CV Lattes
ResearcherID
ORCID
Universidade Estadual Paulista (UNESP). Campus de São José do Rio Preto. Instituto de Biociências, Letras e Ciências Exatas (IBILCE) (Institutional affiliation from the last research proposal) Birthplace: Brazil
He is a PhD in Computer Science and Computational Mathematics from the Institute of Mathematical and Computational Sciences of the University of São Paulo (ICMC/USP), a master's degree also from the ICMC/USP and a degree in Information Systems from the Federal University of Mato Grosso do Sul. He did his PhD research internship at the École Nationale Supérieure de Techniques Avancées (ENSTA, Institute Polytechnique de Paris) in France. He holds a postdoctoral degree in Computational Physics from the Physics Institute of São Carlos at USP (IFSC / USP). He is currently a Professor at the Institute of Biosciences, Letters and Exact Sciences (IBILCE) at Universidade Estadual Paulista (UNESP). He is a member or has integrated research projects on machine learning, computer vision and complex networks. He participated in 21 national and international scientific conferences. He has 16 publications in international journals and 12 in congresses. He is a reviewer for several international journals and conferences. He has been active in the research fields of Computer Vision, Mobile Computing, Pattern Recognition, Machine Learning, Artificial Neural Networks, Complex Networks and applications. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| TITULO |
| Articles published in other media outlets (0 total): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
Texture analysis is a classic yet still challenging task in computer vision, for which artificial neural networks are actively being applied. Most approaches take advantage of large and complex architectures of convolutional neural networks trained with huge databases and that demand high processing power. In contrast to these approaches based on complex architectures, Randomized Neural N…
Great efforts have been made by researchers from different areas to develop sensors and biosensors for various purposes such as early cancer diagnosis, detection of contamination in food/water, etc. In this sense, many researchers have focused on the development of new low-cost detection and diagnosis strategies. Particularly, promising results have been achieved using machine learning te…
Complex networks have been used as a study tool and contributed in several areas of science due to their interdisciplinary nature and conceptual simplicity. In computer science, networks have been used in problems of architecture, artificial intelligence, computer networks and computer vision. With regard to computational vision, several approaches have been proposed over the past decade …
Complex network is being increasingly used due to its flexibility and ability to represent and analyze any discrete system and many types of data. In this sense, pattern recognition and complex networks emerge as an important alternative in data science.Pattern recognition in networks aims the feature extraction to classify large-scale networks into several classes, instead of focusing o…
| 1 / 1 | Ongoing scholarships in Brazil |
| 2 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 4 / 4 | All Scholarships |
| Associated processes | |