| 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 | 1127 | 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 | 195 | 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 | 145 | 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 | 130 | 2006 |
| Multi-label classification via multi-target regression on data streams A Osojnik, P Panov, S Džeroski Machine Learning 106, 745-770, 2017 | 103 | 2017 |
| Ontology of core data mining entities P Panov, L Soldatova, S Džeroski Data Mining and Knowledge Discovery 28, 1222-1265, 2014 | 87 | 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 | 75 | 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 | 52 | 2013 |
| Tree-based methods for online multi-target regression A Osojnik, P Panov, S Džeroski Journal of Intelligent Information Systems 50, 315-339, 2018 | 45 | 2018 |
| 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 |
| 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 |
| Aitlas: Artificial intelligence toolbox for earth observation I Dimitrovski, I Kitanovski, P Panov, A Kostovska, N Simidjievski, D Kocev Remote Sensing 15 (9), 2343, 2023 | 11 | 2023 |
| OPTION: OPTImization Algorithm Benchmarking ONtology A Kostovska, D Vermetten, C Doerr, S Džeroski, P Panov, T Eftimov GECCO '21: Proceedings of the Genetic and Evolutionary Computation …, 2021 | 11 | 2021 |
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