Pierre Lison; Open challenges in anonymisation 2019. Faglig foredrag

Aliaksandr Hubin; Using node embedding to obtain information from network based transactions data in a bank 2019. Faglig foredrag

Bjarte M. Østvold; Data-drevet autentisering for mobile tjenester 2019. Faglig foredrag

Øivind Due Trier; Klassifikasjon og deteksjon ved bruk av kunstig intelligens 2019. Faglig foredrag

Aliaksandr Hubin; An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models 2019. Faglig foredrag

Aliaksandr Hubin; Geir Olve Storvik; Paul Eivind Grini; Melinka Alonso Butenko; Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data 2019. Faglig foredrag

Aliaksandr Hubin; Geir Olve Storvik; Combining Model and Parameter Uncertainty in Bayesian Neural Networks 2019. Faglig foredrag

Aliaksandr Hubin; Geir Olve Storvik; Combining Model and Parameter Uncertainty in Bayesian Neural Networks 2019. Faglig foredrag

Petter Abrahamsen; Modelling Techniques 2019. Faglig foredrag

Eyvind Aker; Per Røe; Ragnar Hauge; Petter Abrahamsen; PCube+ principles 2019. Faglig foredrag

Eyvind Aker; Per Røe; Ragnar Hauge; Petter Abrahamsen; PCube+ principles 2019. Faglig foredrag

Anders Løland; To historier: Dynamisk maskinlæringsprising av Airbnb-leiligheter + Hvordan kan vi forklare hva maskinlæringen legger vekt på? 2019. Faglig foredrag

Ariel Almendral Vazquez; Petter Abrahamsen; Pål Dahle; Audun Sektnan; Getting the most out of your deep directional resistivity data 2019. Faglig foredrag

Ariel Almendral Vazquez; Petter Abrahamsen; Pål Dahle; Audun Sektnan; A novel implementation of the LinVel model 2019. Faglig foredrag

Audun Sektnan; Pål Dahle; Ariel Almendral Vazquez; Petter Abrahamsen; Getting the zonation right. A synthetic real-time case study 2019. Faglig foredrag

Pål Dahle; Choosing depth-conversion models using cross validation of wells 2019. Faglig foredrag

Petter Abrahamsen; Compaction and Subsidence 2019. Faglig foredrag

Petter Abrahamsen; Volume estimation, simulation and rejection sampling - Some rarely used COHIBA features 2019. Faglig foredrag

Petter Abrahamsen; COHIBA - Consistent, robust, and accurate prediction of surfaces 2019. Faglig foredrag

Petter Abrahamsen; A historic perspective on Bayesian surface modelling 2019. Faglig foredrag