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Reliable Idiographic Parameters From Noisy Behavioral Data: The Case of Individual Differences in a Reinforcement Learning Task.

, and . CogSci, cognitivesciencesociety.org, (2020)

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Chapter Three - Three Open Problems in the Context of E2E Web Testing and a Vision: NEONATE., , and . Advances in Computers, (2019)Memory, Emotion, and Rationality: An ACT-R interpretation for Gambling Task results., and . ICCM, page 106-111. (2004)Introducing the BICA Society., , , and . BICA, volume 221 of Frontiers in Artificial Intelligence and Applications, page 191-192. IOS Press, (2010)Inferring a Cognitive Architecture from Multitask Neuroimaging Data: A Data-Driven Test of the Common Model of Cognition Using Granger Causality., , and . Top. Cogn. Sci., 14 (4): 845-859 (2022)Towards Anomaly Detectors that Learn Continuously., and . ISSRE Workshops, page 201-208. IEEE, (2020)Diversity-based web test generation., , , and . ESEC/SIGSOFT FSE, page 142-153. ACM, (2019)Meta-heuristic Generation of Robust XPath Locators for Web Testing., , , and . SBST@ICSE, page 36-39. IEEE Computer Society, (2015)Web Test Automation: Insights from the Grey Literature., and . SOFSEM, volume 12607 of Lecture Notes in Computer Science, page 472-485. Springer, (2021)Predicting Safety Misbehaviours in Autonomous Driving Systems Using Uncertainty Quantification., , and . ICST, page 70-81. IEEE, (2024)A Multi-Year Grey Literature Review on AI-assisted Test Automation., , and . CoRR, (2024)