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A Concept for Intelligent Collaborative Network Intrusion Detection, , , , , , и . ARCS 2017; 30th International Conference on Architecture of Computing Systems; Proceedings of, стр. 1--8. VDE, (2017)Efficient SVDD sampling with approximation guarantees for the decision boundary., , , , и . Mach. Learn., 111 (4): 1349-1375 (2022)A Stopping Criterion for Transductive Active Learning., , , и . ECML/PKDD (4), том 13716 из Lecture Notes in Computer Science, стр. 468-484. Springer, (2022)A New Vision of Collaborative Active Learning, , , , и . arXiv e-prints, (2015)Toward Optimal Probabilistic Active Learning Using a Bayesian Approach, , , , , и . arXiv e-prints, (2020)Probabilistic upscaling and aggregation of wind power forecasts, , , , и . Energy, Sustainability and Society, 10 (1): 15 (2020)Transport efficiency of biofunctionalized magnetic particles tailored by surfactant concentration, , , , , , , , , и 1 other автор(ы). Langmuir, 37 (28): 8498--8507 (2021)Self-Adaptation of Activity Recognition Systems to New Sensors, , , , , и . arXiv e-prints, (2017)Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models, , и . Informatics, 5 (3): 38 (2018)A Multi-Scheme Ensemble Using Coopetitive Soft-Gating With Application to Power Forecasting for Renewable Energy Generation, и . arXiv e-prints, (2018)