67 citations · 155 across the 13 of their papers we have counts for
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cs.LG2021
A Broad Ensemble Learning System for Drifting Stream Classification
Sepehr Bakhshi, Pouya Ghahramanian, Hamed Bonab +1
In a data stream environment, classification models must handle concept drift efficiently and effectively. Ensemble methods are widely used for this purpose; however, the ones avai…
cs.LG2021★ 1 cited
On-the-Fly Ensemble Pruning in Evolving Data Streams
Sanem Elbasi, Alican Büyükçakır, Hamed Bonab +1
Ensemble pruning is the process of selecting a subset of componentclassifiers from an ensemble which performs at least as well as theoriginal ensemble while reducing storage and co…