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.

Nyheder / Insights

Workstreamleder

Mads Nielsen

Professor

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

Tilknyttede personer

University of Southern Denmark
The Maersk Mc-Kinney Moller Institute

Aalborg University
Department of Computer Science

Danmarks Tekniske Universitet
Institut for Matematik og Computer Science

Syddansk Universitet
Mærsk Mc-Kinney Møller Instituttet

Copenhagen Business School
Institut for Digitalisering

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

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

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

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

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

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