Genetic Programming Bibliography entries for Anke Meyer-Baese

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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

1. 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. details

2. 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. details

3. 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. details

4. 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. details

5. 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. details