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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
A Ph.D. holder in Computer Science and Computational Mathematics from the Institute of Mathematical and Computer Sciences (ICMC) at the University of São Paulo (USP), with a Master's degree in Computer Science, and a bachelor's degree in Interdisciplinary Science and Technology and Computer Engineering from the Federal University of Maranhão (UFMA). Received a scholarship from FAPEMA during the master's program and an FAPESP scholarship during the Ph.D. Engaged in a year-long research internship at the Faculty of Engineering, University of Porto. Specializes in applied machine learning, time series analysis and forecasting, and metalearning. (Source: Lattes Curriculum)
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Time series forecasting has been applied in several real word problems to support the decision-making process, for example Electroencephalogram (EEG) analysis, energy consumption, financial stock market and others. However these experiments usually demand long time to select the best model for decision making. Also for this domain need specific knowledge of the time-serie kind for making …
Forecasting is one of the main tasks of time series analysis. Selecting forecasting models is a crucial decision-making step in many real-world applications. To obtain forecasts that best explain the variables of interest in the future, it is necessary to select the model that best fits a given time series. However, the selection task can be quite computationally expensive due to many ava…
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