Craniopharyngioma is a congenital brain tumor with clinical characteristics of hypothalamic-
pituitary dysfunction, increased intracranial pressure, and visual field disorder, among other …

Recently, safe semi-supervised clustering (S3C) has become an emerging topic in machine
learning field. S3C aims to reduce the performance degradation probability of wrong prior …

In machine learning field, Graph-based Semi-Supervised Learning (GSSL) has recently
attracted much attention and many researchers have proposed a number of different …

In this paper, we propose confidence-weighted safe semi-supervised clustering where prior
knowledge is given in the form of class labels. In some applications, some samples may be …

One major challenge in the current brain–computer interface research is the accurate
classification of time-varying electroencephalographic (EEG) signals. The labeled EEG …

Semi-supervised clustering generally assumes that prior knowledge is helpful to improve
clustering performance. However, the prior knowledge may degenerate the clustering …

Semi-supervised clustering is not only an important branch of semi-supervised learning but
also an improvement direction for clustering. Semi-supervised clustering algorithms …

Abstract Machine learning algorithms play a critical role in electroencephalograpy (EEG)-
based brain-computer interface (BCI) systems. However, collecting labeled samples for …

During the past decade, graph-based learning methods have proved to be an effective tool
to make full use of both labeled and unlabeled data samples to improve learning …

Both labeled and unlabeled data have been widely used in electroencephalographic (EEG)-
based brain-computer interface (BCI). However, labeled EEG samples are generally scarce …