Eibe Frank

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)

Coauthor Index

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

Colors in the list of coauthors