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Integrated framework for model assessment and advanced uncertainty quantification of nuclear computer codes under Bayesian statistics., , and . Reliab. Eng. Syst. Saf., (2019)Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders., , , , , , , , and . Digit. Signal Process., (2022)NEORL: NeuroEvolution Optimization with Reinforcement Learning., , , , , , and . CoRR, (2021)Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning., , , , and . CoRR, (2022)Animorphic ensemble optimization: a large-scale island model., and . Neural Comput. Appl., 35 (4): 3221-3243 (February 2023)Neural-based time series forecasting of loss of coolant accidents in nuclear power plants., , , , and . Expert Syst. Appl., (2020)Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions., , , , , , , , , and . CoRR, (2023)Surrogate modeling of advanced computer simulations using deep Gaussian processes., and . Reliab. Eng. Syst. Saf., (2020)Multi-module based CVAE to predict HVCM faults in the SNS accelerator., , , , , , , , , and . CoRR, (2023)Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications., and . Knowl. Based Syst., (2021)