CV Lattes
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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
Currently is an Associate Professor with the Graduate Program in Informatics (PPGIa) of the Pontifical Catholic University of Parana (PUCPR), Brazil. Earlier, he was a Postdoctoral Research Fellow at the University of New Mexico, USA. He is Ph.D. in Computer Science and Computational Mathematics (2016) at the University of Sao Paulo, Brazil. Dr. Souza has authored over 40 articles in peer-reviewed conferences and journals, including Data Mining and Knowledge Discovery, Information Sciences, Engineering Applications of Artificial Intelligence, IEEE-ICDM, IEEE-BigData, and SIAM-SDM. His research interests include data mining, evolving data streams, and time series mining in applications involving smart sensors, public health, entomology, and agriculture. (Source: Lattes Curriculum)
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In Brazil and abroad, the road system has a key role in the transport of passengers and cargo. In the cargo transportation sector, the road system is responsible for 61% of national movements and in relation to passenger transport, it dominates with 95% of share. Although fundamental to the society and economic growth, it is observed that the infrastructure of the most of the streets and …
Dengue is the most important viral disease transmitted by mosquitoes and one of the major public health concerns in Brazil and most of the tropical and subtropical countries in of the world. Dengue epidemics are also responsible for a significant economic and social impact on the populations in which they occur. Currently, due to lack of an effective vaccine against dengue, epidemics can …
Insects are undoubtedly important to agriculture, the environment and human health. Many insect species are beneficial to the environment and humans. For example, insects are responsible for pollinating at least two-thirds of all food consumed in the world. Due to its importance to humans, the recent decline in populations of pollinator insects, especially bees, is considered a serious en…
(Only some records are available in English at this moment)
Applications as sensors are responsible for generate a large quantity of data. Such data may form a continuous and orderly flow of information that arrive over time. The classification of these data in real time with machine learning algorithms is an important task for a large number of real applications. However, a frequent assumption is that the data used in classifier training phase ar…
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