activity
20232026
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 · 7 across the 5 of their papers we have counts for

collaborators
Showing 2025Show all

1 paper · 1 filter

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…