Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
EurekAlert!

Label attention meets deep learning: a novel model for ICD-11 automatic classification of Chinese EMRs

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Scientific Research Publishing

Boutell, M.R., Luo, J., Shen, X. and Brown, C.M. (2004) Learning Multi-Label Scene Classification. Pattern Recognition, 37, 1757-1771.

ABSTRACT: A binary complete decision table with many-valued decisions is a table with n attributes and 2 n pairwise distinct rows filled with numbers from the set { 0,1 } . Each row of this table is ...
Frontiers

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

In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...
Frontiers

Enhancing mental health diagnostics through deep learning-based image classification

Introduction: The integration of artificial intelligence (AI) and machine learning technologies into healthcare, particularly for enhancing mental health diagnostics, represents a critical frontier in ...
IEEE

Multi-Label Classification On Aerial Images Using Deep Learning Techniques

Abstract: The one of the main problems in multi-label aerial image classification is remote sensing (RS) or aerial images understanding it increases interest in some of the research domains.