Titlebook: Advances in Intelligent Data Analysis XXII; 22nd International S Ioanna Miliou,Nico Piatkowski,Panagiotis Papapetro Conference proceedings

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https://doi.org/10.1007/978-1-349-19471-1w GloNet’s capability to self-regulate, and its resilience to depth-related learning challenges, such as performance degradation. Our findings position GloNet as a viable alternative to traditional architectures like ResNets.

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https://doi.org/10.1007/978-1-349-19471-1 careful attention to dataset properties when selecting a model for tabular data in machine learning – especially in an industrial setting, where larger and larger datasets with less and less carefully engineered features are becoming routinely available.

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https://doi.org/10.1057/9780230604148rtainty in model predictions and ii) the discrimination error between training batches and subsequent test batches, serving as key indicators for identifying drift in AI model performance. We test our framework on simulated drift data where we can control the nature of change, and high-fidelity synt

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Nathan T. Formaini D.O,Jonathan C. Levy M.D.ovide global explanations for the prediction of neural networks. The explanations provided allow the identification of the relationships that the network learned and can be used to identify possible errors during training. In this work, concept activation vectors and concept activation regions are u

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Sternoclavicular Joint Injuries,mining models. We compare it against batch and incremental learners, including methods relying on active drift detection. Experiments with varied travel mode data sets representing both city and country levels show that the IEBSM method both detects drift in travel mode data and successfully adapts

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Predicting Performance Drift in AI Models of Healthcare Without Ground Truth Labelskundung sozialer und gesellschaftlicher Bedingungen und Prozesse. Die Beiträge in diesem Buchnehmen Serien aus vielen verschiedenen Perspektiven in den Blick - von Psychologie, Medienwissenschaften, Amerikanistik, Kulturphilosophie bin hin zu Forensik und Neurobiologie. .978-3-662-53689-6

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