Håvard Kvamme

Doctoral Research Fellow - Statistics and Data Science
Image of Håvard Kvamme
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Room 808
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Visiting address Moltke Moes vei 35 Niels Henrik Abels hus 0851 OSLO
Postal address Postboks 1053 Blindern 0316 OSLO

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Academic interests

Statistical prediction, machine learning, deep learning, data science.

Selected talks

Machine Learning @ UiO, Jun 2017
Credit scoring by deep learning on time series.

Background

Master of Science (Sivilingeniør) from Norwegian University of Science and Technology: Industrial Mathematics.
Master's Thesis: Gender prediction on Norwegian Twitter accounts.

Positions held

PhD Candidate BigInsight Personalized Marketing.

 

Tags: Statistics and biostatistics

Publications

  • Kvamme, Håvard; Sellereite, Nikolai; Aas, Kjersti & Sjursen, Steffen A. Søreide (2018). Predicting mortgage default using convolutional neural networks. Expert systems with applications.  ISSN 0957-4174.  102, s 207- 217 . doi: 10.1016/j.eswa.2018.02.029 Show summary

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  • Aas, Kjersti; Sellereite, Nikolai & Kvamme, Håvard (2017, 30. april). Roboten gir lån hvis den får gode vibrasjoner fra kontoen din. [Internett].  www.dn.no.
  • Kvamme, Håvard & Aas, Kjersti (2017). Credit scoring by deep learning on time series.
  • Kvamme, Håvard; Sellereite, Nikolai & Aas, Kjersti (2017). Credit Scoring using Deep Learning of Time Series data. NR-notat. SAMBA/11/2017.

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Published Jan. 6, 2016 10:27 AM - Last modified Nov. 6, 2018 2:48 PM

Research groups