| Is combining classifiers with stacking better than selecting the best one? S Džeroski, B Ženko Machine learning 54 (3), 255-273, 2004 | 1124 | 2004 |
| Is combining classifiers better than selecting the best one? S Džeroski, B Ženko International Conference on Machine Learning 2002, 123-130, 2002 | 1124* | 2002 |
| Multi-target regression with rule ensembles T Aho, B Ženko, S Džeroski, T Elomaa Journal of Machine Learning Research 13 (Aug), 2367-2407, 2012 | 111 | 2012 |
| Yeasts and yeast-like fungi in tap water and groundwater, and their transmission to household appliances MN Babič, P Zalar, B Ženko, S Džeroski, N Gunde-Cimerman Fungal Ecology 20, 30-39, 2016 | 88 | 2016 |
| Candida and Fusarium species known as opportunistic human pathogens from customer-accessible parts of residential washing machines MN Babič, P Zalar, B Ženko, HJ Schroers, S Džeroski, ... Fungal biology 119 (2-3), 95-113, 2015 | 82 | 2015 |
| Gut microbiota patterns associated with colonization of different Clostridium difficile ribotypes J Škraban, S Džeroski, B Ženko, D Mongus, S Gangl, M Rupnik PloS one 8 (2), e58005, 2013 | 78 | 2013 |
| Learning predictive clustering rules B Ženko, S Džeroski, J Struyf International Workshop on Knowledge Discovery in Inductive Databases 3933 …, 2005 | 77 | 2005 |
| A comparison of stacking with meta decision trees to bagging, boosting, and stacking with other methods B Ženko, L Todorovski, S Džeroski IEEE International Conference on Data Mining, 669-670, 2001 | 70 | 2001 |
| Stacking with multi-response model trees S Džeroski, B Ženko International workshop on multiple classifier systems 2364, 201-211, 2002 | 59 | 2002 |
| Personality traits in miners with past occupational elemental mercury exposure DK Grum, AB Kobal, N Arnerič, M Horvat, B Ženko, S Džeroski, J Osredkar Environmental health perspectives 114 (2), 290-296, 2006 | 52 | 2006 |
| Speeding-up hoeffding-based regression trees with options E Ikonomovska, J Gama, B Ženko, S Džeroski International Conference on Machine Learning, 537-544, 2011 | 51 | 2011 |
| Estimating the risk of fire outbreaks in the natural environment D Stojanova, A Kobler, P Ogrinc, B Ženko, S Džeroski Data mining and knowledge discovery 24 (2), 411-442, 2012 | 46 | 2012 |
| Ensemble methods in machine learning S Džeroski, P Panov, B Ženko Encyclopedia of Complexity and Systems Science 6, 5317-5325, 2009 | 43* | 2009 |
| Neuroblastoma tumorigenesis is regulated through the Nm23-H1/h-Prune C-terminal interaction M Carotenuto, E Pedone, D Diana, P De Antonellis, S Džeroski, N Marino, ... Scientific reports 3 (1351), 1-11, 2013 | 42 | 2013 |
| A study of overfitting in optimization of a manufacturing quality control procedure T Tušar, K Gantar, V Koblar, B Ženko, B Filipič Applied Soft Computing 59, 77-87, 2017 | 39 | 2017 |
| Rule ensembles for multi-target regression T Aho, B Ženko, S Džeroski IEEE International Conference on Data Mining, 21-30, 2009 | 32 | 2009 |
| Clusters of male and female Alzheimer’s disease patients in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database D Gamberger, B Ženko, A Mitelpunkt, N Shachar, N Lavrač Brain informatics 3 (3), 169, 2016 | 30 | 2016 |
| Learning classification rules for multiple target attributes B Ženko, S Džeroski Pacific-Asia Conference on Knowledge Discovery and Data Mining 5012, 454-465, 2008 | 27 | 2008 |
| Changes of poultry faecal microbiota associated with Clostridium difficile colonisation J Škraban, S Džeroski, B Ženko, L Tušar, M Rupnik Veterinary microbiology 165 (3-4), 416-424, 2013 | 26 | 2013 |
| Metabags: Bagged meta-decision trees for regression J Khiari, L Moreira-Matias, A Shaker, B Ženko, S Džeroski European conference on machine learning and knowledge discovery in databases …, 2018 | 23 | 2018 |
Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesVerified email at ijs.si
