CV Lattes
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Universidade de São Paulo (USP). Escola Politécnica (EP) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduation at Ciência da Computação from Universidade do Oeste Paulista (2013), master's at Computer Science from Universidade Federal de Minas Gerais (2016) and doctorate at Computer Science from Universidade Federal de Minas Gerais (2020). Has experience in Computer Science, acting on the following subjects: ensemble, partial least squares, computer vision, machine learning and dimensionality reduction. (Source: Lattes Curriculum)
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Machine learning has driven unprecedented advances toward the automation of different cognitive tasks. Modern machine learning models have embraced deep neural networks (deep learning) as the central paradigm for modeling patterns from data. Despite the positive results, often, neural networks suffer from high computational overload, which imposes several technological, financial and orga…
The secret ingredient behind the unprecedented results of modern models lies in the quality and quantity of training data. This ingredient, however, imposes several computational challenges that have motivated efforts toward data distillation methods. This family of techniques produces a synthetic dataset, much smaller than the original, capable of achieving results equivalent to the init…
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