3 papers
cs.CV2025
Automated Multi-label Classification of Eleven Retinal Diseases: A Benchmark of Modern Architectures and a Meta-Ensemble on a Large Synthetic Dataset
Jerry Cao-Xue, Tien Comlekoglu, Keyi Xue +3
The development of multi-label deep learning models for retinal disease classification is often hindered by the scarcity of large, expertly annotated clinical datasets due to patie…
q-bio.QM2025
Extracting Inter-Protein Interactions Via Multitasking Graph Structure Learning
Jiang Li, Yuan-Ting Li
Identifying protein-protein interactions (PPI) is crucial for gaining in-depth insights into numerous biological processes within cells and holds significant guiding value in areas…
cs.IR2024
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
Siyi Liu, Yang Li, Jiang Li +2
Recent research in zero-shot Relation Extraction (RE) has focused on using Large Language Models (LLMs) due to their impressive zero-shot capabilities. However, current methods oft…