Publication profile
Publication profile
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
Add to contacts (vCard) Show publications
Academic article
2021
. Efficient and simple prediction explanations with groupShapley: A practical perspective. CEUR Workshop Proceedings (ISSN 1613-0073). 3014 2021. Fulltekst
. 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
. 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
. Efficient Shapley value explanations through feature groups. The 28th Nordic Conference in Mathematical Statistics; Tromsø, Norway/ Online, 6/21/2021 - 6/24/2021.
. 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
. groupShapley: Efficient prediction explanation with Shapley values for feature groups. Norsk Regnesentral. NR-notat SAMBA/20/21. 2021.
. Imputing nutritional values of Norwegian food products. Norsk Regnesentral. NR-notat SAMBA/25/21. pp 35. 2021.
. Predicting insurance fraud with the help of a sentiment analysis model. Norsk Regnesentral. NR-notat SAMBA/01/21. pp 26. 2021.
2019
. BalPrice -- Forecast of balancing prices. Norsk Regnesentral. NR-notat SAMBA/15/19. pp 19. 2019.
. Predicting the sentiments of Gjensidige insurance customers. Norsk Regnesentral. NR-notat SAMBA/51/19. pp 22. 2019.
. Shapley explanations using conditional inference trees. Norsk Regnesentral. NR-notat SAMBA/18/19. pp 33. 2019.
2018
. A goodness-of-fit test for the Gaussian copula. Norsk Regnesentral. NR-notat SAMBA/39/2018. pp 21. 2018.
. 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
. Introduksjon til R – verktøy for statistisk analyse og maskinlæring. Kurs; Norsk Regnesentral, Oslo, 1/29/2020.
2019
. Introduksjon til R – verktøy for statistisk analyse. Kurs; Norsk Regnesentral, Oslo, 4/11/2019.
. Introduksjon til R – verktøy for statistisk analyse. Kurs; Norsk Regnesentral, Oslo, 1/31/2019.
Programme management
2021
. Episode 13: Hvordan kan vi ta temperaturen på et komplekst IT-system? 2021.
| 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 |
| Add to contacts (vCard) |
| Show publications |
Academic article
2021
. Efficient and simple prediction explanations with groupShapley: A practical perspective. CEUR Workshop Proceedings (ISSN 1613-0073). 3014 2021. Fulltekst
. 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
. 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
. Efficient Shapley value explanations through feature groups. The 28th Nordic Conference in Mathematical Statistics; Tromsø, Norway/ Online, 6/21/2021 - 6/24/2021.
. 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
. groupShapley: Efficient prediction explanation with Shapley values for feature groups. Norsk Regnesentral. NR-notat SAMBA/20/21. 2021.
. Imputing nutritional values of Norwegian food products. Norsk Regnesentral. NR-notat SAMBA/25/21. pp 35. 2021.
. Predicting insurance fraud with the help of a sentiment analysis model. Norsk Regnesentral. NR-notat SAMBA/01/21. pp 26. 2021.
2019
. BalPrice -- Forecast of balancing prices. Norsk Regnesentral. NR-notat SAMBA/15/19. pp 19. 2019.
. Predicting the sentiments of Gjensidige insurance customers. Norsk Regnesentral. NR-notat SAMBA/51/19. pp 22. 2019.
. Shapley explanations using conditional inference trees. Norsk Regnesentral. NR-notat SAMBA/18/19. pp 33. 2019.
2018
. A goodness-of-fit test for the Gaussian copula. Norsk Regnesentral. NR-notat SAMBA/39/2018. pp 21. 2018.
. 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
. Introduksjon til R – verktøy for statistisk analyse og maskinlæring. Kurs; Norsk Regnesentral, Oslo, 1/29/2020.
2019
. Introduksjon til R – verktøy for statistisk analyse. Kurs; Norsk Regnesentral, Oslo, 4/11/2019.
. Introduksjon til R – verktøy for statistisk analyse. Kurs; Norsk Regnesentral, Oslo, 1/31/2019.
Programme management
2021
. Episode 13: Hvordan kan vi ta temperaturen på et komplekst IT-system? 2021.
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