Bernard Ženko
Cited by
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Is combining classifiers with stacking better than selecting the best one?
S Džeroski, B Ženko
Machine learning 54 (3), 255-273, 2004
Is combining classifiers better than selecting the best one?
S Džeroski, B Ženko
International Conference on Machine Learning 2002, 123-130, 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
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
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
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
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
Learning predictive clustering rules
B Ženko, S Džeroski, J Struyf
International Workshop on Knowledge Discovery in Inductive Databases 3933 …, 2005
Stacking with multi-response model trees
S Džeroski, B Ženko
International workshop on multiple classifier systems 2364, 201-211, 2002
Speeding-up hoeffding-based regression trees with options
E Ikonomovska, J Gama, B Ženko, S Džeroski
International Conference on Machine Learning, 537-544, 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
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
Ensemble methods in machine learning
S Džeroski, P Panov, B Ženko
Encyclopedia of Complexity and Systems Science 6, 5317-5325, 2009
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
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
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
Rule ensembles for multi-target regression
T Aho, B Ženko, S Džeroski
IEEE International Conference on Data Mining, 21-30, 2009
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
Learning classification rules for multiple target attributes
B Ženko, S Džeroski
Pacific-Asia Conference on Knowledge Discovery and Data Mining 5012, 454-465, 2008
Modelling forest growing stock from inventory data: A data mining approach
M Debeljak, A Poljanec, B Ženko
Ecological indicators 41, 30-39, 2014
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