Integrated Residue Management

Articles in peer reviewed journals [2 Results]

• Bommer, P.; Kretschmer, M.; Hedström, A.; Bareeva, D.; Höhne, M. (2024): Finding the right XAI Method - A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science. Artificial Intelligence for the Earth Systems (AIES). : p. 1-55. Online: https://doi.org/10.1175/AIES-D-23-0074.1
• Hedström, A.; Bommer, P.; Wickstrøm, K.; Samek, W.; Lapuschkin, S.; Höhne, M. (2023): The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus. Transactions on Machine Learning Research. (06): p. 1-35. Online: https://openreview.net/forum?id=j3FK00HyfU

Book chapters and proceedings [3 Results]

• Bommer, P.; Kretschmer, M.; Boehnke, P.; Höhne, M. (2024): Using spatio-temporal neural networks to investigating teleconnections and enhance S2S forecasts of european extreme weather. In: EGU General Assembly 2024 Proceedings. EGU General Assembly 2024. p. 15174-0. Online: https://doi.org/10.5194/egusphere-egu24-15174
• Kopf, L.; Bommer, P.; Hedström, A.; Lapushkin, S.; Höhne, M.; Bykov, K. (2024): CoSy: Evaluating Textual Explanations of Neurons. In: . ICML Workshop Next Generation of AI Safety. p. 1-21. Online: https://arxiv.org/abs/2405.20331
• Kopf, L.; Bommer, P.; Hedström, A.; Lapushkin, S.; Höhne, M.; Bykov, K. (2024): CoSy: Evaluating Textual Explanations of Neurons. In: . ICML Workshop on Mechanistic Interpretability. p. 1-21. Online: https://arxiv.org/abs/2405.20331

Orals and poster contributions [6 Results]

• Kopf, L.; Bommer, P.; Hedström, A.; Lapuschkin, S.; Höhne, M.; Bykov, K. (2024): CoSy: Evaluating Textual Explanations of Neurons.
• Höfner, N.; Bommer, P.; Shokrian Zeini, M. (2023): FoodChain: Cultivating the Future with 5G-Enhanced Agricultural Robotics.
• Bommer, P. (2023): Improving trustworthiness: Introducing eXplainable AI evaluation to climate science.
• Bommer, P. (2023): Finding the right XAI method - A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science.
• Bommer, P.; Hedström, A. (2023): Tutorial: Quantus x Climate - Applying explainable AI evaluation in climate science.
• Bommer, P.; Kretschmer, M.; Hedström, A.; Bareeva, D.; Höhne, M. (2023): Evaluation of explainable AI solutions in climate science.