Search Results for author: Gregory Spell

Found 2 papers, 0 papers with code

An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets

no code implementations EMNLP 2020 Gregory Spell, Brian Guay, Sunshine Hillygus, Lawrence Carin

Legislator preferences are typically represented as measures of general ideology estimated from roll call votes on legislation, potentially masking important nuances in legislators{'} political attitudes.

FLOP: Federated Learning on Medical Datasets using Partial Networks

no code implementations10 Feb 2021 Qian Yang, Jianyi Zhang, Weituo Hao, Gregory Spell, Lawrence Carin

While different data-driven deep learning models have been developed to mitigate the diagnosis of COVID-19, the data itself is still scarce due to patient privacy concerns.

Federated Learning

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