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Universidade Federal de São Paulo (UNIFESP). Campus São José dos Campos. Instituto de Ciência e Tecnologia (ICT) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Currently a PhD student (CAPES scholarship), and holder of a master's degree in Computer Science (stricto sensu) from ICT/UNIFESP - Institute of Science and Technology of the Federal University of São Paulo. Former CAPES / FAPESP scholarship holder. Research interests: Machine Learning, Graph-Based Semi-Supervised Learning, Deep Learning. Research supported by FAPESP (during MSc): Label Noise Reduction in Graph-Based Semi-Supervised Learning. Supervisor: Prof.ª Drª. Lilian Berton. University: UNIFESP - Universidade Federal de São Paulo - ICT - São José dos Campos - SP. (Source: Lattes Curriculum)
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The recent growth of online content on the Web has allowed collecting more user-generated data with noisy and missing labels, e.g., data from social tags and voted labels from Amazon's Mechanical Turks. Most machine learning methods, which require accurate label sets, could not be trusted or have good performance. Graph classification has drawn increasing interests due to the rapid rising…
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