Michael W. Sjoding
4 papers · 2019–2026 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Academic Marathon ยท Sprint
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Research topics
Keywords
statistical learning
(1)
causal inference
(1)
shortcut learning
(1)
algorithmic fairness
(1)
transfer learning
(1)
domain adaptation
(1)
medical imaging
(1)
model evaluation
(1)
deep learning
(1)
parameter sharing
(1)
patient risk stratification
(1)
long short-term memory
(1)
recurrent neural network
(1)
spurious correlation
(1)
randomized controlled trial
(1)
treatment effect
(1)
label bia
(1)
clinical time series
(1)
subgroup performance
(1)
clinical machine learning
(1)
Papers
Measuring Model Performance in the Presence of an Intervention
AAAI 2026
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning
MLHC 2022
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts
MLHC 2020
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series
MLHC 2019