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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 stability, and the development of the artificial intelligence industry. To provide investors with a more reliable reference in terms of artificial intelligence index investment,...
Persistent link: https://www.econbiz.de/10014289091
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A nearest neighbour extension to project duration forecasting with Artificial Intelligence
Wauters, Mathieu; Vanhoucke, Mario - In: European journal of operational research : EJOR 259 (2017) 3, pp. 1097-1111
Persistent link: https://www.econbiz.de/10011695542
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Robots and analyst forecast precision : evidence from Chinese manufacturing
Cui, Huijie; Liang, Shangkun; Xu, Canyu; Yu, Junli - In: International review of financial analysis 94 (2024), pp. 1-14
Persistent link: https://www.econbiz.de/10014543954
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Validating the contribution-weighted model : robustness and cost-benefit analyses
Chen, Eva; Budescu, David V.; Lakshmikanth, Shrinidhi K.; … - In: Decision analysis : a journal of the Institute for … 13 (2016) 2, pp. 128-152
Persistent link: https://www.econbiz.de/10011503760
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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
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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
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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
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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
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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
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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