Panče Panov

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Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesVerified email at ijs.si
Larisa SoldatovaProfessor, Goldsmiths, University of LondonVerified email at gold.ac.uk
Aljaž OsojnikResearcher, Jožef Stefan InstituteVerified email at ijs.si
Valentin GjorgjioskiJozef Stefan InstituteVerified email at ijs.si
Ana KostovskaJozef Stefan InstituteVerified email at ijs.si
Tommaso SoruSerendipity AI, London | Liber AI | University of LeipzigVerified email at informatik.uni-leipzig.de
Agnieszka ŁawrynowiczAssociate Professor, Poznan University of TechnologyVerified email at cs.put.poznan.pl
Dragi KocevJožef Stefan InstituteVerified email at ijs.si
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Katerina TaskovaSchool of Computer Science, The University of AucklandVerified email at auckland.ac.nz
Bernard ŽenkoJožef Stefan InstituteVerified email at ijs.si
Nives SkuncaPostdoctoral Fellow, ETH ZürichVerified email at inf.ethz.ch
Tomislav ŠmucSenior scientist, Rudjer Boskovic Institute, Zagreb, CroatiaVerified email at irb.hr
Gustavo PublioPhD Student, Leipzig UniversityVerified email at informatik.uni-leipzig.de
Nikola SimidjievskiUniversity of Cambridge, United KingdomVerified email at cam.ac.uk
Ilin TolovskiPhD Candidate, Hasso Plattner InstituteVerified email at hpi.de
Fran SupekGenome Data Science (group leader), IRB Barcelona; ICREA Research ProfessorVerified email at irb.hr
Matko BošnjakDeepMindVerified email at deepmind.com
Anita KriskoUniversity Medical Center Goettingen, Department of Experimental NeurodegenerationVerified email at med.uni-goettingen.de
Matej PetkovićJožef Stefan InstituteVerified email at ijs.si

Panče Panov

Jožef Stefan Institute

Verified email at ijs.si - Homepage

machine learning data mining knowledge representation ontology reproducible research


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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	917	2013
Estimating vegetation height and canopy cover from remotely sensed data with machine learning D Stojanova, P Panov, V Gjorgjioski, A Kobler, S Džeroski Ecological Informatics 5 (4), 256-266, 2010	157	2010
Combining bagging and random subspaces to create better ensembles P Panov, S Džeroski Advances in Intelligent Data Analysis VII: 7th International Symposium on …, 2007	135	2007
OntoDM: An ontology of data mining P Panov, S Džeroski, L Soldatova 2008 IEEE International Conference on Data Mining Workshops, 752-760, 2008	128	2008
Learning to predict forest fires with different data mining techniques D Stojanova, P Panov, A Kobler, S Džeroski, K Taškova Conference on data mining and data warehouses (SiKDD 2006), Ljubljana …, 2006	106	2006
Ontology of core data mining entities P Panov, L Soldatova, S Džeroski Data Mining and Knowledge Discovery 28, 1222-1265, 2014	81	2014
Multi-label classification via multi-target regression on data streams A Osojnik, P Panov, S Džeroski Machine Learning 106, 745-770, 2017	72	2017
Generic ontology of datatypes P Panov, LN Soldatova, S Džeroski Information Sciences 329, 900-920, 2016	56	2016
Phyletic profiling with cliques of orthologs is enhanced by signatures of paralogy relationships N Škunca, M Bošnjak, A Kriško, P Panov, S Džeroski, T Šmuc, F Supek PLoS computational biology 9 (1), e1002852, 2013	46	2013
Towards an Ontology of Data Mining Investigations. P Panov, LN Soldatova, S Dzeroski Discovery Science 5808, 257-271, 2009	46	2009
OntoDM-KDD: ontology for representing the knowledge discovery process P Panov, L Soldatova, S Džeroski Discovery Science: 16th International Conference, DS 2013, Singapore …, 2013	45	2013
ML Schema: Exposing the Semantics of Machine Learning with Schemas and Ontologies GC Publio, D Esteves, A Ławrynowicz, P Panov, L Soldatova, T Soru, ... Enabling Reproducibility in Machine Learning MLTrain@RML (co-located with …, 2018	42	2018
Tree-based methods for online multi-target regression A Osojnik, P Panov, S Džeroski Journal of Intelligent Information Systems 50, 315-339, 2018	31	2018
Inductive databases and constraint-based data mining S Džeroski, B Goethals, P Panov Springer, 2010	28*	2010
Machine learning ensemble methods in S Džeroski, P Panov, B Ženko	26	2009
Using Decision Trees to Predict Forest Stand Height and Canopy Cover from LANDSAT and LIDAR Data. S Dzeroski, A Kobler, V Gjorgjioski, P Panov EnviroInfo, 125-133, 2006	22	2006
Representing entities in the OntoDM data mining ontology P Panov, S Džeroski, LN Soldatova Inductive Databases and Constraint-Based Data Mining, 27-58, 2010	21	2010
Comparison of tree-based methods for multi-target regression on data streams A Osojnik, P Panov, S Džeroski New Frontiers in Mining Complex Patterns: 4th International Workshop, NFMCP …, 2016	11	2016
A modular ontology of data mining P Panov PhD thesis, Jožef Stefan Iternational Postgraduate School, Ljubljana, Slovenia, 2012	11	2012
Itemset support queries using frequent itemsets and their condensed representations T Mielikäinen, P Panov, S Džeroski Discovery Science: 9th International Conference, DS 2006, Barcelona, Spain …, 2006	11	2006

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