… The focus of our discussion is quality assessment for a given supervised learning algorithm.
However, we also discuss important aspects in the design of the algorithm toward the end of …

… that semisupervised learning represents the current best way forward in automatic audio
or … quality assessment. In particular, we are encouraged by the capacity of semi-supervised …

… In Section III, we detail the weakly supervised learning including the weak label generation,
feature extraction and the structure of CNN. In Section IV, the resampling strategy is …

… -supervised learning method for fetal MRI quality assessment. … -the-art semi-supervised
methods. We also implemented and … of online image quality assessment and image reacquisition …

… selection of ECG segments with sufficient quality for precise diagnosis has been widely
proposed, and numerous algorithms for such ECG quality assessment can be found. Although …

… The image quality estimator and the existing deep learning-based detector have the
same method for detecting an object, but the image quality estimator is trained in a self-supervised …

… quality evaluation method based on self-supervised learning … , and the self-supervised learning
training process is carried out … We propose a new self-supervised learning method, which …

… Previous work has demonstrated that supervised learning‐… the Hotelling detector with
machine‐learning (ML) methods. … be used as a surrogate for HO in image quality assessment. …

… This property motivated us to perform semi-supervised learning [18] … availability of human
scores for image quality assessment. … Our learning model extends this work to semi-supervised …

… By removing the poor quality images, it can not only improve recognition performance but …
-end face quality assessment algorithm based on a semi-supervised learning framework. The …