Saso Dzeroski
Saso Dzeroski
Jozef Stefan Institute, Dept. of Knowledge Technologies
Verified email at - Homepage
Cited by
Cited by
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
Inductive Logic Programming.
N Lavrac, S Dzeroski
Ellis Horwood;, 1994
Relational data mining
S Džeroski
Data Mining and Knowledge Discovery Handbook, 887-911, 2009
Is combining classifiers with stacking better than selecting the best one?
S Džeroski, B Ženko
Machine learning 54 (3), 255-273, 2004
A large-scale evaluation of computational protein function prediction
P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ...
Nature methods 10 (3), 221-227, 2013
An extensive experimental comparison of methods for multi-label learning
G Madjarov, D Kocev, D Gjorgjevikj, S Džeroski
Pattern recognition 45 (9), 3084-3104, 2012
Decision trees for hierarchical multi-label classification
C Vens, J Struyf, L Schietgat, S Džeroski, H Blockeel
Machine learning 73 (2), 185, 2008
The monk's problems: A performance comparison of different learning algorithms
SB Thrun, JW Bala, E Bloedorn, I Bratko, B Cestnik, J Cheng, KA De Jong, ...
Relational reinforcement learning
S Džeroski, L De Raedt, K Driessens
Machine learning 43 (1), 7-52, 2001
Multi-relational data mining: an introduction
S Džeroski
ACM SIGKDD Explorations Newsletter 5 (1), 1-16, 2003
Learning model trees from evolving data streams
E Ikonomovska, J Gama, S Džeroski
Data mining and knowledge discovery 23 (1), 128-168, 2011
Learning nonrecursive definitions of relations with LINUS
N Lavrač, S Džeroski, M Grobelnik
European Working Session on Learning, 265-281, 1991
Combining classifiers with meta decision trees
L Todorovski, S Džeroski
Machine learning 50 (3), 223-249, 2003
Repetitive interpolation: A robust algorithm for DTM generation from Aerial Laser Scanner Data in forested terrain
A Kobler, N Pfeifer, P Ogrinc, L Todorovski, K Oštir, S Džeroski
Remote sensing of environment 108 (1), 9-23, 2007
Tree ensembles for predicting structured outputs
D Kocev, C Vens, J Struyf, S Džeroski
Pattern Recognition 46 (3), 817-833, 2013
First-order jk-clausal theories are PAC-learnable
L De Raedt, S Džeroski
Artificial Intelligence 70 (1), 375-392, 1994
Ensembles of multi-objective decision trees
D Kocev, C Vens, J Struyf, S Džeroski
European conference on machine learning, 624-631, 2007
Predicting gene function using hierarchical multi-label decision tree ensembles
L Schietgat, C Vens, J Struyf, H Blockeel, D Kocev, S Džeroski
BMC bioinformatics 11 (1), 1-14, 2010
Decision trees for hierarchical multilabel classification: A case study in functional genomics
H Blockeel, L Schietgat, J Struyf, S Džeroski, A Clare
European conference on principles of data mining and knowledge discovery, 18-29, 2006
Supporting discovery in medicine by association rule mining in Medline and UMLS
D Hristovski, J Stare, B Peterlin, S Dzeroski
MEDINFO 2001, 1344-1348, 2001
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