Alceu Bissoto holds a M.Sc and a Ph.D degree in Computer Science from the Institute of Computing at University of Campinas (UNICAMP). Currently, Alceu is a Postdoc Researcher at University of Bern, Switzerland. He researches AI for medicine, focusing on understanding and mitigating biases, and increasing robustness. In 2018, 2019 and 2020, he won the Google Latin America Research Awards (LARA). (Source: Lattes Curriculum)
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Melanoma is the deadliest form of Skin Cancer. Automated skin lesion analysis can play an important role for early detection, which is crucial for patient's treatment. Deep neural networks are the current state-of-the-art for skin lesion analysis, but the lack of annotated data limits classification performance. We started in 2017 to generate annotated data for our classification models w…
Deep learning achieved amazing success in computer vision, and natural language processing. Spurious correlations (biases) in data are able to poison models, causing lack of generalization to out-of-distribution data, which is an obstacle for the application of deep learning to real-world problems as medical imaging. Despite the existence of robust learning algorithms, their performance h…
| 1 / 1 | Completed scholarships in Brazil |
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