1. Linear and neural network-based models for short-term heat load forecastingPrimož Potočnik, Ervin Strmčnik, Edvard Govekar, 2015, izvirni znanstveni članek Ključne besede: district heating, heat load forecasting, feature extraction, stepwise regression, autoregressive model, neural networks
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2. 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. Analysis of bulb turbine hydrofoil cavitationAndrej Podnar, Marko Hočevar, Lovrenc Novak, Matevž Dular, 2021, izvirni znanstveni članek Ključne besede: hydrofoil, bulb turbine, bulb turbine runner, cavitation, flow visualization, cavitation tunnel, regression model
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4. Analysis of human exposure to landslides with a GIS multiscale approachSirio Modugno, Sarah C. M. Johnson, Pasquale Borrelli, Edris Alam, Nejc Bezak, Heiko Balzter, 2022, izvirni znanstveni članek Ključne besede: disaster risk reduction, landslide probability, logistic regression, landslide trigger factors, GIS model, global map
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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. Parametric pushover curve model for seismic performance assessment of building stockNeja Fazarinc, Anže Babič, Matjaž Dolšek, 2024, izvirni znanstveni članek Ključne besede: probabilistic seismic hazard analysis, non-ergodic ground-motion model, Gaussian process regression, pushover curve, parametric model, building stock, seismic performance assessment, building knowledge, reinforced concrete buildings, masonry buildings
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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. Learning macroscopic equations of motion from dissipative particle dynamics simulations of fluidsMatevž Jug, Daniel Svenšek, Tilen Potisk, Matej Praprotnik, 2024, izvirni znanstveni članek Ključne besede: sparsity, model selection, particle simulations, macroscopic dynamics, regression
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