NORA Annual Conference 2021 Program

Day 1 

 November 17th

08:00-09:00 

Registration and Coffee 

09:00-09:15 

Welcome by Pinar Heggernes, Pro Rektor UiB and Klas Pettersen, CEO, NORA 

09:15-10:15 

Keynote by Professor Danica Kragic, KTH

10:15-10:30 

Coffee break 

10:30-11:30 

Track 1 - Robotics and Image Processing

11:30-12:30 

Lunch 

12:30-13:30 

Track 2 - Explainable AI & Time Series 

13:30-14:30 

Posters & Mingling 

14:30-15:00 

Coffee Break

15:00-16:00 

Panel Discussion – What is the future of NORA & Norwegian AI

18:00-20:00 

Dinner at Akvariet Bergen

 

Day 2 

 November 18th

08:30-09:15 

Registration and Coffee

09:15-10:15 

Keynote by Professor Ian Horrocks

10:15-10:30 

Coffee break 

10:30-11:30 

Track 3 - Deep Learning and NLP

11:30-12:30 

Lunch 

12:30-13:50 

Track 4 - Graphic Models and Miscellaneous 

13:50-14:00 

Coffee Break  

14:00-14:40 

Uninett/Sigma2

What is the NCC, and what can the NCC do for Norwegian business?

- Espen Flage-Larsen, Senior Researcher, SINTEF

14:40-15:00 Norwegian AI Directory

15:00-17:15 

NORA.startup Segment 


Tracks NORA Annual Conference

Track 1: Robotics and Image Processing

Time

Abstract

Presenter

10:30-10:50

The circulation and governance of deepfakes in China

Gabriele de Seta

10:50-11:10

Causal Feature Attribution for Robotic Lever Manipulation using Deep Reinforcement Learning

Sindre Benjamin Remman

11:10-11:30

Introducing a Multimodal Elderly Care Safety Alarm Robot

Jim Tørresen

 

Track 2: Explainable AI & Time Series 

Time

Abstract

Presenter

12:30-12:50

Explaining features extracted by deep unsupervised learning: Understanding medical time series data

Steffen Mæland

12:50-12:10

Explaining deep learning models for embryo selection in ART using heatmaps

Akriti Sharma

13:10-13:30

Representation Learning for Time Series

Erlend Aune

 

Track 3: Deep Learning and NLP

Time

Abstract

Presenter

10:30-10:50

News Angler – finding entities for a LOCAL news angle

Bjørnar Tessem

10:50-11:10

Artificial Intelligence is Social and Embodied: Caring AIs in Contemporary Science Fiction Novels

Jill Walker Rettberg

11:10-11:30

A deep semi-supervised learning method based on transductive label propagation for sea/ice classification

Salman Khaleghian

 

Track 4: Graphic Design and Miscellaneous 

Time

Abstract

Presenter

12:30-12:50

Rigorous Mimesis in Machine Learning Design

Malthe Stavning Erslev

12:50-12:10

Detecting supersymmetric particles in small-signal scenarios

Nikolai Fomin

13:10-13:30

DagSim: A framework and specification language for simulating data based on graphical models

Ghadi Al Hajj

13:30-13:50

On the exploitation of heterophily in graph-based multimodal remote sensing data analysis

Catherine Taelman

 

Publisert 23. aug. 2021 00:24 - Sist endret 20. okt. 2021 13:57