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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, izvirni znanstveni članek Ključne besede: random forest, OLS, hedonic price model, PCA, Ljubljana
Celotno besedilo (datoteka, 3,17 MB) Gradivo ima več datotek! Več... |
3. Analysis of command and control connections using machine learning algorithmsJAKOB PREMRN, 2020, magistrsko delo/naloga Ključne besede: machine learning, imbalanced dataset, command and control, C2, C&C, Zeek, Random forest, Decision tree
Celotno besedilo (datoteka, 4,92 MB) |
4. 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, izvirni znanstveni članek Ključne besede: precision shooting, accuracy prediction model, augmented feedback, random forest
Celotno besedilo (datoteka, 5,46 MB) Gradivo ima več datotek! Več... |
5. 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, izvirni znanstveni članek Ključne besede: extensive managed grassland, intensive managed grassland, NDVI, coherence, Satellite Image Time Series, Random Forest, feature selection
Celotno besedilo (datoteka, 2,17 MB) Gradivo ima več datotek! Več... |
6. Machine learning based nominal root stress calculation model for gears with a progressive curved path of contactUroš Urbas, Damijan Zorko, Nikola Vukašinović, 2021, izvirni znanstveni članek Ključne besede: machine learning, nominal root stress, gears, Finite Element Method, FEM, random forest, AdaBoost
Celotno besedilo (datoteka, 2,45 MB) Gradivo ima več datotek! Več... |
7. 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 Rodríguez-Recio, Miha Krofel, 2023, izvirni znanstveni članek Ključne besede: GPS location clusters, GPS-fix schedule, kill sites, random forest, Eurasian lynx, domestic prey, GLCs, multiprey system
Celotno besedilo (datoteka, 1,05 MB) Gradivo ima več datotek! Več... |
8. Classification of cattle breeds based on the random forest approachRadovan Kasarda, Nina Moravčíková, Gábor Mészáros, Mojca Simčič, Daniel Zaborski, 2023, izvirni znanstveni članek Ključne besede: cattle breed, 50K SNP data, random forest, fixation index, principal component analysis
Celotno besedilo (datoteka, 1,42 MB) Gradivo ima več datotek! Več... |
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10. Determining the influence and correlation for parameters of flexible forming using the random forest methodLuka Sevšek, Sandi Baressi Šegota, Zlatan Car, Tomaž Pepelnjak, 2023, izvirni znanstveni članek Ključne besede: incremental sheet metal forming, multi-step sheet forming, finite element method, random forest method, parameter influence analysis, parameter correlation analysis
Celotno besedilo (datoteka, 3,14 MB) Gradivo ima več datotek! Več... |
