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BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability.

, , , , , , and . PAKDD (1), volume 13935 of Lecture Notes in Computer Science, page 3-14. Springer, (2023)

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Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments., , , , , and . ECML/PKDD (7), volume 14175 of Lecture Notes in Computer Science, page 310-314. Springer, (2023)Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias., , , , and . PAKDD (2), volume 13281 of Lecture Notes in Computer Science, page 149-160. Springer, (2022)Hitting the Target: Stopping Active Learning at the Cost-Based Optimum., , , and . CoRR, (2021)Combatting over-specialization bias in growing chemical databases., , , , , , and . J. Cheminformatics, 15 (1): 53 (December 2023)Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias., , , and . ICDM, page 996-1001. IEEE, (2020)BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability., , , , , , and . PAKDD (1), volume 13935 of Lecture Notes in Computer Science, page 3-14. Springer, (2023)Hitting the target: stopping active learning at the cost-based optimum., , , and . Mach. Learn., 113 (4): 1529-1547 (April 2024)Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices., , , , , , , and . PAKDD (2), volume 13936 of Lecture Notes in Computer Science, page 322-334. Springer, (2023)AdductHunter: identifying protein-metal complex adducts in mass spectra., , , , , , , , and . J. Cheminformatics, 16 (1): 15 (December 2024)Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks., , , and . CoRR, (2023)