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ORCIDDuncan C. McElfresh
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- affiliation: University of Maryland, College Park, MD, USA
- affiliation (former): Colorado School of Mines, CO, USA
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2020 – today
- 2024
[j3]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: 104664 (2024)- [i14]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 abs/2403.07911 (2024) - 2023
- [j2]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): 1741-1746 (2023) - [j1]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): 1108-1118 (2023) - [c17]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 - [i13]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 abs/2305.02997 (2023) - 2022
- [c16]Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White:
On the Generalizability and Predictability of Recommender Systems. NeurIPS 2022 - [i12]Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John P. Dickerson, Colin White:
On the Generalizability and Predictability of Recommender Systems. CoRR abs/2206.11886 (2022) - 2021
- [b1]Duncan C. McElfresh:
Practical Algorithms for Resource Allocation and Decision Making. University of Maryland, College Park, MD, USA, 2021 - [c15]Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh:
Optimal Kidney Exchange with Immunosuppressants. AAAI 2021: 21-29 - [c14]Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P. Dickerson:
Indecision Modeling. AAAI 2021: 5975-5983 - [c13]Duncan C. McElfresh, John P. Dickerson, Ke Ren, Hoda Bidkhori:
Distributionally Robust Cycle and Chain Packing With Application To Organ Exchange. WSC 2021: 1-12 - [i11]Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh:
Optimal Kidney Exchange with Immunosuppressants. CoRR abs/2103.02253 (2021) - [i10]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 abs/2108.04862 (2021) - 2020
- [c12]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: 152 - [c11]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: 214-220 - [c10]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: 8377-8387 - [c9]Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John Dickerson:
Improving Policy-Constrained Kidney Exchange via Pre-Screening. NeurIPS 2020 - [c8]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: 463-464 - [c7]Hoda Bidkhori, John Dickerson, Duncan C. McElfresh, Ke Ren:
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty. UAI 2020: 161-170 - [i9]Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz:
Human Comprehension of Fairness in Machine Learning. CoRR abs/2001.00089 (2020) - [i8]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 abs/2001.09742 (2020) - [i7]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 abs/2001.09766 (2020) - [i6]Phebe Vayanos, Duncan C. McElfresh, Yingxiao Ye, John Paul Dickerson, Eric Rice:
Active Preference Elicitation via Adjustable Robust Optimization. CoRR abs/2003.01899 (2020) - [i5]Hoda Bidkhori, John P. Dickerson, Duncan C. McElfresh, Ke Ren:
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty. CoRR abs/2007.03191 (2020) - [i4]Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John P. Dickerson:
Improving Policy-Constrained Kidney Exchange via Pre-Screening. CoRR abs/2010.12069 (2020) - [i3]Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P. Dickerson:
Indecision Modeling. CoRR abs/2012.08485 (2020)
2010 – 2019
- 2019
- [c6]Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson:
Scalable Robust Kidney Exchange. AAAI 2019: 1077-1084 - [c5]Duncan C. McElfresh:
A Framework for Technically- and Morally-Sound AI. AIES 2019: 549-550 - 2018
- [c4]Duncan C. McElfresh, John P. Dickerson:
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange. AAAI Workshops 2018: 487-494 - [c3]Duncan C. McElfresh, John P. Dickerson:
Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange. AAAI 2018: 1161-1168 - [c2]Duncan C. McElfresh, John P. Dickerson:
Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange. AAAI 2018: 8119-8120 - [i2]Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson:
Scalable Robust Kidney Exchange. CoRR abs/1811.03532 (2018) - 2017
- [i1]Duncan C. McElfresh, John P. Dickerson:
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange. CoRR abs/1702.08286 (2017) - 2012
- [c1]Jörg-Hendrik Bach, Arne-Freerk Meyer, Duncan C. McElfresh, Jörn Anemüller:
Automatic classification of audio data using nonlinear neural response models. ICASSP 2012: 357-360
Coauthor Index
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