Items where NERC Author is "McDonald, Andrew"
Publication - Article
Coca-Castro, Alejandro ORCID: https://orcid.org/0000-0002-9264-1539; Fouilloux, Anne
ORCID: https://orcid.org/0000-0002-1784-2920; Barros Lourenço, Ricardo
ORCID: https://orcid.org/0000-0002-4158-3244; McDonald, Andrew
ORCID: https://orcid.org/0000-0001-9994-2476; Rao, Yuhan
ORCID: https://orcid.org/0000-0001-6850-3403; Hosking, Scott
ORCID: https://orcid.org/0000-0002-3646-3504.
2025
Improving the reproducibility in geoscientific papers: lessons learned from a Hackathon in climate science.
Environmental Data Science, 4.
10, pp.
10.1017/eds.2024.35
Galib, A. H.; McDonald, A. ORCID: https://orcid.org/0000-0001-9994-2476; Tan, P-N.; Luo, L..
2023
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023).
3723-3731.
10.24963/ijcai.2023/414
Publication - Book
Moreno-Rodenas, Antonio; Verbist, Koen; Mertens, Annelies; Gerritsma, Isabel; Deng, Jing; Haag, Arjen; Taner, Ümit; Nuttall, Jonathan David; Dahm, Ruben; Meshgi, Ali; Korving, Hans; Bianchini, Silvia; Tofani, Veronica; Casagli, Nicola; Ray, Patrick; Rahat, Saiful Haque; Guan, Jianzhao; Chen, Yin; Zhang, Lei; Shi, Hongling; Kaltenborn, Julia; Bente, Kim; McDonald, Andrew ORCID: https://orcid.org/0000-0001-9994-2476; Derksen, Chris; Amarnath, Giriraj.
2025
Applications of AI
for water management.
France and Deltares, United Nations Educational, Scientific and Cultural Organization, 119pp.
Publication - Conference Item
Uebbing, Lars; Joakimsen, Harald L; Luppino, Luigi T.; Martinsen, Iver; McDonald, Andrew ORCID: https://orcid.org/0000-0001-9994-2476; Wickstrøm, Kristoffer K.; Lefèvre, Sébastien; Arnt-Børre, Salberg,; Hosking, Scott J.
ORCID: https://orcid.org/0000-0002-3646-3504; Jenssen, Robert.
2025
Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting.
In: 6th Northern Lights Deep Learning Conference (NLDL), UiT The Arctic University, Tromsø, Norway, 7-9 January 2025.
ML Research Press, 245-254.