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Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers., , , , , и . CoRR, (2023)ActiveGLAE: A Benchmark for Deep Active Learning with Transformers., , , , , и . ECML/PKDD (1), том 14169 из Lecture Notes in Computer Science, стр. 55-74. Springer, (2023)Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering., , , , , , и . IAL@PKDD/ECML, том 3470 из CEUR Workshop Proceedings, стр. 65-73. CEUR-WS.org, (2023)Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources., , и . IAL@PKDD/ECML, том 3259 из CEUR Workshop Proceedings, стр. 27-42. CEUR-WS.org, (2022)DADO - Low-Cost Selection Strategies for Deep Active Design Optimization., , , и . CoRR, (2023)Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification., , , , и . CoRR, (2024)Predicting flow stress behavior of an AA7075 alloy using machine learning methods, , , , , , , , и . Crystals, 9 (12): 1--19 (2022)DADO - Low-Cost Query Strategies for Deep Active Design Optimization., , , и . ICMLA, стр. 1611-1618. IEEE, (2023)BirdSet: A Multi-Task Benchmark for Classification in Avian Bioacoustics., , , , , , , , и . CoRR, (2024)