AI - ML, Computer Vision, Natural Language Processing

AI betragtes som en af de teknologier, der vil have størst indflydelse på samfundet i de kommende år, med potentiale til at øge Danmarks BNP med 1,6 % årligt. Danmark har en unik samling af offentlige og registerbaserede data. Og som et af de mest digitaliserede lande i verden genereres der hver dag mere digital data.

Projekter

Nyheder / Insights

Redefinering af sundhedsvæsenet – en samtale med administrerende direktør for DIREC, Thomas Riisgaard Hansen

marts 10, 2021

Workstreamleder

Mads Nielsen

Professor

University of Copenhagen
Department of Computer Science
E: madsn@di.ku.dk
T: +45 24 60 05 99​

Tilknyttede personer

Anders Lyhne Christensen

Professor

University of Southern Denmark
The Maersk Mc-Kinney Moller Institute

Thomas Dyhre Nielsen

Professor

Aalborg University
Department of Computer Science

Lars Kai Hansen

Professor

Danmarks Tekniske Universitet
Institut for Matematik og Computer Science

Norbert Krüger

Professor

Syddansk Universitet
Mærsk Mc-Kinney Møller Instituttet

Arisa Shollo

Lektor

Copenhagen Business School
Institut for Digitalisering

Henning Christiansen

Professor

Roskilde University
Department of People and Technology

Publikationer

Towards Autonomous Multi-UAV U-Space Operation Planning
Kaspar A.R. Grøntved, Jes Hundvadt Jepsen, Anders Lyhne Christensen, Kjeld Jensen, Ulrik Pagh Schultz Lundquist, Miguel Campusano

Fostering Trust Through User Interface Design in Multi-Drone Search and Rescue
Johanna Ahlskog, Maria-Theresa Bahodi, Artur Lugmayr, Timothy Robert Merritt

Show Me What’s Wrong: Impact of Explicit Alerts on Novice Supervisors of a Multi-Robot Monitoring System
Maria-Theresa Bahodi, Niels van Berkel, Mikael B. Skov & Timothy Robert Merritt

AdaBoost is not an Optimal Weak to Strong Learner
Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert

Advanced Acceleration and Implementation of Convolutional Neural Networks on FPGAs
Jalil Boudjadar, Iman Sharifirad

An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery
CK Wong, M Lin, A Raheli, Z Bashir, MBS Svendsen, MG Tolsgaard, A Feragen, A Nymark

Challenges and Requirements in Multi-Drone Interfaces
Hoang, MT.O, van Berkel, N., Skov, M.B., and ., Merritt, T.

Drone Swarms to Support Search and Rescue Operations: Opportunities and Challenges
Hoang, MT.O., Grøntved, K.A.R., van Berkel, N., Skov, M.B., Christensen, A.L., Merritt, T

I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks
M Lin, A Feragen, Z Bashir, MG Tolsgaard, AN Christensen

Learning Topological Similarity for Curvilinear Structure Segmentation
M Lin, K Zepf, AN Christensen, Z Bashir, MBS Svendsen, M Tolsgaard, A Feragen

Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction
P Pegios, EEP Sejer, M Lin, Z Bashir, MBS Svendsen, M Nielsen, E Petersen, A Nymark, M Tolsgaard, A Feragen

On convex conceptual regions in deep network representations
Tětková, L., Brüsch, T., Scheidt, T.K., Mager, F.M., Aagaard, R.Ø., Foldager, J., Alstrøm, T.S. and Hansen, L.K.

MM Algorithms to Estimate Parameters in Continuous-time Markov Chains
G Bacci, A Ingólfsdóttir, KG Larsen, R Reynouard

Reconnecting with Robotics via Digital Platforms: A Case of Agricultural Robotics
Hettich, A.

Removing confounding information from fetal ultrasound images
K Mikolaj, M Lin, Z Bashir, MBS Svendsen, M Tolsgaard, A Nymark, A Feragen

Robustness of Visual Explanations to Common Data Augmentation Methods
Lenka Tĕtková, Lars Kai Hansen

Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization
Andreasen LA, Feragen A, Christensen AN, Thybo JK, Svendsen MBS, Lekadir K, Tolsgaard MG

Unionized Data Governance in Virtual Power Plants: Poster
Niels Ørbæk Chemnitz, Phillippe Bonnet, Sebastian Büttric, Irina Shklovski, Laura Watts

Measurements, Algorithms, and Presentations of Reality: Framing Interactions with AI-Enabled Decision Support
Niels van Berkel, Maura Bellio, Mikael B. Skov, Ann Blandford

Using Signals to Support Trust Building in Clinical Human-AI Collaboration
Naja Kathrine Kollerup, Mikael B. Skov, Niels Van Berkel

The HERD Project: Human-Multi-Robot Interaction in Search & Rescue and in Farming
Christensen et al.

Challenges arising in a Multi-Drone System for Search and Rescue
Maria-Theresa Oanh Hoang, Niels van Berkel, Mikael B. Skov, Timothy Merritt