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Showing results 1-50 of 112
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2023
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1. |
Bertinelli Salucci, Clara; Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik; De Bin, Riccardo. A novel semi-supervised learning approach for State of Health monitoring of maritime lithium-ion batteries. Journal of Power Sources 2023 ;Volume 556. UiO
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2. |
Glad, Ingrid Kristine. Integreat - Norwegian Centre for Knowledge-driven Machine Learning. Nordic Perspectives on Artificial Intelligence; 2023-10-12 - 2023-10-13 UiO
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Glad, Ingrid Kristine. Integreat - The Norwegian Centre for Knowledge-driven Machine Learning. Norway Life Science 2023; 2023-02-13 - 2023-02-14 UiO
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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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2022
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Bakka, Haakon Christopher; Rognebakke, Hanne Therese Wist; Glad, Ingrid Kristine; Haff, Ingrid Hobæk; Vanem, Erik. Estimating the effect of biofouling on ship shaft power based on sensor measurements. Ship Technology Research 2022 ;Volume 70.(3) p. 209-221 UiO NR
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Bertinelli Salucci, Clara; Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik; De Bin, Riccardo. A novel semi-supervised learning approach for maritime lithium-ion battery monitoring. I: Proceedings of the 36th International Workshop on Statistical Modelling. EUT Edizioni Università di Trieste 2022 ISBN 978-88-5511-309-0. p. 85-90 UiO
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Bertinelli Salucci, Clara; Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik; De Bin, Riccardo. Multivariable Fractional Polynomials for lithium-ion batteries degradation models under dynamic conditions. Journal of Energy Storage 2022 ;Volume 52. UiO
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8. |
Brandsæter, Andreas; Glad, Ingrid Kristine. Shapley values for cluster importance: How clusters of the training data affect a prediction. Data mining and knowledge discovery 2022 p. - HVO UiO
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9. |
Glad, Ingrid Kristine. Data Science - a science, and a tool. Cooperation Opportunities and Challenges on Data Science Education, UiB; 2022-04-01 - 2022-04-01 UiO
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10. |
Glad, Ingrid Kristine. dScience - Center for Computational and Data Science. Political Data Science seminar series - PODS; 2022-04-07 - 2022-04-07 UiO
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11. |
Glad, Ingrid Kristine. dScience - en løypemelding. Ledersamling MN-fakultetet; 2022-03-01 - 2022-03-01 UiO
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12. |
Glad, Ingrid Kristine. Statistics for the Knowledge Economy. Math meets Industry, NTNU; 2022-06-02 - 2022-06-03 UiO
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13. |
Olsen, Lars Henry Berge; Glad, Ingrid Kristine; Jullum, Martin; Aas, Kjersti. Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features. Journal of machine learning research 2022 ;Volume 23.(213) p. 1-51 NR UiO
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2021
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14. |
Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik. Testbed Scenario Design Exploiting Traffic Big Data for Autonomous Ship Trials Under Multiple Conflicts With Collision/Grounding Risks and Spatio-Temporal Dependencies. IEEE transactions on intelligent transportation systems (Print) 2021 ;Volume 22.(12) UiO
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15. |
Glad, Ingrid Kristine. BigInsight - Center for Research Based Innovation. dScience PhD and PostDoc Lunch Seminar Series; 2021-11-04 - 2021-11-04 UiO
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16. |
Glad, Ingrid Kristine. Hva er så stort med stordata?. Møte i Det Norske Videnskaps-Akademi DNVA; 2021-11-18 - 2021-11-18 UiO
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17. |
Lingjærde, Camilla; Lien, Tonje Gulbrandsen; Borgan, Ørnulf; Bergholtz, Helga; Glad, Ingrid K.. Tailored graphical lasso for data integration in gene network reconstruction. BMC Bioinformatics 2021 ;Volume 22.(1) p. - OUS UiO
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18. |
Tveten, Martin. Scalable change and anomaly detection in cross-correlated data. : Universitetet i Oslo 2021 161 p. UiO
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2020
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19. |
Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik; Engelhardtsen, Øystein. AIS-Based Multiple Vessel Collision and Grounding Risk Identification based on Adaptive Safety Domain. Journal of Marine Science and Engineering (JMSE) 2020 ;Volume 8.(1) UiO
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20. |
Engebretsen, Solveig; Glad, Ingrid Kristine. Partially linear monotone methods with automatic variable selection and monotonicity direction discovery. Statistics in Medicine 2020 ;Volume 39.(25) p. 3549-3568 NR UiO
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2019
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21. |
Brandsæter, Andreas; Vanem, Erik; Glad, Ingrid Kristine. Efficient on-line anomaly detection for ship systems in operation. Expert Systems With Applications 2019 ;Volume 121. p. 418-437 UiO
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22. |
Engebretsen, Solveig; Glad, Ingrid Kristine. Additive monotone regression in high and lower dimensions. Statistics Surveys 2019 ;Volume 13. p. 1-51 UiO
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23. |
Grytten, Ivar; Rand, Knut Dagestad; Nederbragt, Alexander Johan; Storvik, Geir Olve; Glad, Ingrid Kristine; Sandve, Geir Kjetil. Graph Peak Caller: Calling ChIP-seq peaks on graph-based reference genomes. PLoS Computational Biology 2019 ;Volume 15.(2) p. 1-13 UiO
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24. |
Salvatore, Stefania; Rand, Knut Dagestad; Grytten, Ivar; Ferkingstad, Egil; Domanska, Diana; Holden, Lars; Gheorghe, Marius; Mathelier, Anthony; Glad, Ingrid Kristine; Sandve, Geir Kjetil. Beware the Jaccard: the choice of similarity measure is important and non-trivial in genomic colocalisation analysis. Briefings in Bioinformatics 2019 p. 1-8 NR UiO OUS
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25. |
Tveten, Martin; Glad, Ingrid Kristine. Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored Projections. : arXiv 2019 26 p. NR UiO
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2018
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26. |
Lien, Tonje Gulbrandsen; Borgan, Ørnulf; Reppe, Sjur; Gautvik, Kaare M; Glad, Ingrid Kristine. Integrated analysis of DNA-methylation and gene expression using high-dimensional penalized regression: a cohort study on bone mineral density in postmenopausal women. BMC Medical Genomics 2018 ;Volume 11.(24) p. - OUS LDS UiO
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2017
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27. |
Brandsæter, Andreas; Vanem, Erik; Glad, Ingrid Kristine. Cluster Based Anomaly Detection with Applications in the Maritime Industry. I: Proceedings of the 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control SDPC 2017. IEEE (Institute of Electrical and Electronics Engineers) 2017 ISBN 978-1-5090-4020-9. p. 328-333 UiO
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28. |
Glad, Ingrid Kristine. Hunting high and low - Statistics for Big Data. Women in Data Science; 2017-02-03 UiO
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29. |
Glad, Ingrid Kristine. Kompetanseutfordringer knyttet til utnyttelse av stordata i offentlig sektor. Heldagsmøte i Komunal- og fornyingsdepartementet; 2017-05-03 UiO
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30. |
Glad, Ingrid Kristine. Old bridge still standing. FocuStat Workshop Building Bridges (between the nonparametric and parametric worlds); 2017-05-22 - 2017-05-24 UiO
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31. |
Rand, Knut Dagestad; Grytten, Ivar; Nederbragt, Alexander Johan; Storvik, Geir Olve; Glad, Ingrid Kristine; Sandve, Geir Kjetil. Coordinates and intervals in graph-based reference genomes. BMC Bioinformatics 2017 ;Volume 18:263. p. 1-8 UiO
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32. |
Reppe, Sjur; Lien, Tonje Gulbrandsen; Hsu, Yi-Hsiang; Gautvik, Vigdis Teig; Olstad, Ole Kristoffer; Yu, Rona; Bakke, Hege Gilbø; Lyle, Robert; Kringen, Marianne K.; Glad, Ingrid Kristine; Gautvik, Kaare M. Distinct DNA methylation profiles in bone and blood of osteoporotic and healthy postmenopausal women. Epigenetics 2017 ;Volume 12.(8) p. 674-687 LDS OUS UiO DIAKON
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33. |
Simovski, Boris; Vodak, Daniel; Gundersen, Sveinung; Domanska, Diana Ewa; Azab, Abdulrahman; Holden, Lars; Holden, Marit; Grytten, Ivar; Rand, Knut Dagestad; Drabløs, Finn; Johansen, Morten; Mora Ortiz, Antonio Carlos; Lund-Andersen, Christin; Fromm, Bastian; Eskeland, Ragnhild; Gabrielsen, Odd Stokke; Ferkingstad, Egil; Nakken, Sigve; Bengtsen, Mads; Nederbragt, Alexander Johan; Thorarensen, Hildur Sif; Akse, Johannes Andreas; Glad, Ingrid Kristine; Hovig, Johannes Eivind; Sandve, Geir Kjetil. GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome. GigaScience 2017 ;Volume 6.(7) Suppl. https://academic.oup p. 1-12 NTNU UiO OUS NR
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34. |
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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2016
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35. |
Brandsæter, Andreas; Manno, Gabriele; Vanem, Erik; Glad, Ingrid Kristine. An Application of Sensor-Based Anomaly Detection in the Maritime Industry. I: 2016 IEEE International Conference on Prognostics and Health Management (ICPHM 2016). Curran Associates, Inc. 2016 ISBN 9781509003839. UiO
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36. |
Frigessi, Arnoldo; Buhlmann, Peter; Glad, Ingrid Kristine; Langaas, Mette; Richardson, Sylvia Therese Lamblin; Vannucci, Marina. Abel Symposia: Preface. Abel Symposia 2016 ;Volume 11. p. vii-x UiO NTNU
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37. |
Frigessi, Arnoldo; Bühlmann, Peter; Glad, Ingrid Kristine; Langaas, Mette; Richardson, Sylvia Therese Lamblin; Vannucci, Marina. Statistical Analysis for High-Dimensional Data. Springer 2016 (ISBN 978-3-319-27097-5) 306 p. NTNU UiO
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38. |
Frigessi, Arnoldo; Buhlmann, Peter; Glad, Ingrid Kristine; Richardson, Sylvia; Vannucci, Marina. Some themes in high-dimensional statistics. Abel Symposia 2016 ;Volume 11. p. 1-13 UiO
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39. |
Glad, Ingrid Kristine. Anomalies in multiple sensor series. BigInsight Day 2016; 2016-10-24 UiO
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40. |
Glad, Ingrid Kristine. Bridging SIRIUS and BigInsight. SIRIUS Kickoff; 2016-05-19 UiO
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41. |
Glad, Ingrid Kristine. Brobygging mellom SFI-ene SIRIUS og BigInsight. SFI-forum, Norwegian Research Council; 2016-04-28 UiO
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42. |
Glad, Ingrid Kristine. Hunting high and low. Opening Lecture Nordstat2016; 2016-06-27 UiO
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43. |
Glad, Ingrid Kristine. I spissen for nye innovasjonsklynger. Titan.no [Internet] 2016-03-17 UiO
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44. |
Glad, Ingrid Kristine. Sensor Systems. SFI lunch-seminar; 2016-11-16 UiO
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45. |
Glad, Ingrid Kristine. Skaper innovasjon i Data Science. Titan.no [Internet] 2016-12-06 UiO
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46. |
Glad, Ingrid Kristine; Hjort, Nils Lid. Model uncertainty first, not afterwards. Statistical Science 2016 ;Volume 31.(4) p. 490-494 UiO
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47. |
Mogstad, Ekaterina; Kristoffersen, Anja Bråthen; Jansen, Peder A.; Glad, Ingrid Kristine. Time to the first medical treatment of farmed salmon to control salmon lice, a survival analysis approach. AquaEpi 1; 2016-09-20 - 2016-09-22 UiO VETINST
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48. |
Solbergersen, LInn Cecilie; Ahmed, Ismail; Frigessi, Arnoldo; Glad, Ingrid Kristine; Richardson, Sylvia Therese Lamblin. Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration. Abel Symposia 2016 ;Volume 11. p. 37-66 UiO
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49. |
Vanem, Erik; Glad, Ingrid Kristine; Storvik, Geir Olve. Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data. 29th International Congress on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2016; 2016-08-19 - 2016-08-23 UiO
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2015
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50. |
Antoniadis, Anestis; Glad, Ingrid Kristine; Mohammed, Hayat. Local comparison of empirical distributions via nonparametric regression. Journal of Statistical Computation and Simulation 2015 ;Volume 85.(12) p. 2384-2405 UiO
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