Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2024; 33rd International C Michael Wand,Kristína Malinovská,Igor V. Tetko Conferenc

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Treatment of Acute Ischemic Strokeretrieval, which does not rely on image label information, has garnered widespread attention. However, existing unsupervised methods still face several common issues. Firstly, current methods often only consider either local or global single-feature extraction in image feature extraction. Secondly,

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Mark R. Harrigan,John P. Deveikising visual perspectives of subject objects and lighting discrepancies. To mitigate these challenges, existing studies commonly incorporate additional modal information matching the visual data to regularize the model’s learning process, enabling the extraction of high-quality visual features from co

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Mark R. Harrigan,John P. Deveikis short of adequately safeguarding user privacy. Moreover, these systems tend to overlook how external factors affect traffic flow. To tackle these concerns, we propose a novel architecture based on federated learning and Spatiotemporal GCN. Simultaneously, we employ graph embedding techniques to inc

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