Few-shot transfer learning for intelligent fault diagnosis of machine
Rotating machinery intelligent diagnosis with large data has been researched
comprehensively, while there is still a gap between the existing diagnostic model and the …
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
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 …
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 …
representation and understand scattered data properties. It has gained considerable …
Meta-features for meta-learning
Meta-learning is increasingly used to support the recommendation of machine learning
algorithms and their configurations. These recommendations are made based on meta-data …
algorithms and their configurations. These recommendations are made based on meta-data …
Deep computer vision system for cocoa classification
The shuffled frog lea** algorithm (SFLA) is a promising metaheuristic bionics algorithm,
which has been designed by the shuffled complex evolution and the particle swarm …
which has been designed by the shuffled complex evolution and the particle swarm …
Hyperparameter tuning of convolutional neural networks for building construction image classification
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 …
the challenges in this field is the definition of hyperparameters. Thus, the objective of this …