Blar i Publikasjoner fra Cristin - NMBU på emneord "Machine learning"
Viser treff 1-6 av 6
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End-to-end learning for autonomouse crop row-following
(Peer reviewed; Journal article, 2019) -
Neutral processes related to regional bee commonness and dispersal distances are important predictors of plant–pollinator networks along gradients of climate and landscape conditions
(Journal article; Peer reviewed, 2022)Understanding how niche-based and neutral processes contribute to the spatial varia-tion in plant–pollinator interactions is central to designing effective pollination con-servation schemes. Such schemes are needed to ... -
Neutral processes related to regional bee commonness and dispersal distances are important predictors of plant–pollinator networks along gradients of climate and landscape conditions
(Journal article; Peer reviewed, 2022)Understanding how niche-based and neutral processes contribute to the spatial varia-tion in plant–pollinator interactions is central to designing effective pollination con-servation schemes. Such schemes are needed to ... -
Novel ensemble feature selection techniques applied to high-grade gastroenteropancreatic neuroendocrine neoplasms for the prediction of survival
(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, ... -
RENT—Repeated Elastic Net Technique for Feature Selection
(Peer reviewed; Journal article, 2021) -
RippleNet: a Recurrent Neural Network for Sharp Wave Ripple (SPW-R) Detection
(Peer reviewed; Journal article, 2021)Hippocampal sharp wave ripples (SPW-R) have been identified as key bio-markers of important brain functions such as memory consolidation and decision making. Understanding their underlying mechanisms in healthy and ...