IEEE

Mamba Cross-Modal Information Fusion Self-Distillation Model for Joint Classification of LiDAR and Hyperspectral Data

Abstract: Recent studies have found that compared to single-modal data, the joint classification of hyperspectral image (HSI) and light detection and ranging (LiDAR) multimodal data can use their ...
IEEE

A Multimodal Deep Learning Model for Cross-Project Issue Classification

Abstract: Software continuously evolves through changes, and issue reports encapsulate these change requests. In the GitHub system, a labeling mechanism has been introduced for systematic issue ...
GitHub

sandrolubis/Propagating-Annular-Mode-Cross-EOF-Feedback-Model

We introduce a reduced-order model for coupled EOF1 and EOF2 that accounts for potential cross-EOF eddy-zonal flow feedbacks in the propagating annular mode (PAM). Using the analytical solution of ...
The Lancet

Development of a multi-task deep learning system for classification of nine common knee abnormalities on MRI: a large-scale, multicentre, stepwise validation study

aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...
The Lancet

Validation of VaxEstim, a Bayesian model for rapid estimation of measles–mumps–rubella vaccination coverage at outbreak onset: a cross-sectional study

Present address: Rosemary A. Martoma, General Pediatrics, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115.
Frontiers

Interpretable machine learning model to predict 90-day radiographically confirmed pneumonia after chemotherapy initiation in non-Hodgkin lymphoma: development and internal ...

1 Department of Hematology, Dongyang Hospital Affiliated with Wenzhou Medical University, Jinhua, China 2 Department of Central Laboratory, Affiliated Hangzhou First People’s Hospital, School of ...
Frontiers

ConvAttentionNet: a high-performance model for efficient and accurate PolSAR data classification

This paper presents ConvAttentionNet, a lightweight and high performing deep learning model developed for accurate and efficient classification of Polarimetric Synthetic Aperture Radar (PolSAR) ...