Inductive Logic Programming. N Lavrac, S Dzeroski Ellis Horwood; http://www-ai.ijs.si/SasoDzeroski/ILPBook/ILPbook.pdf, 1994 | 1456 | 1994 |
Is combining classifiers with stacking better than selecting the best one? S Džeroski, B Ženko Machine learning 54 (3), 255-273, 2004 | 1204 | 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 | 1057 | 2013 |
Relational data mining S Džeroski Data mining and knowledge discovery handbook, 887-911, 2010 | 936 | 2010 |
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 | 929 | 2012 |
Decision trees for hierarchical multi-label classification C Vens, J Struyf, L Schietgat, S Džeroski, H Blockeel Machine learning 73, 185-214, 2008 | 836 | 2008 |
Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43 (1), 7-52, 2001 | 523 | 2001 |
Multi-relational data mining: an introduction S Džeroski ACM SIGKDD Explorations Newsletter 5 (1), 1-16, 2003 | 385 | 2003 |
Learning model trees from evolving data streams E Ikonomovska, J Gama, S Džeroski Data mining and knowledge discovery 23, 128-168, 2011 | 368 | 2011 |
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 | 362 | 2019 |
Tree ensembles for predicting structured outputs D Kocev, C Vens, J Struyf, S Džeroski Pattern Recognition 46 (3), 817-833, 2013 | 298 | 2013 |
Combining classifiers with meta decision trees L Todorovski, S Džeroski Machine learning 50, 223-249, 2003 | 288 | 2003 |
Learning nonrecursive definitions of relations with LINUS N Lavrač, S Džeroski, M Grobelnik Machine Learning—EWSL-91: European Working Session on Learning Porto …, 1991 | 287 | 1991 |
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 | 280 | 2007 |
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 | 277 | 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, 1-14, 2010 | 231 | 2010 |
First-order jk-clausal theories are PAC-learnable L De Raedt, S Džeroski Artificial Intelligence 70 (1), 375-392, 1994 | 230 | 1994 |
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 | 228 | 2009 |
Hierarchical annotation of medical images I Dimitrovski, D Kocev, S Loskovska, S Džeroski Pattern Recognition 44 (10-11), 2436-2449, 2011 | 211 | 2011 |
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 | 193 | 2006 |