Thomas Bäck

Thomas Bäck

Universiteit Leiden

H-index: 66

Europe-Netherlands

About Thomas Bäck

Thomas Bäck, With an exceptional h-index of 66 and a recent h-index of 40 (since 2020), a distinguished researcher at Universiteit Leiden, specializes in the field of Evolutionary Computation, Evolutionary Algorithms, Machine Learning, Industry 4.0, Natural Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Solving Deep Reinforcement Learning Benchmarks with Linear Policy Networks

Method Development for the Prediction of Melt Quality in the Extrusion Process

Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder

A Functional Analysis Approach to Symbolic Regression

Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler

Learning to select the recombination operator for derivative-free optimization

Biophysics-inspired spike rate adaptation for computationally efficient phenomenological nerve modeling

Large-scale Benchmarking of Metaphor-based Optimization Heuristics

Thomas Bäck Information

University

Position

Professor of Computer Science ; Chief Scientist NORCE Research Centre Norway

Citations(all)

44308

Citations(since 2020)

9269

Cited By

37176

hIndex(all)

66

hIndex(since 2020)

40

i10Index(all)

270

i10Index(since 2020)

176

Email

University Profile Page

Universiteit Leiden

Google Scholar

View Google Scholar Profile

Thomas Bäck Skills & Research Interests

Evolutionary Computation

Evolutionary Algorithms

Machine Learning

Industry 4.0

Natural Computing

Top articles of Thomas Bäck

Title

Journal

Author(s)

Publication Date

Solving Deep Reinforcement Learning Benchmarks with Linear Policy Networks

arXiv preprint arXiv:2402.06912

Annie Wong

Jacob de Nobel

Thomas Bäck

Aske Plaat

Anna V Kononova

2024/2/10

Method Development for the Prediction of Melt Quality in the Extrusion Process

Polymers

Dorte Trienens

Volker Schöppner

Peter Krause

Thomas Bäck

Seraphin Tsi-Nda Lontsi

...

2024/4/25

Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder

arXiv preprint arXiv:2403.05352

Jiajie Fan

Amal Trigui

Thomas Bäck

Hao Wang

2024/3/8

A Functional Analysis Approach to Symbolic Regression

arXiv preprint arXiv:2402.06299

Kirill Antonov

Roman Kalkreuth

Kaifeng Yang

Thomas Bäck

Niki van Stein

...

2024/2/9

Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler

arXiv preprint arXiv:2404.15837

Diederick Vermetten

Johannes Lengler

Dimitri Rusin

Thomas Bäck

Carola Doerr

2024/4/24

Learning to select the recombination operator for derivative-free optimization

Science China Mathematics

Haotian Zhang

Jianyong Sun

Thomas Bäck

Zongben Xu

2024/2/22

Biophysics-inspired spike rate adaptation for computationally efficient phenomenological nerve modeling

Hearing Research

Jacob de Nobel

Savine SM Martens

Jeroen J Briaire

Thomas HW Bäck

Anna V Kononova

...

2024/4/24

Large-scale Benchmarking of Metaphor-based Optimization Heuristics

arXiv preprint arXiv:2402.09800

Diederick Vermetten

Carola Doerr

Hao Wang

Anna V Kononova

Thomas Bäck

2024/2/15

Angling for Causality behind Security: Natural Causes of Armed Conflict in Iraq

Ninoslav Malekovic

Maarten Vonk

Laura Birkman

Tim Sweijs

Anna Kononova

...

2024/2/9

Iohexperimenter: Benchmarking platform for iterative optimization heuristics

Evolutionary Computation

Jacob de Nobel

Furong Ye

Diederick Vermetten

Hao Wang

Carola Doerr

...

2024/2/15

Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification

arXiv preprint arXiv:2402.01343

Qi Huang

Wei Chen

Thomas Bäck

Niki van Stein

2024/2/2

Reinforcement learning assisted recursive qaoa

EPJ Quantum Technology

Yash J Patel

Sofiene Jerbi

Thomas Bäck

Vedran Dunjko

2024/12

Parallel multi-objective optimization for expensive and inexpensive objectives and constraints

Swarm and Evolutionary Computation

Roy de Winter

Bas Milatz

Julian Blank

Niki van Stein

Thomas Bäck

...

2024/4/1

Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems

arXiv preprint arXiv:2402.07654

Haoran Yin

Diederick Vermetten

Furong Ye

Thomas HW Bäck

Anna V Kononova

2024/2/12

Hyperparameter importance and optimization of quantum neural networks across small datasets

Machine Learning

Charles Moussa

Yash J Patel

Vedran Dunjko

Thomas Bäck

Jan N van Rijn

2024/4

Automated machine learning: past, present and future

Artificial Intelligence Review

Mitra Baratchi

Can Wang

Steffen Limmer

Jan N van Rijn

Holger Hoos

...

2024/5

Explainable Benchmarking for Iterative Optimization Heuristics

Niki van Stein

Diederick Vermetten

Anna V. Kononova

Thomas Bäck

2024/1/2

What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms

arXiv preprint arXiv:2303.04611

Furong Ye

Frank Neumann

Jacob de Nobel

Aneta Neumann

Thomas Bäck

2023/3/8

On the Noise Scheduling for Generating Plausible Designs with Diffusion Models

arXiv preprint arXiv:2311.11207

Jiajie Fan

Laure Vuaille

Thomas Bäck

Hao Wang

2023/11/19

Optimizing stimulus energy for cochlear implants with a machine learning model of the auditory nerve

Hearing Research

Jacob de Nobel

Anna V Kononova

Jeroen J Briaire

Johan HM Frijns

Thomas HW Bäck

2023/5/1

See List of Professors in Thomas Bäck University(Universiteit Leiden)

Co-Authors

H-index: 84
Grzegorz Rozenberg

Grzegorz Rozenberg

Universiteit Leiden

H-index: 60
A.E. Eiben

A.E. Eiben

Vrije Universiteit Amsterdam

H-index: 42
Michael T.M. Emmerich (Dr. rer. nat.)

Michael T.M. Emmerich (Dr. rer. nat.)

Universiteit Leiden

H-index: 24
Hao Wang

Hao Wang

Universiteit Leiden

H-index: 15
Niki van Stein

Niki van Stein

Universiteit Leiden

H-index: 13
Anna V Kononova

Anna V Kononova

Universiteit Leiden

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