Eyvind Aker; Heidi Kjønsberg; Per Røe; Øyvind Kjøsnes; Probabilistic inversion into lithology and fluid classes in the North Sea – Comparison of one- and two-step approach 2018. Scientific lecture

Thordis Linda Thorarinsdottir; Claudio Constantin Heinrich; Alex Lenkoski; Erik Wilhelm Kolstad; Øyvind Paasche; Varsling av vær og klima i maskinlæringens tid. Hvor gode kan sesongvarslene bli? 2018. Scientific lecture

Ingvar Tjøstheim; Is there (a) room for privacy 2018. Scientific lecture

Ingvar Tjøstheim; Lothar Fritsch; Similar Information Privacy Behavior in 60-65s vs. 50-59ers - Findings From A European Survey on The Elderly , 2018. Scientific lecture

Aliaksandr Hubin; Geir Olve Storvik; Florian Frommlet; Deep Bayesian regression models 2018. Scientific lecture

Thordis Linda Thorarinsdottir; Bayesian modelling of cluster point process models 2018. Scientific lecture

Peter Guttorp; Thordis Linda Thorarinsdottir; Alisha Albert-Green; Using nerve fibre data as a statistical laboratory 2018. Scientific lecture

Thordis Linda Thorarinsdottir; Point processes: Models vs. inference 2018. Scientific lecture

Thordis Linda Thorarinsdottir; Does Bayes beat squinting? Bayesian modelling of cluster point process models 2018. Scientific lecture

Thordis Linda Thorarinsdottir; Alex Lenkoski; Kristoffer Herland Hellton; Gunnhildur Högnadóttir Steinbakk; Anita Verpe Dyrrdal; et al. On developing general and efficient inference algorithms for complicated hierarchical models 2018. Scientific lecture

Thordis Linda Thorarinsdottir; Qifen Yuan; Wai Kwok Wong; Stein Beldring; Shaochun Huang; et al. Post-processing climate model output to obtain accurate high-resolution climate projections & why uncertainty matters even if the answer is just a number 2018. Scientific lecture

Thordis Linda Thorarinsdottir; Qifen Yuan; Wai Kwok Wong; Stein Beldring; Shaochun Huang; et al. Statistics in climate research: The importance of stochastic modelling and uncertainty quantification 2018. Scientific lecture

Thordis Linda Thorarinsdottir; Spatial hierarchical modelling with a large number of potential covariates 2018. Scientific lecture

Ingrid Aarnes; Ragnar Hauge; Applying Truncated Gaussian Fields to describe geology 2017. Scientific lecture

Gunnhildur Högnadóttir Steinbakk; Magne Tommy Aldrin; Ola Haug; Virtual indicator sensor for structural condition monitoring 2019. Scientific lecture

Ingrid Aarnes; Traversing the gap from sedimentary process models to facies modeling. 2018. Scientific lecture

Hao Zhao; Anders U. Waldeland; Dany Rueda Serrano; Martin Tygel; Einar Iversen; Time-migration Tomography based on Reflection Slopes in Pre-stack Time-migrated Seismic , 2018. Scientific lecture

Ragnar Bang Huseby; Magne Tommy Aldrin; Recent developments in statistical modelling of disease dispersal in marine fish aquaculture 2019. Scientific lecture

Kjersti Aas; Claudia Czado; Vine copulas in finance & insurance 2019. Scientific lecture

Kjersti Aas; Explaining predictions from machine learning methods when features are dependent 2019. Scientific lecture

Clara-Cecilie Günther; Marion Haugen; Linda Reiersølmoen Neef; Gir klikkstrømdata bedre innsikt i besøkendes behov? 2019. Scientific lecture

Martin Jullum; Kjersti Aas; Anders Løland; How to open the black box -- Individual prediction explanation 2019. Scientific lecture

Gunnhildur Högnadóttir Steinbakk; Alex Lenkoski; Anders Løland; Ragnar Bang Huseby; Using published bid/ask curves to error dress spot electricity prices 2019. Scientific lecture

Claudio Constantin Heinrich; Statistical post-processing of seasonal weather forecasts 2019. Scientific lecture

Arnt Børre Salberg; Line Eikvil; Ketil Malde; Nils Olav Handegard; The COGMAR project 2019. Scientific lecture

Markus Lund Vevle; Ingrid Aarnes; Karina Ledsaak; Ragnar Hauge; Arne Skorstad; Facies modelling of a real-life fluvial system using a modern object-based algorithm 2018. Scientific lecture

Olav Brautaset; Nils Olav Handegard; Automated acoustic data processing with deep learning 2019. Scientific lecture

Olav Brautaset; Applying deep learning to non-standard image data - a case study on marine acoustics 2019. Scientific lecture

Odd Kolbjørnsen; Pål Dahle; Morten D. Bjerke; Beate A. Bakke; Knut Richard Straith; Using Deep Directional Resistivity for Model Selection and Uncertainty Reduction in the Edvard Grieg Depth Conversion 2019. Scientific lecture

Britt Bang Jensen; Anja Bråthen Kristoffersen; Magne Tommy Aldrin; Lars Qviller; A web-based app for simulating spread of PD 2019. Scientific lecture

Henrik Stryhn; Lars Qviller; Peder A Jansen; Anja Bråthen Kristoffersen; Magne Tommy Aldrin; Evaluating the impact of zoning in Norwegian aquaculture on sea lice populations at salmon production sites 2019. Scientific lecture

Pierre Lison; Modélisation du dialogue: contrôle du dialogue et corpus multilingues , 2019. Scientific lecture

Joe Zuech; Andreas Rasmussen; Peter Harris; Bill Shea; Per Røe; et al. Direct Inversion of Pre-Stack Seismic to Predict Lithology, Pore Fluids, & Layer Boundary Horizons 2019. Scientific lecture

Pierre Lison; Dialogue Modelling: Small data, Big data 2019. Scientific lecture

Pierre Lison; Data-driven models of reputation for cybersecurity , 2019. Scientific lecture

Kristoffer Herland Hellton; Thordis Linda Thorarinsdottir; Bayesian hierarchical modeling of extreme flood events 2018. Scientific lecture

Pierre Lison; Data-driven models of reputation in cyber-security , 2018. Scientific lecture

Pierre Lison; Jörg Tiedemann; Milen Kouylekov; OpenSubtitles 2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora , 2018. Scientific lecture

Qinghui Liu; Michael C. Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; DDCM Network for Semantic Mapping of Remote Sensing Images , 2019. Scientific lecture

Jarle Hamar Reksten; Arnt Børre Salberg; Urban Traffic Density Estimation for Air Pollution Modelling using Deep Neural Networks 2018. Scientific lecture

Qinghui Liu; Michael C. Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network , 2019. Scientific lecture

Claudio Constantin Heinrich; Hybrid scheme for volatility modulated moving average fields 2018. Scientific lecture

Martin Jullum; Nils Lid Hjort; Parametric or nonparametric, that’s the question 2018. Scientific lecture

Rune Solberg; Øivind Due Trier; Øystein Rudjord; Jarle Hamar Reksten; A portfolio of snow products based on Sentinel-3 for snow hydrology 2018. Scientific lecture

Rune Solberg; Øystein Rudjord; Arnt Børre Salberg; Jarle Hamar Reksten; Mari Anne Killie; et al. Local and regional trends in snow cover from a 34-year time series of satellite observations 2018. Scientific lecture

Claudio Constantin Heinrich; Forecast validation for earthquakes and other point processes 2019. Scientific lecture

Claudio Constantin Heinrich; How to validate point process predictions or can tests for calibration be proper? 2019. Scientific lecture

Nina Schuhen; Thordis Linda Thorarinsdottir; Alex Lenkoski; Rapid adjustment of weather forecast trajectories 2019. Scientific lecture

Nina Schuhen; Thordis Linda Thorarinsdottir; Alex Lenkoski; Rapid Adjustment of Forecast Trajectories: improving short-term forecast skill through statistical post-processing , 2019. Scientific lecture

Nina Schuhen; Thordis Linda Thorarinsdottir; Alex Lenkoski; Improving forecasts through rapid updating of temperature trajectories and statistical post-processing 2018. Scientific lecture