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Saikai, Yuji
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1

Deep reinforcement learning for irrigation scheduling using..:

Saikai, Yuji ; Peake, Allan ; Chenu, Karine.
PLOS Water.  2 (2023)  9 - p. e0000169 , 2023
Link: https://doi.org/10.1371/..
 
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2

The case for fully Bayesian optimisation in small-sample tr..:

, In: Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference,
Saikai, Yuji - p. 1-6 , 2022
Link: https://dl.acm.org/doi/1..
 
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3

An agent‐based model of insect resistance management and mi..:

Saikai, Yuji ; Hurley, Terrance M ; Mitchell, Paul D
Pest Management Science.  77 (2020)  1 - p. 273-284 , 2020
Link: https://doi.org/10.1002/..
 
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4

Machine learning for optimizing complex site-specific manag..:

Saikai, Yuji ; Patel, Vivak ; Mitchell, Paul D.
Computers and Electronics in Agriculture.  174 (2020)  - p. 105381 , 2020
Link: https://doi.org/10.1016/..
 
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5

Mixtures of Gaussian process experts based on kernel stick-..:

Saikai, Yuji ; Dang, Khue-Dung
http://arxiv.org/abs/2304.13833.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Deep reinforcement learning for irrigation scheduling using..:

Saikai, Yuji ; Peake, Allan ; Chenu, Karine
http://arxiv.org/abs/2301.00899.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

The case for fully Bayesian optimisation in small-sample tr..:

Saikai, Yuji
http://arxiv.org/abs/2208.13960.  , 2022
Link: http://arxiv.org/abs/220..
 
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