Landt-Hayen, Marco
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1

Exploring methods of explainable AI 

data-driven attribution of climate events  Kiel Computer Science Series ; 2023,5
 
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CICMoD - A Climate Index Collection Benchmark (Data and Res..:

, In: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems,
 
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Reconstruct Geospatial Data from Ultra Sparse Inputs to Pre..:

, In: 2023 IEEE 19th International Conference on e-Science (e-Science),
 
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A Bottom-Up Sampling Strategy for Reconstructing Geospatial..:

, In: Advanced Data Mining and Applications; Lecture Notes in Computer Science,
 
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Exploring Methods of Explainable AI: Data-driven Attributio..:

Landt-Hayen, Marco
https://nbn-resolving.org/urn:nbn:de:gbv:8:3-2023-00794-6.  , 2023
 
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A climate index collection based on model data:

Landt-Hayen, Marco ; Rath, Willi ; Wahl, Sebastian...
https://oceanrep.geomar.de/id/eprint/58622/1/a-climate-index-collection-based-on-model-data.pdf.  , 2023
 
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10

Exploring Methods of Explainable AI - Data-driven Attributi..:

Landt-Hayen, Marco
https://oceanrep.geomar.de/id/eprint/59430/1/Dissertation_MarcoLandtHayen_final.pdf.  , 2023
 
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GitHub Repository MarcoLandtHayen/climate_index_collection:..:

Landt-Hayen, Marco ; Rath, Willi ; Wahl, Sebastian.
https://github.com/MarcoLandtHayen/climate_index_collection/tree/v2022.12.15.1.  , 2022
 
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14

GitHub Repository MarcoLandtHayen/climate_index_collection:..:

Landt-Hayen, Marco ; Rath, Willi ; Wahl, Sebastian.
https://github.com/MarcoLandtHayen/climate_index_collection/tree/v2022.12.14.1.  , 2022
 
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