92 citations · 101 across the 5 of their papers we have counts for
9 papers
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network
Gan Ruan, Leandro L. Minku, Zhao Xu +1
Intelligent techniques are urged to achieve automatic allocation of the computing resource in Open Radio Access Network (O-RAN), to save computing resource, increase utilization ra…
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model
Gustavo Oliveira, Leandro Minku, Adriano Oliveira
Real-world applications have been dealing with large amounts of data that arrive over time and generally present changes in their underlying joint probability distribution, i.e., c…
Metaheuristics "In the Large"
Jerry Swan, Steven Adriaensen, Alexander E. I. Brownlee +13
Following decades of sustained improvement, metaheuristics are one of the great success stories of optimization research. However, in order for research in metaheuristics to avoid…
Multi-Source Transfer Learning for Non-Stationary Environments
Honghui Du, Leandro L. Minku, Huiyu Zhou
In data stream mining, predictive models typically suffer drops in predictive performance due to concept drift. As enough data representing the new concept must be collected for th…
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku +2
This paper claims that a new field of empirical software engineering research and practice is emerging: data mining using/used-by optimizers for empirical studies or DUO. For examp…
A Systematic Study of Cross-Project Defect Prediction With Meta-Learning
Faimison Porto, Leandro Minku, Emilia Mendes +1
The prediction of defects in a target project based on data from external projects is called Cross-Project Defect Prediction (CPDP). Several methods have been proposed to improve t…