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Alleviating class imbalance in actuarial applications using generative adversarial networks

Ngwenduna, Kwanda Sydwell; Mbuvha, Rendani - In: Risks 9 (2021) 3, pp. 1-33

data. In this work, we show how an implicit model using the Generative Adversarial Network (GAN) can alleviate these …

Persistent link: https://www.econbiz.de/10013200718

Kommunikation zum Stichtag des Zensus 2022

Grünberger, Isabella; Schacht, Alexander; Tornow, Tobias - In: WISTA – Wirtschaft und Statistik 75 (2023) 5, pp. 47-57

Mit der zunehmenden gesellschaftlichen Digitalisierung rückt beim Statistischen Bun- desamt eine verstärkt digitale und zielgruppengerechte Kommunikation in den Fokus, auch beim Großprojekt Zensus 2022. Für die identifizierten Zielgruppen wurde eine umfassende Kommunikation im Digitalen,...

Persistent link: https://www.econbiz.de/10014421162

Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels Elektrolumineszenz...

Zschech, Patrick; Sager, Christoph; Siebers, Philipp; … - In: HMD Praxis der Wirtschaftsinformatik 58 (2020) 2, pp. 321-342

Die Qualitätssicherung bei der Produktion von Solarzellen ist ein entscheidender Faktor, um langfristige Leistungsgarantien auf Solarpanels gewähren zu können. Die vorliegende Arbeit leistet hierzu einen Beitrag zur automatisierten Fehlererkennung auf Wafern, indem Elektrolumineszenz-Bilder...

Persistent link: https://www.econbiz.de/10014503885

Kontrolle oder Entwicklung? Der Beitrag einer neuen Weltinformationsordnung zum Frieden

Zürn, Michael - In: Der Überblick: Zeitschrift für ökumenische Begegnung … 22 (1986) 4, pp. 5-9

Persistent link: https://www.econbiz.de/10011387221

Manipulation and propaganda in the Russian media: The case of the Vriemia news programme (2017-2019)

Llanos-Antczak, Anna; Śliwa, Zdzisław - In: Contemporary Economics 15 (2021) 4, pp. 511-523

significant role in spreading propaganda to shape the perception of the realm by domestic and foreign audiences alike. The authors …-based propaganda type of information to manipulate the recipients. The research revealed that, although the Russian media strongly … influences the study group, the respondents recognize the utilization of propaganda, which is founded on a one-sided narrative …

Persistent link: https://www.econbiz.de/10014544592

Why It Matters What Autocrats Say: Assessing Competing Theories of Propaganda

Boussalis, Constantine; Dukalskis, Alexander; … - In: Problems of Post-Communism 70 (2022) 3, pp. 241-252

This article investigates two accounts of political propaganda in autocratic regimes. One argues that propaganda …’s content does not matter substantively and that propaganda is mostly a signal of the regime’s overwhelming power over citizens …. A second argues that propaganda is substantively meaningful: autocrats may communicate strategically either by …

Persistent link: https://www.econbiz.de/10014576397

Credit risk analysis using machine and deep learning models

Addo, Peter Martey; Guegan, Dominique; Hassani, Bertrand - In: Risks 6 (2018) 2, pp. 1-20

Due to the advanced technology associated with Big Data, data availability and computing power, most banks or lending institutions are renewing their business models. Credit risk predictions, monitoring, model reliability and effective loan processing are key to decision-making and transparency....

Persistent link: https://www.econbiz.de/10011996596

Personalised need of care in an ageing society: The making of a prediction tool based on register data

Wright, Marvin N.; Kusumastuti, Sasmita; Mortensen, Laust H. - In: Journal of the Royal Statistical Society: Series A … 184 (2021) 4, pp. 1199-1219

Danish municipalities monitor older persons who are at high risk of declining health and would later need home care services. However, there is no established strategy yet on how to accurately identify those who are at high risk. Therefore, there is great potential to optimise the...

Persistent link: https://www.econbiz.de/10012509535

A deep learning integrated Lee-Carter model

Nigri, Andrea; Levantesi, Susanna; Marino, Mario; … - In: Risks 7 (2019) 1, pp. 1-16

In the field of mortality, the Lee-Carter based approach can be considered the milestone to forecast mortality rates among stochastic models. We could define a 'Lee-Carter model family' that embraces all developments of this model, including its first formulation (1992) that remains the...

Persistent link: https://www.econbiz.de/10013200451

Deep arbitrage-free learning in a generalized HJM framework via arbitrage-regularization

Kratsios, Anastasis; Hyndman, Cody - In: Risks 8 (2020) 2, pp. 1-30

A regularization approach to model selection, within a generalized HJM framework, is introduced, which learns the closest arbitrage-free model to a prespecified factor model. This optimization problem is represented as the limit of a one-parameter family of computationally tractable penalized...

Persistent link: https://www.econbiz.de/10013200575