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Thomas Bäck

leiden university

54H-index
683Paper Count
2.2WCitation Count
Published Papers 56
Publication Date
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DQS: a low-budget query strategy for enhancing unsupervised data-driven anomaly detection approaches
errJournal of Big Data
IF6.4
err2026-08-08
err0
errOAAI
errLucas Correia; Jan-Christoph Goos; Thomas Bäck; Anna V. Kononova
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Model-based safe coordinated control for centrifugal compressors using evolution strategy
errResults in Engineering
IF7.9
err2026-05-28
err0
errOAAI
errXiaohan Wei; Qing Zhang; Zhigang Ren; Jinping Luo; Thomas Bäck; Hao Wang
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errSave
Deconstructing deep imbalance regression: a comprehensive review and experimental evaluation
errArtificial Intelligence Review
IF13.9
err2026-04-22
err0
errOAAI
errNoah C. Puetz; Jens U. Brandt; Marc Hilbert; Elena Raponi; Thomas Bäck; Thomas Bartz-Beielstein
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errSave
Multi-Step Reasoning with Large Language Models; a Survey
errACM Computing Surveys
IF28
err2025-12-09
err0
errOAAI
errAske Plaat; Annie Wong; Suzan Verberne; Joost Broekens; Niki Van Stein; Thomas Bäck
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errSave
Machine learning for hydrogen technologies: A comprehensive review of challenges, opportunities, and emerging trends
errInternational Journal of Hydrogen Energy
IF8.3
err2025-11-19
err0
errOAAI
errRobin van der Laag; Agnese Rizzato; Thomas Bäck; Yingjie Fan
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From spikes to speech: NeuroVoc – A biologically plausible vocoder framework for auditory perception and cochlear implant simulation
errHearing Research
IF2.5
err2025-11-11
err0
errOAAI
errJacob de Nobel; Jeroen J. Briaire; Thomas H.W. Bäck; Anna V. Kononova; Johan H.M. Frijns
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errSave
PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series
errBig Data Research
IF4.2
err2025-11-07
err0
errOAAI
errLucas Correia; Jan-Christoph Goos; Thomas Bäck; Anna V. Kononova
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Conference Report on 2025 IEEE Congress on Evolutionary Computation (IEEE CEC 2025) [Conference Reports]
errIEEE Computational Intelligence Magazine
IF11.2
err2025-11-01
err0
PREAI
errYaochu Jin; Thomas Bäck
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The travelling salesperson problem and the challenges of near-term quantum advantage
errQUANTUM SCIENCE AND TECHNOLOGY
IF5
err2025-05-16
err0
PREAI
errSmith-Miles, Kate A.; Hoos, Holger H.; Wang, Hao; Back, Thomas; Osborne, Tobias J.
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Surrogate-based automated hyperparameter optimization for expensive automotive crashworthiness optimization
errSTRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
IF4
err2025-04-01
err0
errOAAI
errLong, Fu Xing; van Stein, Niki; Frenzel, Moritz; Krause, Peter; Gitterle, Markus; Back, Thomas
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Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions (vol 138, 109323, 2024)
errENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
IF8
err2025-04-01
err0
PREAI
errCorreia, Lucas; Goos, Jan-Christoph; Klein, Philipp; Back, Thomas; Kononova, Anna V.
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Machine learning-driven discovery of high-performance MEMS disk resonator gyroscope structural topologies
errMICROSYSTEMS & NANOENGINEERING
IF9.9
err2024-10-30
err0
PREAI
errChen, Chen; Zhou, Jinqiu; Wang, Hongyi; Fan, Youyou; Song, Xinyue; Xie, Jianbing; Baeck, Thomas; Wang, Hao
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errSave
Parallel multi-objective optimization for expensive and inexpensive objectives and constraints
errSWARM AND EVOLUTIONARY COMPUTATION
IF8.5
err2024-04-01
err4
errOAAI
errde Winter, Roy; Milatz, Bas; Blank, Julian; van Stein, Niki; Back, Thomas; Deb, Kalyanmoy
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errSave
Reinforcement learning assisted recursive QAOA
errEPJ QUANTUM TECHNOLOGY
IF5.6
err2024-01-17
err8
errOAAI
errPatel, Yash J.; Jerbi, Sofiene; Back, Thomas; Dunjko, Vedran
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Hyperparameter importance and optimization of quantum neural networks across small datasets
errMACHINE LEARNING
IF2.9
err2023-08-31
err4
errOAAI
errMoussa, Charles; Patel, Yash J.; Dunjko, Vedran; Baeck, Thomas; van Rijn, Jan N.
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Equivariant quantum circuits for learning on weighted graphs
errNPJ QUANTUM INFORMATION
IF8.3
err2023-05-13
err29
errOAAI
errSkolik, Andrea; Cattelan, Michele; Yarkoni, Sheir; Back, Thomas; Dunjko, Vedran
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Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection
errCOMPUTERS IN INDUSTRY
IF9.1
err2023-04-01
err19
errOAAI
errZeiser, Alexander; Oezcan, Bekir; van Stein, Bas; Baeck, Thomas
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errSave
Robustness of quantum reinforcement learning under hardware errors
errEPJ QUANTUM TECHNOLOGY
IF5.6
err2023-02-28
err13
errOAAI
errSkolik, Andrea; Mangini, Stefano; Baeck, Thomas; Macchiavello, Chiara; Dunjko, Vedran
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Making multidisciplinary optimization fit for practical usage in car body development
errSTRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
IF4
err2023-02-28
err2
errOAAI
errBuettner, Jana; Schumacher, Axel; Back, Thomas; Schwarz, Stefan; Krause, Peter
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Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning
errIEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
IF11.2
err2023-02-01
err6
errOAAI
errZhang, Haotian; Sun, Jianyong; Back, Thomas; Zhang, Qingfu; Xu, Zongben
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Research Directions

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Co-authors
Cooperation Journals
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Kalyanmoy Deb
H-index: 118 · Papers: 896
Y
Yaochu Jin
H-index: 116 · Papers: 1.0K
X
Xin Yao
H-index: 116 · Papers: 1.5K
王
王浩 (Hao Wang)
H-index: 87 · Papers: 3.7K
A
Adriaan P. IJzerman
H-index: 77 · Papers: 638
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