Titlebook: Artificial Intelligence; Third CAAI Internati Lu Fang,Jian Pei,Ruiping Wang Conference proceedings 2024 The Editor(s) (if applicable) and T

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Conference proceedings 2024 China, in July 2023.?CICAI is a summit forum in the field of artificial intelligence and the 2023 forum was hosted by Chinese Association for Artificial Intelligence (CAAI). The 100 papers were thoroughly reviewed and selected from 376 submissions.?CICAI 2023 conference covers a wide range of of AI

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Hans van Haut,Heinrich Stratmanncausal structures. Leveraging the perspective of SCM, we propose a framework called FairDR, which utilizes the Hirschfeld-Gebelein-Rényi (HGR) correlation to accurately recover the distribution of both fairly and unfairly treated data. FairDR can serve as a pre-processing method for other fair machi

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estimate a nonuniform budget to modify the AEs used in training, ensuring that the strengths of the AEs are dynamically located in a reasonable range and ultimately improving the comprehensive robustness of the AT model. We include a theoretical investigation on a toy classification problem to guar

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Fluoranreicherung in Pflanzenorganen, comprehensively extract both global patterns and local details. Secondly, we propose a robust learned perceptual loss between generative reconstructed garment images and the ground truth to alleviate the overlap problem. Extensive experiments demonstrate the superiority of our proposed model compar

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H.-W. Radeke,N. Jaeger,J. Vogel,L. Weissbachassess the human visual preferences for each image from three perspectives including ., . and .. Finally, based on this large-scale database, we conduct a benchmark experiment to evaluate the performance of several state-of-the-art IQA metrics on our constructed database. The AIGCIQA2023 database an

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Antik?rper-vermittelte überempfindlichkeitres are used to enhance the feature map of each scale. Finally, we fuse the upsampled results of all scales on UNet to improve the performance of segmentation. Our method achieves 0.9432, 0.8948, 0.9348 for mDice, mIoU and mACC on the ISIC2016 dataset, and 0.9058, 0.8138, 0.8968 on the ISIC2018 data

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