16 citations · 23 across the 4 of their papers we have counts for
4 papers
PRISM: A Transformer-based Language Model of Structured Clinical Event Data
Lionel Levine, John Santerre, Alex S. Young +3
We introduce PRISM (Predictive Reasoning in Sequential Medicine), a transformer-based architecture designed to model the sequential progression of clinical decision-making processe…
Feature Extraction and Classification from Planetary Science Datasets enabled by Machine Learning
Conor Nixon, Zachary Yahn, Ethan Duncan +9
In this paper we present two examples of recent investigations that we have undertaken, applying Machine Learning (ML) neural networks (NN) to image datasets from outer planet miss…
sEMG Gesture Recognition with a Simple Model of Attention
David Josephs, Carson Drake, Andrew Heroy +1
Myoelectric control is one of the leading areas of research in the field of robotic prosthetics. We present our research in surface electromyography (sEMG) signal classification, w…
Machine Learning for Antimicrobial Resistance
John W. Santerre, James J. Davis, Fangfang Xia +1
Biological datasets amenable to applied machine learning are more available today than ever before, yet they lack adequate representation in the Data-for-Good community. Here we pr…