Ghent University Academic Bibliography

Your filters: cql: keyword exact "computer science applications"

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Reconversion of a building to a new functional program using graph matching

Louise Deprez (UGent) , Ruben Verstraeten (UGent) and Pieter Pauwels

(2024) INTERNATIONAL JOURNAL OF ARCHITECTURAL COMPUTING. 22(3). p.514-539
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Understanding skin color bias in deep learning-based skin lesion segmentation

Marin Benčević, Marija Habijan, Irena Galić, Danilo Babin (UGent) and Aleksandra Pizurica (UGent)

(2024) COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. 245.
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Analysis of road infrastructure and traffic factors influencing crash frequency : insights from generalised poisson models

Muhammad Wisal Khattak (UGent) , Hans De Backer (UGent) , Pieter De Winne (UGent) , Tom Brijs and Ali Pirdavani

(2024) INFRASTRUCTURES. 9(3).
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Towards a framework for a nation-wide implementation of augmented, virtual and mixed reality in K-12 technical and vocational education

Carl Boel (UGent) , Kim Dekeyser, Marijke Lemal, Tijs Rotsaert (UGent) , Martin Valcke (UGent) , Tammy Schellens (UGent) and Dieter Struyf

(2024) TECHTRENDS. 68. p.295-306
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Reproducing predictive learning analytics in CS1 : toward generalizable and explainable models for enhancing student retention

Denis Zhidkikh, Ville Heilala, Charlotte Van Petegem, Peter Dawyndt (UGent) , Miitta Järvinen, Sami Viitanen, Bram De Wever (UGent) , Bart Mesuere (UGent) , Vesa Lappalainen, Lauri Kettunen, et al.

(2024) JOURNAL OF LEARNING ANALYTICS. 11(1).

Academic Bibliography

Reconversion of a building to a new functional program using graph matching

Understanding skin color bias in deep learning-based skin lesion segmentation

Analysis of road infrastructure and traffic factors influencing crash frequency : insights from generalised poisson models

Towards a framework for a nation-wide implementation of augmented, virtual and mixed reality in K-12 technical and vocational education

Reproducing predictive learning analytics in CS1 : toward generalizable and explainable models for enhancing student retention

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