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Showing results 1 to 5 of 5

Issue Date	Title / Author(s) / Citation	File
2018-11	The outcome‐representation learning model: a novel reinforcement learning model of the iowa gambling task Haines, Nathaniel; Vassileva, Jasmin; Ahn, Woo-Young Cognitive Science, Vol.42 No.8, pp.2534-2561	DOI
2019-02	Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity Haines, Nathaniel; Southward, Matthew W.; Cheavens, Jennifer S.; Beauchaine, Theodore; Ahn, Woo-Young PLoS ONE, Vol.14 No.2, p. e0211735	DOI
2019-10	Delay Discounting of Protected Sex: Relationship Type and Sexual Orientation Influence Sexual Risk Behavior Hahn, Hunter; Kalnitsky, Samuel; Haines, Nathaniel; Thamotharan, Sneha; Beauchaine, Theodore P.; Ahn, Woo-Young Archives of Sexual Behavior, Vol.48 No.7, pp.2089-2102	DOI
2020-07	Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm Ahn, Woo-Young; Gu, Hairong; Shen, Yitong; Haines, Nathaniel; Hahn, Hunter A.; Teater, Julie E.; Myung, Jay I.; Pitt, Mark A. Scientific Reports, Vol.10 No.1, p. 12091	DOI
2020-11	Anxiety Modulates Preference for Immediate Rewards Among Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis Haines, Nathaniel; Beauchaine, Theodore P.; Galdo, Matthew; Rogers, Andrew H.; Hahn, Hunter; Pitt, Mark A.; Myung, Jay I.; Turner, Brandon M.; Ahn, Woo-Young Clinical Psychological Science, Vol.8 No.6, pp.1017-1036	DOI