Welcome and introduction

• Heidi Sandaker (University of Oslo (NO))
• James Catmore (University of Oslo (NO))

Room: Helga Engs Hus Lecture Theatre 1

Bayesian approach to recommender systems

• Arnoldo Frigessi (University of Oslo (NO))

Room: Helga Engs Hus Lecture Theatre 1

A novel GMJMCMC algorithm for Bayesian Logic Regression models

• Aliaksandr Hubin (University of Oslo (NO))

Room: Helga Engs Hus Lecture Theatre 1

Strategies to handle mandatory covariates using model- and likelihood-based boosting

• Riccardo De Bin (University of Oslo (NO))

Room: Helga Engs Hus Lecture Theatre 1

Robotics and Intelligent Systems

• Jim Tørresen (University of Oslo (NO))

Room: Helga Engs Hus Lecture Theatre 1

The Optique project: linking analytics and data access

• Martin Giese (University of Oslo (NO))

Room: Helga Engs Hus Lecture Theatre 1

A portfolio of machine learning intensive startups at Campus UiO: How can the research and the startup communities interact to create growth?

• Nils Christophersen (University of Oslo (NO))
• Tobias Dahl (University of Oslo (NO))

Room: Helga Engs Hus Lecture Theatre 1

Credit scoring by deep learning on time series

• Håvard Kvamme (University of Oslo)

Room: Helga Engs Hus Lecture Theatre 1

Can machine learning help us solve challenges in low energy nuclear physics?

• Gry Tveten (University of Oslo (NO))

Room: Helga Engs Hus Lecture Theatre 1

Experimental high energy particle physics

• James Catmore (University of Oslo (NO))

Room: Helga Engs Hus Lecture Theatre 1

Education: relevant courses at UiO Room: Helga Engs Hus Lecture Theatre 1

Discussion and exchange of ideas Room: Helga Engs Hus Lecture Theatre 1