Ljupco Todorovski

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Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesVerified email at ijs.si
Nada LavracJozef Stefan InstituteVerified email at ijs.si
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolVerified email at bristol.ac.uk
Pat LangleyDirector, ISLE; Research Scientist, Stanford UniversityVerified email at stanford.edu
Nataša AtanasovaVerified email at fgg.uni-lj.si
Branko KavšekAssistant Professor of Computer Science, University of Primorska, Researcher, Josef Stefan InstituteVerified email at upr.si
Will BridewellU.S. Naval Research LaboratoryVerified email at nrl.navy.mil
Nikola SimidjievskiUniversity of Cambridge, United KingdomVerified email at cam.ac.uk
Hendrik BlockeelDepartment of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Jovan TanevskiHeidelberg University & Heidelberg University Hospital, Germany; Jožef Stefan Institute, SloveniaVerified email at uni-heidelberg.de
Bernard ŽenkoJožef Stefan InstituteVerified email at ijs.si
Dimitar HristovskiUniversity of Ljubljana, Faculty of Public AdministrationVerified email at fu.uni-lj.si
Janja VaupoticInstitut Jožef StefanVerified email at ijs.si
Katerina TaskovaSchool of Computer Science, The University of AucklandVerified email at auckland.ac.nz
mirko vintarProfessor of e-GovernmentVerified email at fu.uni-lj.si
Krištof OštirUniversity of Ljubljana, Faculty of Civil and Geodetic EngineeringVerified email at fgg.uni-lj.si
Peter KorošecProfessor of Computer Science at Jožef Stefan Institute and FAMNITVerified email at ijs.si
Anamarija LebenFakulteta za upravoVerified email at fu.uni-lj.si
Jeff ShragerConsulting Professor of Symbolic Systems, Stanford UniversityVerified email at stanford.edu
Marijan ŽuraAssociate Professor, University of Ljubljana, Faculty of Civil and Geodetic EngineeringVerified email at fgg.uni-lj.si

Ljupco Todorovski

Full Professor, University of Ljubljana, Faculty of Mathematics and Physics

Verified email at fmf.uni-lj.si - Homepage

Computer Science Artificial Intelligence Machine Learning Computational Scientific Discovery


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Subgroup discovery with CN2-SD N Lavrac, B Kavsek, P Flach, L Todorovski J. Mach. Learn. Res. 5 (2), 153-188, 2004	558*	2004
Combining classifiers with meta decision trees L Todorovski, S Dzeroski Machine learning 50 (3), 223, 2003	279	2003
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	264	2007
Discovering dynamics: from inductive logic programming to machine discovery S Dzeroski, L Todorovski Journal of Intelligent Information Systems 4, 89-108, 1995	213*	1995
Declarative bias in equation discovery S Dzeroski, L Todorovski Proceedings of the 14th International Conference on Machine Learning 951 …, 1997	179*	1997
Discovering dynamics: from inductive logic programming to machine discovery S Dzeroski, L Todorovski Journal of Intelligent Information Systems 4, 89-108, 1995	150	1995
Combining multiple models with meta decision trees L Todorovski, S Džeroski Principles of Data Mining and Knowledge Discovery: 4th European Conference …, 2000	128	2000
Application of decision trees to the analysis of soil radon data for earthquake prediction B Zmazek, L Todorovski, S Džeroski, J Vaupotič, I Kobal Applied radiation and isotopes 58 (6), 697-706, 2003	118	2003
Long-term sequelae in children treated for brain tumors: impairments, disability, and handicap M Macedoni-Lukšič, B Jereb, L Todorovski Pediatric Hematology and Oncology 20 (2), 89-101, 2003	110	2003
Computational discovery of scientific knowledge S Džeroski, P Langley, L Todorovski Computational discovery of scientific knowledge: introduction, techniques …, 2007	106*	2007
Computational discovery of scientific knowledge S Džeroski, P Langley, L Todorovski Computational discovery of scientific knowledge: introduction, techniques …, 2007	106*	2007
Reinforcement learning approach for train rescheduling on a single-track railway D Šemrov, R Marsetič, M Žura, L Todorovski, A Srdic Transportation Research Part B: Methodological 86, 250-267, 2016	105	2016
Inductive process modeling W Bridewell, P Langley, L Todorovski, S Džeroski Machine learning 71, 1-32, 2008	101	2008
Predictive performance of weighted relative accuracy L Todorovski, P Flach, N Lavrač Principles of Data Mining and Knowledge Discovery: 4th European Conference …, 2000	98	2000
Computational discovery of scientific knowledge S Džeroski, P Langley, L Todorovski Computational discovery of scientific knowledge: introduction, techniques …, 2007	93	2007
Ranking with predictive clustering trees L Todorovski, H Blockeel, S Dzeroski Proceedings of the 13th European conference on machine learning 2430, 444-455, 2002	85	2002
Integrating knowledge-driven and data-driven approaches to modeling L Todorovski, S Džeroski ecological modelling 194 (1-3), 3-13, 2006	78	2006
Radon in soil gas: How to identify anomalies caused by earthquakes B Zmazek, M Živčić, L Todorovski, S Džeroski, J Vaupotič, I Kobal Applied geochemistry 20 (6), 1106-1119, 2005	77	2005
Inducing process models from continuous data P Langley, J Sánchez, L Todorovski, S Dzeroski Proceedings of the nineteenth international conference on machine learning …, 2002	71	2002
A comparison of stacking with meta decision trees to bagging, boosting, and stacking with other methods B Zenko, L Todorovski, S Dzeroski Proceedings 2001 IEEE International Conference on Data Mining, 669-670, 2001	63	2001

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