PiggyCast: Improving weather prediction accuracy through a stacking-based ensemble AI approach
Climate Change AI - NeurIPS 2025 Accepted Work
Saved in:
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Language: | English |
| Published: |
[Erscheinungsort nicht ermittelbar]
Climate Change AI
2025
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| In: | Sonderdruck aus: PiggyCast: Improving weather prediction accuracy through a stacking-based ensemble AI approach Paper #121 (2025) |
| Subjects: | |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://www.climatechange.ai/papers/neurips2025/121
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| Author Notes: | authors: Josiah K. Kimani, African Institute for Mathematical Sciences (AIMS), South Africa; Oliver Angélil, PhD - Ishango.ai, Switzerland; Chris Fotso - Ishango.ai, Germany; Steffen Knoblauch, PhD - Heidelberg University, Germany |
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