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1-6 of 6 results for hyperparameter default value

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Available accessResearch articleFirst published February, 2026

Hyperparameter optimization approaches to improve the performance of machine learning models for cardiovascular risk prediction

Eduardo Sánchez-Jiménez, Alejandra Cuevas-Chávez, Yasmín Hernández [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Available accessResearch articleFirst published April, 2015

Weakly Informative Prior for Point Estimation of Covariance Matrices in Hierarchical Models

Yeojin Chung, Andrew Gelman, Sophia Rabe-Hesketh [...]

Journal of Educational and Behavioral Statistics

Available accessResearch articleFirst published May, 2021

Optimization of SMOTE for imbalanced data based on AdaRBFNN and hybrid metaheuristics

Zicheng Wang, Yanrui Sun

Intelligent Data Analysis: An International Journal

Available accessResearch articleFirst published July 18, 2022

Pruning by leveraging training dynamics

Andrei C. Apostol, Maarten C. Stol, Patrick Forré

The European Journal on Artificial Intelligence

Available accessResearch articleFirst published November, 2025

Balanced Learnable Activation Function (BLAF): Enhancing Classification Accuracy in Deep Neural Networks

Ali Abdullah Yahya, Majjed Al-Qatf, Jiansheng Jiang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Open accessResearch articleFirst published 2024

Deep convolutional neural network and IoT technology for healthcare

Sobia Wassan, Hu Dongyan, Beenish Suhail [...]

DIGITAL HEALTH

Search results

Articles (6)

Journals (0)

1-6 of 6 results for hyperparameter default value

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Sort by:

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Available accessResearch articleFirst published February, 2026

Hyperparameter optimization approaches to improve the performance of machine learning models for cardiovascular risk prediction

Eduardo Sánchez-Jiménez, Alejandra Cuevas-Chávez, Yasmín Hernández [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Available accessResearch articleFirst published April, 2015

Weakly Informative Prior for Point Estimation of Covariance Matrices in Hierarchical Models

Yeojin Chung, Andrew Gelman, Sophia Rabe-Hesketh [...]

Journal of Educational and Behavioral Statistics

Available accessResearch articleFirst published May, 2021

Optimization of SMOTE for imbalanced data based on AdaRBFNN and hybrid metaheuristics

Zicheng Wang, Yanrui Sun

Intelligent Data Analysis: An International Journal

Available accessResearch articleFirst published July 18, 2022

Pruning by leveraging training dynamics

Andrei C. Apostol, Maarten C. Stol, Patrick Forré

The European Journal on Artificial Intelligence

Available accessResearch articleFirst published November, 2025

Balanced Learnable Activation Function (BLAF): Enhancing Classification Accuracy in Deep Neural Networks

Ali Abdullah Yahya, Majjed Al-Qatf, Jiansheng Jiang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Open accessResearch articleFirst published 2024

Deep convolutional neural network and IoT technology for healthcare

Sobia Wassan, Hu Dongyan, Beenish Suhail [...]

DIGITAL HEALTH