This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Using artificial intelligence, DinoTracker can accurately classify dinosaur tracks around 90 percent of the time ...