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Saso Dzeroski
Saso Dzeroski
Jozef Stefan Institute, Dept. of Knowledge Technologies
Preverjeni e-poštni naslov na ijs.si - Domača stran
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Leto
Inductive Logic Programming.
N Lavrac, S Dzeroski
Ellis Horwood; http://www-ai.ijs.si/SasoDzeroski/ILPBook/ILPbook.pdf, 1994
14411994
Is combining classifiers with stacking better than selecting the best one?
S Džeroski, B Ženko
Machine learning 54 (3), 255-273, 2004
11822004
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
10352013
Relational data mining
S Džeroski
Data mining and knowledge discovery handbook, 887-911, 2010
9332010
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
9142012
Decision trees for hierarchical multi-label classification
C Vens, J Struyf, L Schietgat, S Džeroski, H Blockeel
Machine learning 73, 185-214, 2008
8312008
Relational reinforcement learning
S Džeroski, L De Raedt, K Driessens
Machine learning 43 (1), 7-52, 2001
5202001
Multi-relational data mining: an introduction
S Džeroski
ACM SIGKDD Explorations Newsletter 5 (1), 1-16, 2003
3802003
Learning model trees from evolving data streams
E Ikonomovska, J Gama, S Džeroski
Data mining and knowledge discovery 23, 128-168, 2011
3622011
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, 1-23, 2019
3512019
Tree ensembles for predicting structured outputs
D Kocev, C Vens, J Struyf, S Džeroski
Pattern Recognition 46 (3), 817-833, 2013
2912013
Combining classifiers with meta decision trees
L Todorovski, S Džeroski
Machine learning 50, 223-249, 2003
2912003
Learning nonrecursive definitions of relations with LINUS
N Lavrač, S Džeroski, M Grobelnik
Machine Learning—EWSL-91: European Working Session on Learning Porto …, 1991
2841991
Ensembles of multi-objective decision trees
D Kocev, C Vens, J Struyf, S Džeroski
Machine Learning: ECML 2007: 18th European Conference on Machine Learning …, 2007
2782007
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
2762007
First-order jk-clausal theories are PAC-learnable
L De Raedt, S Džeroski
Artificial Intelligence 70 (1), 375-392, 1994
2321994
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
2292009
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, 1-14, 2010
2272010
Hierarchical annotation of medical images
I Dimitrovski, D Kocev, S Loskovska, S Džeroski
Pattern Recognition 44 (10-11), 2436-2449, 2011
2082011
Decision trees for hierarchical multilabel classification: A case study in functional genomics
H Blockeel, L Schietgat, J Struyf, S Džeroski, A Clare
Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on …, 2006
1902006
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