GP-based methods for domain adaptation: using brain decoding across subjects as a test-case

Research on classifier transferability intends that the information gathered in the solution of a given classification problem could be reused in the solution of similar or related problems. We propose the evolution of transferable classifiers based on the use of multi-objective genetic programming...

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Bibliographic Details
Published in:	Genetic programming and evolvable machines Vol. 20; no. 3; pp. 385 - 411
Main Authors:	Santana, Roberto, Marti, Luis, Zhang, Mengjie
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.09.2019 Springer Nature B.V
Subjects:	Adaptation Artificial Intelligence Biological evolution Biomedical Engineering and Bioengineering Brain Classification Classifiers Compilers Computer Science Decoding Domains Electrical Engineering Fitness Genetic algorithms Interpreters Multiple objective analysis Programming Languages Programming Techniques Software Engineering/Programming and Operating Systems Domain adaptation Genetic programming Brain signal analysis
ISSN:	1389-2576, 1573-7632
Online Access:	Get full text
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