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Thomas H. W. Bäck
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- affiliation: Leiden Institute of Advanced Computer Science, Netherlands
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2020 – today
- 2024
[j67]Mitra Baratchi, Can Wang, Steffen Limmer, Jan N. van Rijn, Holger H. Hoos, Thomas Bäck, Markus Olhofer:
Automated machine learning: past, present and future. Artif. Intell. Rev. 57(5): 122 (2024)- [j66]Lucas Correia
, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova:
Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions. Eng. Appl. Artif. Intell. 138: 109323 (2024) - [j65]Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. Evol. Comput. 32(3): 205-210 (2024) - [j64]Charles Moussa, Yash J. Patel, Vedran Dunjko, Thomas Bäck, Jan N. van Rijn:
Hyperparameter importance and optimization of quantum neural networks across small datasets. Mach. Learn. 113(4): 1941-1966 (2024) - [j63]Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb:
Parallel multi-objective optimization for expensive and inexpensive objectives and constraints. Swarm Evol. Comput. 86: 101508 (2024) - [j62]Fu Xing Long, Bas van Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck:
Generating Cheap Representative Functions for Expensive Automotive Crashworthiness Optimization. ACM Trans. Evol. Learn. Optim. 4(2): 9 (2024) - [c285]Wei Liu, Thomas Bäck, Yingjie Fan:
Cluster-Centric Local Search Strategies for Enhanced Multi-Objective Logistics Optimization. CEC 2024: 1-8 - [c284]Jiajie Fan, Amal Trigui, Thomas Bäck, Hao Wang:
Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder. ECCV (78) 2024: 88-105 - [c283]Qi Huang, Sofoklis Kitharidis, Thomas Bäck, Niki van Stein:
TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification. EXPLAINS 2024: 62-74 - [c282]Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann:
Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. GECCO 2024 - [c281]Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova:
A Functional Analysis Approach to Symbolic Regression. GECCO 2024 - [c280]Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck:
Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler. GECCO Companion 2024: 791-799 - [c279]Martijn Halsema, Diederick Vermetten, Thomas Bäck, Niki van Stein:
A Critical Analysis of Raven Roost Optimization. GECCO Companion 2024: 1993-2001 - [c278]Roman Kalkreuth, Thomas Bäck:
CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming. GECCO 2024 - [c277]Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang:
Transfer Learning of Surrogate Models via Domain Affine Transformation. GECCO 2024 - [c276]Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck:
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. GECCO 2024 - [c275]Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb:
Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and Constraints. GECCO Companion 2024: 31-32 - [c274]Roy de Winter, Thomas Bäck, Niki van Stein:
Modular Optimization Framework for Mixed Expensive and Inexpensive Real-World Problems. GECCO Companion 2024: 1715-1723 - [c273]Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck:
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. GECCO 2024 - [c272]Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bäck, Anna V. Kononova:
Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite. IJCCI 2024: 60-71 - [c271]Jacob de Nobel, Diederick Vermetten, Thomas H. W. Bäck, Anna V. Kononova:
Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. IJCCI 2024: 120-126 - [c270]Maarten C. Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova:
Optimizing Causal Interventions in Hybrid Bayesian Networks - A Discretization, Knowledge Compilation, and Heuristic Optimization Approach. IPMU (1) 2024: 245-256 - [c269]Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bäck, Carola Doerr:
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler. PPSN (2) 2024: 20-35 - [c268]Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck, Niki van Stein:
Landscape-Aware Automated Algorithm Configuration Using Multi-output Mixed Regression and Classification. PPSN (2) 2024: 87-104 - [c267]Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck:
Avoiding Redundant Restarts in Multimodal Global Optimization. PPSN (2) 2024: 268-283 - [e14]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15148, Springer 2024, ISBN 978-3-031-70054-5 [contents] - [e13]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15149, Springer 2024, ISBN 978-3-031-70067-5 [contents] - [e12]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15150, Springer 2024, ISBN 978-3-031-70070-5 [contents] - [e11]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15151, Springer 2024, ISBN 978-3-031-70084-2 [contents] - [d22]Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck:
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics - Reproducibility Files. Zenodo, 2024
- [d21]Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bäck, Carola Doerr:
Benchmarking Dynamic Binary Value Problems with IOHprofiler - Reproducibility files. Zenodo, 2024 - [d20]Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr:
MA-BBOB - Reproducibility and Additional Data. Version 2. Zenodo, 2024 [all versions] - [i110]Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck:
Explainable Benchmarking for Iterative Optimization Heuristics. CoRR abs/2401.17842 (2024) - [i109]Qi Huang, Wei Chen, Thomas Bäck, Niki van Stein:
Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification. CoRR abs/2402.01343 (2024) - [i108]Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova:
A Functional Analysis Approach to Symbolic Regression. CoRR abs/2402.06299 (2024) - [i107]Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova:
Solving Deep Reinforcement Learning Benchmarks with Linear Policy Networks. CoRR abs/2402.06912 (2024) - [i106]Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bäck, Anna V. Kononova:
Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems. CoRR abs/2402.07654 (2024) - [i105]Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck:
Large-scale Benchmarking of Metaphor-based Optimization Heuristics. CoRR abs/2402.09800 (2024) - [i104]Jiajie Fan, Amal Trigui, Thomas Bäck, Hao Wang:
Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder. CoRR abs/2403.05352 (2024) - [i103]Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bäck, Carola Doerr:
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler. CoRR abs/2404.15837 (2024) - [i102]Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck:
Avoiding Redundant Restarts in Multimodal Global Optimization. CoRR abs/2405.01226 (2024) - [i101]Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer:
Automated Federated Learning via Informed Pruning. CoRR abs/2405.10271 (2024) - [i100]Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann:
Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. CoRR abs/2405.18772 (2024) - [i99]Niki van Stein, Thomas Bäck:
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics. CoRR abs/2405.20132 (2024) - [i98]Roman Kalkreuth, Thomas Bäck:
CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming. CoRR abs/2406.09038 (2024) - [i97]Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova:
TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data. CoRR abs/2407.06849 (2024) - [i96]Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens, Niki van Stein, Thomas Bäck:
Reasoning with Large Language Models, a Survey. CoRR abs/2407.11511 (2024) - [i95]Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova:
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions. CoRR abs/2408.03747 (2024) - [i94]Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck, Niki van Stein:
Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification. CoRR abs/2409.01446 (2024) - [i93]Qi Huang, Sofoklis Kitharidis, Thomas Bäck, Niki van Stein:
TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification. CoRR abs/2409.09461 (2024) - [i92]Ismail Labiad, Thomas Bäck, Pierre Fernandez, Laurent Najman, Tom Sander, Furong Ye, Mariia Zameshina, Olivier Teytaud:
Log-normal Mutations and their Use in Detecting Surreptitious Fake Images. CoRR abs/2409.15119 (2024) - [i91]Jacob de Nobel, Diederick Vermetten, Thomas H. W. Bäck, Anna V. Kononova:
Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. CoRR abs/2409.15941 (2024) - [i90]Kirill A. Antonov, Marijn Siemons, Niki van Stein, Thomas H. W. Bäck, Ralf Kohlhaas, Anna V. Kononova:
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms. CoRR abs/2410.13657 (2024) - [i89]Niki van Stein, Diederick Vermetten, Thomas Bäck:
In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics. CoRR abs/2410.16309 (2024) - [i88]Ksenia Pereverdieva, André H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer, Michael T. M. Emmerich:
Comparative Analysis of Indicators for Multiobjective Diversity Optimization. CoRR abs/2410.18900 (2024) - [i87]Jiajie Fan, Babak Gholami, Thomas Bäck, Hao Wang:
NeuroNURBS: Learning Efficient Surface Representations for 3D Solids. CoRR abs/2411.10848 (2024) - [i86]Lucas Correia, Jan-Christoph Goos, Thomas Bäck, Anna V. Kononova:
A Dataset for Evaluating Online Anomaly Detection Approaches for Discrete Multivariate Time Series. CoRR abs/2411.13951 (2024) - [i85]Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein:
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms. CoRR abs/2412.03250 (2024) - [i84]Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, Thomas Bäck:
MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler. CoRR abs/2412.07444 (2024) - 2023
- [j61]Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat:
Deep multiagent reinforcement learning: challenges and directions. Artif. Intell. Rev. 56(6): 5023-5056 (2023) - [j60]Maarten C. Vonk, Ninoslav Malekovic, Thomas Bäck, Anna V. Kononova:
Disentangling causality: assumptions in causal discovery and inference. Artif. Intell. Rev. 56(9): 10613-10649 (2023) - [j59]Alexander Zeiser, Bekir Özcan, Christoph Kracke, Bas van Stein, Thomas Bäck:
A data-centric approach to anomaly detection in layer-based additive manufacturing. Autom. 71(1): 81-89 (2023) - [j58]Alexander Zeiser, Bekir Özcan, Bas van Stein, Thomas Bäck:
Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection. Comput. Ind. 146: 103852 (2023) - [j57]Haotian Zhang, Jianyong Sun, Thomas Bäck, Qingfu Zhang, Zongben Xu:
Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]. IEEE Comput. Intell. Mag. 18(1): 84-103 (2023) - [j56]Xishu Li, Maurits de Groot, Thomas Bäck:
Using forecasting to evaluate the impact of COVID-19 on passenger air transport demand. Decis. Sci. 54(4): 394-409 (2023) - [j55]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:
Evolutionary Algorithms for Parameter Optimization - Thirty Years Later. Evol. Comput. 31(2): 81-122 (2023) - [j54]Zhengtian Ai, Ingo Heinle, Christian Schelske, Hao Wang, Peter Krause, Thomas Bäck:
Classification-based process parameter recommendation in sheet metal forming. J. Ind. Inf. Integr. 34: 100458 (2023) - [j53]Dani Irawan, Boris Naujoks, Thomas Bäck, Michael Emmerich:
Dominance-based variable analysis for large-scale multi-objective problems. Nat. Comput. 22(2): 243-257 (2023) - [c266]Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr:
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts. AutoML 2023: 7/1-14 - [c265]Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck:
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CEC 2023: 1-9 - [c264]David Von Dollen, Reuben Brasher, Florian Neukart, Thomas Bäck:
Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies. CiSt 2023: 536-540 - [c263]Ksenia Pereverdieva, Michael Emmerich, André H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer:
The Prism-Net Search Space Representation for Multi-objective Building Spatial Design. EMO 2023: 476-489 - [c262]Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich:
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method. EMO 2023: 518-531 - [c261]André Thomaser, Marc-Eric Vogt, Anna V. Kononova, Thomas Bäck:
Transfer of Multi-objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem. EMO 2023: 546-560 - [c260]Sebastiaan Brand, Thomas Bäck, Alfons Laarman:
A Decision Diagram Operation for Reachability. FM 2023: 514-532 - [c259]Kirill A. Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein:
Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations. FOGA 2023: 15-26 - [c258]Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck:
General Boolean Function Benchmark Suite. FOGA 2023: 84-95 - [c257]Bas van Stein, Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck:
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis. GECCO Companion 2023: 515-518 - [c256]Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck:
Towards a General Boolean Function Benchmark Suite. GECCO Companion 2023: 591-594 - [c255]André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova:
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. GECCO 2023: 856-863 - [c254]Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck:
Modular Differential Evolution. GECCO 2023: 864-872 - [c253]Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye:
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. GECCO Companion 2023: 938-945 - [c252]Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras:
Clustering-based Domain-Incremental Learning. ICCV (Workshops) 2023: 3376-3384 - [c251]André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova:
Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters. IJCCI 2023: 31-40 - [c250]Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein:
Challenges of ELA-Guided Function Evolution Using Genetic Programming. IJCCI 2023: 119-130 - [c249]André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova:
Optimizing CMA-ES with CMA-ES. IJCCI 2023: 214-221 - [c248]Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova:
MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing. IJCCI 2023: 407-418 - [c247]Waheeda Saib, Xavier Bonet-Monroig, Vedran Dunjko, Ivano Tavernelli, Thomas Bäck, Hao Wang:
Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry. QCE 2023: 83-88 - [c246]Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bäck, Vedran Dunjko:
Application of quantum-inspired generative models to small molecular datasets. QCE 2023: 342-348 - [d19]Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein:
Challenges of ELA-based Function Evolution using Genetic Programming - Reproducability files. Zenodo, 2023 - [d18]Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr:
MA-BBOB - Reproducibility and Additional Data. Version 1. Zenodo, 2023 [all versions] - [i83]Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck:
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CoRR abs/2302.01464 (2023) - [i82]Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck:
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. CoRR abs/2303.04611 (2023) - [i81]Bas van Stein, Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck:
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis. CoRR abs/2304.01219 (2023) - [i80]Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck:
Modular Differential Evolution. CoRR abs/2304.09524 (2023) - [i79]Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bäck, Vedran Dunjko:
Application of quantum-inspired generative models to small molecular datasets. CoRR abs/2304.10867 (2023) - [i78]André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova:
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. CoRR abs/2304.13117 (2023) - [i77]Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein:
Challenges of ELA-guided Function Evolution using Genetic Programming. CoRR abs/2305.15245 (2023) - [i76]Kirill Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein:
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems. CoRR abs/2306.02985 (2023) - [i75]Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr:
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts. CoRR abs/2306.10627 (2023) - [i74]Jiajie Fan, Laure Vuaille, Hao Wang, Thomas Bäck:
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis. CoRR abs/2307.10166 (2023) - [i73]Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova:
MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing. CoRR abs/2309.02253 (2023) - [i72]Christiaan Lamers, René Vidal, Ahmed Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras:
Clustering-based Domain-Incremental Learning. CoRR abs/2309.12078 (2023) - [i71]Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang:
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models. CoRR abs/2311.11207 (2023) - [i70]Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr:
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts. CoRR abs/2312.11083 (2023) - 2022
- [j52]Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
An Efficient Contesting Procedure for AutoML Optimization. IEEE Access 10: 75754-75771 (2022) - [j51]Bas van Stein, Elena Raponi, Zahra Sadeghi, Niek Bouman, Roeland C. H. J. van Ham, Thomas Bäck:
A Comparison of Global Sensitivity Analysis Methods for Explainable AI With an Application in Genomic Prediction. IEEE Access 10: 103364-103381 (2022) - [j50]Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen:
Robust subgroup discovery. Data Min. Knowl. Discov. 36(5): 1885-1970 (2022) - [j49]Marios Kefalas, Juan de Santiago Rojo Jr., Asteris Apostolidis, Dirk van den Herik, Bas van Stein, Thomas Bäck:
Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines. J. Aerosp. Inf. Syst. 19(6): 447-454 (2022) - [j48]Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir:
The vision of self-evolving computing systems. J. Integr. Des. Process. Sci. 26(3-4): 351-367 (2022) - [j47]Roy de Winter, Philip Bronkhorst, Bas van Stein, Thomas Bäck:
Constrained Multi-Objective Optimization with a Limited Budget of Function Evaluations. Memetic Comput. 14(2): 151-164 (2022) - [j46]Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel:
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation. IEEE Trans. Evol. Comput. 26(2): 206-217 (2022) - [j45]