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Using an in-class simulation in the first accounting class : moving from surface to deep learning
Phillips, Mary E.; Graeff, Timothy R. - In: Journal of education for business 89 (2014) 5, pp. 241-247
Persistent link: https://www.econbiz.de/10010471831
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The interaction between learning styles, ethics education, and ethical climate
Lawter, Leanna; Rua, Tuvana; Guo, Grace Chun - In: The journal of management development 33 (2014) 6, pp. 580-593
Persistent link: https://www.econbiz.de/10010392101
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Semantic segmentation with transfer learning for self-driving cars
Hirchoua, Badr; El Motaki, Saloua - In: Artificial intelligence of things in smart environments …, (pp. 63-82). 2022
Persistent link: https://www.econbiz.de/10013163591
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Macroeconomic and financial market analyses and predictions through deep learning
Kim, Soohyon - 2020
Persistent link: https://www.econbiz.de/10012546997
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Transfer learning for business cycle identification
Chauvet, Marcelle; Guimarães, Rafael Rockenbach da Silva - 2021
Persistent link: https://www.econbiz.de/10012549852
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Deep reinforcement learning for optimal stopping with application in financial engineering
Fathan, Abderrahim; Delage, Erick - 2021
Persistent link: https://www.econbiz.de/10012588030
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Sentiment classification and aspect-based sentiment analysis on yelp reviews using deep learning and word embeddings
Alamoudi, Eman Saeed; Alghamdi, Norah Saleh - In: Journal of decision systems 30 (2021) 2/3, pp. 259-281
Persistent link: https://www.econbiz.de/10012623275
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Predicting product adoption intentions : an integrated behavioral model-inspired multiview learning approach
Zhang, Zhu; Wei, Xuan; Zheng, Xiaolong; Zeng, Daniel Dajun - In: Information & management : the internat. journal of … 58 (2021) 7, pp. 1-12
Persistent link: https://www.econbiz.de/10013259378
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Machine learning and deep learning based methods toward industry 4.0 predictive maintenance in induction motors : state of the art survey
Drakaki, Maria; Karnavas, Yannis L.; Tziafettas, Ioannis A. - In: Journal of industrial engineering and management : JIEM 15 (2022) 1, pp. 31-57
Purpose: Developments in Industry 4.0 technologies and Artificial Intelligence (AI) have enabled data-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of induction motors (IMs). The maintenance and early FD/D...
Persistent link: https://www.econbiz.de/10012815091
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Machine learning and deep learning
Janiesch, Christian; Zschech, Patrick; Heinrich, Kai - In: Electronic markets : EM ; the international journal of … 31 (2021) 3, pp. 685-695
Persistent link: https://www.econbiz.de/10012666765