Jaelle Scheuerman

21 papers A* 2A 2B 2Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Adapting Language Model Responses with Implicit Feedback for Effective Human-AI Collaboration. AAAI Spring Symposia Jaelle Scheuerman, Shannon McGarry, Ciara Sibley, Noelle Brown
2025	J	`jnl`	Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind. CoRR Mouad Abrini, Omri Abend, Dina M. Acklin, Henny Admoni, Gregor Aichinger, Nitay Alon, Zahra Ashktorab, Ashish Atreja, Moises Auron, Alexander Aufreiter, Raghav Awasthi, Soumya Banerjee, Joseph M. Barnby, Rhea Basappa, Severin Bergsmann, Djallel Bouneffouf, Patrick Callaghan, Marc Cavazza, Thierry Chaminade, Sonia Chernova, Mohamed Chetouani, Moumita Choudhury, Axel Cleeremans, Jacek B. Cywinski, Fabio Cuzzolin, Hokin Deng, N'yoma Diamond, Camilla Di Pasquasio, Guillaume Dumas, Max J. van Duijn, Mahapatra Dwarikanath, Qingying Gao, Ashok K. Goel, Rebecca Goldstein, Matthew C. Gombolay, Gabriel Enrique Gonzalez, Amar Halilovic, Tobias Halmdienst, Mahimul Islam, Julian Jara-Ettinger, Natalie Kastel, Renana Keydar, Ashish K. Khanna, Mahdi Khoramshahi, Jihyun Kim, MiHyeon Kim, YoungBin Kim, Senka Krivic, Nikita Krasnytskyi, Arun Kumar, JuneHyoung Kwon, Eunju Lee, Shane Lee, Peter R. Lewis, Xue Li, Yijiang Li, Michal Lewandowski, Nathan Lloyd, Matthew B. Luebbers, Dezhi Luo, Haiyun Lyu, Dwarikanath Mahapatra, Kamal Maheshwari, Mallika Mainali, Piyush Mathur, Patrick Mederitsch, Shuwa Miura, Manuel Preston de Miranda, Reuth Mirsky, Shreya Mishra, Nina Moorman, Katelyn Morrison, John Muchovej, Bernhard Nessler, Felix Nessler, Hieu Minh Jord Nguyen, Abby Ortego, Francis A. Papay, Antoine Pasquali, Hamed Rahimi, Charumathi Raghu, Amanda L. Royka, Stefan Sarkadi, Jaelle Scheuerman, Simon Schmid, Paul Schrater, Anik Sen, Zahra Sheikhbahaee, Ke Shi, Reid G. Simmons, Nishant Singh, Mason O. Smith, Ramira van der Meulen, Anthia Solaki, Haoran Sun, Viktor Szolga, Matthew E. Taylor, Travis Taylor, Sanne van Waveren, Juan David Vargas
2024	—	`conf`	A Framework for Enhancing Behavioral Science Research with Human-Guided Language Models. AAAI Spring Symposia Jaelle Scheuerman, Dina M. Acklin
2024	J	`jnl`	Multi-Criteria Comparison as a Method of Advancing Knowledge-Guided Machine Learning. CoRR Jason L. Harman, Jaelle Scheuerman
2023	J	`jnl`	Closed-Loop Uncertainty: The Evaluation and Calibration of Uncertainty for Human-Machine Teams under Data Drift. Entropy Zachary Bishof, Jaelle Scheuerman, Chris J. Michael
2023	J	`jnl`	Simple rules outperform machine learning for personnel selection: insights from the 3rd annual SIOP machine learning competition. Discov. Artif. Intell. Jason L. Harman, Jaelle Scheuerman
2021	—	`ch.`	Designing Interactive Machine Learning Systems for GIS Applications. Engineering Artificially Intelligent Systems Jaelle Scheuerman, Chris J. Michael, Brad Landreneau, Dina M. Acklin, Jason L. Harman
2021	A*	`conf`	Modeling Voters in Multi-Winner Approval Voting. AAAI Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable
2020	J	`jnl`	Attending Doctoral Events - Experiences and Lessons. IEEE Pervasive Comput. Viktor Matkovic, Jaelle Scheuerman, Madeleine Steeds, Sarah Turner, Sarah Clinch
2020	A	`conf`	Computational Methods for Simulating Biased Agents. AAMAS Jaelle Scheuerman
2020	A	`conf`	Heuristic Strategies in Uncertain Approval Voting Environments. AAMAS Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable
2020	J	`jnl`	Modeling Voters in Multi-Winner Approval Voting. CoRR Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable
2020	J	`jnl`	On Interactive Machine Learning and the Potential of Cognitive Feedback. CoRR Chris J. Michael, Dina M. Acklin, Jaelle Scheuerman
2019	J	`jnl`	Heuristic Strategies in Uncertain Approval Voting Environments. CoRR Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable
2019	J	`jnl`	Heuristics in Multi-Winner Approval Voting. CoRR Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable
2018	B	`conf`	Computational Model of Spatial Auditory Attention in ACT-R. CogSci Jaelle Scheuerman, Maxwell T. Anderson, K. Brent Venable, Edward J. Golob
2018	—	`conf`	Modeling spatial auditory attention in ACT-R: a constraint-based approach. BICA Jaelle Scheuerman, K. Brent Venable, Maxwell T. Anderson, Edward J. Golob
2017	B	`conf`	Computational modeling of auditory spatial attention. CogSci Edward J. Golob, K. Brent Venable, Jaelle Scheuerman, Maxwell T. Anderson
2017	A*	`conf`	Modeling Bias Reduction Strategies in a Biased Agent. IJCAI Jaelle Scheuerman, Dina M. Acklin
2017	—	`conf`	Modeling Spatial Auditory Attention: Handling Equiprobable Attended Locations. CAID@IJCAI Jaelle Scheuerman, K. Brent Venable, Maxwell T. Anderson, Edward J. Golob
2016	—	`conf`	Modelling Auditory Spatial Attention with Constraints. AIC Edward J. Golob, K. Brent Venable, Maxwell T. Anderson, Jesse A. Benzell, Jaelle Scheuerman