Noah Schaefferkoetter

According to our database1, Noah Schaefferkoetter authored at least 8 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep learning uncertainty quantification for clinical text classification.
J. Biomed. Informatics, January, 2024

2023
FrESCO: Framework for Exploring Scalable Computational Oncology.
J. Open Source Softw., October, 2023

2021
Limitations of Transformers on Clinical Text Classification.
IEEE J. Biomed. Health Informatics, 2021

Deep active learning for classifying cancer pathology reports.
BMC Bioinform., 2021

2020
Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports.
CoRR, 2020

2019
Classifying cancer pathology reports with hierarchical self-attention networks.
Artif. Intell. Medicine, 2019

Semi-Supervised Information Extraction for Cancer Pathology Reports.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019


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