most citedIncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift

6 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025★ 6 cited

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift

Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto +2

Data streams pose challenges not usually encountered in batch-based ML. One of them is concept drift, which is characterized by the change in data distribution over time. Among man…

cs.CV2019★ 3 cited

Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents

Kelly Lais Wiggers, Alceu de Souza Britto Junior, Alessandro Lameiras Koerich +2

This paper describes two approaches for content-based image retrieval and pattern spotting in document images using deep learning. The first approach uses a pre-trained CNN model t…