activity
20172022
most citedImproving the performance of bagging ensembles for data streams through mini-batching

17 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 3 cited

Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing

Guilherme Cassales, Heitor Gomes, Albert Bifet +2

In recent years, the Edge Computing (EC) paradigm has emerged as an enabling factor for developing technologies like the Internet of Things (IoT) and 5G networks, bridging the gap…

cs.CE2022

-- A Finite Difference Simulator for Acoustic Waves Propagation

Jaime Freire de Souza, João Baptista Dias Moreira, Keith Jared Roberts +4

is an open-source Python package to perform wave simulations in 2D or 3D domains. It solves the constant and variable density acoustic wave equation with the finite…

cs.LG2021★ 17 cited

Improving the performance of bagging ensembles for data streams through mini-batching

Guilherme Cassales, Heitor Gomes, Albert Bifet +2

Often, machine learning applications have to cope with dynamic environments where data are collected in the form of continuous data streams with potentially infinite length and tra…

cs.PF2019

Performance of Devito on HPC-Optimised ARM Processors

Hermes Senger, Jaime F. de Souza, Edson S. Gomi +2

We evaluate the performance of Devito, a domain specific language (DSL) for finite differences on Arm ThunderX2 processors. Experiments with two common seismic computational kernel…

cs.LG2017★ 1 cited

Modelling Energy Consumption based on Resource Utilization

Lucas Venezian Povoa, Cesar Marcondes, Hermes Senger

Power management is an expensive and important issue for large computational infrastructures such as datacenters, large clusters, and computational grids. However, measuring energy…