Ghent University Academic Bibliography

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- PhD Thesis
- open access
Machine learning to the rescue : enabling novel proteomics workflows with data-driven bioinformatics methods

Ralf Gabriels (UGent)

(2022)
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- Journal Article
- A1
- open access
Model reduction through progressive latent space pruning in deep active inference

Samuel Wauthier (UGent) , Cedric De Boom (UGent) , Ozan Catal (UGent) , Tim Verbelen (UGent) and Bart Dhoedt (UGent)

(2022) FRONTIERS IN NEUROROBOTICS. 16.
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- Journal Article
- A1
- open access
Deep learning-based 2D/3D registration of an atlas to biplanar X-ray images

Jeroen Van Houtte, Emmanuel Audenaert (UGent) , Guoyan Zheng and Jan Sijbers

(2022) INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY.
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- Conference Paper
- C3
- open access
Dose reduction and image enhancement in micro-CT using deep learning

Florence Marie Muller (UGent) , Jens Maebe (UGent) , Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2022) 1st Joint BMIC-DyMIC Conference 2022, Abstracts.
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- Conference Paper
- P1
- open access
Virtual restoration of paintings based on deep learning

Roman Sizyakin (UGent) , Viacheslav Voronin and Aleksandra Pizurica (UGent)

(2022) Fourteenth International Conference on Machine Vision (ICMV 2021). In Proceedings of SPIE 12084.
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- Journal Article
- open access
An Unsupervised Transfer Learning Framework for Visible-Thermal Pedestrian Detection

Chengjin Lyu (UGent) , Patrick Heyer Wollenberg (UGent) , Bart Goossens (UGent) and Wilfried Philips (UGent)

(2022) SENSORS. 22(12).
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Physics informed neural networks for control oriented thermal modeling of buildings

Gargya Gokhale (UGent) , Bert Claessens (UGent) and Chris Develder (UGent)

(2022) APPLIED ENERGY. 314.
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The value of measuring uncertainty in neural networks in dermoscopy

Pieter Van Molle (UGent) , Lieve Brochez (UGent) , Tim Verbelen (UGent) , Cedric De Boom (UGent) , Bert Vankeirsbilck (UGent) , Evelien Verhaeghe (UGent) , Sofie Mylle (UGent) , Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2022) JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY.
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- Journal Article
- open access
The Free Energy Principle for Perception and Action: A Deep Learning Perspective

Pietro Mazzaglia (UGent) , Tim Verbelen (UGent) , Ozan Catal (UGent) and Bart Dhoedt (UGent)

(2022) ENTROPY. 24(2). p.1-22
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- Conference Paper
Structural information in mathematical formulas for exercise difficulty prediction: a comparison of NLP representations

Ekaterina Loginova (UGent) and Dries Benoit

(2022) Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022). p.101-106

Academic Bibliography

Machine learning to the rescue : enabling novel proteomics workflows with data-driven bioinformatics methods

Model reduction through progressive latent space pruning in deep active inference

Deep learning-based 2D/3D registration of an atlas to biplanar X-ray images

Dose reduction and image enhancement in micro-CT using deep learning

Virtual restoration of paintings based on deep learning

An Unsupervised Transfer Learning Framework for Visible-Thermal Pedestrian Detection

Physics informed neural networks for control oriented thermal modeling of buildings

The value of measuring uncertainty in neural networks in dermoscopy

The Free Energy Principle for Perception and Action: A Deep Learning Perspective

Structural information in mathematical formulas for exercise difficulty prediction: a comparison of NLP representations

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