2 citations · 3 across the 4 of their papers we have counts for
4 papers
An Ensemble-Based Self-Taught Learning Approach for Parking Space Classification Under Limited Data
Lucas de Oliveira Cunha, Joelton Deonei Gotz, Paulo Lisboa de Almeida +1
Parking spot classification is a fundamental task in intelligent transportation systems, yet most deep learning approaches rely on large amounts of annotated data and exhibit limit…
Statistical Validation of Column Matching in the Database Schema Evolution of the Brazilian Public School Census
Muriki G. Yamanaka, Diogo H. de Almeida, Paulo R. Lisboa de Almeida +4
Publicly available datasets are subject to new versions, with each new version potentially reflecting changes to the data. These changes may involve adding or removing attributes,…
Distance Functions and Normalization Under Stream Scenarios
Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto +1
Data normalization is an essential task when modeling a classification system. When dealing with data streams, data normalization becomes especially challenging since we may not kn…
Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems
Andre G. Hochuli, Alceu S. Britto, Paulo R. L. de Almeida +2
When using vision-based approaches to classify individual parking spaces between occupied and empty, human experts often need to annotate the locations and label a training set con…