2023
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Moen, Per August Jarval; Glad, Ingrid Kristine; Tveten, Martin. Efficient sparsity adaptive changepoint estimation. arXiv 2023 UiO NR
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2. |
Tveten, Martin. Final report for the PReVENT IPN project -- numerical data. Oslo: Norsk Regnesentral 2023 8 s. NR
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Tveten, Martin. Industrial applications of changepoint detection: Anomalies, on-off-patterns and concept drift. ChangeTrend: Identifying and assessing windows of change; 2023-03-29 - 2023-03-29 NR UiO
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Tveten, Martin. Scalable changepoint and anomaly detection with an application to condition monitoring. Big Insight Celebration Day; 2023-11-17 - 2023-11-17 NR
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2022
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Løland, Anders; Tveten, Martin; Moen, Per August Jarval. Episode 15: Krafthack 2022: Suksess med Rema 1000-strategi. Sannsynligvis VIKTIG (podkast) [Internett] 2022-04-08 NR UiO
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Tveten, Martin. Changepoints in the wild. Statscale Early Career Researchers Meeting; 2022-12-14 - 2022-12-16 NR
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Tveten, Martin; Eckley, Idris A.; Fearnhead, Paul. Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring. Annals of Applied Statistics 2022 ;Volum 16.(2) s. 721-743 NR
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2021
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Hellton, Kristoffer Herland; Tveten, Martin; Stakkeland, Morten; Engebretsen, Solveig; Haug, Ola; Aldrin, Magne Tommy. Real-time prediction of propulsion motor overheating using machine learning. Journal of Marine Engineering & Technology 2021 s. - UiO NR
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Løland, Anders; Tveten, Martin. Episode 9: Hvordan kan vi oppdage katastrofale avvik? Med gjest Martin Tveten. Sannsynligvis VIKTIG (podkast) [Internett] 2021-01-21 NR
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Tveten, Martin. Introduction to change detection. Friday AI Webinar; 2021-09-24 - 2021-09-24 NR
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Tveten, Martin. Scalable changepoint and anomaly detection in cross-correlated data. Simula@BI; 2021-05-20 - 2021-05-20 NR
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Tveten, Martin. Scalable changepoint and anomaly detection in cross-correlated data. StatScale workshop 2021; 2021-04-22 - 2021-04-23 NR
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Tveten, Martin. Scalable change and anomaly detection in cross-correlated data. : Universitetet i Oslo 2021 161 s. UiO
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2019
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14. |
Moss, Jonas; Tveten, Martin. kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels. Journal of Open Source Software (JOSS) 2019 UiO
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Tveten, Martin. Online detection of sparse changes in high-dimensional data streams using tailored projections. European Meeting of Statisticians 2019; 2019-07-22 - 2019-07-26 UiO
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Tveten, Martin. Which principal components are most sensitive in the change detection problem?. Stat 2019 ;Volum 8.(1) UiO
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Tveten, Martin. Å studere matematikk ved UiO. Fagdager på Matematisk insitutt; 2019-02-26 - 2019-03-12 UiO
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18. |
Tveten, Martin; Glad, Ingrid Kristine. Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored Projections. : arXiv 2019 26 s. NR UiO
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2018
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19. |
Tveten, Martin. Tailoring PCA for detecting sparse changes in multi-stream data. Joint Statistical Meeting 2018; 2018-07-28 - 2018-08-02 UiO
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20. |
Tveten, Martin. Tailoring PCA for detecting sparse changes in multi-stream data. Big Insight Day; 2018-10-29 UiO
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2017
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21. |
Tveten, Martin; Brandsæter, Andreas; Glad, Ingrid Kristine. Anomaly detection in maritime data streams. European Network for Business and Industrial Statistics ENBIS 2017; 2017-09-12 UiO
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