Search Results for author: Bas van Stein

Found 8 papers, 4 papers with code

Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines

no code implementations24 Mar 2022 Marios Kefalas, Juan de Santiago Rojo Jr., Asteris Apostolidis, Dirk van den Herik, Bas van Stein, Thomas Bäck

Data-driven modeling is an imperative tool in various industrial applications, including many applications in the sectors of aeronautics and commercial aviation.

Explainable artificial intelligence

Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images

1 code implementation17 Jan 2022 Koen Ponse, Anna V. Kononova, Maria Loleyt, Bas van Stein

We demonstrate and analyze the performance of the extended algorithm to detect localised symmetries and the machine learning model to classify rotational symmetries.

Symmetry Detection

Emergence of Structural Bias in Differential Evolution

no code implementations10 May 2021 Bas van Stein, Fabio Caraffini, Anna V. Kononova

Heuristic optimisation algorithms are in high demand due to the overwhelming amount of complex optimisation problems that need to be solved.

Neural Network Design: Learning from Neural Architecture Search

1 code implementation1 Nov 2020 Bas van Stein, Hao Wang, Thomas Bäck

Neural Architecture Search (NAS) aims to optimize deep neural networks' architecture for better accuracy or smaller computational cost and has recently gained more research interests.

Image Classification Neural Architecture Search

A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling

no code implementations14 Apr 2020 Yali Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck

A customized multi-objective evolutionary algorithm (MOEA) is proposed for the multi-objective flexible job shop scheduling problem (FJSP).

Automatic Configuration of Deep Neural Networks with EGO

1 code implementation10 Oct 2018 Bas van Stein, Hao Wang, Thomas Bäck

In this paper an Efficient Global Optimization (EGO) algorithm is adapted to automatically optimize and configure convolutional neural network architectures.

Data Augmentation Image Classification

Cluster-based Kriging Approximation Algorithms for Complexity Reduction

no code implementations4 Feb 2017 Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael Emmerich, Thomas Bäck

In addition, four Kriging approximation algorithms are proposed as candidate algorithms within the new framework.

Local Subspace-Based Outlier Detection using Global Neighbourhoods

1 code implementation1 Nov 2016 Bas van Stein, Matthijs van Leeuwen, Thomas Bäck

In highly complex and high-dimensional data, however, existing methods are likely to overlook important outliers because they do not explicitly take into account that the data is often a mixture distribution of multiple components.

Fraud Detection Outlier Detection

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