Search Results - "Lisboa de Almeida, Paulo R."

Efficient Prequential AUC-PR Computation by Pereira Gomes, David L., Gregio, Andre, Zanata Alves, Marco A., Lisboa de Almeida, Paulo R.

“…When dealing with classification problems for data streams, we often need to compute the classification metrics in a prequential manner. The Area Under the…”
Get full text

Distance Functions and Normalization Under Stream Scenarios by Barboza, Eduardo V. L., de Almeida, Paulo R. Lisboa, de Souza Britto, Alceu, Cruz, Rafael M. O.

“…Data normalization is an essential task when modeling a classification system. When dealing with data streams, data normalization becomes especially…”
Get full text

Vehicle Occurrence-based Parking Space Detection by de Almeida, Paulo R. Lisboa, Alves, Jeovane Honório, Oliveira, Luiz S, Hochuli, Andre Gustavo, Fröhlich, João V, Krauel, Rodrigo A

“…Smart-parking solutions use sensors, cameras, and data analysis to improve parking efficiency and reduce traffic congestion. Computer vision-based methods have…”
Get full text

Naïve Approaches to Deal With Concept Drifts by Lisboa de Almeida, Paulo R., Oliveira, Luiz S., Souza Britto, Alceu de, Paul Barddal, Jean

“…A common problem in machine learning is to find representative real-world labeled datasets to put the methods to test. When developing approaches to deal with…”
Get full text

Statistical Validation of Column Matching in the Database Schema Evolution of the Brazilian Public School Census by Yamanaka, Muriki G, de Almeida, Diogo H, de Almeida, Paulo R. Lisboa, Dominico, Simone, Peres, Leticia M, Sunye, Marcos S, de Almeida, Eduardo C

“…Publicly available datasets are subject to new versions, with each new version potentially reflecting changes to the data. These changes may involve adding or…”
Get full text

Distance Functions and Normalization Under Stream Scenarios by Barboza, Eduardo V. L, de Almeida, Paulo R. Lisboa, BrittoJr, Alceu de Souza, Cruz, Rafael M. O

“…Data normalization is an essential task when modeling a classification system. When dealing with data streams, data normalization becomes especially…”
Get full text

Handling Concept Drifts Using Dynamic Selection of Classifiers by Lisboa De Almeida, Paulo R., Oliveira, Luiz S., De Souza Britto, Alceu, Sabourin, Robert

“…This work describes the Dynse framework, which uses dynamic selection of classifiers to deal with concept drift. Basically, classifiers trained on new…”
Get full text