Pretrained deep learning models for dance classification represent a promising and impactful area of research in artificial intelligence, with real-world applications in entertainment, healthcare (e.g ...

The workflow for the machine learning pipeline is described in Fig. 2. For the first round of training, we identified a set of 625 GVOGs that are found in at least 25% of the genomes in each order. We ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

In a pioneering study, researchers from China Agricultural University have introduced ClimID-UDA, an unsupervised domain adaptation method that uses climate indicators to significantly improve crop ...

Traditional machine learning models for automatic information classification require retraining data for each task. Researchers have demonstrated that art data can be automatically classified with ...

Researchers from the Terasaki Institute for Biomedical Innovation, together with key pioneers in glioma biology, neuro-oncology and stem cell biology, have published a comprehensive review in Society ...

A large body of research effort has been dedicated to automated issue classification for Issue Tracking Systems (ITSs). Although the existing approaches have shown promising performance, the different ...