| Propositionalization approaches to relational data mining S Kramer, N Lavrač, P Flach Relational data mining, 262-291, 2001 | 410 | 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 | 345 | 2004 |
| Molecular feature mining in HIV data S Kramer, L De Raedt, C Helma Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 288 | 2001 |
| Multi instance neural networks J Ramon ML-2000 Workshop Attribute-Value and Relational Learning, 2000 | 285 | 2000 |
| The predictive toxicology challenge 2000–2001 C Helma, RD King, S Kramer, A Srinivasan Bioinformatics 17 (1), 107-108, 2001 | 284 | 2001 |
| Pitfalls of supervised feature selection P Smialowski, D Frishman, S Kramer Bioinformatics 26 (3), 440-443, 2010 | 250 | 2010 |
| 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 | 229 | 2003 |
| 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 | 212 | 2001 |
| Prediction of ordinal classes using regression trees S Kramer, G Widmer, B Pfahringer, M De Groeve Fundamenta Informaticae 47 (1-2), 1-13, 2001 | 196 | 2001 |
| Ensembles of nested dichotomies for multi-class problems E Frank, S Kramer Proceedings of the twenty-first international conference on Machine learning, 39, 2004 | 180 | 2004 |
| Structural regression trees S Kramer AAAI/IAAI, Vol. 1, 812-819, 1996 | 167 | 1996 |
| enviPath–The environmental contaminant biotransformation pathway resource J Wicker, T Lorsbach, M Gütlein, E Schmid, D Latino, S Kramer, K Fenner Nucleic acids research 44 (D1), D502-D508, 2016 | 160 | 2016 |
| 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 | 146 | 2001 |
| Polymeric nanoparticles with neglectable protein corona I Alberg, S Kramer, M Schinnerer, Q Hu, C Seidl, C Leps, N Drude, ... Small 16 (18), 1907574, 2020 | 143 | 2020 |
| Analyzing microarray data using quantitative association rules E Georgii, L Richter, U Rückert, S Kramer Bioinformatics 21 (suppl_2), ii123-ii129, 2005 | 138 | 2005 |
| Collaborative development of predictive toxicology applications B Hardy, N Douglas, C Helma, M Rautenberg, N Jeliazkova, V Jeliazkov, ... Journal of cheminformatics 2, 1-29, 2010 | 134 | 2010 |
| Feature construction with version spaces for biochemical application S Kramer Proceedings of the 18th international conference on machine learning, 2001, 2001 | 123 | 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), 25464, 2016 | 110 | 2016 |
| Frequent free tree discovery in graph data U Rückert, S Kramer Proceedings of the 2004 ACM symposium on Applied computing, 564-570, 2004 | 106 | 2004 |
| Ensembles of balanced nested dichotomies for multi-class problems L Dong, E Frank, S Kramer Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on …, 2005 | 105 | 2005 |
