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Abstraction-Based Outlier Detection for Image Data., , , and . IntelliSys (1), volume 1250 of Advances in Intelligent Systems and Computing, page 540-552. Springer, (2020)Triplet Loss Network for Unsupervised Domain Adaptation., , , , and . Algorithms, 12 (5): 96 (2019)What augmentations are sensitive to hyper-parameters and why?, and . CoRR, (2021)Few-Shot Object Detection: Application to Medieval Musicological Studies., , , and . J. Imaging, 8 (2): 18 (2022)What Augmentations are Sensitive to Hyper-Parameters and Why?, , and . SAI (1), volume 506 of Lecture Notes in Networks and Systems, page 449-468. Springer, (2022)Adversarial Domain Adaptation for Medieval Instrument Recognition., , , and . IntelliSys (2), volume 295 of Lecture Notes in Networks and Systems, page 674-687. Springer, (2021)Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation., , , and . CoRR, (2020)Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification., , , , , and . Medical Image Anal., (2022)Dual Training for Transfer Learning: Application on Medieval Studies., , and . IJCNN, page 1-8. IEEE, (2021)Multi-agent shape models for hip landmark detection in MR scans., , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)