Day 1, June 5th, 2023
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08:00-09:00 |
Registration & Coffee |
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09:00-09:15 |
Welcome by Klas Pettersen |
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09:15-10:15 |
Keynote: Anders M. Dale, Professor of Neurosciences, Radiology, Psychiatry, Cognitive Science, and Data Science, UCSD |
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10:15-10:30 |
Coffee Break |
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10:30-11:30 |
Track 1 Responsible AI & Representation Learning |
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11:30-12:30 |
Lunch |
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12:30-13:40 |
Track 2 Medical AI & Chemistry |
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13:40-13:55 |
Coffee Break |
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13:55-14:55 |
Panel Discussion "NeuroAI" Panelists:
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14:55-15:45 |
Poster Session |
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15:45-16:45 |
Keynote: Jill Walker Rettberg, Professor, Principal Investigator of the ERC project Machine Vision in Everyday Life, University of Bergen, Co-director Center for Digital Narratives “AI and humans: A love/hate relationship spanning millennia” |
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16:45-17:00 |
Conference information dinner |
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17:00 |
End of Conference |
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18:00 |
Conference Dinner |
Day 2, June 6th, 2023
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08:00-09:00 |
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08:30-09:00 |
Registration & Coffee |
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09:00-10:00 |
Keynote: Arnoldo Frigessi, Professor of Statistics, Department of Biostatistics, University of Oslo “Pair copula constructions in machine learning” |
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10:00-10:15 |
Coffee Break |
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10:15-11:15 |
Track 3 Marine AI & Earth Observation |
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11:15-12:15 |
Lunch |
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12:15-13:05 |
Track 4 - Miscellaneous |
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13:05-13:30 |
Coffee Break |
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13:30-14:30 |
Panel discussion - Large Language Models: Reasoning & Bias
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14:30-15:00 |
Conference Closing |
Tracks
Track 1 Responsible AI & Representation Learning
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Time |
Title |
Author |
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10:30-11:45 |
Making scientific data available for AI via semantic interoperability and data documentation frameworks |
Francesca Lønstad Bleken, Thomas F. Hagelien, Martin Thomas Horsch and Jesper Friis |
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10:45-11:00 |
Semantically consistent self-supervised representation learning on point clouds |
Ahmed Mohammed, Asbjørn Berge and Marianne Bakken |
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11:00-11:15 |
Discriminative Multimodal Learning via Conditional Priors in Generative Models |
Rogelio A Mancisidor, Michael Kampffmeyer, Kjersti Aas and Robert Jenssen |
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11:15-11:30 |
European recommendations for explainable-AI-ready data in materials modelling and characterization |
Martin Thomas Horsch, Francesca L. Bleken, Jesper Friis and Heinz A. Preisig |
Track Chair: Ana Ozaki, Associate Professor, UiB
Track 2 Medical AI & Chemistry
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Time |
Title |
Author |
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12:30-12:45 |
Digital pathology in neuro-oncology: deep learning-based prediction of clinically actionable genomic alterations from histopathological images |
Birgit Kriener |
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12:45-13:00 |
Deep Graph Learning Approaches to Chemistry |
David Balcells |
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13:00-13:15 |
Automated Cardiac Elasticity Modeling with Evolutionary Energy Functions |
Kristin Ludwicki, Sophia Ohnemus, Leto Riebel, Molly Maleckar and Gabriel Balaban |
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13:15-13:30 |
A two-stage mammography classification model using explainable-AI for ROI detection |
Fredrik Andreas Dahl, Olav Brautaset, Marit Holden, Line Eikvil and Solveig Hofvind |
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13:30-13:40 |
Startup Presentation |
Per Niklas Benzler Waaler, Machine Learning Engineer, Medsensio |
Track Chair: Morten Goodwin, Professor, UiA
Track 3: Marine AI & Earth Observation
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Time |
Title |
Author |
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10:15-10:30 |
ATELIER-EO: An AutoML framework for Earth Observation |
David Völgyes, Martijn Vermeer, Daniele Fantin, Jacob Alexander Hay and Tord Kriznik Sørensen |
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10:30-10:45 |
SeaBee - Norwegian Infrastructure for Drone-based Research, Mapping and Monitoring in the Coastal Zone |
Arnt-Børre Salberg, Yi Liu, Are Charles Jensen, Jarle Hamar Reksten, Joseph Garrett, James Edward Sample, Hege Gundersen and Kasper Hancke |
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10:45-11:00 |
Mapping marine macroalgae using UAV hyperspectral imaging and machine learning |
Martin Skjelvareid, Eli Rinde, Katalin Blix, Kasper Hancke and Galice G. Hoarau |
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11:00-11:15 |
MViST: A Multi-label Vision Spatiotemporal Transformer for Underwater Ship Inspection |
Md Abulkalam Azad, Ahmed Mohammed, Maryna Waszak, Brian Elvesæter and Martin Ludvigsen |
Track Chair: Katalin Blix, Research Fellow, UiT
Track 4: Miscellaneous
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Time |
Title |
Author |
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12:15-12:30 |
An Efficient Machine Learning Approach for Building Segmentation Using Aerial Images and LiDAR Data |
Erik Finnesand, Muhammad Sulaiman and Mina Farmanbar |
|
12:30-12:45 |
GPT-4's Unconventional Route to Pi: A Novel Algorithm for Calculating Pi Using the Space-Filling Hilbert Curve and Monte Carlo-Inspired Sampling |
Kristian Muri Knausgård |
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12:45-12:55 |
Startup Presentation - Bineric "Data labelling using large language models and an army of data labellers" |
Umair Mehmood Imam, CEO & Co-founder |
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12:55-13:05 |
Strategic Partner Presentation "Shipment Captioning - Predicting Production Lifecycle For Shipments At Posten" |
Simon Simonsson, Data Scientist, Posten |
Track Chair: Mina Farmanbar, Associate Professor, UiS