Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Pappa, Gisele L"'
Autor:
Swan, Jerry, Adriaensen, Steven, Brownlee, Alexander E. I., Hammond, Kevin, Johnson, Colin G., Kheiri, Ahmed, Krawiec, Faustyna, Merelo, J. J., Minku, Leandro L., Özcan, Ender, Pappa, Gisele L., García-Sánchez, Pablo, Sörensen, Kenneth, Voß, Stefan, Wagner, Markus, White, David R.
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 fragmentation and a lack of reproducibility, there is a pressing need
Externí odkaz:
http://arxiv.org/abs/2011.09821
Autor:
Basgalupp, Márcio P., Barros, Rodrigo C., de Sá, Alex G. C., Pappa, Gisele L., Mantovani, Rafael G., de Carvalho, André C. P. L. F., Freitas, Alex A.
This paper presents an experimental comparison among four Automated Machine Learning (AutoML) methods for recommending the best classification algorithm for a given input dataset. Three of these methods are based on Evolutionary Algorithms (EAs), and
Externí odkaz:
http://arxiv.org/abs/2009.07430
Autor:
Nunes, Matheus, Pappa, Gisele L.
Performing analytical tasks over graph data has become increasingly interesting due to the ubiquity and large availability of relational information. However, unlike images or sentences, there is no notion of sequence in networks. Nodes (and edges) f
Externí odkaz:
http://arxiv.org/abs/2008.00077
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 effective methods were introduced, especially for traditional classification
Externí odkaz:
http://arxiv.org/abs/2005.08083
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 and meta-algorithms in MEKA, presenting their main characteristics, su
Externí odkaz:
http://arxiv.org/abs/1811.11353
Autor:
Martins, Joao Francisco B. S., Oliveira, Luiz Otavio V. B., Miranda, Luis F., Casadei, Felipe, Pappa, Gisele L.
Advances in Geometric Semantic Genetic Programming (GSGP) have shown that this variant of Genetic Programming (GP) reaches better results than its predecessor for supervised machine learning problems, particularly in the task of symbolic regression.
Externí odkaz:
http://arxiv.org/abs/1804.06808
Autor:
Swan, Jerry, Adriaensen, Steven, Brownlee, Alexander E.I., Hammond, Kevin, Johnson, Colin G., Kheiri, Ahmed, Krawiec, Faustyna, Merelo, J.J., Minku, Leandro L., Özcan, Ender, Pappa, Gisele L., García-Sánchez, Pablo, Sörensen, Kenneth, Voß, Stefan, Wagner, Markus, White, David R.
Publikováno v:
In European Journal of Operational Research 1 March 2022 297(2):393-406
Autor:
Miranda, Luis F., Oliveira, Luiz Otavio V. B., Martins, Joao Francisco B. S., Pappa, Gisele L.
Noise is a consequence of acquiring and pre-processing data from the environment, and shows fluctuations from different sources---e.g., from sensors, signal processing technology or even human error. As a machine learning technique, Genetic Programmi
Externí odkaz:
http://arxiv.org/abs/1707.01046
Autor:
Albinati, Julio, Meira Jr., Wagner, Pappa, Gisele L., Teixeira, Mauro, Marques-Toledo, Cecilia
Epidemiological early warning systems for dengue fever rely on up-to-date epidemiological data to forecast future incidence. However, epidemiological data typically requires time to be available, due to the application of time-consuming laboratorial
Externí odkaz:
http://arxiv.org/abs/1705.07879
Active search (AS) on graphs focuses on collecting certain labeled nodes (targets) given global knowledge of the network topology and its edge weights under a query budget. However, in most networks, nodes, topology and edge weights are all initially
Externí odkaz:
http://arxiv.org/abs/1703.05082