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Fabio De Sousa Ribeiro
Fabio De Sousa Ribeiro
Nama lainnyaFabio D. S. Ribeiro
Email yang diverifikasi di imperial.ac.uk
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Tahun
Capsule routing via variational bayes
F De Sousa Ribeiro, G Leontidis, S Kollias
Proceedings of the AAAI Conference on Artificial Intelligence 34, 3749-3756, 2020
1142020
A deep learning approach to anomaly detection in nuclear reactors
F Caliva*, F De Sousa Ribeiro*, A Mylonakis, C Demazi’ere, P Vinai, ...
IEEE International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
1062018
An end-to-end deep neural architecture for optical character verification and recognition in retail food packaging
F De Sousa Ribeiro, L Gong, F Calivá, M Swainson, K Gudmundsson, ...
IEEE International Conference on Image Processing (ICIP), 2018
522018
Deep Bayesian self-training
F De Sousa Ribeiro, F Calivá, M Swainson, K Gudmundsson, G Leontidis, ...
Neural Computing and Applications, 1-17, 2019
492019
Introducing routing uncertainty in capsule networks
F De Sousa Ribeiro, G Leontidis, S Kollias
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
472020
High fidelity image counterfactuals with probabilistic causal models
FDS Ribeiro, T Xia, M Monteiro, N Pawlowski, B Glocker
International Conference on Machine Leaning (ICML), 2023
292023
An adaptable deep learning system for optical character verification in retail food packaging
F De Sousa Ribeiro, F Caliva, M Swainson, K Gudmundsson, G Leontidis, ...
IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2018
292018
Towards a deep unified framework for nuclear reactor perturbation analysis
F De Sousa Ribeiro, F Calivá, D Chionis, A Dokhane, A Mylonakis, ...
IEEE Symposium Series on Computational Intelligence (SSCI), 120-127, 2018
282018
Object-Centric Learning with Capsule Networks: A Survey
F De Sousa Ribeiro, K Duarte, M Everett, G Leontidis, M Shah
ACM Computing Surveys, 2024
24*2024
Measuring Axiomatic Soundness of Counterfactual Image Models
M Monteiro*, F De Sousa Ribeiro*, N Pawlowski, DC Castro, B Glocker
International Conference on Learning Representations (ICLR), 2023
222023
A causal perspective on dataset bias in machine learning for medical imaging
C Jones, DC Castro, F De Sousa Ribeiro, O Oktay, M McCradden, ...
Nature Machine Intelligence, 1-9, 2024
212024
Neutron noise-based anomaly classification and localization using machine learning
C Demazière, A Mylonakis, P Vinai, A Durrant, FDS Ribeiro, J Wingate, ...
EPJ Web of Conferences 247, 21004, 2021
142021
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed
M Bernhardt, F De Sousa Ribeiro, B Glocker
Transactions on Machine Learning Research (TMLR), 2022
62022
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging
C Jones, DC Castro, FDS Ribeiro, O Oktay, M McCradden, B Glocker
arXiv preprint arXiv:2307.16526, 2023
42023
Unsupervised conditional slot attention for object centric learning
A Kori, F Locatello, F De Sousa Ribeiro, F Toni, B Glocker
International Conference on Learning Representations (ICLR), 2023
32023
Grounded Object-Centric Learning
A Kori, F Locatello, FDS Ribeiro, F Toni, B Glocker
The Twelfth International Conference on Learning Representations, 2023
32023
Counterfactual contrastive learning: robust representations via causal image synthesis
M Roschewitz, F de Sousa Ribeiro, T Xia, G Khara, B Glocker
MICCAI Workshop on Data Engineering in Medical Imaging, 22-32, 2024
22024
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
A Kori*, F Locatello, A Santhirasekaram, F Toni, B Glocker, FDS Ribeiro*
Advances in Neural Information Processing Systems (NeurIPS 2024), 2024
22024
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation
M Rosnati, F De Sousa Ribeiro, M Monteiro, DC de Castro, B Glocker
Proceedings of the 2nd Machine Learning for Health symposium, PMLR, 2022
22022
Mitigating attribute amplification in counterfactual image generation
T Xia, M Roschewitz, F De Sousa Ribeiro, C Jones, B Glocker
International Conference on Medical Image Computing and Computer-Assisted …, 2024
12024
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