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Showing results 1 to 9 of 9

Issue DateTitle / Author(s) / CitationFileAltmetrics
2013-08
Computational Modeling Reveals Distinct Effects of HIV and History of Drug Use on Decision-Making Processes in Women
DOI
2014-08
Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure users
DOI
2016-01
Computational modeling for addiction medicine: From cognitive models to clinical applications

Ahn, Woo Young; Dai, Junyi; Vassileva, Jasmin; Busemeyer, Jerome R.; Stout, Julie C.

Progress in Brain Research, Vol.224, pp.53-65

DOI
2016-03
Utility of Machine-learning approaches to identify Behavioral Markers for substance Use Disorders: impulsivity Dimensions as Predictors of current cocaine Dependence
DOI
2016-04
Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence

Ahn, Woo-Young; Vassileva, Jasmin

Drug and Alcohol Dependence, Vol.161, pp.247-257

DOI
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
2020-01
A computational model of the Cambridge gambling task with applications to substance use disorders
DOI
2021-06
Development of a novel computational model for the Balloon Analogue Risk Task: The exponential-weight mean-variance model

Park, Harhim; Yang, Jaeyeong; Vassileva, Jasmin; Ahn, Woo-Young

Journal of Mathematical Psychology, Vol.102, p. 102532

DOI
2023-05
Utility of Computational Approaches for Precision Psychiatry: Applications to Substance Use Disorders
DOI
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