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1

Search-based Hyperparameter Tuning for Python Unit Test Generation
Lukasczyk, Stephan ; Fraser, Gordon

Software Engineering
Report
2

Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation
Makomere, Robert ; Rutto, Hilary ; Alugongo, Alfayo ; et al.
In Unconventional Resources April 2025 6

Fachzeitschrift
4

Methodology for hyperparameter tuning of deep neural networks for efficient and accurate molecular property prediction
Nguyen, Xuan Dung James ; Liu, Y.A.
In Computers and Chemical Engineering February 2025 193

Fachzeitschrift
5

A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks
Passos, Dário ; Mishra, Puneet
In Chemometrics and Intelligent Laboratory Systems 15 April 2022 223

Fachzeitschrift
6

Optimizing SVM Performance through Combinatorial Hyperparameter Tuning and Model Selection
Hassan Tariq ; Mehwish Majeed ; Mueed Ahmad
International Journal Bioautomation, Vol 29, Iss 2, Pp 117-144 (2025)

support vector machine hyper parameter tuning combinatorial optimizati... model selection machine learning cross validation
Fachzeitschrift
7

Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data
Schratz, Patrick ; Muenchow, Jannes ; Iturritxa, Eugenia ; et al.
In Ecological Modelling 24 August 2019 406:109-120

Fachzeitschrift
8

Neural network estimation of thermal conductivity across full saturation for various soil types
Fu, Yongwei ; Horton, Robert ; Heitman, Joshua
In Computers and Electronics in Agriculture August 2025 235

Fachzeitschrift
9

Hyperparameter Tuning Cookbook: A guide for scikit-learn, PyTorch, river, and spotPython
Bartz-Beielstein, Thomas

Computer Science - Machi... Computer Science - Artif... 90C26 I.2.6 G.1.6
Report
10

MANGO: A Python Library for Parallel Hyperparameter Tuning
Sandha, Sandeep Singh ; Aggarwal, Mohit ; Fedorov, Igor ; et al.

Computer Science - Machi... Statistics - Machine Lea...
Report
11

Multi-Objective Optimization and Hyperparameter Tuning With Desirability Functions
Bartz-Beielstein, Thomas

Optimization and Control Machine Learning Applications 90C26 I.2.6; G.1.6
Report
12

PyTorch Hyperparameter Tuning - A Tutorial for spotPython
Bartz-Beielstein, Thomas

Computer Science - Machi... Computer Science - Artif... Mathematics - Numerical... 68T07 A.1 B.8.0
Report
13

Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUI
Bartz-Beielstein, Thomas

Computer Science - Machi... Computer Science - Artif... 90C26 I.2.6 G.1.6
Report
14

Surrogate Model-Based Multi-Objective Optimization Using Desirability Functions
Bartz-Beielstein, Thomas
Proceedings of the Genetic and Evolutionary Computation Conference Companion. :2458-2465

Konferenz
15

Forecasting water quality through machine learning and hyperparameter optimization
Elvin ; Wibowo, Antoni ; orcid:0009-0008-1044-

Classification report Hyperparameter tuning Machine learning Python Water quality
Fachzeitschrift
16

Text-attributed community detection in complex networks through LLMs and GNNs: A powerful fusion of language and graphs
K.S., Sruthi ; Sreekumar, A. ; Balakrishnan, Kannan
In Neurocomputing 28 September 2025 647

Fachzeitschrift
17

Multimodal AutoML for Image, Text and Tabular Data
Erickson, Nick ; Shi, Xingjian ; Sharpnack, James ; et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. :4786-4787

Konferenz
18

Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model.
Mohanad Faeq Ali ; Mohammed Shakir Mohmood ; Ban Salman Shukur ; et al.

Biotechnology Space Science Biological Sciences not... Information Systems not... recursive feature elimin... outperformed existing mo...
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19

pyMAISE: A Python platform for automatic machine learning and accelerated development for nuclear power applications
Myers, Patrick A. ; Panczyk, Nataly ; Chidige, Shashank ; et al.
In Progress in Nuclear Energy February 2025 180

Fachzeitschrift
20

Deep Learning Based Uncertainty Analysis on Elastic Properties of Unidirectional Composites
S.S., Akash ; Tiwari, Shashibhushan ; C.R., Bijudas ; et al.
In Procedia Structural Integrity 2025 71:180-187

Fachzeitschrift

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