88 citations · 178 across the 12 of their papers we have counts for
13 papers
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…
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)
Márcio P. Basgalupp, Rodrigo C. Barros, Alex G. C. de Sá +4
This paper presents an experimental comparison among four Automated Machine Learning (AutoML) methods for recommending the best classification algorithm for a given input dataset.…
Neural Architecture Search in Graph Neural Networks
Matheus Nunes, Gisele L. Pappa
Performing analytical tasks over graph data has become increasingly interesting due to the ubiquity and large availability of relational information. However, unlike images or sent…
A Robust Experimental Evaluation of Automated Multi-Label Classification Methods
Alex G. C. de Sá, Cristiano G. Pimenta, Gisele L. Pappa +1
Automated Machine Learning (AutoML) has emerged to deal with the selection and configuration of algorithms for a given learning task. With the progression of AutoML, several effect…
Multi-label classification search space in the MEKA software
Alex G. C. de Sá, Cristiano G. Pimenta, Gisele L. Pappa +1
This supplementary material aims to describe the proposed multi-label classification (MLC) search spaces based on the MEKA and WEKA softwares. First, we overview 26 MLC algorithms…
Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach
Luiz Otavio Vilas Boas Oliveira, Joao Francisco Barreto da Silva Martins, Luis Fernando Miranda +1
The definition of a concise and effective testbed for Genetic Programming (GP) is a recurrent matter in the research community. This paper takes a new step in this direction, propo…