eLife

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
IEEE

Hierarchy-Aware and Knowledge-Guided Learning for Multi-Label Classification of Retinal Diseases From Fundus Images

Abstract: Retinal diseases (RD) are major causes of global vision impairment. Automated diagnosis using fundus images has significant clinical value, particularly in multi-label classification of RD.

AI turns mouse movements into language-like tokens, uncovering autism-related social behavior patterns

An artificial intelligence model capable of reading and interpreting animal behavior like language has been developed by ...
techxplore

A novel deep learning architecture for multi-source data fusion

Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different ...
IEEE

Partial Multi-View Incomplete Multi-Label Learning Network With Quality-Aware Representation Fusion

Abstract: Recently, the topic of multi-view multi-label classification has aroused significant attention from scholars. Plenty of methods adopt an average weighting scheme to merge the features ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...