Bas van Stein - RankMe

61 papers A 4B 6C 2Journal 24Unranked 25

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Generating Cheap Representative Functions for Expensive Automotive Crashworthiness Optimization. ACM Trans. Evol. Learn. Optim. Fu Xing Long, Bas van Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck
2023	J	`jnl`	A data-centric approach to anomaly detection in layer-based additive manufacturing. Autom. Alexander Zeiser, Bekir Özcan, Christoph Kracke, Bas van Stein, Thomas Bäck
2023	—	`conf`	BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances. EvoApplications@EvoStar Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova
2023	—	`conf`	Deep BIAS: Detecting Structural Bias using Explainable AI. GECCO Companion Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
2023	J	`jnl`	Deep-BIAS: Detecting Structural Bias using Explainable AI. CoRR Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
2023	—	`conf`	DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis. GECCO Companion Bas van Stein, Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck
2023	J	`jnl`	DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis. CoRR Bas van Stein, Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck
2023	J	`jnl`	Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection. Comput. Ind. Alexander Zeiser, Bekir Özcan, Bas van Stein, Thomas Bäck
2023	J	`jnl`	Evolutionary Algorithms for Parameter Optimization - Thirty Years Later. Evol. Comput. Thomas H. W. Bäck, Anna V. Kononova, Bas van Stein, Hao Wang, Kirill A. Antonov, Roman T. Kalkreuth, Jacob de Nobel, Diederick Vermetten, Roy de Winter, Furong Ye
2022	J	`jnl`	A Comparison of Global Sensitivity Analysis Methods for Explainable AI With an Application in Genomic Prediction. IEEE Access Bas van Stein, Elena Raponi, Zahra Sadeghi, Niek Bouman, Roeland C. H. J. van Ham, Thomas Bäck
2022	J	`jnl`	BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances. CoRR Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova
2022	J	`jnl`	BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain. IEEE Trans. Evol. Comput. Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro L. Minku, Anna V. Kononova
2022	J	`jnl`	Constrained Multi-Objective Optimization with a Limited Budget of Function Evaluations. Memetic Comput. Roy de Winter, Philip Bronkhorst, Bas van Stein, Thomas Bäck
2022	J	`jnl`	Deep Learning based pipeline for anomaly detection and quality enhancement in industrial binder jetting processes. CoRR Alexander Zeiser, Bas van Stein, Thomas Bäck
2022	J	`jnl`	Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines. CoRR Marios Kefalas, Juan de Santiago Rojo Jr., Asteris Apostolidis, Dirk van den Herik, Bas van Stein, Thomas Bäck
2022	J	`jnl`	Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines. J. Aerosp. Inf. Syst. Marios Kefalas, Juan de Santiago Rojo Jr., Asteris Apostolidis, Dirk van den Herik, Bas van Stein, Thomas Bäck
2022	J	`jnl`	GSAreport: Easy to Use Global Sensitivity Reporting. J. Open Source Softw. Bas van Stein, Elena Raponi
2022	A	`conf`	Learning the characteristics of engineering optimization problems with applications in automotive crash. GECCO Fu Xing Long, Bas van Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck
2022	A	`conf`	Multi-point acquisition function for constraint parallel efficient multi-objective optimization. GECCO Roy de Winter, Bas van Stein, Thomas Bäck
2022	—	`conf`	Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. SSCI Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova
2022	J	`jnl`	Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. CoRR Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova
2022	J	`jnl`	Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation. IEEE Trans. Evol. Comput. Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2022	C	`ed.`	Proceedings of the 14th International Joint Conference on Computational Intelligence, IJCCI 2022, Valletta, Malta, October 24-26, 2022. IJCCI Thomas Bäck, Bas van Stein, Christian Wagner, Jonathan M. Garibaldi, H. K. Lam, Marie Cottrell, Faiyaz Doctor, Joaquim Filipe, Kevin Warwick, Janusz Kacprzyk
2022	J	`jnl`	Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images. CoRR Koen Ponse, Anna V. Kononova, Maria Loleyt, Bas van Stein
2022	—	`conf`	Using structural bias to analyse the behaviour of modular CMA-ES. GECCO Companion Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova
2021	J	`jnl`	Emergence of Structural Bias in Differential Evolution. CoRR Bas van Stein, Fabio Caraffini, Anna V. Kononova
2021	—	`conf`	Emergence of structural bias in differential evolution. GECCO Companion Bas van Stein, Fabio Caraffini, Anna V. Kononova
2021	—	`conf`	Exploiting Generative Models for Performance Predictions of 3D Car Designs. SSCI Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021	B	`conf`	Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. CEC Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021	—	`conf`	Optimally Weighted Ensembles for Efficient Multi-objective Optimization. LOD Gideon Hanse, Roy de Winter, Bas van Stein, Thomas Bäck
2021	—	`conf`	Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization. 3DV Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021	—	`conf`	Requirements towards optimizing analytics in industrial processes. ANT/EDI40 Alexander Zeiser, Bas van Stein, Thomas Bäck
2021	C	`conf`	SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-objective Optimization Algorithm. EMO Roy de Winter, Bas van Stein, Thomas Bäck
2021	—	`conf`	Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images. SSCI Koen Ponse, Anna V. Kononova, Maria Loleyt, Bas van Stein
2020	J	`jnl`	A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling. CoRR Yali Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck
2020	—	`conf`	A Tailored NSGA-III for Multi-objective Flexible Job Shop Scheduling. SSCI Yali Wang, Bas van Stein, Thomas Bäck, Michael Emmerich
2020	—	`conf`	Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds. SSCI Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel
2020	J	`jnl`	Cluster-based Kriging approximation algorithms for complexity reduction. Appl. Intell. Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael Emmerich, Thomas Bäck
2020	B	`conf`	Feature Visualization for 3D Point Cloud Autoencoders. IJCNN Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt
2020	—	`conf`	Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search. GECCO Companion Yali Wang, Bas van Stein, Thomas Bäck, Michael Emmerich
2020	—	`conf`	Neural Network Design: Learning from Neural Architecture Search. SSCI Bas van Stein, Hao Wang, Thomas Bäck
2020	J	`jnl`	Neural Network Design: Learning from Neural Architecture Search. CoRR Bas van Stein, Hao Wang, Thomas Bäck
2019	—	`conf`	A New Approach Towards the Combined Algorithm Selection and Hyper-parameter Optimization Problem. SSCI Xin Guo, Bas van Stein, Thomas Bäck
2019	B	`conf`	Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization. IJCNN Bas van Stein, Hao Wang, Thomas Bäck
2019	—	`conf`	On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization. SSCI Thiago Rios, Bernhard Sendhoff, Stefan Menzel, Thomas Bäck, Bas van Stein
2019	—	`conf`	Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. SSCI Thiago Rios, Patricia Wollstadt, Bas van Stein, Thomas Bäck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
2018	—	`conf`	A Novel Uncertainty Quantification Method for Efficient Global Optimization. IPMU (3) Bas van Stein, Hao Wang, Wojtek Kowalczyk, Thomas Bäck
2018	J	`jnl`	Automatic Configuration of Deep Neural Networks with EGO. CoRR Bas van Stein, Hao Wang, Thomas Bäck
2018	—	`conf`	Designing Ships Using Constrained Multi-objective Efficient Global Optimization. LOD Roy de Winter, Bas van Stein, Matthys Dijkman, Thomas Bäck
2017	—	`conf`	A multi-method simulation of a high-frequency bus line. ITSC Thierry van der Spek, Bas van Stein, Marcel van der Holst, Thomas Bäck
2017	B	`conf`	A new acquisition function for Bayesian optimization based on the moment-generating function. SMC Hao Wang, Bas van Stein, Michael Emmerich, Thomas Bäck
2017	A	`conf`	Algorithm configuration data mining for CMA evolution strategies. GECCO Sander van Rijn, Hao Wang, Bas van Stein, Thomas Bäck
2017	J	`jnl`	Cluster-based Kriging Approximation Algorithms for Complexity Reduction. CoRR Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael T. M. Emmerich, Thomas Bäck
2017	A	`conf`	Time complexity reduction in efficient global optimization using cluster kriging. GECCO Hao Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck
2016	—	`conf`	A framework for evaluating meta-models for simulation-based optimisation. SSCI Pepijn Van Heiningen, Bas van Stein, Thomas Bäck
2016	—	`conf`	An Incremental Algorithm for Repairing Training Sets with Missing Values. IPMU (2) Bas van Stein, Wojtek Kowalczyk
2016	—	`conf`	Analysis and Visualization of Missing Value Patterns. IPMU (2) Bas van Stein, Wojtek Kowalczyk, Thomas Bäck
2016	B	`conf`	Fuzzy clustering for Optimally Weighted Cluster Kriging. FUZZ-IEEE Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael T. M. Emmerich, Thomas Bäck
2016	J	`jnl`	Local Subspace-Based Outlier Detection using Global Neighbourhoods. CoRR Bas van Stein, Matthijs van Leeuwen, Thomas Bäck
2016	—	`conf`	Local subspace-based outlier detection using global neighbourhoods. IEEE BigData Bas van Stein, Matthijs van Leeuwen, Thomas Bäck
2015	B	`conf`	Optimally Weighted Cluster Kriging for Big Data Regression. IDA Bas van Stein, Hao Wang, Wojtek Kowalczyk, Thomas Bäck, Michael Emmerich