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
Ana KostovskaJozef Stefan InstituteVerified email at ijs.si
Dragi KocevJožef Stefan InstituteVerified email at ijs.si
Diego EstevesOLXVerified email at olx.com
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
Valentin GjorgjioskiJozef Stefan InstituteVerified email at ijs.si
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Nikola SimidjievskiUniversity of Cambridge, United KingdomVerified email at cam.ac.uk
Katerina TaskovaSchool of Computer Science, The University of AucklandVerified email at auckland.ac.nz
Matej PetkovićFaculty of mathematics and physics, Universtity of LjubljanaVerified email at fmf.uni-lj.si
Bernard ŽenkoJožef Stefan InstituteVerified email at ijs.si
Gustavo PublioPhD Student, Leipzig UniversityVerified email at informatik.uni-leipzig.de
Tomaž StepišnikYoung researcher, Jožef Stefan InstituteVerified email at ijs.si
Fran SupekGenome Data Science lab PI, BRIC / University of Copenhagen professor, IRB Barcelona Group LeaderVerified email at irb.hr
Tomislav ŠmucSenior scientist, Rudjer Boskovic Institute, Zagreb, CroatiaVerified email at irb.hr
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FranceVerified email at mpi-inf.mpg.de
Tome EftimovComputer Systems Department, Jožef Stefan InstituteVerified email at ijs.si

Panče Panov

Jožef Stefan Institute

Verified email at ijs.si - Homepage

machine learning knowledge representation applied ontology FAIR data 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	1111	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	193	2010
Combining bagging and random subspaces to create better ensembles P Panov, S Džeroski International symposium on intelligent data analysis, 118-129, 2007	155	2007
OntoDM: An ontology of data mining P Panov, S Džeroski, L Soldatova 2008 IEEE International Conference on Data Mining Workshops, 752-760, 2008	143	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	127	2006
Multi-label classification via multi-target regression on data streams A Osojnik, P Panov, S Džeroski Machine Learning 106, 745-770, 2017	98	2017
Ontology of core data mining entities P Panov, L Soldatova, S Džeroski Data Mining and Knowledge Discovery 28, 1222-1265, 2014	86	2014
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	69	2018
Generic ontology of datatypes P Panov, LN Soldatova, S Džeroski Information Sciences 329, 900-920, 2016	66	2016
OntoDM-KDD: ontology for representing the knowledge discovery process P Panov, L Soldatova, S Džeroski Discovery Science: 16th International Conference, DS 2013, Singapore …, 2013	53	2013
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	51	2013
Towards an ontology of data mining investigations P Panov, LN Soldatova, S Džeroski Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009	43	2009
Tree-based methods for online multi-target regression A Osojnik, P Panov, S Džeroski Journal of Intelligent Information Systems 50, 315-339, 2018	42	2018
Machine learning ensemble methods in S Džeroski, P Panov, B Ženko	35	2009
Inductive databases and constraint-based data mining S Džeroski, B Goethals, P Panov Springer, 2010	34*	2010
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	25	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	23	2010
ML schema core specification D Esteves, A Lawrynowicz, P Panov, L Soldatova, T Soru, J Vanschoren World Wide Web Consortium, Tech. Rep., Oct, 2016	16	2016
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
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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