1. Spruce bark beetles (Ips typographus, Pityogenes chalcographus, Col.: Scolytidae) in the Dinaric mountain forests of SloveniaMaja Jurc, Marko Perko, Sašo Džeroski, Damjan Demšar, Boris Hrašovec, 2006, objavljeni znanstveni prispevek na konferenci Ključne besede: žuželke, navadna jelka, Slovenija, monitoring, Spruce bark beetles, Ips typographus, Pityogenes chalcographus, Norwey spruce, monitoring, phenology, catastrophic weather conditons, position, linear regression, machine learning, model trees
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3. Evaluation system for the implementation of public passenger transport as a public service obligationJanez Blaž, Klemen Zajc, Samo Zupan, Miha Ambrož, 2019, izvirni znanstveni članek Ključne besede: public passenger transport, public service obligation, linear regression, optimization
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4. Comprehensive electric arc furnace electric energy consumption modelingMiha Kovačič, Klemen Stopar, Robert Vertnik, Božidar Šarler, 2019, izvirni znanstveni članek Ključne besede: steelmaking, electric arc furnaces, consumption, electric energy, melting, refining, tapping, modeling, linear regression, genetic programming
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5. Failure modes and life prediction model for high-speed bearings in a through-flow universal motorBlaž Benedik, Janez Rihtaršič, Janez Povh, Jože Tavčar, 2021, izvirni znanstveni članek Ključne besede: bearing life forecasting, bearing failure modes, through-flow universal motor, vacuum cleaner motor, grease deterioration, Weibull probability function, censored data, linear regression
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6. Bias-reduced estimators of conditional odds ratios in matched case-control studies with unmatched confoundingRok Blagus, 2023, izvirni znanstveni članek Ključne besede: statistics, linear models, bias, bias correction, Cox proportional hazards model, data augmentation, logistic regression model, relative risk estimation
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7. Correlating mechanical and rheological filament properties to processability and quality of 3D printed tablets using multiple linear regressionKlemen Kreft, Zoran Lavrič, Urška Gradišar Centa, Mohor Mihelčič, Lidija Slemenik Perše, Rok Dreu, 2024, izvirni znanstveni članek Ključne besede: fused deposition modelling, personalized medicine, multiple linear regression, tablet quality attributes, correlation, 3D printing
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8. Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction modelsLara Dular, Franjo Pernuš, Žiga Špiclin, 2024, izvirni znanstveni članek Ključne besede: magnetic resonance imaging, brain age prediction, image preprocessing, deep model regression, comparative study, quantitative evaluation, brain age, MRI preprocessing, deep regression models, linear mixed effect models, dataset bias, transfer learning, reproducible research, UK Biobank
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9. A comparative study of machine learning regression models for production systems condition monitoringDenis Jankovič, Marko Šimic, Niko Herakovič, 2024, izvirni znanstveni članek Ključne besede: hydraulic presses, metal forming, machine learning, linear regression, decision trees, support vector machines, gaussian process regression, artificial neural networks
Celotno besedilo (datoteka, 1,88 MB) Gradivo ima več datotek! Več... |
