Blar i AURA på forfatter "Goodwin, Morten"
-
Towards safe reinforcement-learning in industrial grid-warehousing
Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2020) -
Transform Diabetes - Harnessing Transformer-Based Machine Learning and Layered Ensemble with Enhanced Training for Improved Glucose Prediction.
Laursen, Rune Alexander; Alo, Peshang (Master thesis, 2023)Type 1 diabetes is a common chronic disease characterized by the body’s inability to regulate the blood glucose level, leading to severe health consequences if not handled manually. Accurate blood glucose level predictions ... -
Transform Diabetes - Harnessing Transformer-Based Machine Learning and Layered Ensemble with Enhanced Training for Improved Glucose Prediction.
Laursen, Rune Alexander; Alo, Peshang (Master thesis, 2023)Type 1 diabetes is a common chronic disease characterized by the body’s inability to regulate the blood glucose level, leading to severe health consequences if not handled manually. Accurate blood glucose level predictions ... -
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (Peer reviewed; Journal article, 2022)The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from ... -
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications
Berge, Geir Thore; Granmo, Ole-Christoffer; Tveit, Tor Oddbjørn; Goodwin, Morten; Lei, Jiao; Matheussen, Bernt Viggo (Journal article; Peer reviewed, 2019) -
Using Tsetlin Machine to discover interpretable rules in natural language processing applications
Saha, Rupsa; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2021) -
Using Tsetlin Machine to discover interpretable rules in natural language processing applications
Saha, Rupsa; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2021) -
Vertical Approach Anomaly Detection Using Local Outlier Factor
Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (Chapter; Peer reviewed, 2023)Detection of anomalies based on smart meter data is crucial to identify potential risks and unusual events at an early stage. In addition anomaly detection can be used as a tool to detect unwanted outliers, caused by ...