Graduate at Computer Science from Universidade de São Paulo (2001) and PhD at Computer Science from Universidade de São Paulo - São Carlos (2006). Professor at Instituto Tecnológico de Aeronáutica (ITA). Has experience in Computer Science, focusing on Artificial Intelligence, acting on the following subjects: supervised Machine Learning, Data Mining, Data Science. (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) |
The area of Meta-learning (MtL) leverages onknowledge from problems for which successful Machine Learning (ML) solutions are known to support automated algorithm selection for new problems. But far more meta-knowledge can be extracted by relating data properties to algorithmic performance, a topic which remains under-explored compared to the usage of MtL for automated algorithm selection.…
Machine Learning (ML) techniques have been successfully employed in the solution of various data classification problems. Recently some studies are devoted to understand how quantitative measures quantifying the complexity of data sets used for classification, such as the geometric overlap between classes, affects the performance of ML techniques. Among the contributions of this approach …
Ensemble learning is a popular strategy to take advantage of classification techniques with distinct biases, by joining their competences and capabilities. This work will investigate strategies to generate ensembles of classifiers based on their competences as evaluated by a meta-learning strategy. Nonetheless, joining different classifiers is profitable only when their errors are uncorre…
Various issues can deteriorate data quality in Machine Learning. Among them, one may cite the quality of the features, which can be impaired by the presence of noise and missing data. Noise can be inputted in data in several steps during data collection, storage and transmission. In supervised problems, they can be present both in the labels and in the predictive input features. Missing v…
Whenever a new supervised Machine Learning (ML) algorithm or solu- tion is developed, it is imperative to evaluate the predictive performance it attains for diverse datasets. This is done in order to stress out the strengths and weak- nesses of the algorithms and evidence for which situations they are most useful. A common practice is to gather some datasets from public benchmark reposito…
Various space agencies are interested in monitoring the passage of meteors in Earth's atmosphere, such as NASA, that developed the CAMS project (Cameras for Allsky Meteor Surveillance). In Brazil, the EXOSS (Exploring the Southern Sky) organization uses citizen science to monitor the night sky, relying on low budget stations that are mounted by professional and amateur astronomers across …
Many practical problems involve distinguishing data from multiple classes. One possible approach to deal with such multiclass classification problems is to decompose them into several binary sub-problems and combine their solutions. The One-versus-One decomposition, which generates a binary subproblem for each pair of classes is one of the most widely used decomposition strategies. Standa…
In the current era, with the emergence of the so-called digital identity, identity theft has gained new momentum. In view of this scenario, new user authentication mechanisms were developed. However, these processes are generally applied only in the system startup. Consequently, the system would be vulnerable in case the user leaves the workstation and do not end the session.With the aim …
(Only some records are available in English at this moment)
The areas of Meta-learning (MtL) and Automatic Machine Learning (AutoML) have emerged in the last years with successful solutions to ease the usage of Machine Learning (ML) techniques by interested end-users with low expertise in ML. Usually the MtL and AutoML solutions leverage on knowledge from problems for which the solutions are known, gathered in public repositories. One popular repo…
| 1 / 1 | Ongoing research grants |
| 5 / 3 | Completed research grants |
| 3 / 3 | Ongoing scholarships in Brazil |
| 6 / 4 | Completed scholarships in Brazil |
| 1 / 1 | Ongoing scholarships abroad |
| 16 / 12 | All research grants and scholarships |
| Associated processes | |
CV Lattes
ORCID