Cedric De Boom

Dermatologist versus artificial intelligence confidence in dermoscopy diagnosis : complementary information that may affect decision-making

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

(2023) EXPERIMENTAL DERMATOLOGY. 32(10). p.1744-1751

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Neural Bayesian network understudy

Paloma Rabaey (UGent) , Cedric De Boom and Thomas Demeester (UGent)

(2022) Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022), NeurIPS2022, Proceedings.

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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, Bert Vankeirsbilck (UGent) , Evelien Verhaeghe (UGent) , Sofie Mylle (UGent) , Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2022) JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY. 87(5). p.1191-1193

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Model reduction through progressive latent space pruning in deep active inference

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

(2022) FRONTIERS IN NEUROROBOTICS. 16.

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Data-efficient sensor upgrade path using knowledge distillation

Pieter Van Molle (UGent) , Cedric De Boom, 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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Dynamic narrowing of VAE bottlenecks using GECO and L0 regularization

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

(2021) 2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). In IEEE International Joint Conference on Neural Networks (IJCNN)

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A learning gap between neuroscience and reinforcement learning

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

(2021) BRAIN2AI, How Can Findings About The Brain Improve AI Systems, ICLR 2021 Workshop, Proceedings.

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Active vision for robot manipulators using the free energy principle

Toon Van de Maele (UGent) , Tim Verbelen (UGent) , Ozan Catal, Cedric De Boom and Bart Dhoedt (UGent)

(2021) FRONTIERS IN NEUROROBOTICS. 15.

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Sigmoidal NMFD : convolutional NMF with saturating activations for drum mixture decomposition

Len Vande Veire, Cedric De Boom and Tijl De Bie (UGent)

(2021) ELECTRONICS. 10(3).

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Anomaly detection for autonomous guided vehicles using Bayesian surprise

Ozan Catal, Sam Leroux (UGent) , Cedric De Boom, Tim Verbelen (UGent) and Bart Dhoedt (UGent)

(2020) 2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS). In IEEE International Conference on Intelligent Robots and Systems p.8148-8153

Academic Bibliography

Cedric De Boom

Dermatologist versus artificial intelligence confidence in dermoscopy diagnosis : complementary information that may affect decision-making

Neural Bayesian network understudy

The value of measuring uncertainty in neural networks in dermoscopy

Model reduction through progressive latent space pruning in deep active inference

Data-efficient sensor upgrade path using knowledge distillation

Dynamic narrowing of VAE bottlenecks using GECO and L0 regularization

A learning gap between neuroscience and reinforcement learning

Active vision for robot manipulators using the free energy principle

Sigmoidal NMFD : convolutional NMF with saturating activations for drum mixture decomposition

Anomaly detection for autonomous guided vehicles using Bayesian surprise

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