Accurate assessment of undrained shear strength (USS) for soft sensitive clays is a great
concern in geotechnical engineering practice. This study applies novel data-driven extreme …

Automated machine learning (AutoML) is a young research area aiming at making high-
performance machine learning techniques accessible to a broad set of users. This is …

Bayesian Optimisation (BO) refers to a suite of techniques for global optimisation of
expensive black box functions, which use introspective Bayesian models of the function to …

Finding good configurations of a software system is often challenging since the number of
configuration options can be large. Software engineers often make poor choices about …

News media always pursue informing the public at large. It is impossible to overestimate the
significance of understanding the semantics of news coverage. Traditionally, a news text is …

Bayesian optimization has recently emerged as a powerful and flexible tool in machine
learning for hyperparameter tuning and more generally for the efficient global optimization of …

Background Essential tremor (ET) is a progressive neurological disorder with characteristic
motor symptoms. Current clinical assessments are primarily based on expert consultation …

The success of Convolutional Neural Networks is highly dependent on the selected
architecture and the hyper-parameters. The need for the automatic design of the networks is …

The recent revival of Bayesian optimization has caused widespread utilization of easily
accessible and versatile tools in different areas, which involve the search for optimal design …

Bayesian optimization is an approach for globally optimizing black-box functions that are
expensive to evaluate, non-convex, and possibly noisy. Recently, Bayesian optimization has …