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Experiential robot learning with deep neural networks., и . ICDL-EPIROB, стр. 356-361. IEEE, (2017)Design of fault-tolerant systems., и . CBMS, стр. 162-169. IEEE, (1990)Galileo: A Tool for Dynamic Fault Tree Analysis.. Computer Performance Evaluation / TOOLS, том 1786 из Lecture Notes in Computer Science, стр. 328-331. Springer, (2000)Derivative-Free Optimization of Neural Networks using Local Search., , и . UEMCON, стр. 293-299. IEEE, (2019)Is My Software "Good Enough" to Release? - A Probabilistic Assessment., , и . SEW, стр. 5-13. IEEE Computer Society, (2005)A Methodology For Risk Assessment Of Functional Specification Of Software Systems Using Colored Petri Nets., , и . IEEE METRICS, стр. 108-. IEEE Computer Society, (1997)Developing a high-quality software tool for fault tree analysis., , и . ISSRE, стр. 222-231. IEEE Computer Society, (1999)Coverage Estimation Using Statistics of the Extremes for When Testing Reveals No Failures., , и . IEEE Trans. Computers, 51 (1): 3-12 (2002)Corrections on Ä Continuous-Time Bayesian Network Reliability Modeling and Analysis Framework"., и . IEEE Trans. Reliability, 57 (3): 532-533 (2008)Issues in reliability modeling of fault-tolerant computers., , , и . Fehlertolerierende Rechensysteme, том 84 из Informatik-Fachberichte, стр. 228-239. Springer, (1984)