17 citations · 23 across the 4 of their papers we have counts for
5 papers
Artificial Intelligence and Data Science in the Automotive Industry
Martin Hofmann, Florian Neukart, Thomas Bäck
Data science and machine learning are the key technologies when it comes to the processes and products with automatic learning and optimization to be used in the automotive industr…
Cluster-based Kriging Approximation Algorithms for Complexity Reduction
Bas van Stein, Hao Wang, Wojtek Kowalczyk +2
Kriging or Gaussian Process Regression is applied in many fields as a non-linear regression model as well as a surrogate model in the field of evolutionary computation. However, th…
Local Subspace-Based Outlier Detection using Global Neighbourhoods
Bas van Stein, Matthijs van Leeuwen, Thomas Bäck
Outlier detection in high-dimensional data is a challenging yet important task, as it has applications in, e.g., fraud detection and quality control. State-of-the-art density-based…
Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm
Jiaqi Zhao, Vitor Basto Fernandes, Licheng Jiao +5
Finding a good classifier is a multiobjective optimization problem with different error rates and the costs to be minimized. The receiver operating characteristic is widely used in…
Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance
Pu Wang, Michael Emmerich, Rui Li +3
ROC is usually used to analyze the performance of classifiers in data mining. ROC convex hull (ROCCH) is the least convex major-ant (LCM) of the empirical ROC curve, and covers pot…