A Correlation-Aware Feature Selection and Explainable AI Framework for Avian Influenza Outbreak Prediction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3625369
Abstract: Timely and accurate prediction of infectious disease outbreaks is essential for effective public health response and resource allocation. Machine learning (ML) models have shown promise in forecasting such outbreaks by uncovering complex patterns in surveillance… read more here.
Keywords: correlation; framework; correlation aware; aware feature ... See more keywords
Correlation-Aware Joint Support Recovery With Separation Prior
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3195429
Abstract: Sparse support recovery from multiple measurement vectors (MMV) is studied in this letter. For years, a noticeable mismatch exists between the theories and algorithms in the research of super-resolution and direction-of-arrival (DOA) estimation that variants… read more here.
Keywords: support recovery; recovery; correlation aware; separation ... See more keywords
CGATracker: Correlation-Aware Graph Alignment for Referring Multi-Object Tracking
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3576341
Abstract: Referring multi-object tracking (RMOT) aims to identify specific targets based on sentence descriptions. To enhance multi-modal learning, previous works typically rely on a simple fusion module at early or late stages. However, those methods frequently… read more here.
Keywords: referring multi; aware graph; correlation aware; alignment ... See more keywords