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So far veronicasundstedt has created 62 blog entries.

Visit and Guest Lecture by Dr Eng. Izabela Karsznia: May AI help you? Improving Settlement and Road Network Design for Maps of Small Scales Using Artificial Intelligence

Guest Lecture "May AI help you? Improving Settlement and Road Network Design for Maps of Small Scales Using Artificial Intelligence" by Dr Eng. Izabela Karsznia, April 10, 12:10-12:50, Room J1630  Cartographic generalization is an essential element of map design. It is defined as the deliberate and logical process of reducing the detail of map content [...]

Visit and Guest Lecture by Dr Eng. Izabela Karsznia: May AI help you? Improving Settlement and Road Network Design for Maps of Small Scales Using Artificial Intelligence 2024-02-21T10:48:01+00:00

PAPER ACCEPTED TO ICVARS 2024

The following paper has been accepted to ICVARS 2024: Y. Fu, Y. Hu, V. Sundstedt, A Pilot Study of User Preferences of Posture and Display Technologies in Virtual Reality Exercise Games, 8th International Conference on Virtual and Augmented Reality Simulations ICVARS 2024.

PAPER ACCEPTED TO ICVARS 2024 2024-01-25T12:19:44+00:00

PAPER ACCEPTED TO IDA 2024

The following paper has been accepted to IDA 2024: V. Manasa Devagiri, Pierre Dagnely, V. Boeva, E. Tsiporkova. Putting Sense into Multi-source Heterogeneous Data with Hypergraph Clustering Analysis. Symposium on Intelligent Data Analysis (IDA 2024) (Stockholm, 24-26 April 2024).

PAPER ACCEPTED TO IDA 2024 2024-01-25T12:18:01+00:00

HINTS RESEARCHER PROGRAM CHAIR AT ICAT-EGVE 2024

HINTS research Associate Professor Veronica Sundstedt has been invited for a second time to be Program Chair at the International Conference on Artificial Reality and Telexistence, ICAT-EGVE 2024, which this year will be hosted at University of Tsukuba, Japan in December 1-3, 2024.

HINTS RESEARCHER PROGRAM CHAIR AT ICAT-EGVE 2024 2024-01-19T11:42:55+00:00

Visit and Guest Lecture by Prof. Plamen Angelov: Bringing Deep Learning and Reasoning Closer

Guest Lecture "Bringing Deep Learning and Reasoning Closer" by Prof. Plamen Angelov:  January 24, 14:30, Room J1630  Deep Learning continues to attract the attention and interest not only of the wider scientific community and industry, but also society and policy makers. However, the mainstream approach of end-to-end iterative training of a hyper-parametric, cumbersome, and opaque [...]

Visit and Guest Lecture by Prof. Plamen Angelov: Bringing Deep Learning and Reasoning Closer 2024-01-24T13:08:03+00:00