Blar i Brage NMBU på forfatter "Schrunner, Stefan"
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Novel ensemble feature selection techniques applied to high-grade gastroenteropancreatic neuroendocrine neoplasms for the prediction of survival
Jenul, Anna; Stokmo, Henning Langen; Schrunner, Stefan; Hjortland, Geir Olav; Rootwelt-Revheim, Mona-Elisabeth; Tomic, Oliver (Peer reviewed; Journal article, 2023)• We model and predict the overall survival in patients with high-grade gastroenteropancreatic neuroendocrine neoplasms. • Novel ensemble feature selectors RENT and UBayFS are assessed for predictive performance, stability, ... -
Optimising maintenance operations in photovoltaic solar plants using data analysis for predictive maintenance
Gedde-Dahl, Gøran Sildnes (Master thesis, 2022)In PV (photovoltaic) solar power plants, high reliability of critical assets must be ensured— these include inverters, which combine the power from multiple solar cell modules. While avoiding unexpected failures and downtime, ... -
Principal component-based image segmentation: a new approach to outline in vitro cell colonies
Arous, Delmon; Schrunner, Stefan; Hanson, Ingunn; Edin, Nina Frederike Jeppesen; Malinen, Eirik (Peer reviewed; Journal article, 2022) -
RENT: A Python Package for Repeated Elastic Net Feature Selection
Jenul, Anna Selina; Schrunner, Stefan; Huynh, Bao Ngoc; Tomic, Oliver (Journal article; Peer reviewed, 2021) -
RENT—Repeated Elastic Net Technique for Feature Selection
Jenul, Anna Selina; Schrunner, Stefan; Liland, Kristian Hovde; Indahl, Ulf Geir; Futsæther, Cecilia Marie; Tomic, Oliver (Peer reviewed; Journal article, 2021) -
A study of statistical and machine learning methods for power price prediction based on filling levels of hydropower reservoirs
Szalas, Joanna (Master thesis, 2022)The European power markets have become highly integrated over the past decade. The electrical grids of individual countries are increasingly well connected between each other, which allows for trading the electricity on ... -
Towards Understanding the Survival of Patients with High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms: An Investigation of Ensemble Feature Selection in the Prediction of Overall Survival
Jenul, Anna Selina; Stokmo, Henning Langen; Schrunner, Stefan; Hjortland, Geir Olav; Rootwelt-Revheim, Mona Elisabeth; Tomic, Oliver (Journal article, 2023)Determining the most informative features for predicting the overall survival of patients diagnosed with high-grade gastroenteropancreatic neuroendocrine neoplasms is crucial to improve individual treatment plans for ...