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Category: Publications

More than 10 000 Accesses: “Hyperparameter Tuning for Machine and Deep Learning” Book

This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice … More

Hyperparameter Tuning for Machine and Deep Learning with R

Open Access Book “Hyperparameter Tuning for Machine and Deep Learning with R” is finally published

The book “Hyperparameter Tuning for Machine and Deep Learning with R – A Practical Guide” is finally published. The content is … More

Open Access Book “Hyperparameter Tuning for ML and DL with R”: Proof reading started

Today, we received the proofs from Springer. The book will be available soon, see https://link.springer.com/book/9789811951695

UQOP: International Conference on Uncertainty Quantification & Optimisation

The book of proceedings of UQOP2020 was edited by Massimiliano Vasile and Domenico Quagliarella. It contains contributions by renowned theoretical … More

New Paper: High-Lift Devices Topology Robust Optimisation Using Machine Learning Assisted Optimisation

Authors: Lorenzo Gentile, Elisa Morales, Martin Zaefferer, Edmondo Minisci, Domenico Quagliarella, Thomas Bartz-Beielstein, Renato Tognaccini Abstract This paper addresses the … More

Open Access Article “Elevator group control as a constrained multiobjective optimization problem”

Authors: Aljoša Vodopija, Jörg Stork, Thomas Bartz-Beielstein, Bogdan Filipič Applied Soft Computing, Volume 115, 2022, https://doi.org/10.1016/j.asoc.2021.108277. Abstract Abstract: Modern elevator … More

J. Stork’s PhD Thesis is Online: “Way of the Fittest: Optimization by Behavioral Evolution”

Jörg Stork, who worked for many years in Prof. Bartz-Beielstein’s team in the Institute of Data Science, Engineering, and Application … More

Students from IDE+A (TH Köln) Participating at GECCO 2021

This year the IDE+A team was very active at Genetic and Evolutionary Computation Conference (GECCO). GECCO: high-quality results in genetic … More

AI-based approach to detect, classify and localize underwater events. Preprint “Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs” available on arXiv

The preprint of the paper “Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs” is available on … More

Hyperparameter Tuning Survey Paper: Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization

The working paper “Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization” by Eva Bartz, Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein was published on … More

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  • Another Successful PhD Defense: Frederik Rehbach on “Enhancing Surrogate-Based-Optimization Through Parallelization“
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  • Open Access Book “Hyperparameter Tuning for Machine and Deep Learning with R” is finally published

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