Using statistical and machine learning techniques to improve the skill of sub-seasonal weather predictions over Norway. 2022. Vitenskapelig foredrag

Statistical Sightings of Better Angels? 2022. Vitenskapelig foredrag

Privacy-preserving techniques and approaches 2022. Vitenskapelig foredrag

Defining the basic rules that describe long-term shoreface dynamics: A process-mimicking approach for reservoir modelling 2022. Vitenskapelig foredrag

Eliciting and Prioritizing Services for Accessible Information for Residential Real Estate Transactions Estate Technical Conditions Information 2022. Vitenskapelig foredrag

Scenario Design for Healthcare Collaboration Training Under Suboptimal Conditions 2022. Vitenskapelig foredrag

Feiyang Tang; Bjarte M. Østvold; Assessing Software Privacy using the Privacy Flow-Graph , 2022. Vitenskapelig foredrag

Understanding drivers for daily mortality in Norwegian salmon farming 2021. Vitenskapelig foredrag

Human sovereignty in a lock-down situation: Is there room for privacy?  2021. Vitenskapelig foredrag

Privacy Concern and Privacy-Protective Behavior: The Privacy Paradox in the Context of Mobile Applications 2021. Vitenskapelig foredrag

Effects of a Serious Game to Raise Awareness about Dark Patterns among Teenagers: Preliminary Results 2021. Vitenskapelig foredrag

Penalized angular regression for personalized predictions 2021. Vitenskapelig foredrag

The “privacy paradox” in the technological context of mobile apps 2021. Vitenskapelig foredrag

Presentasjon fra prosjektet om inngrepsfri natur og deteksjon av kulturminner 2021. Vitenskapelig foredrag

On the importance of statistics and machine learning in climate research 2021. Vitenskapelig foredrag

Forecast evaluation part III 2021. Vitenskapelig foredrag

Forecast evaluation part II 2021. Vitenskapelig foredrag

Introduction to change detection 2021. Vitenskapelig foredrag

Machine learning vs statistical methods for climate data analysis 2021. Vitenskapelig foredrag

Forecast evaluation part I 2021. Vitenskapelig foredrag