Duncan C. McElfresh

Orcid: 0000-0002-9176-5441

Affiliations:
  • University of Maryland, College Park, MD, USA
  • Colorado School of Mines, CO, USA (former)


According to our database1, Duncan C. McElfresh authored at least 19 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Matching algorithms for blood donation.
Nat. Mac. Intell., October, 2023

A call for better validation of opioid overdose risk algorithms.
J. Am. Medical Informatics Assoc., September, 2023

When Do Neural Nets Outperform Boosted Trees on Tabular Data?
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.
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.
PhD thesis, 2021

Distributionally Robust Cycle and Chain Packing With Application To Organ Exchange.
Proceedings of the Winter Simulation Conference, 2021

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

Optimal Kidney Exchange with Immunosuppressants.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Active Preference Elicitation via Adjustable Robust Optimization.
CoRR, 2020

Can an Algorithm be My Healthcare Proxy?
CoRR, 2020

Kidney Exchange with Inhomogeneous Edge Existence Uncertainty.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Improving Policy-Constrained Kidney Exchange via Pre-Screening.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

Human Comprehension of Fairness in Machine Learning.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
A Framework for Technically- and Morally-Sound AI.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Scalable Robust Kidney Exchange.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange.
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.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012


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