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NR vitenarkiv [360]
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Predicting a food product’s missing nutritional values using machine learning and matching algorithms from natural language processing
(Research report, 2022)To analyze the nutritional trends of Norwegian households, Statistics Norway uses a combination of grocery store receipts and food product information, namely the nutritional values of each product. However, since the ... -
Efficient sparsity adaptive changepoint estimation
(Journal article; Peer reviewed, 2024)We propose a computationally efficient and sparsity adaptive procedure for estimating changes in unknown subsets of a high-dimensional data sequence. Assuming the data sequence is Gaussian, we prove that the new method ... -
Prediksjon av TVINN- varenummer ved bruk av maskinlæring på fritekstfelt
(NR-notat;, Research report, 2024)Statistisk sentralbyrå (SSB) publiserer månedlig statistikk over utenrikshandel med varer (UHV). Formålet med statistikken er å gi en oversikt over varestrømmene mellom Norge og utlandet. Eksport og import av varer er ... -
Insurance analytics: Prediction, explainability, and fairness
(Journal article; Peer reviewed, 2024)The expanding application of advanced analytics in insurance has generated numerous opportunities, such as more accurate predictive modeling powered by machine learning and artificial intelligence (AI) methods, the utilization ... -
Conversational Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysis
(Chapter, 2024)Scripted dialogues such as movie and TV subtitles constitute a widespread source of training data for conversational NLP models. However, there are notable linguistic differences between these dialogues and spontaneous ...