Yaxin Hou, Bo Han, Yuheng Jia, Hui Liu, Junhui Hou, Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning, Advances in Neural Information ...
Sleep is one of medicine's underused data streams. Clinically, disturbed sleep has often been treated as a symptom of a disorder, but sleep is also a physiological state in which brain, cardiac, ...
Abstract: Overcoming class imbalance is a critical challenge for graph-based semi-supervised classification methods. In this letter, we address this issue from the perspective of graph filtering and ...
University of Surrey as a Lecturer in Robotics and is a Royal Society Short Industry Fellow. His research focuses on robotic perception, learning, and collaboration, approaching these challenges ...
To evaluate the diagnostic performance of semi-supervised learning models for aggressive prostate cancer detection on MRI compared to fully supervised models trained with additional expert annotations ...
Graph Neural Networks (GNNs) have emerged as a dominant framework for semi-supervised learning on graph-structured data, achieving remarkable performance in tasks such as node classification through ...
Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...
ABSTRACT: Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, ...
ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results