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09/16/2020
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)
This paper presents an experimental comparison among four Automated Mach...
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07/31/2020
Neural Architecture Search in Graph Neural Networks
Performing analytical tasks over graph data has become increasingly inte...
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05/16/2020
A Robust Experimental Evaluation of Automated Multi-Label Classification Methods
Automated Machine Learning (AutoML) has emerged to deal with the selecti...
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11/28/2018
Multi-label classification search space in the MEKA software
This technical report describes the multi-label classification (MLC) sea...
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04/18/2018
Solving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic Programming
Advances in Geometric Semantic Genetic Programming (GSGP) have shown tha...
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07/04/2017
How Noisy Data Affects Geometric Semantic Genetic Programming
Noise is a consequence of acquiring and pre-processing data from the env...
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03/15/2017
