Biomedical relation extraction (RE) is the task of automatically identif...
3D shape modeling is labor-intensive and time-consuming and requires yea...
The emergence of social media as one of the main platforms for people to...
Biomedical named entity recognition (BioNER) seeks to automatically reco...
Growing free online 3D shapes collections dictated research on 3D retrie...
We present the first fine-grained dataset of 1,497 3D VR sketch and 3D s...
We study the practical task of fine-grained 3D-VR-sketch-based 3D shape
...
Optimal execution is a sequential decision-making problem for cost-savin...
The automatic assignment of species information to the corresponding gen...
Automated relation extraction (RE) from biomedical literature is critica...
Device-to-device (D2D) links scheduling for avoiding excessive interfere...
With the rapid evolution of social media, fake news has become a signifi...
The COVID-19 pandemic has had a significant impact on society, both beca...
Automatic phenotype concept recognition from unstructured text remains a...
Many learning tasks involve multi-modal data streams, where continuous d...
Market Basket Analysis (MBA) is a popular technique to identify associat...
A chatbot that converses like a human should be goal-oriented (i.e., be
...
Bayesian nonparametric space partition (BNSP) models provide a variety o...
Modern approaches for semantic segmention usually pay too much attention...
A large number of retinal vessel analysis methods based on image segment...
Building spatiotemporal activity models for people's activities in urban...