Duncan C. McElfresh

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 33

Top Topics

Healthcare Systems

Clinical Decision Support

Top Venues

Publications

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
Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. CoRR (2024)
Esther L. Meerwijk, Duncan C. McElfresh, Susana B. Martins, Suzanne R. Tamang
Evaluating accuracy and fairness of clinical decision support algorithms when health care resources are limited. J. Biomed. Informatics 156 (2024)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White
When Do Neural Nets Outperform Boosted Trees on Tabular Data? CoRR (2023)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White
When Do Neural Nets Outperform Boosted Trees on Tabular Data? NeurIPS (2023)
Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson
Matching algorithms for blood donation. Nat. Mac. Intell. 5 (10) (2023)
Duncan C. McElfresh, Lucia Chen, Elizabeth Oliva, Vilija Joyce, Sherri Rose, Suzanne Tamang
A call for better validation of opioid overdose risk algorithms. J. Am. Medical Informatics Assoc. 30 (10) (2023)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John P. Dickerson, Colin White
On the Generalizability and Predictability of Recommender Systems. CoRR (2022)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White
On the Generalizability and Predictability of Recommender Systems. NeurIPS (2022)
Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson
Matching Algorithms for Blood Donation. CoRR (2021)
Duncan C. McElfresh, John P. Dickerson, Ke Ren, Hoda Bidkhori
Distributionally Robust Cycle and Chain Packing With Application To Organ Exchange. WSC (2021)
Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh
Optimal Kidney Exchange with Immunosuppressants. CoRR (2021)
Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P. Dickerson
Indecision Modeling. AAAI (2021)
Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh
Optimal Kidney Exchange with Immunosuppressants. AAAI (2021)
Phebe Vayanos, Duncan C. McElfresh, Yingxiao Ye, John Paul Dickerson, Eric Rice
Active Preference Elicitation via Adjustable Robust Optimization. CoRR (2020)
Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
Human Comprehension of Fairness in Machine Learning. AIES (2020)
Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John Dickerson
Improving Policy-Constrained Kidney Exchange via Pre-Screening. NeurIPS (2020)
Hoda Bidkhori, John Dickerson, Duncan C. McElfresh, Ke Ren
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty. UAI (2020)
Hoda Bidkhori, John P. Dickerson, Duncan C. McElfresh, Ke Ren
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty. CoRR (2020)
Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics. ICML (2020)
Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
Human Comprehension of Fairness in Machine Learning. CoRR (2020)
Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P. Dickerson
Indecision Modeling. CoRR (2020)
Lok Chan, Kenzie Doyle, Duncan C. McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg, Walter Sinnott-Armstrong
Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making. AIES (2020)
Lok Chan, Kenzie Doyle, Duncan C. McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg, Walter Sinnott-Armstrong
Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making. CoRR (2020)
Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John P. Dickerson
Improving Policy-Constrained Kidney Exchange via Pre-Screening. CoRR (2020)
Duncan C. McElfresh, Samuel Dooley, Yuan Cui, Kendra Griesman, Weiqin Wang, Tyler Will, Neil Sehgal, John P. Dickerson
Can an Algorithm be My Healthcare Proxy? CoRR (2020)
Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson
Matching Algorithms for Blood Donation. EC (2020)
Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson
Scalable Robust Kidney Exchange. AAAI (2019)
Duncan C. McElfresh
A Framework for Technically- and Morally-Sound AI. AIES (2019)
Duncan C. McElfresh, John P. Dickerson
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange. AAAI Workshops (2018)
Duncan C. McElfresh, John P. Dickerson
Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange. AAAI (2018)
Duncan C. McElfresh, John P. Dickerson
Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange. AAAI (2018)
Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson
Scalable Robust Kidney Exchange. CoRR (2018)
Duncan C. McElfresh, John P. Dickerson
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange. CoRR (2017)
Jörg-Hendrik Bach, Arne-Freerk Meyer, Duncan C. McElfresh, Jörn Anemüller
Automatic classification of audio data using nonlinear neural response models. ICASSP (2012)