Latest AI and machine learning research in intensivists for healthcare professionals.
Semi-supervised learning has a great potential in medical image segmentation tasks with a few labele...
The technique for target detection based on a convolutional neural network has been widely implement...
Graph neural networks (GNNs) have achieved remarkable performance in personalized recommendation, fo...
With the rapid growth of railways in China, the focus has changed to the maintenance of large-scale ...
Convolutional neural networks (CNN), especially numerous U-shaped models, have achieved great progre...
It is difficult for traditional signal-recognition methods to effectively classify and identify mult...
The current proliferation of mobile robots spans ecological monitoring, warehouse management and ext...
Multi-hop path reasoning over knowledge base aims at finding answer entities for an input question b...
Multi-disease prediction is regarded as the capacity to simultaneously identify various diseases tha...
The selection of an appropriate mining method is considered as an important tool in the mining desig...
Accurate and rapid diagnosis of coronavirus disease 2019 (COVID-19) from chest CT scans is of great ...
We propose a multi-agent learning approach for designing crowdsourcing contests and All-Pay auctions...
Machine learning methods can detect complex relationships between variables, but usually do not expl...
Video question answering (Video-QA) is a subject undergoing intense study in Artificial Intelligence...
Exabytes of data are generated daily by humans, leading to the growing needs for new efforts in deal...
Multi-robot systems are experiencing increasing popularity in joint rescue, intelligent transportati...
Due to the poor visibility of the deep-sea environment, acoustic signals are often collected and ana...
The major theme of this analysis is to suggest a new theory in the form of complex picture fuzzy sof...
Dynamic locomotion is realized through a simultaneous integration of adaptability and optimality. Th...
Medical image segmentation is a crucial step in the clinical applications for diagnosis and analysis...
This paper introduces a new dataset of a surgical knot-tying task, and a multi-modal deep learning m...