Pance Panov

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 31

Top Topics

Feature Ranking

Semantic Annotation

Top Venues

Publications

Peter Zupancic, Pance Panov
Anomaly Detection in Time-series Employee Absence Data: A Case Study. MIPRO (2024)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression. DS (2023)
Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Ana Kostovska, Nikola Simidjievski, Dragi Kocev
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. Remote. Sens. 15 (9) (2023)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. IEEE Trans. Evol. Comput. 27 (6) (2023)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. CoRR (2023)
Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
Explainable Model-specific Algorithm Selection for Multi-Label Classification. CoRR (2022)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR (2022)
Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Nikola Simidjievski, Dragi Kocev
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. CoRR (2022)
Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov
FAIRification of MLC data. CoRR (2022)
Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
Explainable Model-specific Algorithm Selection for Multi-Label Classification. SSCI (2022)
Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martinez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR (2021)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR (2021)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: optimization algorithm benchmarking ontology. GECCO Companion (2021)
Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev
Discovering outliers in the Mars Express thermal power consumption patterns. CoRR (2021)
Lidija Jovanovska, Pance Panov
Semantic Representation of Machine Learning and Data Mining Algorithms. MIPRO (2021)
Peter Zupancic, Pance Panov
The Influence of Window Size on the Prediction Power in the Case of Absenteeism Prediction from Timesheet Data. MIPRO (2021)
Ana Kostovska, Saso Dzeroski, Pance Panov
Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema. DS (2020)
Ilin Tolovski, Saso Dzeroski, Pance Panov
Semantic Annotation of Predictive Modelling Experiments. DS (2020)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
Incremental predictive clustering trees for online semi-supervised multi-target regression. Mach. Learn. 109 (11) (2020)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
Utilizing Hierarchies in Tree-Based Online Structured Output Prediction. DS (2019)
Ana Kostovska, Ilin Tolovski, Fatima S. Maikore, Larisa N. Soldatova, Pance Panov
Neurodegenerative Disease Data Ontology. DS (2019)
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)
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)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
Tree-based methods for online multi-target regression. J. Intell. Inf. Syst. 50 (2) (2018)
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 (2018)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
Multi-label classification via multi-target regression on data streams. Mach. Learn. 106 (6) (2017)
Saso Dzeroski, Dragi Kocev, Pance Panov
Special issue on discovery science. Mach. Learn. 105 (1) (2016)
Pance Panov, Larisa N. Soldatova, Saso Dzeroski
Generic ontology of datatypes. Inf. Sci. 329 (2016)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
Modeling dynamical systems with data stream mining. Comput. Sci. Inf. Syst. 13 (2) (2016)
Agnieszka Lawrynowicz, Diego Esteves, Pance Panov, Tommaso Soru, Saso Dzeroski, Joaquin Vanschoren
An Algorithm, Implementation and Execution Ontology Design Pattern. WOP@ISWC (2016)
Matej Petkovic, Pance Panov, Saso Dzeroski
A Comparison of Different Data Transformation Approaches in the Feature Ranking Context. DS (2016)
Larisa N. Soldatova, Pance Panov, Saso Dzeroski
Ontology Engineering: From an Art to a Craft - The Case of the Data Mining Ontologies. OWLED (2015)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
Comparison of Tree-Based Methods for Multi-target Regression on Data Streams. NFMCP (2015)
Pance Panov, Larisa N. Soldatova, Saso Dzeroski
Representing bioinformatics datatypes using the OntoDT ontology. ICBO (2015)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
Multi-label Classification via Multi-target Regression on Data Streams. Discovery Science (2015)
Pance Panov, Larisa N. Soldatova, Saso Dzeroski
Ontology of core data mining entities. Data Min. Knowl. Discov. 28 (5-6) (2014)
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)
Pance Panov, Larisa N. Soldatova, Saso Dzeroski
OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process. Discovery Science (2013)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. EvoApplications@EvoStar (2013)
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) (2010)
Pance Panov, Larisa N. Soldatova, Saso Dzeroski
Towards an Ontology of Data Mining Investigations. Discovery Science (2009)
Pance Panov, Saso Dzeroski, Larisa N. Soldatova
OntoDM: An Ontology of Data Mining. ICDM Workshops (2008)
Pance Panov, Saso Dzeroski
Combining Bagging and Random Subspaces to Create Better Ensembles. IDA (2007)
Taneli Mielikäinen, Pance Panov, Saso Dzeroski
Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations. Discovery Science (2006)
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)
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)