2019
DOI: 10.1007/978-3-030-23204-7_34
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Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings

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Cited by 4 publications
(1 citation statement)
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“…The survey form consisted of 12 questions divided into four main sections encompassing the perceived awareness, effectiveness, and importance of AI in finance management and the preferences regarding the application of AI in finance management and in education in the field of finance management. The survey considered the following AI tools: genetic algorithms (Sun et al, 2008), automatic programming, fuzzy logic (Klement & Slany, 1993), expert systems (DeCarlo & Rizk, 2010;Sanchez et al, 2016), neural networks (Jiang et al, 2018;Kardan et al, 2013;Kose & Arslan, 2016;Rau, Sen & Zhu, 2019), logical reasoning (Dai et al, 2019;Zhou, 2019), intelligent software agents.…”
Section: Methodsmentioning
confidence: 99%
“…The survey form consisted of 12 questions divided into four main sections encompassing the perceived awareness, effectiveness, and importance of AI in finance management and the preferences regarding the application of AI in finance management and in education in the field of finance management. The survey considered the following AI tools: genetic algorithms (Sun et al, 2008), automatic programming, fuzzy logic (Klement & Slany, 1993), expert systems (DeCarlo & Rizk, 2010;Sanchez et al, 2016), neural networks (Jiang et al, 2018;Kardan et al, 2013;Kose & Arslan, 2016;Rau, Sen & Zhu, 2019), logical reasoning (Dai et al, 2019;Zhou, 2019), intelligent software agents.…”
Section: Methodsmentioning
confidence: 99%