MorphoGenie learns reusable cell features that could sharpen disease diagnosis

Cells contain a wealth of information about health and disease, but extracting that data reliably from microscope images remains a major challenge. Many important differences between healthy and ...
ERR NewsOpinion

Tiit Hennoste: Alien spoken Estonian and verbal communication

Spoken communication requires effort. At the same time, the relatively small number of important words and their uses can be ...
The Westerly SunOpinion

In My Own Shoes: Have a Heart & Let It Be Purple

I read about Ron Barnes a couple of weeks ago in the Providence Journal and his plan to create a dignified, lasting monument ...
IEEE

Software Defect Prediction Based on Deep Representation Learning of Source Code From Contextual Syntax and Semantic Graph

Abstract: Software defect prediction approaches play an essential role in the software development life cycle to help developers predict defects early, thus, preventing wasted time and effort. Defect ...
IEEE

Enhanced Syntactic and Semantic Graph Convolutional Network With Contrastive Learning for Aspect-Based Sentiment Analysis

Abstract: Aspect-based sentiment analysis (ABSA) aims to predict the sentiment polarity of a given specific aspect in the sentence. Recent studies focus on leveraging graph convolutional neural ...