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Neurodegenerative Disease Data Ontology.

, , , , и . DS, том 11828 из Lecture Notes in Computer Science, стр. 235-245. Springer, (2019)

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Ivo Panov

Vladimir Panov

Evgenij von Panov

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Mladen Panovic

 

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iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression., , и . DS, том 14276 из Lecture Notes in Computer Science, стр. 48-63. Springer, (2023)Combining Bagging and Random Subspaces to Create Better Ensembles., и . IDA, том 4723 из Lecture Notes in Computer Science, стр. 118-129. Springer, (2007)OPTION: optimization algorithm benchmarking ontology., , , , , и . GECCO Companion, стр. 239-240. ACM, (2021)Representing bioinformatics datatypes using the OntoDT ontology., , и . ICBO, том 1515 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)Multi-criteria Modelling Approach for Ambient Assisted Coaching of Senior Adults., , , , , , , и . KEOD, стр. 87-93. ScitePress, (2019)Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema., , и . DS, том 12323 из Lecture Notes in Computer Science, стр. 140-155. Springer, (2020)Using Decision Trees to Predict Forest Stand Height and Canopy Cover from LANDSAT and LIDAR Data., , , и . EnviroInfo, стр. 125-133. Shaker Verlag, Aachen, (2006)Phyletic Profiling with Cliques of Orthologs Is Enhanced by Signatures of Paralogy Relationships., , , , , , и . PLoS Comput. Biol., (2013)Semantic Representation of Machine Learning and Data Mining Algorithms., и . MIPRO, стр. 205-210. IEEE, (2021)A Comparison of Different Data Transformation Approaches in the Feature Ranking Context., , и . DS, том 9956 из Lecture Notes in Computer Science, стр. 310-324. (2016)