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Titlebook: Unlocking Artificial Intelligence; From Theory to Appli Christopher Mutschler,Christian Münzenmayer,Alexan Book‘‘‘‘‘‘‘‘ 2024 The Editor(s)

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發(fā)表于 2025-3-30 11:04:17 | 只看該作者
The Role of Uncertainty Quantification for Trustworthy AIloyment. However, each of these steps involves certain assumptions that introduce inherent uncertainty, which can result in inaccurate outcomes and reduced confidence in the system. To enhance confidence and comply with the EU AI Act, we recommend using Uncertainty Quantification methods to estimate
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發(fā)表于 2025-3-30 16:04:44 | 只看該作者
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發(fā)表于 2025-3-30 19:32:25 | 只看該作者
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發(fā)表于 2025-3-31 16:06:45 | 只看該作者
Robust and Adaptive AI for Digital Pathologyitative assessment of tissue composition. This contribution demonstrates possible ways on how to approach challenges in digital pathology like the robustness against data heterogeneity or the detection of out-of-distribution data. Moreover, the principle of prototypical few-shot models is explained,
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發(fā)表于 2025-3-31 19:32:34 | 只看該作者
60#
發(fā)表于 2025-4-1 00:22:09 | 只看該作者
AI for Stability Optimization in Low Voltage Direct Current Microgridsors, storage systems, and loads work as independently controlled units in connection with common alternating current networks. Precise digitized control applying intelligent power converters enables new AI-based approaches for DC microgrid layout and operation. In this work, a new method involving c
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