Showing 1–20 of 23 results
/ Date/ Name
Dec 4, 2019Active Learning of SVDD Hyperparameter ValuesApr 20, 2024Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional DataDec 25, 2021Pedagogical Rule Extraction to Learn Interpretable Models - an Empirical StudySep 29, 2020Efficient SVDD Sampling with Approximation Guarantees for the Decision BoundaryJun 14, 2024SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic GradingAug 12, 2024Evaluating Privacy Measures for Load HidingNov 13, 2020Efficient Subspace Search in Data StreamsMay 25, 2022Maximum Mean Discrepancy on Exponential Windows for Online Change DetectionApr 10, 2025Adversarial Subspace Generation for Outlier Detection in High-Dimensional DataSep 30, 2025Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State AccessMay 25, 2020Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch NormalizationAug 14, 2018An Overview and a Benchmark of Active Learning for Outlier Detection with One-Class ClassifiersJun 12, 2023Budgeted Multi-Armed Bandits with Asymmetric Confidence IntervalsJun 22, 2023Adaptive Bernstein Change Detector for High-Dimensional Data StreamsFeb 1, 2024Partial-Label Learning with a Reject OptionJun 25, 2024Generalizability of experimental studiesJul 17, 2023A benchmark of categorical encoders for binary classificationOct 4, 2018Monte Carlo Dependency EstimationOct 3, 2019REDS: Rule Extraction for Discovering ScenariosFeb 6, 2024Efficient Generation of Hidden Outliers for Improved Outlier Detection