| 2011 |
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| 31 | Classifier chains for multi-label classification. Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank. Machine Learning (85): 333-359 (2011). Web SearchBibTeXDownload |
| 2010 |
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| 30 | Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships. Fabian Buchwald, Tobias Girschick, Eibe Frank, Stefan Kramer. AAAI 2010. Web SearchBibTeXDownload |
| 29 | Weka-A Machine Learning Workbench for Data Mining. Eibe Frank, Mark Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, Len Trigg. Data Mining and Knowledge Discovery Handbook 2010, 1269-1277. Web SearchBibTeXDownload |
| 28 | Sentiment Knowledge Discovery in Twitter Streaming Data. Albert Bifet, Eibe Frank. Discovery Science 2010, 1-15. Web SearchBibTeXDownload |
| 27 | A Study of Hierarchical and Flat Classification of Proteins. Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan Kramer. IEEE/ACM Trans. Comput. Biology Bioinform. (7): 563-571 (2010). Web SearchBibTeXDownload |
| 26 | WEKA - Experiences with a Java Open-Source Project. Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten. Journal of Machine Learning Research (11): 2533-2541 (2010). Web SearchBibTeXDownload |
| 25 | Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer. Journal of Machine Learning Research - Proceedings Track (13): 225-240 (2010). Web SearchBibTeXDownload |
| 24 | Fast Perceptron Decision Tree Learning from Evolving Data Streams. Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank. PAKDD (2) 2010, 299-310. Web SearchBibTeXDownload |
| 2009 |
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| 23 | Large-scale attribute selection using wrappers. Martin Gutlein, Eibe Frank, Mark Hall, Andreas Karwath. CIDM 2009, 332-339. Web SearchBibTeXDownload |
| 22 | Classifier Chains for Multi-label Classification. Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank. ECML/PKDD (2) 2009, 254-269. Web SearchBibTeXDownload |
| 21 | Analysing chromatographic data using data mining to monitor petroleum content in water. Geoffrey Holmes, Dale Fletcher, Peter Reutemann, Eibe Frank. ITEE 2009, 278-290. Web SearchBibTeXDownload |
| 20 | The WEKA data mining software: an update. Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten. SIGKDD Explorations (11): 10-18 (2009). Web SearchBibTeXDownload |
| 2006 |
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| 19 | Improving on Bagging with Input Smearing. Eibe Frank, Bernhard Pfahringer. PAKDD 2006, 97-106. Web SearchBibTeXDownload |
| 2005 |
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| 18 | Gene selection from microarray data for cancer classification - a machine learning approach. Yu Wang, Igor V. Tetko, Mark A. Hall, Eibe Frank, Axel Facius, Klaus F. X. Mayer, Hans-Werner Mewes. Computational Biology and Chemistry (29): 37-46 (2005). Web SearchBibTeXDownload |
| 17 | Ensembles of Balanced Nested Dichotomies for Multi-class Problems. Lin Dong, Eibe Frank, Stefan Kramer. PKDD 2005, 84-95. Web SearchBibTeXDownload |
| 16 | WEKA - A Machine Learning Workbench for Data Mining. Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer. The Data Mining and Knowledge Discovery Handbook 2005, 1305-1314. Web SearchBibTeX |
| 2004 |
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| 15 | Multinomial Naive Bayes for Text Categorization Revisited. Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes. Australian Conference on Artificial Intelligence 2004, 488-499. Web SearchBibTeXDownload |
| 14 | A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners. Peter Reutemann, Bernhard Pfahringer, Eibe Frank. Australian Conference on Artificial Intelligence 2004, 1017-1023. Web SearchBibTeXDownload |
| 13 | Data mining in bioinformatics using Weka. Eibe Frank, Mark Hall, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten. Bioinformatics (20): 2479-2481 (2004). Web SearchBibTeXDownload |
| 12 | Ensembles of nested dichotomies for multi-class problems. Eibe Frank, Stefan Kramer. ICML 2004. Web SearchBibTeXDownload |
| 11 | Logistic Regression and Boosting for Labeled Bags of Instances. Xin Xu, Eibe Frank. PAKDD 2004, 272-281. Web SearchBibTeXDownload |
| 2003 |
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| 10 | A Two-Level Learning Method for Generalized Multi-instance Problems. Nils Weidmann, Eibe Frank, Bernhard Pfahringer. ECML 2003, 468-479. Web SearchBibTeXDownload |
| 9 | Locally Weighted Naive Bayes. Eibe Frank, Mark Hall, Bernhard Pfahringer. UAI 2003, 249-256. Web SearchBibTeXDownload |
| 2002 |
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| 8 | Racing Committees for Large Datasets. Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall. Discovery Science 2002, 153-164. Web SearchBibTeXDownload |
| 7 | Multiclass Alternating Decision Trees. Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall. ECML 2002, 161-172. Web SearchBibTeXDownload |
| 2001 |
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| 6 | Interactive machine learning: letting users build classifiers. Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten. Int. J. Hum.-Comput. Stud. (55): 281-292 (2001). Web SearchBibTeXDownload |
| 5 | Determining Progression in Glaucoma Using Visual Fields. Andrew Turpin, Eibe Frank, Mark Hall, Ian H. Witten, Chris A. Johnson. PAKDD 2001, 136-147. Web SearchBibTeXDownload |
| 2000 |
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| 4 | Bottom-Up Propositionalization. Stefan Kramer, Eibe Frank. ILP Work-in-progress reports 2000. Web SearchBibTeXDownload |
| 3 | Naive Bayes for Regression (Technical Note). Eibe Frank, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten. Machine Learning (41): 5-25 (2000). Web SearchBibTeXDownload |
| 1999 |
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| 2 | Generating Rule Sets from Model Trees. Geoffrey Holmes, Mark Hall, Eibe Frank. Australian Joint Conference on Artificial Intelligence 1999, 1-12. Web SearchBibTeXDownload |
| 1998 |
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| 1 | Using Model Trees for Classification. Eibe Frank, Yong Wang, Stuart Inglis, Geoffrey Holmes, Ian H. Witten. Machine Learning (32): 63-76 (1998). Web SearchBibTeXDownload |
