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AI algorithms, price discrimination and collusion : a technological, economic and legal perspective
Gautier, Axel; Ittoo, Ashwin; Cleynenbreugel, Pieter van - In: European journal of law and economics 50 (2020) 3, pp. 405-435
Persistent link: https://www.econbiz.de/10012416333
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Systematic analysis of artificial intelligence in the era of industry 4.0
Chen, Weiru; He, Wu; Shen, Jiayue; Tian, Xin; Wang, Xianping - In: Journal of management analytics 10 (2023) 1, pp. 89-108
Persistent link: https://www.econbiz.de/10014251234
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Evaluating interpretable machine learning predictions for cryptocurrencies
El Majzoub, Ahmad; Rabhi, Fethi A.; Hussain, Walayat - In: Intelligent systems in accounting, finance & management 30 (2023) 3, pp. 137-149
Persistent link: https://www.econbiz.de/10014375320
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Design of an Artificial Neural Network battery for an optimal recognition of patterns in financial time series
Fioribello, Simone; Giribone, Pier Giuseppe - In: International journal of financial engineering 5 (2018) 4, pp. 1-17
Persistent link: https://www.econbiz.de/10012028806
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Efficient counterfactual learning from bandit feedback
Narita, Yusuke; Yasui, Shota; Yata, Kohei - 2018
Persistent link: https://www.econbiz.de/10011948939
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A note on the interpretability of machine learning algorithms
Guégan, Dominique - 2020
Persistent link: https://www.econbiz.de/10012498600
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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
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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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Machine learning in business process monitoring : a comparison of deep learning and classical approaches used for outcome prediction
Kratsch, Wolfgang; Manderscheid, Jonas Hans; … - In: Business & information systems engineering 63 (2021) 3, pp. 261-276
Persistent link: https://www.econbiz.de/10012542845
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Predicting emergency medical service call demand : a modern spatiotemporal machine learning approach
Martin, R. Justin; Mousavi, Reza; Saydam, Cem - In: Operations research for health care 28 (2021), pp. 1-12
Persistent link: https://www.econbiz.de/10013443994