Ghent University Academic Bibliography

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Automated training of location-specific edge models for traffic counting

Sam Leroux (UGent) , Bo Li (UGent) and Pieter Simoens (UGent)

(2022) COMPUTERS & ELECTRICAL ENGINEERING. 99.
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- Conference Paper
- C1
- open access
Multi-branch neural networks for video anomaly detection in adverse lighting and weather conditions

Sam Leroux (UGent) , Bo Li (UGent) and Pieter Simoens (UGent)

(2022) 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). In Proceedings (IEEE Workshop on Applications of Computer Vision) p.3027-3035
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- Conference Paper
- open access
The art of compensation: how hybrid teams solve collective risk dilemmas

Inês Terrucha (UGent) , E.F. Dmingos, F.C. Santos, Pieter Simoens (UGent) and T. Lenaerts

(2022) p.1-8
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- Journal Article
- open access
The value of measuring uncertainty in neural networks in dermoscopy

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

(2022) Journal of the American Academy of Dermatology.
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- PhD Thesis
The interplay between resource distributions and optimal foraging behavior : from individuals to populations

Johannes Nauta (UGent)

(2022)
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Iterative neural networks for adaptive inference on resource-constrained devices

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

(2022) NEURAL COMPUTING & APPLICATIONS. p.1-16
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- Conference Paper
- C1
- open access
Intelligent frame selection as a privacy-friendlier alternative to face recognition

Mattijs Baert (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2021) PPAI-21, the 2nd AAAI Workshop on Privacy-Preserving Artificial Intelligence, Proceedings.
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- Conference Paper
- C1
- open access
Bayesian inverse reinforcement learning for strategy extraction in the iterated prisoner's dilemma game

Matthias Cami, Inês Terrucha (UGent) , Yara Khaluf (UGent) and Pieter Simoens (UGent)

(2021) Proceedings of BNAIC/BeneLearn 2021, 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning. p.806-808
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- PhD Thesis
From proximity to complexity : impact of network topology in dynamic collective AI

Ilja Rausch (UGent)

(2021)
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- Journal Article
- A1
- open access
Decoupled appearance and motion learning for efficient anomaly detection in surveillance video

Bo Li (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2021) COMPUTER VISION AND IMAGE UNDERSTANDING. 210.

Academic Bibliography

Automated training of location-specific edge models for traffic counting

Multi-branch neural networks for video anomaly detection in adverse lighting and weather conditions

The art of compensation: how hybrid teams solve collective risk dilemmas

The value of measuring uncertainty in neural networks in dermoscopy

The interplay between resource distributions and optimal foraging behavior : from individuals to populations

Iterative neural networks for adaptive inference on resource-constrained devices

Intelligent frame selection as a privacy-friendlier alternative to face recognition

Bayesian inverse reinforcement learning for strategy extraction in the iterated prisoner's dilemma game

From proximity to complexity : impact of network topology in dynamic collective AI

Decoupled appearance and motion learning for efficient anomaly detection in surveillance video

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