Genetic Programming Bibliography entries for Kai Staats

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GP coauthors/coeditors: Marco Cavaglia, Luciano Errico, Kentaro Mogushi, Hunter Gabbard, Teerth Gill, Julie A Rolla, Alexander Machtay, Alexander Patton, Wolfgang Banzhaf, Amy Connolly, Ryan Debolt, Leo Deer, Ethan Fahimi, Eliot Ferstle, P Kuzma, Carl Pfendner, Benjamin Sipe, Stephanie Wissel, Edward R Pantridge, Iurii Milovanov, Arun Aniyan,

Genetic Programming Articles by Kai Staats

• J. Rolla and A. Machtay and A. Patton and W. Banzhaf and A. Connolly and R. Debolt and L. Deer and E. Fahimi and E. Ferstle and P. Kuzma and C. Pfendner and B. Sipe and K. Staats and S. A. Wissel. Using evolutionary algorithms to design antennas with greater sensitivity to ultrahigh energy neutrinos. Physical Review D, 108:102002, 2023. details

• Marco Cavaglia and Kai Staats and Teerth Gill. Finding the origin of noise transients in LIGO data with machine learning. Communications in Computational Physics, 25(4):963-987, 2019. details

• Kai Staats. To catch a Wave: A detection story. LIGO Magazine, 2017. details

Genetic Programming conference papers by Kai Staats

• Kai Staats and Edward Pantridge and Marco Cavaglia and Iurii Milovanov and Arun Aniyan. TensorFlow Enabled Genetic Programming. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1872-1879, Berlin, Germany, 2017. ACM. details

• Marco Cavaglia and Kai Staats and Luciano Errico and Kentaro Mogushi and Hunter Gabbard. LIGO detector characterization with genetic programming. In APS April Meeting 2017, page Abstract: X6.00008, Washington, DC, USA, 2017. Bulletin of the American Physical Society. details

Genetic Programming MSc thesis Kai Staats

• Kai Staats. Genetic programming applied to RFI mitigation in radio astronomy. Master of Science , Department of Mathematics and Applied Mathematics, University of Cape town, South Africa, 2016. details

Genetic Programming other entries for Kai Staats

• Marco Cavaglia and Kai Staats and Teerth Gill. Finding the origin of noise transients in LIGO data with machine learning. 2018. details