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Publication profile

Annabelle Redelmeier

Annabelle, Redelmeier
Name: Annabelle Redelmeier
Title: Forsker / Research Scientist
Phone: (+47) +47 22 85 25 71 Mob: +1 778 558 0863
Email: anr [at] nr [dot] no
Scientific areas: Statistical analysis, Extreme value statistics, Biostatistics
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Academic article
2021
Jullum, Martin; Redelmeier, Annabelle Alice; Aas, Kjersti. Efficient and simple prediction explanations with groupShapley: A practical perspective. CEUR Workshop Proceedings (ISSN 1613-0073). 3014 2021. Fulltekst
Robbins, Shawn M.; Bodnar, Camille; Donatien, Pierre; Mirza, Rabia; Zhao, Zhen Yuan; Hoeber, Shane; Naidu, Dhiren; Redelmeier, Annabelle Alice; Steele, Russell J.; Shrier, Ian. The Influence of Time of Season on Injury Rates and the Epidemiology of Canadian Football Injuries. Clinical Journal of Sports Medicine (ISSN 1050-642X). 31(6) pp e453-e459. doi: 10.1097/JSM.0000000000000824. 2021.
Academic chapter/article/Conference paper
2020
Redelmeier, Annabelle Alice; Jullum, Martin; Aas, Kjersti. Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees. In: Lecture Notes in Computer Science (LNCS). (ISBN 978-3-030-58805-2). pp 117-137. doi: 10.1007/978-3-030-57321-8_7. 2020. Arkiv
Academic lecture
2021
Jullum, Martin; Redelmeier, Annabelle Alice; Aas, Kjersti. Efficient Shapley value explanations through feature groups. The 28th Nordic Conference in Mathematical Statistics; Tromsø, Norway/ Online, 6/21/2021 - 6/24/2021.
Jullum, Martin; Redelmeier, Annabelle Alice; Aas, Kjersti. Efficient and simple prediction explanations with groupShapley: A practical perspective. Italian Workshop on Explainable Artificial Intelligence 2021; Milano, Italy/ Online, 12/1/2021 - 12/3/2021.
Report
2021
Jullum, Martin; Redelmeier, Annabelle Alice; Aas, Kjersti. groupShapley: Efficient prediction explanation with Shapley values for feature groups. Norsk Regnesentral. NR-notat SAMBA/20/21. 2021.
Redelmeier, Annabelle Alice; Løland, Anders. Imputing nutritional values of Norwegian food products. Norsk Regnesentral. NR-notat SAMBA/25/21. pp 35. 2021.
Redelmeier, Annabelle Alice; Lison, Pierre; Løland, Anders; Pilán, Ildikó. Predicting insurance fraud with the help of a sentiment analysis model. Norsk Regnesentral. NR-notat SAMBA/01/21. pp 26. 2021.
2019
Huseby, Ragnar Bang; Løland, Anders; Redelmeier, Annabelle Alice; Aanes, Fredrik L; Øigård, Tor Arne. BalPrice -- Forecast of balancing prices. Norsk Regnesentral. NR-notat SAMBA/15/19. pp 19. 2019.
Redelmeier, Annabelle Alice. Predicting the sentiments of Gjensidige insurance customers. Norsk Regnesentral. NR-notat SAMBA/51/19. pp 22. 2019.
Redelmeier, Annabelle Alice; Aas, Kjersti; Jullum, Martin; Løland, Anders. Shapley explanations using conditional inference trees. Norsk Regnesentral. NR-notat SAMBA/18/19. pp 33. 2019.
2018
Redelmeier, Annabelle Alice. A goodness-of-fit test for the Gaussian copula. Norsk Regnesentral. NR-notat SAMBA/39/2018. pp 21. 2018.
Redelmeier, Annabelle Alice. An empirical goodness-of-fit test for multivariate distributions using Mahalanobis distances. Norsk Regnesentral. NR-notat SAMBA/38/18. pp 21. 2018.
Popular scientific lecture
2020
Rognebakke, Hanne Therese Wist; Redelmeier, Annabelle Alice; Engebretsen, Solveig. Introduksjon til R – verktøy for statistisk analyse og maskinlæring. Kurs; Norsk Regnesentral, Oslo, 1/29/2020.
2019
Rognebakke, Hanne Therese Wist; Redelmeier, Annabelle Alice. Introduksjon til R – verktøy for statistisk analyse. Kurs; Norsk Regnesentral, Oslo, 4/11/2019.
Rognebakke, Hanne Therese Wist; Redelmeier, Annabelle Alice. Introduksjon til R – verktøy for statistisk analyse. Kurs; Norsk Regnesentral, Oslo, 1/31/2019.
Programme management
2021
Løland, Anders; Redelmeier, Annabelle Alice; Cagnazzo, Alessandra. Episode 13: Hvordan kan vi ta temperaturen på et komplekst IT-system? 2021.
Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Norway
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
Phone:
(+47) 22 85 25 00
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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR