Propositionalization approaches to relational data mining S Kramer, N Lavrač, P Flach Relational data mining, 262-291, 2001 | 370 | 2001 |
Molecular feature mining in HIV data S Kramer, L De Raedt, C Helma Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 285 | 2001 |
Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds C Helma, T Cramer, S Kramer, L De Raedt Journal of chemical information and computer sciences 44 (4), 1402-1411, 2004 | 227 | 2004 |
The levelwise version space algorithm and its application to molecular fragment finding L De Raedt, S Kramer International Joint Conference on Artificial Intelligence 17 (1), 853-862, 2001 | 204 | 2001 |
The predictive toxicology challenge 2000–2001 C Helma, RD King, S Kramer, A Srinivasan Bioinformatics 17 (1), 107-108, 2001 | 182 | 2001 |
Pitfalls of supervised feature selection P Smialowski, D Frishman, S Kramer Bioinformatics 26 (3), 440-443, 2010 | 174 | 2010 |
Prediction of ordinal classes using regression trees S Kramer, G Widmer, B Pfahringer, M De Groeve Fundamenta Informaticae 47 (1-2), 1-13, 2001 | 162 | 2001 |
Structural regression trees S Kramer AAAI/IAAI, Vol. 1, 812-819, 1996 | 157 | 1996 |
Ensembles of nested dichotomies for multi-class problems E Frank, S Kramer Proceedings of the twenty-first international conference on Machine learning, 39, 2004 | 152 | 2004 |
Statistical evaluation of the predictive toxicology challenge 2000–2001 H Toivonen, A Srinivasan, RD King, S Kramer, C Helma Bioinformatics 19 (10), 1183-1193, 2003 | 136 | 2003 |
Analyzing microarray data using quantitative association rules E Georgii, L Richter, U Rückert, S Kramer Bioinformatics 21 (suppl_2), ii123-ii129, 2005 | 128 | 2005 |
Feature construction with version spaces for biochemical applications S Kramer, LD Raedt Proceedings of the eighteenth international conference on machine learning …, 2001 | 123 | 2001 |
Collaborative development of predictive toxicology applications B Hardy, N Douglas, C Helma, M Rautenberg, N Jeliazkova, V Jeliazkov, ... Journal of cheminformatics 2 (1), 1-29, 2010 | 120 | 2010 |
Data quality in predictive toxicology: reproducibility of rodent carcinogenicity experiments. E Gottmann, S Kramer, B Pfahringer, C Helma Environmental Health Perspectives 109 (5), 509-514, 2001 | 112 | 2001 |
Frequent free tree discovery in graph data U Rückert, S Kramer Proceedings of the 2004 ACM symposium on Applied computing, 564-570, 2004 | 100 | 2004 |
Ensembles of balanced nested dichotomies for multi-class problems L Dong, E Frank, S Kramer European conference on principles of data mining and knowledge discovery, 84-95, 2005 | 93 | 2005 |
A new representation for protein secondary structure prediction based on frequent patterns F Birzele, S Kramer Bioinformatics 22 (21), 2628-2634, 2006 | 82 | 2006 |
Experiments in predicting biodegradability S Džeroski, H Blockeel, B Kompare, S Kramer, B Pfahringer, W Van Laer International Conference on Inductive Logic Programming, 80-91, 1999 | 74 | 1999 |
Inducing classification and regression trees in first order logic S Kramer, G Widmer Relational Data Mining, 140-159, 2001 | 72 | 2001 |
Cinema audiences reproducibly vary the chemical composition of air during films, by broadcasting scene specific emissions on breath J Williams, C Stönner, J Wicker, N Krauter, B Derstroff, E Bourtsoukidis, ... Scientific reports 6 (1), 1-10, 2016 | 71 | 2016 |