[1]
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Thuy Ngoc Nguyen and Cleotilde Gonzalez.
Minimap: an interactive dynamic decision making game for search and
rescue missions.
Behavior Research Methods, 56(3):2311--2332, 2024.
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[2]
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Thuy Ngoc Nguyen, Duy Nhat Phan, and Cleotilde Gonzalez.
Learning in cooperative multiagent systems using cognitive and
machine models.
ACM Transactions on Autonomous and Adaptive Systems,
18(4):1--22, 2023.
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[3]
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Thuy Ngoc Nguyen, Duy Nhat Phan, and Cleotilde Gonzalez.
Speedyibl: A comprehensive, precise, and fast implementation of
instance-based learning theory.
Behavior Research Methods, 55(4):1734--1757, 2023.
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[4]
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Pranav Gupta, Thuy Ngoc Nguyen, Cleotilde Gonzalez, and Anita Williams Woolley.
Fostering collective intelligence in human--ai collaboration: laying
the groundwork for cohumain.
Topics in Cognitive Science, 2023.
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[5]
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Michelle Zhao, Fade R Eadeh, Thuy-Ngoc Nguyen, Pranav Gupta, Henny Admoni,
Cleotilde Gonzalez, and Anita Williams Woolley.
Teaching agents to understand teamwork: Evaluating and predicting
collective intelligence as a latent variable via hidden markov models.
Computers in Human Behavior, 139:107524, 2023.
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[6]
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Thuy Ngoc Nguyen and Cleotilde Gonzalez.
Theory of mind from observation in cognitive models and humans.
Topics in Cognitive Science, 2021.
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[7]
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Duy Nhat Phan and Thuy Ngoc Nguyen.
An accelerated irnn-iteratively reweighted nuclear norm algorithm for
nonconvex nonsmooth low-rank minimization problems.
Journal of Computational and Applied Mathematics, 396:113602,
2021.
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[8]
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Thuy Ngoc Nguyen, Francesco Ricci, Amra Delic, and Derek Bridge.
Conflict resolution in group decision making: insights from a
simulation study.
User Modeling and User-Adapted Interaction, 29:895--941, 2019.
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[9]
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Thuy Ngoc Nguyen and Francesco Ricci.
A chat-based group recommender system for tourism.
Information Technology & Tourism, 18:5--28, 2018.
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[10]
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Amra Delic, Julia Neidhardt, Thuy Ngoc Nguyen, and Francesco Ricci.
An observational user study for group recommender systems in the
tourism domain.
Information Technology & Tourism, 19:87--116, 2018.
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[1]
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Thuy Ngoc Nguyen, Chase McDonald, and Cleotilde Gonzalez.
Temporal credit assignment in instance-based learning models.
Proceedings of the AAAI 2024 Spring Symposium Series,
3(1):54--57, 2024.
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[2]
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Chase McDonald, Tyler Malloy, Thuy Ngoc Nguyen, and Cleotilde Gonzalez.
Exploring the path from instructions to rewards with large language
models in instance-based learning.
In Proceedings of the AAAI Symposium Series, volume 2, pages
334--339, 2023.
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[3]
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Chase McDonald, Thuy Ngoc Nguyen, Carlos Botelho, Christopher Dishop,
Anita Williams Woolley, and Cleotilde Gonzalez.
Working harder but not smarter: Experimental results on the effects
of collective intelligence awareness.
2023.
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[4]
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Aditya Gulati, Thuy Ngoc Nguyen, and Cleotilde Gonzalez.
Task complexity and performance in individuals and groups without
communication.
In AAAI Fall Symposium, pages 102--117. Springer, 2021.
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[5]
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Thuy Ngoc Nguyen and Cleotilde Gonzalez.
Cognitive machine theory of mind.
In CogSci, 2020.
|
[6]
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Thuy Ngoc Nguyen and Cleotilde Gonzalez.
Effects of decision complexity in goal-seeking gridworlds: A
comparison of instance-based learning and reinforcement learning agents.
In Proceedings of the 18th intl. conf. on cognitive modelling,
2020.
|
[7]
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Thuy Ngoc Nguyen and Francesco Ricci.
Situation-dependent combination of long-term and session-based
preferences in group recommendations: an experimental analysis.
In Proceedings of the 33rd Annual ACM Symposium on Applied
Computing, pages 1366--1373, 2018.
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[8]
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Thuy Ngoc Nguyen.
Conversational group recommender systems.
In Proceedings of the 25th Conference on User Modeling,
Adaptation and Personalization, pages 331--334, 2017.
|
[9]
|
Thuy Ngoc Nguyen and Francesco Ricci.
Combining long-term and discussion-generated preferences in group
recommendations.
In Proceedings of the 25th Conference on User Modeling,
Adaptation and Personalization, pages 377--378, 2017.
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[10]
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Amra Delic, Julia Neidhardt, Thuy Ngoc Nguyen, Francesco Ricci, Laurens Rook,
Hannes Werthner, and Markus Zanker.
Observing group decision making processes.
In Proceedings of the 10th ACM conference on recommender
systems, pages 147--150, 2016.
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