1. Linear and neural network-based models for short-term heat load forecastingPrimož Potočnik, Ervin Strmčnik, Edvard Govekar, 2015, original scientific article Keywords: 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, published scientific conference contribution Keywords: 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, original scientific article Keywords: 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, original scientific article Keywords: 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, original scientific article Keywords: 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, original scientific article Keywords: 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, original scientific article Keywords: 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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