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Filipe R. Cordeiro

ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels

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Nov 03, 2024
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Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction

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Aug 10, 2023
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Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods

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Aug 07, 2023
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A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels

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Aug 23, 2022
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PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels

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Oct 22, 2021
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LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment

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Mar 06, 2021
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Noisy Label Learning for Large-scale Medical Image Classification

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Mar 06, 2021
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Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification

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Mar 05, 2021
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MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring

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Dec 05, 2020
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A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?

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Dec 05, 2020
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