Latest AI and machine learning research in identifying and reporting child abuse for healthcare professionals.
The prevalence of multivariate time series data across several disciplines fosters a demand and, sub...
Historically, individuals with hearing impairments have faced neglect, lacking the necessary tools t...
In wind speed prediction technologies, deep learning-based methods have achieved promising advantage...
Event-based visual, a new visual paradigm with bio-inspired dynamic perception and μs level temporal...
Computer Aided Detection software based on Artificial Intelligence (AI-CAD), combined with chest X-r...
In recent years, the well-being impact assessment approach has been applied in the area of Artificia...
Sentiment analysis refers to the mining of textual context, which is conducted with the aim of ident...
With the development of artificial intelligence (AI) in the field of drug design and discovery, lear...
Neural architecture search (NAS) is gaining more and more attention in recent years because of its f...
Unsupervised graph-level representation learning has recently shown great potential in a variety of ...
Comparing a family structure to a company, one can often think of parents as leaders and adolescents...
Distant supervision (DS) can automatically generate annotated data for relation extraction (RE) with...
Semantic segmentation based on deep learning has undergone remarkable advancements in recent years. ...
Reliable methods are always greatly desired for the practice of food inspection. Currently, most foo...
BACKGROUND: Several studies have shown that robotic devices can effectively improve motor function i...
Modern neuroimaging techniques enable us to construct human brains as brain networks or connectomes....
Visual question answering (VQA) has gained increasing attention in both natural language processing ...
Most video-based person re-identification (re-id) methods only focus on appearance features but negl...
BACKGROUND: Nested and overlapping events are particularly frequent and informative structures in bi...
Deep learning has been a prevalence in computational chemistry and widely implemented in molecular p...
Due to the inconsistent distributions and representations of different modalities (e.g., images and ...