| Inductive Logic Programming. N Lavrac, S Dzeroski Ellis Horwood; http://www-ai.ijs.si/SasoDzeroski/ILPBook/ILPbook.pdf, 1994 | 1490 | 1994 |
| Is combining classifiers with stacking better than selecting the best one? S Džeroski, B Ženko Machine learning 54 (3), 255-273, 2004 | 1358 | 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 | 1255 | 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 | 1015 | 2012 |
| Relational data mining S Džeroski Data mining and knowledge discovery handbook, 887-911, 2010 | 970 | 2010 |
| Decision trees for hierarchical multi-label classification C Vens, J Struyf, L Schietgat, S Džeroski, H Blockeel Machine learning 73 (2), 185-214, 2008 | 929 | 2008 |
| Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43 (1), 7-52, 2001 | 562 | 2001 |
| 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), 244, 2019 | 527 | 2019 |
| Learning model trees from evolving data streams E Ikonomovska, J Gama, S Džeroski Data mining and knowledge discovery 23 (1), 128-168, 2011 | 414 | 2011 |
| Multi-relational data mining: an introduction S Džeroski ACM SIGKDD Explorations Newsletter 5 (1), 1-16, 2003 | 383 | 2003 |
| Tree ensembles for predicting structured outputs D Kocev, C Vens, J Struyf, S Džeroski Pattern Recognition 46 (3), 817-833, 2013 | 335 | 2013 |
| Ensembles of multi-objective decision trees D Kocev, C Vens, J Struyf, S Džeroski European conference on machine learning, 624-631, 2007 | 309 | 2007 |
| Combining classifiers with meta decision trees L Todorovski, S Džeroski Machine learning 50 (3), 223-249, 2003 | 301 | 2003 |
| Learning nonrecursive definitions of relations with LINUS N Lavrač, S Džeroski, M Grobelnik European working session on learning, 265-281, 1991 | 291 | 1991 |
| 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 | 288 | 2007 |
| 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 | 266 | 2009 |
| 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), 2, 2010 | 248 | 2010 |
| Hierarchical annotation of medical images I Dimitrovski, D Kocev, S Loskovska, S Džeroski Pattern Recognition 44 (10-11), 2436-2449, 2011 | 240 | 2011 |
| First-order jk-clausal theories are PAC-learnable L De Raedt, S Džeroski Artificial Intelligence 70 (1), 375-392, 1994 | 232 | 1994 |
| Comprehensive comparative study of multi-label classification methods J Bogatinovski, L Todorovski, S Džeroski, D Kocev arXiv preprint arXiv:2102.07113, 2021 | 229 | 2021 |
Ljupco TodorovskiFull Professor, University of Ljubljana, Faculty of Mathematics and PhysicsVerified email at fmf.uni-lj.si
