Jason L. Harman

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 8

Top Topics

Selection Strategies

Recommender Systems

Top Venues

Publications

Jason L. Harman, Jaelle Scheuerman
Multi-Criteria Comparison as a Method of Advancing Knowledge-Guided Machine Learning. CoRR (2024)
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)
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable
Modeling Voters in Multi-Winner Approval Voting. AAAI (2021)
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable
Heuristic Strategies in Uncertain Approval Voting Environments. AAMAS (2020)
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable
Modeling Voters in Multi-Winner Approval Voting. CoRR (2020)
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable
Heuristics in Multi-Winner Approval Voting. CoRR (2019)
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable
Heuristic Strategies in Uncertain Approval Voting Environments. CoRR (2019)
Samuel Cheyette, Emmanouil Konstantinidis, Jason L. Harman, Cleotilde Gonzalez
Choice adaptation to increasing and decreasing event probabilities. CogSci (2016)
Jason L. Harman, John O'Donovan, Tarek F. Abdelzaher, Cleotilde Gonzalez
Dynamics of human trust in recommender systems. RecSys (2014)
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)