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Improving learning experience and privacy in education using the power of Big Data and Artificial Intelligence
Butt, Usman Javed; Davelis, Aristeidis; Abbod, Maysam; … - In: Integrated Business Models in the Digital Age : …, (pp. 371-424). 2022
Persistent link: https://www.econbiz.de/10013282652
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Exploiting social media with higher-order factorization machines: statistical arbitrage on high-frequency data of the S&P 500
Knoll, Julian; Stübinger, Johannes; Grottke, Michael - In: Higher-order factorization machines : implementation, …, (pp. 69-104). 2017
Persistent link: https://www.econbiz.de/10011901662
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Exploiting social media with higher-order factorization machines: statistical arbitrage on high-frequency data of the S&P 500
Knoll, Julian; Stübinger, Johannes; Grottke, Michael - In: Essays on quantitative finance in the context of …, (pp. 203-236). 2018
Persistent link: https://www.econbiz.de/10011901819
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Fairness in machine learning and econometrics
Centorrino, Samuele; Florens, Jean-Pierre; Loubes, … - In: Econometrics with Machine Learning, (pp. 217-250). 2022
Persistent link: https://www.econbiz.de/10013447857
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Artificial intelligence for financial services
Kaswan, Kuldeep Singh; Dhatterwal, Jagjit Singh; Kumar, … - In: Contemporary studies of risks in emerging technology, (pp. 71-92). 2023
Persistent link: https://www.econbiz.de/10014327528
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Machine learning in agricultural economics
Baylis, Kathy; Heckelei, Thomas; Storm, Hugo - In: Handbook of agricultural economics : volume 5, (pp. 4551-4612). 2021
Persistent link: https://www.econbiz.de/10013459625
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Recent advances in stock market prediction using text mining : a survey
Alzazah, Faten Subhi; Cheng, Xiaochun - In: E-business - higher education and intelligence applications, (pp. 101-133). 2021
Persistent link: https://www.econbiz.de/10012605510
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Deep-mental workload intelligent system : an AI-augmented system to predict employee mental workload based on EEG data using deep learning
Guo Foong Ng; Pantea Keikhosrokiani; Isomursu, Minna - In: Data-driven business intelligence systems for …, (pp. 268-298). 2024
Persistent link: https://www.econbiz.de/10014553223
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Workload forecasting of a logistic node using Bayesian neural networks
Nakilcioğlu, Emin Çağatay; Rizvanolli, Anisa; … - In: Changing tides : the new role of resilience and …, (pp. 237-264). 2022
Purpose: Traffic volume in empty container depots has been highly volatile due to external factors. Forecasting the expected container truck traffic along with having a dynamic module to foresee the future workload plays a critical role in improving the work efficiency. This paper studies the...
Persistent link: https://www.econbiz.de/10013435448
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Deep learning for time series forecasting
Yalçın Kayacan, Eda - In: Selected topics in applied econometrics, (pp. 243-254). 2019
Persistent link: https://www.econbiz.de/10012286997