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Eduardo H. P. Pooch

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Conference and Workshop Papers

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2022
[c4]
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  - conf/wacv/KollingMGPPB22
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Camila Kolling, Martin D. Móre, Nathan Gavenski, Eduardo H. P. Pooch, Otávio Parraga, Rodrigo C. Barros:
Efficient Counterfactual Debiasing for Visual Question Answering. WACV 2022: 2572-2581
2020
[c3]
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Andrey de Aguiar Salvi, Nathan Gavenski, Eduardo H. P. Pooch, Felipe Tasoniero, Rodrigo C. Barros:
Attention-based 3D Object Reconstruction from a Single Image. IJCNN 2020: 1-8
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Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros:
Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification. TIA@MICCAI 2020: 74-83
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Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros:
Semi-supervised Classification of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 172-179

Informal and Other Publications

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2020
[i2]
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  - journals/corr/abs-2008-04738
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Andrey de Aguiar Salvi, Nathan Gavenski, Eduardo H. P. Pooch, Felipe Tasoniero, Rodrigo C. Barros:
Attention-based 3D Object Reconstruction from a Single Image. CoRR abs/2008.04738 (2020)
2019
[i1]
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Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros:
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification. CoRR abs/1909.01940 (2019)

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