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Forecasting the Olympic medal distribution : a socioeconomic machine learning model
Schlembach, Christoph; Schmidt, Sascha Leonard; … - In: Technological forecasting & social change : an … 175 (2022), pp. 1-15
Persistent link: https://www.econbiz.de/10013332848
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Slow response times undermine trust in algorithmic (but not human) predictions
Efendić, Emir; Calseyde, Philippe P. F. M. van de; … - In: Organizational behavior and human decision processes : … 157 (2020), pp. 103-114
Persistent link: https://www.econbiz.de/10012253961
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Forecasting decline in ecosystem services under realistic scenarios of extinction
Duffy, J. Emmett; Srivastava, Diane S.; McLaren, Jennie; … - In: Biodiversity, ecosystem functioning, and human …, (pp. 60-77). 2009
Persistent link: https://www.econbiz.de/10003902892
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Flächennutzungsmonitoring VIII : Flächensparen - Ökosystemleistungen - Handlungsstrategien
Meinel, Gotthard (ed.); Förtsch, Daniela (ed.);  … - Dresdner Flächennutzungssymposium <8., 2016, Dresden>; … - 2016
Persistent link: https://www.econbiz.de/10011564106
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Exploring knowledge creation, capabilities, and relations in a distributed policy foresight system : case Finland
Pouru-Mikkola, Laura; Minkkinen, Matti; Malho, Maria; … - In: Technological forecasting & social change : an … 186PB (2023), pp. 1-14
Persistent link: https://www.econbiz.de/10014250797
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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