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Active Learning for Deep Object Detection., , and . VISIGRAPP (5: VISAPP), page 181-190. SciTePress, (2019)Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance., , and . GI-Jahrestagung, volume P-314 of LNI, page 417-423. Gesellschaft für Informatik, Bonn, (2021)TIPICAL - Type Inference for Python In Critical Accuracy Level., , , and . SERA, page 16-21. IEEE, (2023)Self-supervised Learning from Semantically Imprecise Data., , and . VISIGRAPP (5: VISAPP), page 27-35. SCITEPRESS, (2022)Towards Automated Visual Monitoring of Individual Gorillas in the Wild., , , , , , and . ICCV Workshops, page 2820-2830. IEEE Computer Society, (2017)Neither Quick Nor Proper - Evaluation of QuickProp for Learning Deep Neural Networks., , , , and . CoRR, (2016)Active and Incremental Learning with Weak Supervision., , and . Künstliche Intell., 34 (2): 165-180 (2020)Cross-Domain Evaluation of a Deep Learning-Based Type Inference System., , , and . CoRR, (2022)Active Learning for Deep Object Detection., , and . CoRR, (2018)Integrating Domain Knowledge: Using Hierarchies to Improve Deep Classifiers., and . ACPR (1), volume 12046 of Lecture Notes in Computer Science, page 3-16. Springer, (2019)