Rachel Lea Draelos - researchr alias

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Viewing Publication 1 - 7 from 7

2023

How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcareJohannes Allgaier, Lena Mulansky, Rachel Lea Draelos, Rüdiger Pryss. artmed, 143:102616, September 2023. [doi]

2022

Explainable multiple abnormality classification of chest CT volumesRachel Lea Draelos, Lawrence Carin. artmed, 132:102372, 2022. [doi]

2021

Towards Fully Automated Interpretation of Volumetric Medical Images with Deep LearningRachel Lea Draelos. PhD thesis, Duke University, Durham, NC, USA, 2021. [doi]

Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumesRachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin. mia, 67:101857, 2021. [doi]

Playing Codenames with Language Graphs and Word EmbeddingsDivya Koyyalagunta, Anna Sun, Rachel Lea Draelos, Cynthia Rudin. jair, 71:319-346, 2021. [doi]

2020

A Transformer Approach to Contextual Sarcasm Detection in TwitterHunter Gregory, Steven Li, Pouya Mohammadi, Natalie Tarn, Rachel Lea Draelos, Cynthia Rudin. acl-figlang 2020: 270-275 [doi]

Metaphor Detection Using Contextual Word Embeddings From TransformersJerry Liu, Nathan O'Hara, Alexander Rubin, Rachel Lea Draelos, Cynthia Rudin. acl-figlang 2020: 250-255 [doi]

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