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
bachelor's at Licenciatura em Ciências Habilitação Matemática from Universidade Federal de Uberlândia (1986), master's at Ciências de Computação e Matemática Computacional from Universidade de São Paulo (1990) and doctorate at Engenharia Mecânica - São Carlos from Universidade de São Paulo (1993). Has experience in Computer Science, focusing on Methodology and Computational Techniques - Artificial Intelligence, acting on data and text mining. (Source: Lattes Curriculum)
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The objective of this proposal is to present the strategy for the creation of the Center of Excellence in Applied Research in Artificial Intelligence (AI) for Industry (CPA-IA), acknowledged at national and international level by the research, development and implementation of a multiuser open digital data science and AI platform for Industry 4.0, in order to leverage the modernization, c…
A holobiont is constituted by a host and its whole ecological community of associated microbes. It is a unit of evolution, and the holobiont selection is a major evolutionary force. One feature which it is still poorly addressed is the role of secondary metabolites in microbes-host relationships, as well as in chemically mediated interactions between holobionts (the microbes-host ensemble…
Text Mining techniques have become essential for supporting text analysis and knowledge discovery as the volume and variety of digital text documents have increased, either in social networks and the Web or inside organizations. Despite the application task or applied technique, the treatment of text semantics is an important challenge of the Text Mining process. The challenge is even big…
The project "e-SHARE Miner: Information management supported by the discovery of knowledge via taxonomy of topics", executed by Itera, came with the objective of allying document management, presented in Electronic Document Management (GED) software e-SHARE, with the knowledge management, accomplished by the incorporation of techniques of Text Mining that allow the reduction of the time a…
The popularization of textual content published in web platforms has motivated the development of methods for automatic knowledge extraction from texts. Particularly, a new range of applications and studies have been proposed to use the web as a powerful "social sensor". This allows to identify and monitor events published in news portals and social networks as epidemics detection, sentim…
(Only some records are available in English at this moment)
Data mining has been successfully applied in several domains to extract knowledge from different media types. In the context of images, part of this process can be supported by deep learning methods, including convolutional neural networks. State-of-the-art in many visual recognition tasks, these methods can learn directly from unstructured data. However, they are generally perceived as b…
In this project, we will explore the use of state-of-the-art methods to speed-up training and testing times of deep learning models. We are also interested in developing novel techniques for training these models with a limited amount of data. For speed-up, we will explore custom hardware such as Graphical Processing Units (GPUs) for training and embedded hardware for testing. We will als…
Users face difficulties to choose products and services on the Web because of the wide range of choices. In this context, the recommendation systems aim to help users identify items of interest in a set of options. Traditional approaches focus on recommending more relevant items to individual users, not taking into account the users' context. However, in many real-world applications, usin…
Users face difficulties in choosing products and services on the Web due to the wide variety of options available. Recommendation systems are systems that aim to help users identify items of interest in a set of options. Traditional approaches to recomender systems focus on recommending more relevant items to individual users, not taking into account their context. Among these techniques …
Text Mining techniques for supporting knowledge discovery become essential as the volume and variety of digital text documents increase, either in social networks, web or inside the organizations. As well as the text sources, the possibilities of Text Mining applications are varied. Applications and researches have been developed with the goal of using the web as a powerful social sensor.…
(Only some records are available in English at this moment)
In text mining, traditional text representation are based on the frequency of words in the documents. Although good results for automatic text classification can be achieved with the use of this bag-of-words representation, such representation model is not suitable for all classification problems and richer text representations can be required. The objective of this internship project is …
The Text Mining process (MT) has been used to transform, automatically or semi-automatically, large textual databases into useful knowledge. One of the most important steps in this process is term extraction. Drawing on previous work, the proposed project aims to explore and evaluate measures and features that can be used for term extraction in online forums, i.e. user generated content i…
| 2 / 2 | Ongoing research grants |
| 6 / 5 | Completed research grants |
| 3 / 3 | Ongoing scholarships in Brazil |
| 19 / 13 | Completed scholarships in Brazil |
| 2 / 2 | Completed scholarships abroad |
| 32 / 25 | All research grants and scholarships |
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