Martin Tveten

Martin Tveten; Morten Stakkeland; Fault Detection in Electrical Propulsion Motors in the Presence of Concept Drift pp. 1 10 , doi: https://doi.org/10.1109/eeeic/icpseurope64998.2025.11169259 , 2025. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Martin Tveten; Franz Kiraly; skchange tutorial: Fast change and anomaly detection in python 2025. Faglig foredrag

Martin Tveten; Franz Kiraly; skchange & sktime – time series anomaly detection, changepoint detection, segmentation 2024. Faglig foredrag

Per August Jarval Moen; Ingrid Kristine Glad; Martin Tveten; Efficient sparsity adaptive changepoint estimation Electronic Journal of Statistics, vol. 18, pp. 3975 4038 , (ISSN 1935-7524 ), doi: https://doi.org/10.1214/24-EJS2294 , 2024. Vitenskapelig artikkel

Martin Tveten; skchange: Fast time series segmentation and collective anomaly detection 2024. Faglig foredrag

Martin Tveten; skchange: A python toolbox for fast time series segmentation and anomaly detection 2024. Vitenskapelig foredrag

Martin Tveten; Scalable changepoint and anomaly detection with an application to condition monitoring 2023. Vitenskapelig foredrag

Martin Tveten; Final report for the PReVENT IPN project -- numerical data 2023. Rapport

Martin Tveten; Industrial applications of changepoint detection: Anomalies, on-off-patterns and concept drift 2023. Vitenskapelig foredrag

Per August Jarval Moen; Ingrid Kristine Glad; Martin Tveten; Efficient sparsity adaptive changepoint estimation arXiv, doi: https://doi.org/10.48550/arXiv.2306.04702 , 2023. Vitenskapelig artikkel

Ingrid Kristine Glad; Martin Tveten; Efficient sparsity adaptive changepoint estimation arXiv, doi: https://doi.org/10.48550/arXiv.2306.04702 , 2023. Vitenskapelig artikkel

Martin Tveten; Paul Fearnhead; Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring Annals of Applied Statistics, vol. 16, pp. 721 743 , (ISSN 1932-6157 1941-7330 ), doi: https://doi.org/10.1214/21-AOAS1508 , 2022. Vitenskapelig artikkel

Martin Tveten; Changepoints in the wild 2022. Vitenskapelig foredrag

Episode 15: Krafthack 2022: Suksess med Rema 1000-strategi , 2022. Programdeltagelse

Episode 9: Hvordan kan vi oppdage katastrofale avvik? Med gjest Martin Tveten , 2021. Programdeltagelse

Martin Tveten; Scalable change and anomaly detection in cross-correlated data 2021. Doktorgradsavhandling

Martin Tveten; Introduction to change detection 2021. Vitenskapelig foredrag

Kristoffer Herland Hellton; Martin Tveten; Morten Stakkeland; Solveig Engebretsen; Ola Haug; Magne Tommy Aldrin; Real-time prediction of propulsion motor overheating using machine learning Journal of Marine Engineering & Technology, (ISSN 2046-4177 2056-8487 ), doi: https://doi.org/10.1080/20464177.2021.1978745 , 2021. Vitenskapelig artikkel

Martin Tveten; Scalable changepoint and anomaly detection in cross-correlated data 2021. Vitenskapelig foredrag

Martin Tveten; Scalable changepoint and anomaly detection in cross-correlated data 2021. Vitenskapelig foredrag

Martin Tveten; Ingrid Kristine Glad; Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored Projections , 2019. Rapport