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  • Search: subject:"Deep Neural Networks"
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Year of publication
Subject
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Neural networks 39 Neuronale Netze 39 Theorie 26 Theory 26 Artificial intelligence 21 Forecasting model 21 Künstliche Intelligenz 21 Prognoseverfahren 21 deep neural networks 18 Deep neural networks 17 Algorithm 10 Algorithmus 10 machine learning 9 Deep Neural Networks 5 Mathematical programming 5 Mathematische Optimierung 5 Capital income 4 Kapitaleinkommen 4 Learning process 4 Lernprozess 4 Machine learning 4 Option pricing theory 4 Optionspreistheorie 4 Scheduling problem 4 Scheduling-Verfahren 4 Aktienmarkt 3 Forecast 3 Learning 3 Lernen 3 Portfolio selection 3 Portfolio-Management 3 Prognose 3 Risiko 3 Risk 3 Stochastic process 3 Stochastischer Prozess 3 Stock market 3 CNN 2 COVID-19 2 Daily stock return forecasting 2
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Online availability
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Free 22 Undetermined 21 CC license 8
Type of publication
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Article 40 Book / Working Paper 4
Type of publication (narrower categories)
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Article in journal 34 Aufsatz in Zeitschrift 34 Arbeitspapier 4 Article 4 Working Paper 4 Graue Literatur 3 Non-commercial literature 3 Aufsatz im Buch 1 Book section 1 research-article 1
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Language
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English 44
Author
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Agarwal, Sonali 2 Anderson, David 2 Enke, David 2 Handmann, Uwe 2 Kremsner, Stefan 2 Steinicke, Alexander 2 Szölgyenyi, Michaela 2 Ulrych, Urban 2 Wehrmann, Maximilian 2 Yakovchuk, Oleg 2 Zengeler, Nico 2 Zhong, Xiao 2 Aloui, Riadh 1 Arin, Efe 1 Bedi, Punam 1 Bocu, Erdogan 1 Bombelli, Alessandro 1 Bouška, Michal 1 Burzoni, M. 1 Carvalho, Margarida 1 Chamseddine, Ibrahim 1 Chehri, Abdellah 1 Chen, Nan 1 Chew, Ek Peng 1 Coimbra, Miguel 1 Costa, Kleyton da 1 Darshana, Subhashree 1 Dash, Adyasha 1 Deswal, Suman 1 Doldi, A. 1 Fang, Wei 1 Fatouros, Georgios 1 Feghali, Rita 1 Feuerriegel, Stefan 1 Filik, Tansu 1 Filippakis, Michael 1 Gupta, Vinti 1 Handawi, Khalil Al 1 Hanzálek, Zdeněk 1 Huddleston, Dillon 1
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Published in...
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European journal of operational research : EJOR 3 Journal of forecasting 3 Decision analytics journal 2 Les cahiers du GERAD 2 Quantitative finance 2 Technology audit and production reserves 2 AStA Advances in Statistical Analysis 1 Annals of actuarial science : publ. by the Institute of Actuaries and the Faculty of Actuaries 1 Business horizons 1 Computational economics 1 Data Technologies and Applications 1 Digital finance : smart data analytics, investment innovation, and financial technology 1 Empirical economics : a quarterly journal of the Institute for Advanced Studies 1 Financial Innovation 1 Financial innovation : FIN 1 Global business review 1 International journal of networking and virtual organisations : IJNVO 1 International transactions in operational research : a journal of the International Federation of Operational Research Societies 1 Journal of Risk and Financial Management 1 Journal of financial econometrics 1 Journal of information & knowledge management : JIKM 1 Journal of mathematical finance 1 Journal of open innovation : technology, market, and complexity 1 Journal of risk and financial management : JRFM 1 Journal of the Operational Research Society 1 Quantitative finance and economics 1 Research paper series / Swiss Finance Institute 1 Risks 1 Risks : open access journal 1 Staff working papers / Bank of England 1 Strategic system assurance and business analytics 1 The journal of behavioral finance : a publication of the Institute of Psychology and Markets and LEA 1 The journal of computational finance 1 Theoretical economics letters 1 Transportation research / E : an international journal 1 Transportation science 1
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Source
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ECONIS (ZBW) 39 EconStor 4 Other ZBW resources 1
Showing 21 - 30 of 44
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Public subsidies and innovation : a doubly robust machine learning approach leveraging deep neural networks
Varaku, Kerda; Sickles, Robin C. - In: Empirical economics : a quarterly journal of the … 64 (2023) 6, pp. 3121-3165
Persistent link: https://www.econbiz.de/10014329026
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Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness
Bouška, Michal; Šůcha, Přemysl; Novak, Antonin; … - In: European journal of operational research : EJOR 308 (2023) 3, pp. 990-1006
Persistent link: https://www.econbiz.de/10014311872
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Intraday market predictability : a machine learning approach
Huddleston, Dillon; Liu, Fred; Stentoft, Lars - In: Journal of financial econometrics 21 (2023) 2, pp. 485-527
Persistent link: https://www.econbiz.de/10014314759
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A deep neural network algorithm for semilinear elliptic PDEs with applications in insurance mathematics
Kremsner, Stefan; Steinicke, Alexander; Szölgyenyi, … - In: Risks 8 (2020) 4, pp. 1-18
equations-are approximated by means of deep neural networks. …
Persistent link: https://www.econbiz.de/10013200669
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A deep neural network algorithm for semilinear elliptic PDEs with applications in insurance mathematics
Kremsner, Stefan; Steinicke, Alexander; Szölgyenyi, … - In: Risks : open access journal 8 (2020) 4/136, pp. 1-18
equations-are approximated by means of deep neural networks. …
Persistent link: https://www.econbiz.de/10012391761
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Predicting the daily return direction of the stock market using hybrid machine learning algorithms
Zhong, Xiao; Enke, David - In: Financial Innovation 5 (2019) 1, pp. 1-20
market returns, especially when using powerful machine learning techniques, such as deep neural networks (DNNs), to perform …
Persistent link: https://www.econbiz.de/10012602820
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Predicting the daily return direction of the stock market using hybrid machine learning algorithms
Zhong, Xiao; Enke, David - In: Financial innovation : FIN 5 (2019) 24, pp. 1-20
market returns, especially when using powerful machine learning techniques, such as deep neural networks (DNNs), to perform …
Persistent link: https://www.econbiz.de/10012266935
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Deep learning-based sentiment analysis : establishing customer dimension as the lifeblood of business management
Agarwal, Sonali - In: Global business review 23 (2022) 1, pp. 119-136
Persistent link: https://www.econbiz.de/10012822096
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An algorithm selection approach for the flexible job shop scheduling problem : choosing constraint programming solvers through machine learning
Müller, David; Müller, Marcus G.; Kress, Dominik; … - In: European journal of operational research : EJOR 302 (2022) 3, pp. 874-891
Persistent link: https://www.econbiz.de/10013363794
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Employing google trends and deep learning in forecasting financial market turbulence
Petropoulos, Anastasios; Siakoulis, Vasileios; … - In: The journal of behavioral finance : a publication of … 23 (2022) 3, pp. 353-365
Persistent link: https://www.econbiz.de/10013353015
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