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ORCIDPance Panov
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- affiliation: Jožef Stefan Institute, Department of Knowledge Technologies
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2020 – today
- 2024
[c26]Peter Zupancic, Pance Panov:
Anomaly Detection in Time-series Employee Absence Data: A Case Study. MIPRO 2024: 1099-1104- 2023
- [j11]Ivica Dimitrovski
, Ivan Kitanovski, Pance Panov, Ana Kostovska, Nikola Simidjievski, Dragi Kocev:
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. Remote. Sens. 15(9): 2343 (2023) - [j10]Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov:
OPTION: OPTImization Algorithm Benchmarking ONtology. IEEE Trans. Evol. Comput. 27(6): 1618-1632 (2023) - [c25]Aljaz Osojnik, Pance Panov, Saso Dzeroski:
iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression. DS 2023: 48-63 - [c24]Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr:
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. EvoApplications@EvoStar 2023: 253-268 - [i9]Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr:
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. CoRR abs/2301.09876 (2023) - 2022
- [c23]Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov:
Explainable Model-specific Algorithm Selection for Multi-Label Classification. SSCI 2022: 39-46 - [i8]Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Nikola Simidjievski, Dragi Kocev:
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. CoRR abs/2201.08789 (2022) - [i7]Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov:
Explainable Model-specific Algorithm Selection for Multi-Label Classification. CoRR abs/2211.11227 (2022) - [i6]Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov:
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR abs/2211.11332 (2022) - [i5]Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov:
FAIRification of MLC data. CoRR abs/2211.12757 (2022) - 2021
- [c22]Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov:
OPTION: optimization algorithm benchmarking ontology. GECCO Companion 2021: 239-240 - [c21]Peter Zupancic, Pance Panov:
The Influence of Window Size on the Prediction Power in the Case of Absenteeism Prediction from Timesheet Data. MIPRO 2021: 193-198 - [c20]Lidija Jovanovska, Pance Panov:
Semantic Representation of Machine Learning and Data Mining Algorithms. MIPRO 2021: 205-210 - [i4]Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov:
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR abs/2104.11889 (2021) - [i3]Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev:
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR abs/2108.01407 (2021) - [i2]Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev:
Discovering outliers in the Mars Express thermal power consumption patterns. CoRR abs/2108.02067 (2021) - 2020
- [j9]Aljaz Osojnik, Pance Panov, Saso Dzeroski:
Incremental predictive clustering trees for online semi-supervised multi-target regression. Mach. Learn. 109(11): 2121-2139 (2020) - [c19]Ilin Tolovski, Saso Dzeroski, Pance Panov:
Semantic Annotation of Predictive Modelling Experiments. DS 2020: 124-139 - [c18]Ana Kostovska, Saso Dzeroski, Pance Panov:
Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema. DS 2020: 140-155
2010 – 2019
- 2019
- [c17]Aljaz Osojnik, Pance Panov, Saso Dzeroski:
Utilizing Hierarchies in Tree-Based Online Structured Output Prediction. DS 2019: 87-95 - [c16]Ana Kostovska, Ilin Tolovski, Fatima S. Maikore, Larisa N. Soldatova, Pance Panov:
Neurodegenerative Disease Data Ontology. DS 2019: 235-245 - [c15]Martin Znidarsic, Bernard Zenko, Aljaz Osojnik, Marko Bohanec, Pance Panov, Helena Burger, Zlatko Matjacic, Mojca Debeljak:
Multi-criteria Modelling Approach for Ambient Assisted Coaching of Senior Adults. KEOD 2019: 87-93 - [c14]Ilin Tolovski, Ana Kostovska, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski, Pance Panov:
Towards reusable process-based models of dynamical systems: A case study in the domain of aquatic ecosystems. MIPRO 2019: 1110-1115 - 2018
- [j8]Aljaz Osojnik, Pance Panov, Saso Dzeroski:
Tree-based methods for online multi-target regression. J. Intell. Inf. Syst. 50(2): 315-339 (2018) - [i1]Gustavo Correa Publio, Diego Esteves, Agnieszka Lawrynowicz, Pance Panov, Larisa N. Soldatova, Tommaso Soru, Joaquin Vanschoren, Hamid Zafar:
ML-Schema: Exposing the Semantics of Machine Learning with Schemas and Ontologies. CoRR abs/1807.05351 (2018) - 2017
- [j7]Aljaz Osojnik, Pance Panov, Saso Dzeroski:
Multi-label classification via multi-target regression on data streams. Mach. Learn. 106(6): 745-770 (2017) - 2016
- [j6]Aljaz Osojnik, Pance Panov, Saso Dzeroski:
Modeling dynamical systems with data stream mining. Comput. Sci. Inf. Syst. 13(2): 453-473 (2016) - [j5]Pance Panov, Larisa N. Soldatova, Saso Dzeroski:
Generic ontology of datatypes. Inf. Sci. 329: 900-920 (2016) - [j4]Saso Dzeroski, Dragi Kocev, Pance Panov:
Special issue on discovery science. Mach. Learn. 105(1): 1-2 (2016) - [c13]Matej Petkovic, Pance Panov, Saso Dzeroski:
A Comparison of Different Data Transformation Approaches in the Feature Ranking Context. DS 2016: 310-324 - [c12]Agnieszka Lawrynowicz, Diego Esteves, Pance Panov, Tommaso Soru, Saso Dzeroski, Joaquin Vanschoren:
An Algorithm, Implementation and Execution Ontology Design Pattern. WOP@ISWC 2016: 55-68 - 2015
- [c11]Aljaz Osojnik, Pance Panov, Saso Dzeroski:
Multi-label Classification via Multi-target Regression on Data Streams. Discovery Science 2015: 170-185 - [c10]Pance Panov, Larisa N. Soldatova, Saso Dzeroski:
Representing bioinformatics datatypes using the OntoDT ontology. ICBO 2015 - [c9]Larisa N. Soldatova, Pance Panov, Saso Dzeroski:
Ontology Engineering: From an Art to a Craft - The Case of the Data Mining Ontologies. OWLED 2015: 174-181 - [c8]Aljaz Osojnik, Pance Panov, Saso Dzeroski:
Comparison of Tree-Based Methods for Multi-target Regression on Data Streams. NFMCP 2015: 17-31 - 2014
- [j3]Pance Panov, Larisa N. Soldatova, Saso Dzeroski:
Ontology of core data mining entities. Data Min. Knowl. Discov. 28(5-6): 1222-1265 (2014) - [e2]Saso Dzeroski, Pance Panov, Dragi Kocev, Ljupco Todorovski:
Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings. Lecture Notes in Computer Science 8777, Springer 2014, ISBN 978-3-319-11811-6 [contents] - 2013
- [j2]Nives Skunca, Matko Bosnjak, Anita Krisko, Pance Panov, Saso Dzeroski, Tomislav Smuc, Fran Supek:
Phyletic Profiling with Cliques of Orthologs Is Enhanced by Signatures of Paralogy Relationships. PLoS Comput. Biol. 9(1) (2013) - [c7]Pance Panov, Larisa N. Soldatova, Saso Dzeroski:
OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process. Discovery Science 2013: 126-140 - 2010
- [j1]Daniela Stojanova, Pance Panov, Valentin Gjorgjioski, Andrej Kobler, Saso Dzeroski:
Estimating vegetation height and canopy cover from remotely sensed data with machine learning. Ecol. Informatics 5(4): 256-266 (2010) - [p1]Pance Panov, Saso Dzeroski, Larisa N. Soldatova:
Representing Entities in the OntoDM Data Mining Ontology. Inductive Databases and Constraint-Based Data Mining 2010: 27-58 - [e1]Saso Dzeroski, Bart Goethals, Pance Panov:
Inductive Databases and Constraint-Based Data Mining. Springer 2010, ISBN 978-1-4419-7737-3 [contents]
2000 – 2009
- 2009
- [c6]Pance Panov, Larisa N. Soldatova, Saso Dzeroski:
Towards an Ontology of Data Mining Investigations. Discovery Science 2009: 257-271 - [r1]Saso Dzeroski, Pance Panov, Bernard Zenko:
Machine Learning, Ensemble Methods in. Encyclopedia of Complexity and Systems Science 2009: 5317-5325 - 2008
- [c5]Pance Panov, Saso Dzeroski, Larisa N. Soldatova:
OntoDM: An Ontology of Data Mining. ICDM Workshops 2008: 752-760 - 2007
- [c4]Pance Panov, Saso Dzeroski:
Combining Bagging and Random Subspaces to Create Better Ensembles. IDA 2007: 118-129 - 2006
- [c3]Taneli Mielikäinen, Pance Panov, Saso Dzeroski:
Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations. Discovery Science 2006: 161-172 - [c2]Saso Dzeroski, Andrej Kobler, Valentin Gjorgjioski, Pance Panov:
Using Decision Trees to Predict Forest Stand Height and Canopy Cover from LANDSAT and LIDAR Data. EnviroInfo 2006: 125-133 - [c1]Aneta Ivanovska, Pance Panov, Nathalie Colbach, Marko Debeljak, Saso Dzeroski, Antoine Messéan:
Using Simulation Models and Data Mining to Study Co-Existence of GM/Non-GM Crops at Regional Level. EnviroInfo 2006: 493-500
Coauthor Index
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