Oliver, T.
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2

Exploring new visions for a sustainable bioeconomy:

Giuntoli, J ; Oliver, T ; Kallis, G..
https://centaur.reading.ac.uk/111003/1/Exploring%20new%20visions%20for%20a%20sustainable%20bioeconomy_JRC.pdf.  , 2023
 
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3

Machine learning invariants of arithmetic curves:

He, Y.-H ; Lee, K.-H ; Oliver, T
https://westminsterresearch.westminster.ac.uk/download/81afb453e537aca15baf8e3e8faf89c13c889228b605c68b6fa6793a0fb8f0f9/432630/published-arithmetic-curves.pdf.  , 2023
 
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5

Ten new insights in climate science 2023/2024:

Bustamante, M ; Roy, J ; Ospina, D...
https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=28358.  , 2023
 
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6

Author Correction: Delineating COVID-19 subgroups using rou..:

Rangelov, B ; Young, A ; Lilaonitkul, W...
https://eprints.whiterose.ac.uk/206290/1/Author%20Correction%20Delineating%20COVID-19%20subgroups%20using%20routine%20clinical%20data%20identifies%20distinct%20in-hospital%20outcomes.pdf.  , 2023
 
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7

Machine Learning Invariants of Arithmetic Curves:

He, Y-H ; Lee, K-H ; Oliver, T
https://openaccess.city.ac.uk/id/eprint/28682/8/1-s2.0-S0747717122000839-main.pdf.  , 2023
 
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8

Climate Change, ecosystem impacts and systemic risk:

Arnell, N ; Jonsson, G ; Oliver, T..
Climate Change, ecosystem impacts and systemic risk.  , 2022
 
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9

Food System Resilience: Concepts, Issues, and Challenges:

Zurek, M ; Ingram, J ; Sanderson Bellamy, A...
https://eprints.whiterose.ac.uk/193842/1/annurev-environ-112320-050744.pdf.  , 2022
 
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11

Machine-learning the Sato-Tate conjecture:

He, Y.-H ; Lee, K.-H ; Oliver, T
https://westminsterresearch.westminster.ac.uk/download/0606729fb570def715b0b0178e8d83583dd616859b7b0050025a3dfe7344d51e/1314861/Accepted-sato-tate.pdf.  , 2022
 
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14

The Identification of Plasma Exosomal miR-423-3p as a Poten..:

Guo, T ; Wang, Y ; Jia, J...
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY.  , 2021
 
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15

Machine-learning the Sato–Tate conjecture:

He, Y-H ; Lee, K. H ; Oliver, T
https://openaccess.city.ac.uk/id/eprint/27583/1/2010.01213.pdf.  , 2021
 
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