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Disambiguation of "Carneiro, Gustavo"

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Smart Mining for Deep Metric Learning.

, , , , and . ICCV, page 2840-2848. IEEE Computer Society, (2017)

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Clarisse Carneiro

Carneiro Leão

Gustavo Corni

Besiegelte Freundschaft: die brandenburgischen Erbeinungen und Erbverbrüderungen im späten Mittelalter. Uni Frankfurt Main, (2008)

Gustavo Grupe

Gustavo Publio University of Leipzig

 

Other publications of authors with the same name

Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification., , , , , and . MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 426-436. Springer, (2021)Self-Supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging., , , , and . MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 670-680. Springer, (2021)Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection., , , , , , , and . MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 88-98. Springer, (2022)Test Time Transform Prediction for Open Set Histopathological Image Recognition., , , , , and . MICCAI (2), volume 13432 of Lecture Notes in Computer Science, page 263-272. Springer, (2022)Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history., , , and . Computer Vision and Image Analysis of Art, volume 7869 of SPIE Proceedings, page 786905. SPIE, (2011)Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy., , , , and . MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 594-603. Springer, (2020)A Bayesian Data Augmentation Approach for Learning Deep Models., , , , and . NIPS, page 2797-2806. (2017)Hidden stratification causes clinically meaningful failures in machine learning for medical imaging, , , and . Proceedings of the ACM conference on health, inference, and learning, page 151--159. (2020)Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract)., , and . CoRR, (2020)Instance-Dependent Noisy Label Learning via Graphical Modelling., , , , and . CoRR, (2022)