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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 1 - 10 of 44
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Deep neural network model enhanced with data preparation for the directional predictability of multi-stock returns
Samak Boonpan; Weerachai Sarakorn - In: Journal of open innovation : technology, market, and … 11 (2025) 1, pp. 1-15
This study presents novel deep neural networks (DNNs) that integrate a thorough data preparation process, including … predictions. This study presents valuable insights into applying deep neural networks (DNNs) for financial forecasting. It is an …
Persistent link: https://www.econbiz.de/10015358507
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Short-term multivariate airworthiness forecasting based on decomposition and deep prediction models
Tatli, Ali; Filik, Tansu; Bocu, Erdogan; Karakoc, … - In: Journal of forecasting 44 (2025) 1, pp. 41-58
Persistent link: https://www.econbiz.de/10015373951
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Variational inference: uncertainty quantification in additive models
Lichter, Jens; Wiemann, Paul F V; Kneib, Thomas - In: AStA Advances in Statistical Analysis 108 (2024) 2, pp. 279-331
Markov chain Monte Carlo (MCMC)-based simulation approaches are by far the most common method in Bayesian inference to access the posterior distribution. Recently, motivated by successes in machine learning, variational inference (VI) has gained in interest in statistics since it promises a...
Persistent link: https://www.econbiz.de/10015361352
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An overview of statistical and neural-based line segmentation methods for offline handwriting recognition task
Yakovchuk, Oleg; Rogoza, Walery - In: Technology audit and production reserves 1 (2024) 2/75, pp. 14-19
Persistent link: https://www.econbiz.de/10014497327
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Hybrid convolutional long short-term memory models for sales forecasting in retail
Moraes, Thais de Castro; Yuan, Xue-ming; Chew, Ek Peng - In: Journal of forecasting 43 (2024) 5, pp. 1278-1293
Persistent link: https://www.econbiz.de/10015108373
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A clinical named entity recognition model using pretrained word embedding and deep neural networks
Dash, Adyasha; Darshana, Subhashree; Yadav, Devendra Kumar - In: Decision analytics journal 10 (2024), pp. 1-10
Clinical Named Entity Recognition (NER) within Electronic Medical Records (EMRs) has seen substantial research attention. Since much clinical information resides in unstructured text, NER technology is pivotal in extracting vital patient data from such sources. The ubiquity of EMRs has fueled...
Persistent link: https://www.econbiz.de/10015101649
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Deep learning model fragility and implications for financial stability and regulation
Kumar, Rishabh; Koshiyama, Adriano; Costa, Kleyton da; … - 2023
Persistent link: https://www.econbiz.de/10014373751
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The selection of an optimal segmentation region in physiological signals
Oliveira, Jorge; Carvalho, Margarida; Nogueira, Diogo; … - In: International transactions in operational research : a … 30 (2023) 1, pp. 601-618
Persistent link: https://www.econbiz.de/10013417048
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Increasing the accuracy of handwriting text recognition in medical prescriptions with generative artificial intelligence
Yakovchuk, Oleg; Vasin, Maksym - In: Technology audit and production reserves 4 (2023) 2/72, pp. 18-21
Persistent link: https://www.econbiz.de/10014445563
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A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease
Sawhney, Rahul; Malik, Aabha; Sharma, Shilpi; Narayan, Vipul - In: Decision analytics journal 6 (2023), pp. 1-11
Chronic Kidney Disease (CKD) is one of the most prevalent and fatal diseases influencing people on a larger that remains dormant until irreversible damage has been done to an individual's kidney. Progression of CKD is related to a variety of great complications, including increased incidence of...
Persistent link: https://www.econbiz.de/10014505996
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