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Saso Dzeroski
Saso Dzeroski
Jozef Stefan Institute, Dept. of Knowledge Technologies
Adresse e-mail validée de ijs.si - Page d'accueil
Titre
Citée par
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Année
Inductive Logic Programming.
N Lavrac, S Dzeroski
Ellis Horwood; http://www-ai.ijs.si/SasoDzeroski/ILPBook/ILPbook.pdf, 1994
14611994
Is combining classifiers with stacking better than selecting the best one?
S Džeroski, B Ženko
Machine learning 54 (3), 255-273, 2004
12322004
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
10882013
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
9442012
Relational data mining
S Džeroski
Data mining and knowledge discovery handbook, 887-911, 2010
9422010
Decision trees for hierarchical multi-label classification
C Vens, J Struyf, L Schietgat, S Džeroski, H Blockeel
Machine learning 73, 185-214, 2008
8512008
Relational reinforcement learning
S Džeroski, L De Raedt, K Driessens
Machine learning 43 (1), 7-52, 2001
5302001
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
3882019
Multi-relational data mining: an introduction
S Džeroski
ACM SIGKDD Explorations Newsletter 5 (1), 1-16, 2003
3862003
Learning model trees from evolving data streams
E Ikonomovska, J Gama, S Džeroski
Data mining and knowledge discovery 23, 128-168, 2011
3762011
Tree ensembles for predicting structured outputs
D Kocev, C Vens, J Struyf, S Džeroski
Pattern Recognition 46 (3), 817-833, 2013
3052013
Combining classifiers with meta decision trees
L Todorovski, S Džeroski
Machine learning 50, 223-249, 2003
2932003
Learning nonrecursive definitions of relations with LINUS
N Lavrač, S Džeroski, M Grobelnik
Machine Learning—EWSL-91: European Working Session on Learning Porto …, 1991
2891991
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
2832007
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
2792007
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
2352009
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
2332010
First-order jk-clausal theories are PAC-learnable
L De Raedt, S Džeroski
Artificial Intelligence 70 (1), 375-392, 1994
2301994
Hierarchical annotation of medical images
I Dimitrovski, D Kocev, S Loskovska, S Džeroski
Pattern Recognition 44 (10-11), 2436-2449, 2011
2142011
Predicting chemical parameters of river water quality from bioindicator data
S Džeroski, D Demšar, J Grbović
Applied Intelligence 13, 7-17, 2000
1942000
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