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Saso Dzeroski
Saso Dzeroski
Jozef Stefan Institute, Dept. of Knowledge Technologies
Verified email at ijs.si - Homepage
Title
Cited by
Cited by
Year
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
19312007
Inductive Logic Programming.
N Lavrac, S Dzeroski
Ellis Horwood; http://www-ai.ijs.si/SasoDzeroski/ILPBook/ILPbook.pdf, 1994
14191994
Is combining classifiers with stacking better than selecting the best one?
S Džeroski, B Ženko
Machine learning 54 (3), 255-273, 2004
9652004
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
9042013
Relational data mining
S Džeroski
Data mining and knowledge discovery handbook, 887-911, 2009
8852009
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
8092012
Decision trees for hierarchical multi-label classification
C Vens, J Struyf, L Schietgat, S Džeroski, H Blockeel
Machine learning 73 (2), 185-214, 2008
7292008
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, ...
6291991
Relational reinforcement learning
S Džeroski, L De Raedt, K Driessens
Machine learning 43 (1), 7-52, 2001
4842001
Multi-relational data mining: an introduction
S Džeroski
ACM SIGKDD Explorations Newsletter 5 (1), 1-16, 2003
3742003
Learning model trees from evolving data streams
E Ikonomovska, J Gama, S Džeroski
Data mining and knowledge discovery 23 (1), 128-168, 2011
3232011
Learning nonrecursive definitions of relations with LINUS
N Lavrač, S Džeroski, M Grobelnik
European working session on learning, 265-281, 1991
2871991
Combining classifiers with meta decision trees
L Todorovski, S Džeroski
Machine learning 50 (3), 223-249, 2003
2672003
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
2592007
Tree ensembles for predicting structured outputs
D Kocev, C Vens, J Struyf, S Džeroski
Pattern Recognition 46 (3), 817-833, 2013
2492013
Ensembles of multi-objective decision trees
D Kocev, C Vens, J Struyf, S Džeroski
European conference on machine learning, 624-631, 2007
2402007
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20 (1), 1-23, 2019
2372019
First-order jk-clausal theories are PAC-learnable
L De Raedt, S Džeroski
Artificial Intelligence 70 (1), 375-392, 1994
2271994
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
2072010
Using single-and multi-target regression trees and ensembles to model a compound index of vegetation condition
D Kocev, S Džeroski, MD White, GR Newell, P Griffioen
Ecological Modelling 220 (8), 1159-1168, 2009
1912009
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