Combining Model and Parameter Uncertainty in Bayesian Neural Networks 2019. Faglig foredrag

Research perspectives on Artificial Intelligence, transparency, privacy & law 2019. Faglig foredrag

Kunstig intelligens og maskinlæring – hvordan bruker man data riktig? 2019. Faglig foredrag

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

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

A historic perspective on Bayesian surface modelling 2019. Faglig foredrag

Comparing the CRAVA, PCube and PCube+ inversion algorithms 2019. Faglig foredrag

Immortal Virtual Machine – solving the problem of file format and infrastructure obsolescence 2019. Faglig foredrag

Applied Geostatistics and Geomodelling 2019 2019. Faglig foredrag

Handling true vertical depth (TVD) uncertainty in wells 2019. Faglig foredrag

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

Compaction and Subsidence 2019. Faglig foredrag

Explaining and opening the black box – methods and research challenges 2019. Faglig foredrag

AI, AI; trenger vi et (eller flere) algoritmetilsyn? 2019. Faglig foredrag

Er urettferdige algoritmer uungåelig? 2019. Faglig foredrag

Artificial Intelligence (AI) - verktøyet som vil transformere verden 2019. Faglig foredrag

Data management – or what I did not learn @UiO 2019. Faglig foredrag

Preliminary Results of the FINSEC (Integrated Framework for Predictive and Collaborative Security of Financial Infrastructures) project 2019. Faglig foredrag

Integrated Framework for Predictive and Collaborative Security of Financial Infrastructures (FINSEC) 2019. Faglig foredrag

Research perspectives on Artificial Intelligence, transparency, privacy & law 2019. Faglig foredrag