AI classifier flags bird flu genomes more likely to spread in mammals

A research team from the LKS Faculty of Medicine at the University of Hong Kong (HKUMed) has developed a machine-learning ...
IEEE

Explainable Machine Learning for Multiclass Stress Prediction Using Questionnaire Data

Abstract: The abrupt transition to Emergency Remote Learning during the COVID-19 pandemic significantly elevated psychological stress among higher education students. Yet, most existing research ...
Frontiers

Bursting the bubble: data leakage and inflated deep learning accuracy in multivariate time-series frailty classification

Accurate prediction of frailty in older adults is crucial for preventing adverse outcomes, yet distinguishing frail, pre-frail, and non-frail states remains challenging. A recent study applied ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
GitHub

EEG-Based Multiclass Attention Classification: Decoding Brain Signals with Quantum Machine Learning

Project aims to develop a quantum machine learning framework for classifying different attention states from EEG brain signals. Using quantum computing, we may be able to understand complex ...
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

A Machine Learning Framework for Mood State Classification in Bipolar Disorder Using Clinical Features ()

Bipolar disorder is a complex psychiatric condition characterized by alternating mood episodes, ranging from depression to mania. Accurate and timely detection of a patient’s current mood state is ...
IEEE

Multiclass Classification of Malware using Machine Learning

Abstract: This work aims to classify malware into one of its nine families using multiclass classification using machine learning. Due to the rising number of malware assaults on numerous devices, ...