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Titlebook: Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops; AI4EA, F-IDE, CoSim- Paolo Masci,Cinzia Bernardeschi,Maurizio Palm

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Evaluating Zero-Cost Active Learning for Object Detectionlevant examples to be annotated. However, selecting these examples properly without introducing a sampling bias with a negative impact on the generalization performance is not straightforward and most active learning techniques can not hold their promises on real-world benchmarks. In our evaluation
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Fast Simulation Response by a Simulation Based Machine Learning (SMiLe) Approachng the causes of problems and failures during manufacture. Calculation times for complex manufacturing processes can be several hours to days. This prevents rapid response through simulation in the event of a failure during production and integration of process simulation into design optimization lo
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