Paulo R. L. Almeida

According to our database, Paulo R. L. Almeida authored at least 16 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Using Deep Neural Networks to Quantify Parking Dwell Time.

Marcelo Eduardo Marques Ribas, Heloisa Benedet Mendes, Luiz Eduardo Soares de Oliveira, Luiz Antonio Zanlorensi, Paulo Ricardo Lisboa de Almeida

CoRR, 2024

Optimizing Parking Space Classification: Distilling Ensembles into Lightweight Classifiers.

Paulo Luza Alves, Andre G. Hochuli, Luiz Eduardo Soares de Oliveira, Paulo R. Lisboa de Almeida

CoRR, 2024

Statistical Validation of Column Matching in the Database Schema Evolution of the Brazilian Public School Census.

Muriki G. Yamanaka, Diogo Henrique de Almeida, Paulo R. Lisboa de Almeida, Simone Dominico, Letícia M. Peres, Marcos Sfair Sunyé, Eduardo C. de Almeida

CoRR, 2024

2023

Vehicle Occurrence-Based Parking Space Detection.

Paulo R. Lisboa de Almeida, Jeovane Honório Alves, Luiz S. Oliveira, Andre Gustavo Hochuli, João V. Fröhlich, Rodrigo A. Krauel

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Distance Functions and Normalization Under Stream Scenarios.

Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto Jr., Rafael M. O. Cruz

Proceedings of the International Joint Conference on Neural Networks, 2023

Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems.

Andre Gustavo Hochuli, Jean Paul Barddal, Gillian Cezar Palhano, Leonardo Matheus Mendes, Paulo Ricardo Lisboa de Almeida

Proceedings of the International Conference on Machine Learning and Applications, 2023

Efficient Prequential AUC-PR Computation.

David L. Pereira Gomes, André Grégio, Marco Antonio Zanata Alves, Paulo R. Lisboa de Almeida

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

A systematic review on computer vision-based parking lot management applied on public datasets.

Paulo Ricardo Lisboa de Almeida, Jeovane Honório Alves, Rafael Stubs Parpinelli, Jean Paul Barddal

Expert Syst. Appl., 2022

Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems.

Andre G. Hochuli, Alceu S. Britto Jr., Paulo R. L. Almeida, Williams B. S. Alves, Fabio M. C. Cagni

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

Naïve Approaches to Deal With Concept Drifts.

Paulo Ricardo Lisboa de Almeida, Luiz S. Oliveira, Alceu de Souza Britto Jr., Jean Paul Barddal

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2018

Adapting dynamic classifier selection for concept drift.

Paulo R. L. Almeida, Luiz S. Oliveira, Alceu S. Britto Jr., Robert Sabourin

Expert Syst. Appl., 2018

2017

Adapting the dynamic selection of classifiers approach for concept drift scenarios.

Paulo Ricardo Lisboa de Almeida

PhD thesis, 2017

2016

Handling Concept Drifts Using Dynamic Selection of Classifiers.

Paulo Ricardo Lisboa de Almeida, Luiz S. Oliveira, Alceu de Souza Britto Jr., Robert Sabourin

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2015

PKLot - A robust dataset for parking lot classification.

Paulo Ricardo Lisboa de Almeida, Luiz S. Oliveira, Alceu S. Britto Jr., Eunelson Jose da Silva Junior, Alessandro L. Koerich

Expert Syst. Appl., 2015

2013

Parking Space Detection Using Textural Descriptors.

Paulo Ricardo Lisboa de Almeida, Luiz S. Oliveira, Eunelson Silva, Alceu de Souza Britto Jr., Alessandro L. Koerich

Proceedings of the IEEE International Conference on Systems, 2013

2012

Music genre classification using dynamic selection of ensemble of classifiers.

Paulo Ricardo Lisboa de Almeida, Eunelson Jose da Silva Junior, Tatiana Montes Celinski, Alceu de Souza Britto Jr., Luis Eduardo Soares de Oliveira, Alessandro Lameiras Koerich

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012