Academic Bibliography

Search 200 years of publications by Ghent University researchers.

dr. ir. Bert Vankeirsbilck

Faculty of Engineering and Architecture > Department of Information technology

Work address: Technologiepark Zwijnaarde 126
9052 Zwijnaarde
Email: Bert.Vankeirsbilck@UGent.be
ORCID iD: 0000-0001-9489-8306

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Data-efficient sensor upgrade path using knowledge distillation

Pieter Van Molle (UGent) , Cedric De Boom (UGent) , Tim Verbelen (UGent) , Bert Vankeirsbilck (UGent) , Jonas De Vylder (UGent) , Bart Diricx, Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2021) SENSORS. 21(19).
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Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks

Pieter Van Molle (UGent) , Tim Verbelen (UGent) , Bert Vankeirsbilck (UGent) , Jonas De Vylder (UGent) , Bart Diricx, Tom Kimpe, Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2021) NEURAL COMPUTING & APPLICATIONS. 33(16). p.10259-10275
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Training binary neural networks with knowledge transfer

Sam Leroux (UGent) , Bert Vankeirsbilck (UGent) , Tim Verbelen (UGent) , Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2020) NEUROCOMPUTING. 396. p.534-541
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Quantifying uncertainty of deep neural networks in skin lesion classification

Pieter Van Molle (UGent) , Tim Verbelen (UGent) , Cedric De Boom (UGent) , Bert Vankeirsbilck (UGent) , Jonas De Vylder (UGent) , Bart Diricx, Tom Kimpe (UGent) , Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2019) UNCERTAINTY FOR SAFE UTILIZATION OF MACHINE LEARNING IN MEDICAL IMAGING AND CLINICAL IMAGE-BASED PROCEDURES. In Lecture Notes in Computer Science 11840. p.52-61
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Assessing uncertainty for computer assisted skin lesion diagnosis

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

(2019) EADV, 28th Congress, Abstracts.
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- A1
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Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things

Sam Leroux (UGent) , Steven Bohez (UGent) , Elias De Coninck, Pieter Van Molle (UGent) , Bert Vankeirsbilck (UGent) , Tim Verbelen (UGent) , Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2019) FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE. 97. p.355-360
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A study on confidence in classification of skin lesions by deep neural networks

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

(2019) European Association of Dermato-Oncology, 15th Congress, Abstracts.
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- Conference Paper
- C3
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A study on confidence in classification of skin lesions by deep neural networks

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

(2019) OncoPoint, 7th Research seminar, Abstracts.
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Robot navigation using a variational dynamics model for state estimation and robust control

Steven Bohez (UGent) , Tim Verbelen (UGent) , Sam Leroux (UGent) , Elias De Coninck, Bert Vankeirsbilck (UGent) , Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2018) NeurIPS2018, part of 32nd Conference on Neural Information Processing Systems. p.1-15
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Visualizing convolutional neural networks to improve decision support for skin lesion classification

Pieter Van Molle (UGent) , Miguel De Strooper, Tim Verbelen (UGent) , Bert Vankeirsbilck (UGent) , Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2018) p.1-8

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