Genetic Programming Bibliography entries for Tayo Obafemi-Ajayi
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Created by W.Langdon from
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GP coauthors/coeditors:
Attri Ghosh,
Philip J Freda,
Shane Shahrestani,
Andre E Boyke,
Alena Orlenko,
Hyunjun Choi,
Nicholas Matsumoto,
Jason H Moore,
Corey T Walker,
Binglan Li,
Neda Khanjani,
Mythreye Venkatesan,
Li Shen,
Marylyn D Ritchie,
Zhiping Paul Wang,
Genetic Programming Articles by Tayo Obafemi-Ajayi
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Attri Ghosh and Philip J. Freda and Shane Shahrestani and Andre E. Boyke and Alena Orlenko and Hyunjun Choi and Nicholas Matsumoto and Tayo Obafemi-Ajayi and Jason H. Moore and Corey T. Walker.
Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion.
The Spine Journal, 2025.
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Genetic Programming conference papers by Tayo Obafemi-Ajayi
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Alena Orlenko and Binglan Li and Neda Khanjani and Mythreye Venkatesan and Li Shen and Marylyn D. Ritchie and Zhiping Paul Wang and Tayo Obafemi-Ajayi and Jason H. Moore.
A random-walk-based learning framework to uncover novel gene candidates for Alzheimer's disease therapy. In
Russ B Altman and Lawrence Hunter and Marylyn D. Ritchie and Tiffany Murray and Teri E. Klein editors,
BIOCOMPUTING 2026, Pacific Symposium on Biocomputing, pages 815-829, Kohala Coast, Hawaii, USA, 2026. World Scientific Publishing Co. Pte. Ltd.
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