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FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise., , , and . AAAI, page 15943-15951. AAAI Press, (2024)Experimental Research of Galfenol Composite Cantilever., , , , and . HCC, volume 12634 of Lecture Notes in Computer Science, page 258-268. Springer, (2020)A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors., , , , , , and . IEEE Trans. Knowl. Data Eng., 31 (10): 1849-1862 (2019)Crease detection from fingerprint images and its applications in elderly people., , , and . Pattern Recognit., 42 (5): 896-906 (2009)From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching., , , and . IJCAI, page 5199-5207. ijcai.org, (2024)TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection., , , and . DASFAA (6), volume 14855 of Lecture Notes in Computer Science, page 269-284. Springer, (2024)Uncovering Specific-Shape Graph Anomalies in Attributed Graphs., , , , , and . AAAI, page 5433-5440. AAAI Press, (2019)Multiple Anomaly Alignments on Network Traffics., , , , , , and . ICKG, page 313-320. IEEE, (2022)Model based algorithm for singular point detection from fingerprint images., and . ICIP, page 885-888. IEEE, (2004)CLMS-Net: dropout prediction in MOOCs with deep learning., , , , , and . ACM TUR-C, page 75:1-75:6. ACM, (2019)