6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2023
S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture
Ye Xue, Diego Klabjan, Jean Utke
Multimodal multitask learning has attracted an increasing interest in recent years. Singlemodal models have been advancing rapidly and have achieved astonishing results on various…
cs.LG2021
Aggregation Delayed Federated Learning
Ye Xue, Diego Klabjan, Yuan Luo
Federated learning is a distributed machine learning paradigm where multiple data owners (clients) collaboratively train one machine learning model while keeping data on their own…
cs.LG2019★ 6 cited
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension
Ye Xue, Diego Klabjan, Yuan Luo
The problem of missing values in multivariable time series is a key challenge in many applications such as clinical data mining. Although many imputation methods show their effecti…