Few-shot transfer learning for intelligent fault diagnosis of machine

J Wu, Z Zhao, C Sun, R Yan, X Chen - Measurement, 2020 - Elsevier
Rotating machinery intelligent diagnosis with large data has been researched
comprehensively, while there is still a gap between the existing diagnostic model and the …

A systematic review of deep learning based image segmentation to detect polyp

M Gupta, A Mishra - Artificial Intelligence Review, 2024 - Springer
Among the world's most common cancers, colorectal cancer is the third most severe form of
cancer. Early polyp detection reduces the risk of colorectal cancer, vital for effective …

Meta-learning approaches for learning-to-learn in deep learning: A survey

Y Tian, X Zhao, W Huang - Neurocomputing, 2022 - Elsevier
Compared to traditional machine learning, deep learning can learn deeper abstract data
representation and understand scattered data properties. It has gained considerable …

Meta-features for meta-learning

A Rivolli, LPF Garcia, C Soares, J Vanschoren… - Knowledge-Based …, 2022 - Elsevier
Meta-learning is increasingly used to support the recommendation of machine learning
algorithms and their configurations. These recommendations are made based on meta-data …

Hyperparameter tuning of convolutional neural networks for building construction image classification

ALC Ottoni, MS Novo, DB Costa - The Visual Computer, 2023 - Springer
Deep Learning models have important applications in image processing. However, one of
the challenges in this field is the definition of hyperparameters. Thus, the objective of this …