Eric LaRose

Orcid: 0000-0001-8353-5470

According to our database1, Eric LaRose authored at least 13 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
2D Phase-Based RFID Localization for On-Site Landslide Monitoring.
Remote. Sens., 2022

Long-term Monitoring of Soil Surface Deformation with RFID.
Proceedings of the 12th IEEE International Conference on RFID Technology and Applications, 2022

2019
Machine learning for phenotyping opioid overdose events.
J. Biomed. Informatics, 2019

2018
A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.
J. Am. Medical Informatics Assoc., 2018

Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure.
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018

Diagnostic Classification of Lung CT Images Using Deep 3D Multi-Scale Convolutional Neural Network.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2017
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.
J. Am. Medical Informatics Assoc., 2017

Outdoor meteorological effects on UHF RFID phase shift: Experimental simulations.
Proceedings of the 2017 IEEE International Conference on RFID, 2017

Machine Learning-as-a-Service and Its Application to Medical Informatics.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Entity Matching Using Magellan: Matching Drug Reference Tables.
Proceedings of the Summit on Clinical Research Informatics, 2017

SCCS for Detection of Differences in Brand and Generic Adverse Drug Events.
Proceedings of the Summit on Clinical Research Informatics, 2017

bigNN: An open-source big data toolkit focused on biomedical sentence classification.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Developing an NLP Pipeline for Thyroid Ultrasound Reporting.
Proceedings of the AMIA 2016, 2016


  Loading...