Clustering-Informed Shared-Structure Variational Autoencoder for Missing Data Imputation in Large-Scale Healthcare Data.
Sign Up to like & getrecommendations! Published in 2025 at "Statistics in medicine"
DOI: 10.1002/sim.70335
Abstract: Despite advancements in healthcare data management, missing data in electronic health records (EHR) and patient‐reported outcomes remain a persistent challenge, limiting their usability in healthcare analytics. Conventional imputation methods often struggle to capture complex nonlinear… read more here.
Keywords: missing data; informed shared; shared structure; healthcare data ... See more keywords
Configurable Memory With a Multilevel Shared Structure Enabling In-Memory Computing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2022.3148327
Abstract: Frequent to-and-from data transfers in the von Neumann architecture limit the overall throughput. One of the promising approaches used to overcome von Neumann bottleneck is in-memory computing (IMC) that aims to embed computing in memory… read more here.
Keywords: multilevel shared; structure; shared structure; memory ... See more keywords
Shared structure facilitates working memory of multiple sequences
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DOI: 10.7554/elife.93158
Abstract: Daily experiences often involve the processing of multiple sequences, yet storing them challenges the limited capacity of working memory (WM). To achieve efficient memory storage, relational structures shared by sequences would be leveraged to reorganize… read more here.
Keywords: memory; working memory; shared structure; color ... See more keywords