Current Research Information SysTem In Norway
 
 

 Norsk versjon


 
Mainpage
Research results/NVI
Researchers
Projects
Research units
Log in
About Cristin
 
 
   
Back to search     Short format     Full format    
Export to


Showing results 1-50 of 112 << Previous 1 2 3    Next >>

2023
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 Untitled
 
2 Glad, Ingrid Kristine.
Integreat - Norwegian Centre for Knowledge-driven Machine Learning. Nordic Perspectives on Artificial Intelligence; 2023-10-12 - 2023-10-13
UiO Untitled
 
3 Glad, Ingrid Kristine.
Integreat - The Norwegian Centre for Knowledge-driven Machine Learning. Norway Life Science 2023; 2023-02-13 - 2023-02-14
UiO Untitled
 
4 Moen, Per August Jarval; Glad, Ingrid Kristine; Tveten, Martin.
Efficient sparsity adaptive changepoint estimation. arXiv 2023
UiO NR Untitled
 
2022
5 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 Untitled
 
6 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 Untitled
 
7 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 Untitled
 
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 Untitled
 
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 Untitled
 
10 Glad, Ingrid Kristine.
dScience - Center for Computational and Data Science. Political Data Science seminar series - PODS; 2022-04-07 - 2022-04-07
UiO Untitled
 
11 Glad, Ingrid Kristine.
dScience - en løypemelding. Ledersamling MN-fakultetet; 2022-03-01 - 2022-03-01
UiO Untitled
 
12 Glad, Ingrid Kristine.
Statistics for the Knowledge Economy. Math meets Industry, NTNU; 2022-06-02 - 2022-06-03
UiO Untitled
 
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 Untitled
 
2021
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 Untitled
 
15 Glad, Ingrid Kristine.
BigInsight - Center for Research Based Innovation. dScience PhD and PostDoc Lunch Seminar Series; 2021-11-04 - 2021-11-04
UiO Untitled
 
16 Glad, Ingrid Kristine.
Hva er så stort med stordata?. Møte i Det Norske Videnskaps-Akademi DNVA; 2021-11-18 - 2021-11-18
UiO Untitled
 
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 Untitled
 
18 Tveten, Martin.
Scalable change and anomaly detection in cross-correlated data. : Universitetet i Oslo 2021 161 p.
UiO Untitled
 
2020
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 Untitled
 
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 Untitled
 
2019
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 Untitled
 
22 Engebretsen, Solveig; Glad, Ingrid Kristine.
Additive monotone regression in high and lower dimensions. Statistics Surveys 2019 ;Volume 13. p. 1-51
UiO Untitled
 
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 Untitled
 
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 Untitled
 
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 Untitled
 
2018
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 Untitled
 
2017
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 Untitled
 
28 Glad, Ingrid Kristine.
Hunting high and low - Statistics for Big Data. Women in Data Science; 2017-02-03
UiO Untitled
 
29 Glad, Ingrid Kristine.
Kompetanseutfordringer knyttet til utnyttelse av stordata i offentlig sektor. Heldagsmøte i Komunal- og fornyingsdepartementet; 2017-05-03
UiO Untitled
 
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 Untitled
 
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 Untitled
 
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 Untitled
 
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 Untitled
 
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 Untitled
 
2016
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 Untitled
 
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 Untitled
 
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 Untitled
 
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 Untitled
 
39 Glad, Ingrid Kristine.
Anomalies in multiple sensor series. BigInsight Day 2016; 2016-10-24
UiO Untitled
 
40 Glad, Ingrid Kristine.
Bridging SIRIUS and BigInsight. SIRIUS Kickoff; 2016-05-19
UiO Untitled
 
41 Glad, Ingrid Kristine.
Brobygging mellom SFI-ene SIRIUS og BigInsight. SFI-forum, Norwegian Research Council; 2016-04-28
UiO Untitled
 
42 Glad, Ingrid Kristine.
Hunting high and low. Opening Lecture Nordstat2016; 2016-06-27
UiO Untitled
 
43 Glad, Ingrid Kristine.
I spissen for nye innovasjonsklynger. Titan.no [Internet] 2016-03-17
UiO Untitled
 
44 Glad, Ingrid Kristine.
Sensor Systems. SFI lunch-seminar; 2016-11-16
UiO Untitled
 
45 Glad, Ingrid Kristine.
Skaper innovasjon i Data Science. Titan.no [Internet] 2016-12-06
UiO Untitled
 
46 Glad, Ingrid Kristine; Hjort, Nils Lid.
Model uncertainty first, not afterwards. Statistical Science 2016 ;Volume 31.(4) p. 490-494
UiO Untitled
 
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 Untitled
 
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 Untitled
 
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 Untitled
 
2015
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 Untitled
 
    Show next list