most citedBorrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025

VECT-GAN: A variationally encoded generative model for overcoming data scarcity in pharmaceutical science

Youssef Abdalla, Marrisa Taub, Eleanor Hilton +7

Data scarcity in pharmaceutical research has led to reliance on labour-intensive trial-and-error approaches for development rather than data-driven methods. While Machine Learning…

cs.LG2024★ 2 cited

Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity

Zhuo Zhi, Ziquan Liu, Moe Elbadawi +5

Multimodal machine learning with missing modalities is an increasingly relevant challenge arising in various applications such as healthcare. This paper extends the current researc…

cs.LG2024

HgbNet: predicting hemoglobin level/anemia degree from EHR data

Zhuo Zhi, Moe Elbadawi, Adam Daneshmend +4

Anemia is a prevalent medical condition that typically requires invasive blood tests for diagnosis and monitoring. Electronic health records (EHRs) have emerged as valuable data so…