Jaelle Scheuerman

According to our database, Jaelle Scheuerman authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Criteria Comparison as a Method of Advancing Knowledge-Guided Machine Learning.

Jason L. Harman, Jaelle Scheuerman

CoRR, 2024

2023

Closed-Loop Uncertainty: The Evaluation and Calibration of Uncertainty for Human-Machine Teams under Data Drift.

Zachary Bishof, Jaelle Scheuerman, Chris J. Michael

Entropy, October, 2023

Simple rules outperform machine learning for personnel selection: insights from the 3rd annual SIOP machine learning competition.

Jason L. Harman, Jaelle Scheuerman

Discov. Artif. Intell., 2023

2021

Designing Interactive Machine Learning Systems for GIS Applications.

Jaelle Scheuerman, Chris J. Michael, Brad Landreneau, Dina M. Acklin, Jason L. Harman

Proceedings of the Engineering Artificially Intelligent Systems, 2021

Modeling Voters in Multi-Winner Approval Voting.

Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable

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

2020

Attending Doctoral Events - Experiences and Lessons.

Viktor Matkovic, Jaelle Scheuerman, Madeleine Steeds, Sarah Turner, Sarah Clinch

IEEE Pervasive Comput., 2020

On Interactive Machine Learning and the Potential of Cognitive Feedback.

Chris J. Michael, Dina M. Acklin, Jaelle Scheuerman

CoRR, 2020

Heuristic Strategies in Uncertain Approval Voting Environments.

Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Computational Methods for Simulating Biased Agents.

Jaelle Scheuerman

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Heuristics in Multi-Winner Approval Voting.

Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable

CoRR, 2019

2018

Computational Model of Spatial Auditory Attention in ACT-R.

Jaelle Scheuerman, Maxwell T. Anderson, Kristen Brent Venable, Edward J. Golob

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Modeling spatial auditory attention in ACT-R: a constraint-based approach.

Jaelle Scheuerman, Kristen Brent Venable, Maxwell T. Anderson, Edward J. Golob

Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

2017

Modeling Spatial Auditory Attention: Handling Equiprobable Attended Locations.

Jaelle Scheuerman, Kristen Brent Venable, Maxwell T. Anderson, Edward J. Golob

Proceedings of the 1st International Workshop on Cognition and Artificial Intelligence for Human-Centred Design 2017 co-located with IJCAI 2017, 2017

Modeling Bias Reduction Strategies in a Biased Agent.

Jaelle Scheuerman, Dina M. Acklin

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Computational modeling of auditory spatial attention.

Edward J. Golob, Kristen Brent Venable, Jaelle Scheuerman, Maxwell T. Anderson

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Modelling Auditory Spatial Attention with Constraints.

Edward J. Golob, Kristen Brent Venable, Maxwell T. Anderson, Jesse A. Benzell, Jaelle Scheuerman

Proceedings of the 4th International Workshop on Artificial Intelligence and Cognition co-located with the Joint Multi-Conference on Human-Level Artificial Intelligence (HLAI 2016), 2016