Active Learning Using Wikipedia. ICDM 2008: 839-844
2007
38EEAshraf M. Kibriya, Eibe Frank: An Empirical Comparison of Exact Nearest Neighbour Algorithms. PKDD 2007: 140-151
2006
37EEEibe Frank, Bernhard Pfahringer: Improving on Bagging with Input Smearing. PAKDD 2006: 97-106
36EEEibe Frank, Remco R. Bouckaert: Naive Bayes for Text Classification with Unbalanced Classes. PKDD 2006: 503-510
2005
35EEGabi Schmidberger, Eibe Frank: Unsupervised Discretization Using Tree-Based Density Estimation. PKDD 2005: 240-251
34EEMarc Sumner, Eibe Frank, Mark A. Hall: Speeding Up Logistic Model Tree Induction. PKDD 2005: 675-683
33EELin 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
31EEYu 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)
30EENiels Landwehr, Mark Hall, Eibe Frank: Logistic Model Trees. Machine Learning 59(1-2): 161-205 (2005)
2004
29EEPeter 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
28EEAshraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes: Multinomial Naive Bayes for Text Categorization Revisited. Australian Conference on Artificial Intelligence 2004: 488-499
27EEStefan 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
26EEEibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. ICML 2004
25EEXin Xu, Eibe Frank: Logistic Regression and Boosting for Labeled Bags of Instances. PAKDD 2004: 272-281
24EERemco R. Bouckaert, Eibe Frank: Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms. PAKDD 2004: 3-12
23EEEibe Frank, Mark Hall, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten: Data mining in bioinformatics using Weka. Bioinformatics 20(15): 2479-2481 (2004)
22EEEibe Frank, Gordon W. Paynter: Predicting Library of Congress classifications from Library of Congress subject headings. JASIST 55(3): 214-227 (2004)
2003
21EENiels Landwehr, Mark Hall, Eibe Frank: Logistic Model Trees. ECML 2003: 241-252
20EENils Weidmann, Eibe Frank, Bernhard Pfahringer: A Two-Level Learning Method for Generalized Multi-instance Problems. ECML 2003: 468-479
19EEEibe 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
17EEEibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing Committees for Large Datasets. Discovery Science 2002: 153-164
16EEGeoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass Alternating Decision Trees. ECML 2002: 161-172
2001
15EEEibe Frank, Mark Hall: A Simple Approach to Ordinal Classification. ECML 2001: 145-156
14EEAndrew Turpin, Eibe Frank, Mark Hall, Ian H. Witten, Chris A. Johnson: Determining Progression in Glaucoma Using Visual Fields. PAKDD 2001: 136-147
13EEMalcolm 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
12EEEibe Frank, Chang Chui, Ian H. Witten: Text Categorization Using Compression Models. Data Compression Conference 2000: 555
11EEStefan 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
8EEIan 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
4EEIan 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)

Coauthor Index

1Remco R. Bouckaert [24] [36]
2Chang Chui [12]
3Lin Dong [33]
4Axel Facius [31]
5James R. Foulds [44]
6Carl Gutwin [4] [5] [8]
7Mark A. Hall (Mark Hall) [7] [13] [14] [15] [16] [17] [18] [19] [21] [23] [27] [30] [31] [32] [34] [40] [42]
8Kathryn Hempstalk [41] [43]
9Geoffrey Holmes [1] [7] [10] [13] [16] [17] [23] [28] [32]
10Anna Huang [39] [45]
11Stuart Inglis [1]
12Chris A. Johnson [14]
13Ashraf M. Kibriya [28] [38]
14Richard Kirkby [16] [17] [32]
15Stefan Kramer [11] [26] [33]
16Niels Landwehr [21] [30]
17Klaus F. X. Mayer [31]
18Hans-Werner Mewes [31]
19David N. Milne [39] [45]
20Stefan Mutter [27]
21Craig G. Nevill-Manning [4] [5] [8]
22Gordon W. Paynter [4] [5] [8] [22]
23Bernhard Pfahringer [16] [18] [20] [28] [29] [32] [37]
24Peter Reutemann [29]
25Gabi Schmidberger [35]
26Marc Sumner [34]
27Igor V. Tetko [31]
28Leonard E. Trigg (Len Trigg) [10] [23]
29Andrew Turpin [14]
30Yong Wang [1]
31Yu Wang [31]
32Malcolm Ware [13]
33Nils Weidmann [20]
34Ian H. Witten [1] [2] [3] [4] [5] [6] [8] [9] [10] [12] [13] [14] [23] [39] [41] [45]
35Xin Xu [25]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)