Statistical approximation to synthetic mid-ship hull girder stress response , 2019. Lecture

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

A historic perspective on Bayesian surface modelling 2019. Lecture

Choosing depth-conversion models using cross validation of wells 2019. Lecture

Getting the zonation right. A synthetic real-time case study 2019. Lecture

A novel implementation of the LinVel model 2019. Lecture

Getting the most out of your deep directional resistivity data 2019. Lecture

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

Comparing the CRAVA, PCube and PCube+ inversion algorithms 2019. Lecture

Compaction and Subsidence 2019. Lecture

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

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

Applied Geostatistics and Geomodelling 2019 2019. Lecture

PCube+ principles 2019. Lecture

PCube+ principles 2019. Lecture

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

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

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

Mindre rutinearbeid med maskinlæring -- Automatisk deteksjon av hvitvasking 2019. Lecture

Er urettferdige algoritmer uungåelig? 2019. Lecture

Maskinlæring og kunstig intelligens - en avmystifisering med fokus på muligheter og begrensninger 2019. Lecture

The COGMAR project: Ubiquitous cognitive computer vision for marine services 2019. Lecture

Automated acoustic data processing with deep learning 2019. Lecture

IKT i synshemmedes arbeidsliv: Hjelp og hinder 2019. Lecture

Metodikk for ÅDT-belegging - forslag til løsning 2019. Lecture

Evaluering av smartmålersikkerhet 2019. Lecture

Trenger vi et (eller flere) algoritmetilsyn? 2019. Lecture

Modellering av omdømme i cybersikkerhet med nevralske nettverk 2019. Lecture

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

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

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

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

Tekstmining: En kort innføring , 2018. Lecture

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

Innsyn i algoritmene 2019. Lecture

Nasjonalt historisk befolkningsregister 2019. Lecture

Machine learning - Finding Cut Rocks and Cute Animals 2019. Lecture

Maskinlæring i mammografiprogrammet 2019. Lecture

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

Intelligent og automatisk bildeanalyse med deep learning 2018. Lecture

Metodisk seminar kredittrisikomodellering 2019. Lecture

The FINSEC (Integrated Framework for Predictive and Collaborative Security of Financial Infrastructures) Approach 2019. Lecture

Developing NLP models without labelled data using weak supervision 2020. Lecture

Data-drevet autentisering for mobile tjenester 2019. Lecture

Combining Model and Parameter Uncertainty in Bayesian Neural Networks 2019. Lecture

Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data 2019. Lecture

Klassifikasjon og deteksjon ved bruk av kunstig intelligens 2019. Lecture

Å forstå og bruke statistikk når man dekker forskning 2020. Lecture

Alt du kan lære om statistisk modellering og maskinlæring på en dag 2020. Lecture

Explaining predictions from machine learning methods when features are dependent 2020. Lecture