Michael W. Sjoding

28 papers A* 4Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Measuring Model Performance in the Presence of an Intervention. AAAI Winston Chen, Michael W. Sjoding, Jenna Wiens
2025	—	`conf`	Cross-Validation for Longitudinal Datasets with Unstable Correlations. KDD (2) Meera Krishnamoorthy, Michael W. Sjoding, Jenna Wiens
2025	J	`jnl`	Measuring Model Performance in the Presence of an Intervention. CoRR Winston Chen, Michael W. Sjoding, Jenna Wiens
2025	J	`jnl`	On the Limits of Selective AI Prediction: A Case Study in Clinical Decision Making. CoRR Sarah Jabbour, David Fouhey, Nikola Banovic, Stephanie D. Shepard, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens
2024	—	`conf`	DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks. ECCV (64) Sarah Jabbour, Gregory Kondas, Ella Kazerooni, Michael W. Sjoding, David Fouhey, Jenna Wiens
2024	J	`jnl`	DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks. CoRR Sarah Jabbour, Gregory Kondas, Ella Kazerooni, Michael W. Sjoding, David Fouhey, Jenna Wiens
2023	J	`jnl`	Collaborative strategies for deploying artificial intelligence to complement physician diagnoses of acute respiratory distress syndrome. npj Digit. Medicine Negar Farzaneh, Sardar Ansari, Elizabeth Lee, Kevin R. Ward, Michael W. Sjoding
2023	J	`jnl`	Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. CoRR Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens
2022	J	`jnl`	Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure. J. Am. Medical Informatics Assoc. Sarah Jabbour, David Fouhey, Ella Kazerooni, Jenna Wiens, Michael W. Sjoding
2022	—	`conf`	Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning. MLHC Trenton Chang, Michael W. Sjoding, Jenna Wiens
2022	J	`jnl`	Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning. CoRR Trenton Chang, Michael W. Sjoding, Jenna Wiens
2022	A*	`conf`	Learning Concept Credible Models for Mitigating Shortcuts. NeurIPS Jiaxuan Wang, Sarah Jabbour, Maggie Makar, Michael W. Sjoding, Jenna Wiens
2022	A*	`conf`	Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. NeurIPS Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens
2022	—	`ed.`	Proceedings of the Machine Learning for Healthcare Conference, MLHC 2022, 5-6 August 2022, Durham, NC, USA. MLHC Zachary C. Lipton, Rajesh Ranganath, Mark P. Sendak, Michael W. Sjoding, Serena Yeung
2021	J	`jnl`	Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features. Comput. Biol. Medicine Narathip Reamaroon, Michael W. Sjoding, Jonathan Gryak, Brian D. Athey, Kayvan Najarian, Harm Derksen
2021	J	`jnl`	Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure. CoRR Sarah Jabbour, David Fouhey, Ella Kazerooni, Jenna Wiens, Michael W. Sjoding
2021	J	`jnl`	Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome. IEEE J. Biomed. Health Informatics Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Elisa Warner, Michael W. Sjoding, Jonathan Gryak, Kayvan Najarian
2021	—	`ed.`	Proceedings of the Machine Learning for Healthcare Conference, MLHC 2021, 6-7 August 2021, Virtual Event. MLHC Ken Jung, Serena Yeung, Mark P. Sendak, Michael W. Sjoding, Rajesh Ranganath
2020	A*	`conf`	Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. ICML Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens
2020	J	`jnl`	Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. CoRR Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens
2020	—	`conf`	Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts. MLHC Sarah Jabbour, David Fouhey, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens
2020	J	`jnl`	Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts. CoRR Sarah Jabbour, David Fouhey, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens
2020	J	`jnl`	Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data. J. Am. Medical Informatics Assoc. Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, Danai Koutra, Michael W. Sjoding, Jenna Wiens
2020	J	`jnl`	Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome. BMC Medical Imaging Narathip Reamaroon, Michael W. Sjoding, Harm Derksen, Elyas Sabeti, Jonathan Gryak, Ryan P. Barbaro, Brian D. Athey, Kayvan Najarian
2019	J	`jnl`	Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome. IEEE J. Biomed. Health Informatics Narathip Reamaroon, Michael W. Sjoding, Kaiwen Lin, Theodore J. Iwashyna, Kayvan Najarian
2019	—	`conf`	Detection of Acute Respiratory Distress Syndrome by Incorporation of Label Uncertainty and Partially Available Privileged Information. EMBC Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Jonathan Gryak, Michael W. Sjoding, Kayvan Najarian
2019	—	`conf`	Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. MLHC Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens
2019	J	`jnl`	Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. CoRR Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens