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2. Estimating the performance of random forest versus multiple regression for predicting prices of the apartmentsMarjan Čeh, Milan Kilibarda, Anka Lisec, Branislav Bajat, 2018, original scientific article Keywords: random forest, OLS, hedonic price model, PCA, Ljubljana Full text (file, 3,17 MB) This document has more files! More... |
3. Analysis of command and control connections using machine learning algorithmsJAKOB PREMRN, 2020, master's thesis/paper Keywords: machine learning, imbalanced dataset, command and control, C2, C&C, Zeek, Random forest, Decision tree Full text (file, 4,92 MB) |
4. Relation of influencing variables and weather conditions on rainfall partitioning by birch and pine treesKatarina Zabret, Mojca Šraj, 2021, original scientific article Keywords: hydrology, throughfall, stemflow, rainfall interception, rainfall microstructure, regression trees, boosted regression trees, random
forest Full text (file, 880,36 KB) This document has more files! More... |
5. A Random Forest-based accuracy prediction model for augmented biofeedback in a precision shooting training systemJunqi Guo, Lan Yang, Anton Umek, Rongfang Bie, Sašo Tomažič, Anton Kos, 2020, original scientific article Keywords: precision shooting, accuracy prediction model, augmented feedback, random forest Full text (file, 5,46 MB) This document has more files! More... |
6. Grassland use intensity classification using intra-annual Sentinel-1 and -2 time series and environmental variablesAna Potočnik Buhvald, Matej Račič, Markus Immitzer, Krištof Oštir, Tatjana Veljanovski, 2022, original scientific article Keywords: extensive managed grassland, intensive managed grassland, NDVI, coherence, Satellite Image Time Series, Random Forest, feature selection Full text (file, 2,17 MB) This document has more files! More... |
7. Machine learning based nominal root stress calculation model for gears with a progressive curved path of contactUroš Urbas, Damijan Zorko, Nikola Vukašinović, 2021, original scientific article Keywords: machine learning, nominal root stress, gears, Finite Element Method, FEM, random forest, AdaBoost Full text (file, 2,45 MB) This document has more files! More... |
8. Predicting kill sites of an apex predator from GPS data in different multiprey systemsTeresa Oliveira, David Carricondo-Sanchez, Jenny Mattisson, Kristina Vogt, Andrea Corradini, John D. C. Linnell, John Odden, Marco Heurich, Mariano Rodriguez Recio, Miha Krofel, 2023, original scientific article Keywords: GPS location clusters, GPS-fix schedule, kill sites, random forest, Eurasian lynx, domestic prey, GLCs, multiprey system Full text (file, 1,05 MB) This document has more files! More... |
9. Classification of cattle breeds based on the random forest approachRadovan Kasarda, Nina Moravčíková, Gábor Mészáros, Mojca Simčič, Daniel Zaborski, 2023, original scientific article Keywords: cattle breed, 50K SNP data, random forest, fixation index, principal component analysis Full text (file, 1,42 MB) This document has more files! More... |
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