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2020 – today
- 2024
[i4]Jason L. Harman, Jaelle Scheuerman:
Multi-Criteria Comparison as a Method of Advancing Knowledge-Guided Machine Learning. CoRR abs/2403.11840 (2024)- 2023
- [j1]Jason L. Harman
, Jaelle Scheuerman:
Simple rules outperform machine learning for personnel selection: insights from the 3rd annual SIOP machine learning competition. Discov. Artif. Intell. 3(1) (2023) - 2021
- [c5]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Modeling Voters in Multi-Winner Approval Voting. AAAI 2021: 5709-5716 - [p1]Jaelle Scheuerman, Chris J. Michael, Brad Landreneau, Dina M. Acklin, Jason L. Harman:
Designing Interactive Machine Learning Systems for GIS Applications. Engineering Artificially Intelligent Systems 2021: 147-158 - 2020
- [c4]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Heuristic Strategies in Uncertain Approval Voting Environments. AAMAS 2020: 1993-1995 - [i3]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Modeling Voters in Multi-Winner Approval Voting. CoRR abs/2012.02811 (2020)
2010 – 2019
- 2019
- [i2]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Heuristics in Multi-Winner Approval Voting. CoRR abs/1905.12104 (2019) - [i1]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Heuristic Strategies in Uncertain Approval Voting Environments. CoRR abs/1912.00011 (2019) - 2016
- [c3]Samuel J. Cheyette, Emmanouil Konstantinidis, Jason L. Harman, Cleotilde Gonzalez:
Choice adaptation to increasing and decreasing event probabilities. CogSci 2016 - 2014
- [c2]James Schaffer, Tarek F. Abdelzaher, Debra Jones, Tobias Höllerer, Cleotilde Gonzalez, Jason L. Harman, John O'Donovan:
Truth, lies, and data: Credibility representation in data analysis. CogSIMA 2014: 28-34 - [c1]Jason L. Harman, John O'Donovan, Tarek F. Abdelzaher, Cleotilde Gonzalez:
Dynamics of human trust in recommender systems. RecSys 2014: 305-308
Coauthor Index
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