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Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions., , , , , , and . IJCNN, page 1-10. IEEE, (2022)Variable Few Shot Class Incremental and Open World Learning., , , , , , and . CVPR Workshops, page 3687-3698. IEEE, (2022)Self-Supervised Features Improve Open-World Learning., , , , , and . CoRR, (2021)A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion., , , , , , , , , and 4 other author(s). CoRR, (2020)Deep learning-based semantic segmentation of grain morphologies in ceramics., , , and . ICIIP, page 388-392. ACM, (2019)Few-Shot Class Incremental Learning Leveraging Self-Supervised Features., , , , , , and . CVPR Workshops, page 3899-3909. IEEE, (2022)Traffic-Based Automatic Detection of Browser Fingerprinting., , and . SecureComm (1), volume 304 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 365-385. Springer, (2019)Automatic Open-World Reliability Assessment., , , , , and . CoRR, (2020)Open-World Learning Without Labels., , , , , and . CoRR, (2020)Towards a Unifying Framework for Formal Theories of Novelty., , , , , , , , , and 4 other author(s). AAAI, page 15047-15052. AAAI Press, (2021)