20 citations · 63 across the 4 of their papers we have counts for
4 papers
Intelligent Optimization and Machine Learning Algorithms for Structural Anomaly Detection using Seismic Signals
Maximilian Trapp, Can Bogoclu, Tamara Nestorović +1
The lack of anomaly detection methods during mechanized tunnelling can cause financial loss and deficits in drilling time. On-site excavation requires hard obstacles to be recogniz…
Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit
Sven Lämmle, Can Bogoclu, Kevin Cremanns +1
Surrogate models based on machine learning methods have become an important part of modern engineering to replace costly computer simulations. The data used for creating a surrogat…
Local Latin Hypercube Refinement for Multi-objective Design Uncertainty Optimization
Can Bogoclu, Dirk Roos, Tamara Nestorović
Optimizing the reliability and the robustness of a design is important but often unaffordable due to high sample requirements. Surrogate models based on statistical and machine lea…
Deep Gaussian Covariance Network
Kevin Cremanns, Dirk Roos
The correlation length-scale next to the noise variance are the most used hyperparameters for the Gaussian processes. Typically, stationary covariance functions are used, which are…