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Jaelle Scheuerman
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Journal Articles
- 2023
- [j3]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) - [j2]Zachary Bishof, Jaelle Scheuerman, Chris J. Michael:
Closed-Loop Uncertainty: The Evaluation and Calibration of Uncertainty for Human-Machine Teams under Data Drift. Entropy 25(10): 1443 (2023) - 2020
- [j1]Viktor Matkovic, Jaelle Scheuerman, Madeleine Steeds, Sarah Turner, Sarah Clinch:
Attending Doctoral Events - Experiences and Lessons. IEEE Pervasive Comput. 19(4): 29-34 (2020)
Conference and Workshop Papers
- 2024
- [c10]Jaelle Scheuerman, Dina M. Acklin:
A Framework for Enhancing Behavioral Science Research with Human-Guided Language Models. AAAI Spring Symposia 2024: 243-247 - 2021
- [c9]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Modeling Voters in Multi-Winner Approval Voting. AAAI 2021: 5709-5716 - 2020
- [c8]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Heuristic Strategies in Uncertain Approval Voting Environments. AAMAS 2020: 1993-1995 - [c7]Jaelle Scheuerman:
Computational Methods for Simulating Biased Agents. AAMAS 2020: 2209-2210 - 2018
- [c6]Jaelle Scheuerman, Kristen Brent Venable, Maxwell T. Anderson, Edward J. Golob:
Modeling spatial auditory attention in ACT-R: a constraint-based approach. BICA 2018: 797-804 - [c5]Jaelle Scheuerman, Maxwell T. Anderson, Kristen Brent Venable, Edward J. Golob:
Computational Model of Spatial Auditory Attention in ACT-R. CogSci 2018 - 2017
- [c4]Edward J. Golob, Kristen Brent Venable, Jaelle Scheuerman, Maxwell T. Anderson:
Computational modeling of auditory spatial attention. CogSci 2017 - [c3]Jaelle Scheuerman, Kristen Brent Venable, Maxwell T. Anderson, Edward J. Golob:
Modeling Spatial Auditory Attention: Handling Equiprobable Attended Locations. CAID@IJCAI 2017: 1-7 - [c2]Jaelle Scheuerman, Dina M. Acklin:
Modeling Bias Reduction Strategies in a Biased Agent. IJCAI 2017: 5205-5206 - 2016
- [c1]Edward J. Golob, Kristen Brent Venable, Maxwell T. Anderson, Jesse A. Benzell, Jaelle Scheuerman:
Modelling Auditory Spatial Attention with Constraints. AIC 2016: 59-72
Parts in Books or Collections
- 2021
- [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
Informal and Other Publications
- 2024
- [i5]Jason L. Harman, Jaelle Scheuerman:
Multi-Criteria Comparison as a Method of Advancing Knowledge-Guided Machine Learning. CoRR abs/2403.11840 (2024) - 2020
- [i4]Chris J. Michael, Dina M. Acklin, Jaelle Scheuerman:
On Interactive Machine Learning and the Potential of Cognitive Feedback. CoRR abs/2003.10365 (2020) - [i3]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Modeling Voters in Multi-Winner Approval Voting. CoRR abs/2012.02811 (2020) - 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)
Coauthor Index
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