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  • Search: subject:"Deep neural networks"
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Year of publication
Subject
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Neural networks 18 Neuronale Netze 18 Theorie 12 Theory 12 deep neural networks 12 Artificial intelligence 9 Künstliche Intelligenz 9 Forecasting model 8 Prognoseverfahren 8 machine learning 6 Algorithm 5 Algorithmus 5 Deep neural networks 5 Learning process 3 Lernprozess 3 Mathematical programming 3 Mathematische Optimierung 3 Option pricing theory 3 Optionspreistheorie 3 Stochastic process 3 Stochastischer Prozess 3 Capital income 2 Daily stock return forecasting 2 Data representation 2 Deep Neural Networks 2 Deep neural networks (DNNs) 2 Forecast 2 Hybrid machine learning algorithms 2 Kapitaleinkommen 2 Learning 2 Lernen 2 Option trading 2 Optionsgeschäft 2 Prognose 2 Return direction classification 2 Scheduling problem 2 Scheduling-Verfahren 2 Trading strategies 2 backward stochastic differential equations 2 contracts for difference 2
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Online availability
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Free 22 CC license 8
Type of publication
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Article 18 Book / Working Paper 4
Type of publication (narrower categories)
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Article in journal 14 Aufsatz in Zeitschrift 14 Arbeitspapier 4 Article 4 Working Paper 4 Graue Literatur 3 Non-commercial literature 3
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Language
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English 22
Author
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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 Bocu, Erdogan 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 Fatouros, Georgios 1 Feghali, Rita 1 Filik, Tansu 1 Filippakis, Michael 1 Gupta, Vinti 1 Handawi, Khalil Al 1 Karakoc, Hikmet Tahir 1 Kazim, Emre 1 Khalil, Athar 1 Kingsman, Nigel 1 Kneib, Thomas 1 Kokkolaras, Michael 1 Koshiyama, Adriano 1 Kotios, Dimitrios 1 Kumar, Rishabh 1 Kyriazis, Dimosthenis 1 Lichter, Jens 1 Liu, Yang 1 Lovell, Zac 1
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Published in...
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Decision analytics journal 2 Journal of forecasting 2 Les cahiers du GERAD 2 Technology audit and production reserves 2 AStA Advances in Statistical Analysis 1 Digital finance : smart data analytics, investment innovation, and financial technology 1 Financial Innovation 1 Financial innovation : FIN 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 open innovation : technology, market, and complexity 1 Journal of risk and financial management : JRFM 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 Transportation science 1
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Source
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ECONIS (ZBW) 18 EconStor 4
Showing 1 - 10 of 22
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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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