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A new hybrid method with data-characteristic-driven analysis for artificial intelligence and robotics index return forecasting

Zhang, Yue-jun; Zhang, Han; Gupta, Rangan - In: Financial innovation : FIN 9 (2023) 1, pp. 1-23

Forecasting returns for the Artificial Intelligence and Robotics Index is of great significance for financial market … terms of artificial intelligence index investment, this paper selects the NASDAQ CTA Artificial Intelligence and Robotics …

Persistent link: https://www.econbiz.de/10014289091

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

Risks of observable and unobservable biases in artificial intelligence predicting consumer choice

Teleaba, Florian; Popescu, Sorin; Olaru, Marieta; … - In: Amfiteatru economic : an economic and business research … 23 (2021) 56, pp. 102-119

Companies are increasingly adopting Artificial Intelligence (AI) today. Recently however debates started over the risk of human cognitive biases being replicated (and scaled) by AI. Research on biases in AI predicting consumer choice is incipient and focuses on observable biases. We provide a...

Persistent link: https://www.econbiz.de/10012821258

Digitizing grocery retailing : the role of emerging technologies in the value chain

Weyer, Julia; Tiberius, Victor; Bican, Peter; Kraus, Sascha - In: International journal of innovation and technology … 17 (2020) 8, pp. 2050058-1-2050058-15

Persistent link: https://www.econbiz.de/10012547427

Neighbouring prediction for mortality

Wang, Chou-Wen; Zhang, Jinggong; Zhu, Wenjun - In: ASTIN bulletin : the journal of the International … 51 (2021) 3, pp. 689-718

Persistent link: https://www.econbiz.de/10012656717

On the stability of machine learning models : measuring model and outcome variance

Dhar, Vasant; Yu, Haoyuan - In: Journal of investment management : JOIM 18 (2020) 2, pp. 9-22

Persistent link: https://www.econbiz.de/10012588870

Explainable artificial intelligence : interpreting default forecasting models based on machine learning

Cascarino, Giuseppe; Moscatelli, Mirko; Parlapiano, Fabio - 2022

Persistent link: https://www.econbiz.de/10013254211

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