Duncan C. McElfresh

According to our database, Duncan C. McElfresh authored at least 21 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating accuracy and fairness of clinical decision support algorithms when health care resources are limited.

Esther L. Meerwijk, Duncan C. McElfresh, Susana B. Martins, Suzanne R. Tamang

J. Biomed. Informatics, 2024

Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems.

Alison Callahan, Duncan C. McElfresh, Juan M. Banda, Gabrielle Bunney, Danton Char, Jonathan H. Chen, Conor K. Corbin, Debadutta Dash, Norman L. Downing, Sneha S. Jain, Nikesh Kotecha, Jonathan Masterson, Michelle M. Mello, Keith E. Morse, Srikar Nallan, Abby Pandya, Anurang Revri, Aditya Sharma, Christopher D. Sharp, Rahul Thapa, Michael Wornow, Alaa Youssef, Michael A. Pfeffer, Nigam H. Shah

CoRR, 2024

2023

Matching algorithms for blood donation.

Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson

Nat. Mac. Intell., October, 2023

A call for better validation of opioid overdose risk algorithms.

Duncan C. McElfresh, Lucia Chen, Elizabeth Oliva, Vilija Joyce, Sherri Rose, Suzanne Tamang

J. Am. Medical Informatics Assoc., September, 2023

When Do Neural Nets Outperform Boosted Trees on Tabular Data?

Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

On the Generalizability and Predictability of Recommender Systems.

Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Practical Algorithms for Resource Allocation and Decision Making.

Duncan C. McElfresh

PhD thesis, 2021

Distributionally Robust Cycle and Chain Packing With Application To Organ Exchange.

Duncan C. McElfresh, John P. Dickerson, Ke Ren, Hoda Bidkhori

Proceedings of the Winter Simulation Conference, 2021

Indecision Modeling.

Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P. Dickerson

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Optimal Kidney Exchange with Immunosuppressants.

Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Active Preference Elicitation via Adjustable Robust Optimization.

Phebe Vayanos, Duncan C. McElfresh, Yingxiao Ye, John Paul Dickerson, Eric Rice

CoRR, 2020

Can an Algorithm be My Healthcare Proxy?

Duncan C. McElfresh, Samuel Dooley, Yuan Cui, Kendra Griesman, Weiqin Wang, Tyler Will, Neil Sehgal, John P. Dickerson

CoRR, 2020

Kidney Exchange with Inhomogeneous Edge Existence Uncertainty.

Hoda Bidkhori, John Dickerson, Duncan C. McElfresh, Ke Ren

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Improving Policy-Constrained Kidney Exchange via Pre-Screening.

Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics.

Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz

Proceedings of the 37th International Conference on Machine Learning, 2020

Human Comprehension of Fairness in Machine Learning.

Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making.

Lok Chan, Kenzie Doyle, Duncan C. McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg, Walter Sinnott-Armstrong

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

A Framework for Technically- and Morally-Sound AI.

Duncan C. McElfresh

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Scalable Robust Kidney Exchange.

Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange.

Duncan C. McElfresh, John P. Dickerson

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2012

Automatic classification of audio data using nonlinear neural response models.

Jörg-Hendrik Bach, Arne-Freerk Meyer, Duncan C. McElfresh, Jörn Anemüller

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012