Graduate at Computer Science (Universidade Estadual Paulista Júlio de Mesquita Filho -- UNESP, 2007), Master at Computer Science (University of Campinas -- UNICAMP, 2010), and PhD at Computer Science (University of Campinas -- UNICAMP). He has been a Visiting Scholar at University of South Florida, Tampa/Florida (04/2012 - 04/2013) under supervision of Prof. Dr. Sudeep Sarkar. Currentlly, he is a post doctorate at UNICAMP. Research is conducted in five main research areas: Machine Learning, Data Mining, Information Fusion, and Image Processing. (Source: Lattes Curriculum)
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Several machine learning techniques have relied on large labeled data sets to construct predictive models and solving supervised learning tasks. The use of deep learning techniques can be highlighted, since it have been broadly and successfully used in various domains. On the other hand, in many circumstances, the labeled sets are unavailable or insufficient to train effective supervised …
Several machine learning techniques have relied on large labeled data sets to construct predictive models and solving supervised learning tasks. The use of deep learning techniques can be highlighted, since it have been broadly and successfully used in various domains. On the other hand, in many circumstances, the labeled sets are unavailable or insufficient to train effective supervised …
This project aims at designing and deploying machine learning fusion techniques to solve multimedia retrieval and classification problems. Machine learning techniques have been successfully used in several knowlegde areas (e. g., medicine, biology, security) to complement image processing approaches toward efficient and effective solutions. In this project, we are interested in studying d…
Deep learning architectures, in particular the convolutional neural networks (CNNs) are responsible for recent research advances in computational vision and machine learning areas. Due to the fact these networks have achieved excellent results in different application domains. The resurgence of CNNs occurred in 2012 when the proposed AlexNet architecture managed to reduce the error rate o…
| 2 / 2 | Completed research grants |
| 3 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 6 / 5 | All research grants and scholarships |
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