Authors;Project Title

Aditya Gupta and Morten Goodwin;A Convolutional Neural Network based Technique for Early Maturity detection in Aquatic Salmon Lars Bentsen, Narada Dilp Warakagoda, Roy Stenbro and Paal Engelstad;Probabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networks Marie Roald, Carla Schenker, Vince D. Calhoun, Tülay Adali, Rasmus Bro, Jeremy E. Cohen and Evrim Acar;An AO-ADMM approach to constrained PARAFAC2

Authors;Project Title

Jonas Verhellen, Kosio Beshkov and Gaute Einevoll;Distilling Computational Neuroscience Lars H. B. Olsen;Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features Andrea Storås, Inga Strümke, Michael Riegler and Pål Halvorsen;Explainable Artificial Intelligence in Medicine

Authors;Project Title

Maxim Khomiakov;Learning to Generate 3D Representations of Building Using Single-View Aerial Imagery Alouette van Hove, Norbert Pirk and Kristoffer Aalstad;Using reinforcement learning to map greenhouse gas fluxes with drones Valter Uotila;Quantum Circuit Learning Method for SQL Cardinality, Cost and Time Estimation Aliaksandr Hubin and Geir Storvik;Combining Model and parameter uncertainty in Bayesian neural networks

Authors;Project Title

Antti Rannisto;Social processes of algorithmic transparency: examining case studies of public sector AI Marigo Raftopoulos;Collaborating with machines and the augmentation design problem Espen Haugsdal;Persistence Initialization

Track;Day;Time

Track 1 Deep Learning;Day 1;10:30 - 11:30 Track 2 Explainable AI and related;Day 1;14:30 - 15:30 Track 3 Machine Learning Applications and related;Day 2;10:30 - 11:30 Track 4 Responsible AI and Deep Learning;Day 2;14:00 - 14:45