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

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

collaborators

2 papers

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…