Genetic Programming Bibliography entries for Anke Meyer-Baese
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Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
GP coauthors/coeditors:
Amirhessam Tahmassebi,
A H Gandomi,
Ian McCann,
Mieke H J Schulte,
Lianne Schmaal,
Anna E Goudriaan,
Genetic Programming conference papers by Anke Meyer-Baese
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Amirhessam Tahmassebi and Amir H. Gandomi and Anke Meyer-Baese.
A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction. In
Marley Vellasco editor,
2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 2018. IEEE.
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Amirhessam Tahmassebi and Amir H. Gandomi and Anke Meyer-Baese.
An Evolutionary Online Framework for MOOC Performance Using EEG Data. In
Marley Vellasco editor,
2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 2018. IEEE.
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Amirhessam Tahmassebi and Amir H. Gandomi and Ian McCann and Mieke H. J. Schulte and Lianne Schmaal and Anna E. Goudriaan and Anke Meyer-Baese.
An evolutionary approach for fMRI big data classification. In
Jose A. Lozano editor,
2017 IEEE Congress on Evolutionary Computation (CEC), pages 1029-1036, Donostia, San Sebastian, Spain, 2017. IEEE.
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Amirhessam Tahmassebi and Amir H. Gandomi and Ian McCann and Mieke H. J. Schulte and Lianne Schmaal and Anna E. Goudriaan and Anke Meyer-Baese.
fMRI Smoking Cessation Classification Using Genetic Programming. In
Workshop on Data Science meets Optimization, Spain, 2017.
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Amirhessam Tahmassebi and Amir H. Gandomi and Anke Meyer-Baese.
High Performance GP-Based Approach for fMRI Big Data Classification. In
Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact, PEARC17, pages 57:1-57:4, New Orleans, LA, USA, 2017. ACM.
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