Titlebook: Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track; European Conference, Gianmarco De Francisci Mor

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晚間

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Data-Driven Explainable Artificial Intelligence for?Energy Efficiency in?Short-Sea Shippingnd environmental measurements from onboard instruments and external sources, are critical for achieving this goal. Short-sea shipping presents a unique challenge due to the significant influence of surrounding landscape characteristics. With high-resolution onboard data increasingly accessible throu

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Multivariate Time-Series Anomaly Detection with?Temporal Self-supervision and?Graphs: Application toaditional approaches often rely on rule-based or heuristic methods that may not be effective in detecting subtle anomalies, rare events, or in more modern vehicles containing a complex sensory network. This paper presents a novel approach to vehicle failure prediction, called mVSG-VFP, which employs

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法律

TDCM: Transport Destination Calibrating Based on?Multi-task Learninglications such as transport task dispatching and route planning. But due to manual input errors of the operators and dynamic changes of the destination’s location, the address of destination is not always correct and complete. To tackle this issue, we propose .ransport .estination .alibration framew

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ssential for reproducible results.Contains key notes and imp.The innate immune response is a crucial component of early resistance to infection, and it is now revealing increasing levels of complexity. The ability to modify the genome in vivo, has facilitated understanding of complex interactions be

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Arian Prabowo,Kaixuan Chen,Hao Xue,Subbu Sethuvenkatraman,Flora D. Salimssential for reproducible results.Contains key notes and imp.The innate immune response is a crucial component of early resistance to infection, and it is now revealing increasing levels of complexity. The ability to modify the genome in vivo, has facilitated understanding of complex interactions be