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Artificial intelligence in asset management

Bartram, Söhnke M.; Branke, Jürgen; Motahari, Mehrshad - 2020 - This revision 01 April 2020

Persistent link: https://www.econbiz.de/10012217351

Utilisation of deep learning (DL) and neural networks (NN) Algorithms for energy power generation : a social network and bibliometric analysis (2004-2022)

Zaidi, Abdelhamid - In: International Journal of Energy Economics and Policy : IJEEP 14 (2024) 1, pp. 172-183

Persistent link: https://www.econbiz.de/10014484263

Deep learning for time series forecasting and nowcasting

Ouwehand, Pim; Krieg, Sabine; Willems, Rob - 2024

Persistent link: https://www.econbiz.de/10015071392

Adaptive evolutionary neural networks for forecasting and trading without a data-snooping bias

Sermpinis, Georgios; Verousis, Thanos; Theofilatos, … - In: Journal of forecasting 35 (2016) 1, pp. 1-12

Persistent link: https://www.econbiz.de/10011417657

Modeling commodity value at risk with Psi Sigma neural networks using open-high-low-close data

Sermpinis, Georgios; Laws, Jason; Dunis, Christian - In: The European journal of finance 21 (2015) 4/6, pp. 316-336

Persistent link: https://www.econbiz.de/10010528195

A neural feature extraction model for classification of firms and prediction of outsourcing success : advantage of using relational sources of information for new suppliers

Medhi, Pankaj Kumar; Mondal, Sandeep - In: International journal of production research 54 (2016) 19/20, pp. 6071-6081

Persistent link: https://www.econbiz.de/10011543743

Predicting daily surgical volumes using probabilistic estimates of providers' future availability

Eun, Joonyup; Tiwari, Vikram; Sandberg, Warren S. - In: Decision sciences 53 (2022) 1, pp. 124-149

Persistent link: https://www.econbiz.de/10013164978

Systematic bibliometric review of artificial intelligence technology in organizational management, development, change and culture

Bilan, Svitlana; Šuleř, Petr; Skrynnyk, Olena; … - In: Verslas : teorija ir praktika : Vilniaus Gedimino … 23 (2022) 1, pp. 1-13

Even now, in the times of advanced digitization, the planning and implementation of many organizational measures remain human-driven. Corresponding to a global trend of application of artificial intelligence in all areas of life, it has received more attention in the last few years and garnered...

Persistent link: https://www.econbiz.de/10012938779

The global organizational behavior analysis for financial risk management utilizing Artificial Intelligence

Yang, Shufang; Wu, Hainan - In: Journal of global information management 30 (2022) 7, pp. 1-24

Persistent link: https://www.econbiz.de/10012800043

An improved BPNN algorithm based on deep learning technology to analyze the market risks of A+H shares

Wu, Yi; Zhu, Delong; Liu, Zijian; Li, Xin Li - In: Journal of global information management 30 (2022) 7, pp. 1-23

Persistent link: https://www.econbiz.de/10012800063