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Data Generation for Explainable Occupational Fraud Detection., , , , и . KI, том 14992 из Lecture Notes in Computer Science, стр. 246-259. Springer, (2024)Generative Inpainting for Shapley-Value-Based Anomaly Explanation., , , , , и . xAI (1), том 2153 из Communications in Computer and Information Science, стр. 230-243. Springer, (2024)Semi-Supervised Learning for Grain Size Distribution Interpolation., , , , , , и . ICPR Workshops (6), том 12666 из Lecture Notes in Computer Science, стр. 34-44. Springer, (2020)Towards Explainable Occupational Fraud Detection., , , , и . PKDD/ECML Workshops (2), том 1753 из Communications in Computer and Information Science, стр. 79-96. Springer, (2022)GrINd: Grid Interpolation Network for Scattered Observations., , , и . ECML/PKDD (7), том 14947 из Lecture Notes in Computer Science, стр. 177-193. Springer, (2024)Variation-aware behavioural modelling using support vector machines and affine arithmetic.. University of Hanover, Hannover, Germany, (2019)Global Vegetation Modeling with Pre-Trained Weather Transformers, , , , и . (2024)Sensorbox Calibration - Technical Report, , и . University of Würzburg, (2020)Towards Explainable Occupational Fraud Detection, , , , и . Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2022. Communications in Computer and Information Science, 1753, стр. 79--96. Cham, Springer Nature Switzerland, (2023)A sensor-driven approach for analyzing a beehive’s state, , и . (2022)