Alisa Kim

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2020202120222023202419 67 86 110 40

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Stefan LessmannProfessor of Information Systems, Humboldt-University of BerlinEmail verificata su hu-berlin.de
Yaodong YangBOYA (博雅) Assistant Professor at Peking UniversityEmail verificata su pku.edu.cn
Wolfgang Karl HärdleHumboldt-Universität zu Berlin, Ladislaus von Bortkiewicz Professor of StatisticsEmail verificata su hu-berlin.de
Simon TrimbornAssistant Professor, Amsterdam School of Economics, University of AmsterdamEmail verificata su uva.nl

Alisa Kim

Email verificata su hu-berlin.de


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Deep learning for detecting financial statement fraud P Craja, A Kim, S Lessmann Decision Support Systems 139, 113421, 2020	162	2020
Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting A Kim, Y Yang, S Lessman, T Ma, MC Sung, JEV Johnson European Journal of Operational Research, 2019	101	2019
VCRIX-A Volatility Index for Crypto-Currencies A Kim, S Trimborn, WK Härdle Available at SSRN 3480348, 2019	57	2019
Quantification of Economic Uncertainty: a deep learning approach N Gillmann, A Kim Kiel, Hamburg: ZBW-Leibniz Information Centre for Economics, 2021	5	2021
Deep Learning application for fraud detection in financial statements P Craja, A Kim, S Lessmann IRTG 1792 Discussion Paper, 2020	3	2020
Deep Learning for Uncertainty Measurement A Kim Humboldt-Universität zu Berlin, 2021	2	2021
Explainable clustering applied to the definition of terrestrial biomes MR Sidoumou, A Kim, J Walton, DI Kelley, RJ Parker, R Swaminathan		2022

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