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  • Search: subject:"Temporal Convolutional Networks"
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Year of publication
Subject
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Temporal convolutional networks 5 Forecasting model 3 Prognoseverfahren 3 Theorie 3 Theory 3 Forecast 2 Neural networks 2 Neuronale Netze 2 Prognose 2 Simulation 2 Time series analysis 2 Zeitreihenanalyse 2 3D writing 1 Accessibility graphs 1 Artificial intelligence 1 Bayes-Statistik 1 Bayesian inference 1 Bayesian optimisation 1 Business network 1 Capital income 1 Convolutional neural networks 1 Crude oil forecasting 1 Deep learning 1 Dynamic graph convolution 1 Financial modeling 1 Generative adversarial networks 1 Gesture-based applications 1 Graph theory 1 Graphentheorie 1 Human-computer interaction 1 Jump-diffusion stochastic volatility 1 Kapitaleinkommen 1 Künstliche Intelligenz 1 LightGBM 1 Machine learning 1 Method of simulated moments 1 Metro system 1 Model confidence set 1 Network 1 Netzwerk 1
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Online availability
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Free 3 Undetermined 3 CC license 2
Type of publication
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Article 5 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 6
Author
All
Chassot, Jonathan 1 Chen, Lufeng 1 Creel, Michael D. 1 D'Ariano, Andrea 1 Foroutan, Parisa 1 He, Bisheng 1 Knobloch, Robert 1 Korn, Ralf 1 Koundal, Deepika 1 Kretschmer, Peter 1 Lahmiri, Salim 1 Singh, Aradhana Kumari 1 Wen, Keyu 1 Wiese, Magnus 1 Yildiztepe, Engin 1 Yilmaz, Firat Melih 1 Zhu, Yongjun 1
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Published in...
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BSE working paper : working papers 1 Computational economics 1 Decision analytics journal 1 Financial innovation : FIN 1 Operations research forum 1 Quantitative finance 1
Source
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ECONIS (ZBW) 6
Showing 1 - 6 of 6
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A Temporal Convolutional Network for modeling raw 3D sequences and air-writing recognition
Singh, Aradhana Kumari; Koundal, Deepika - In: Decision analytics journal 10 (2024), pp. 1-7
. Temporal Convolutional Networks (TCN) have been proposed for an air-writing recognition system. TCNs are variations of …
Persistent link: https://www.econbiz.de/10014533500
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Deep learning systems for forecasting the prices of crude oil and precious metals
Foroutan, Parisa; Lahmiri, Salim - In: Financial innovation : FIN 10 (2024), pp. 1-40
Commodity markets, such as crude oil and precious metals, play a strategic role in the economic development of nations, with crude oil prices influencing geopolitical relations and the global economy. Moreover, gold and silver are argued to hedge the stock and cryptocurrency markets during...
Persistent link: https://www.econbiz.de/10015361682
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Constructing efficient simulated moments using temporal convolutional networks
Chassot, Jonathan; Creel, Michael D. - 2023
Persistent link: https://www.econbiz.de/10014445299
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Statistical evaluation of deep learning models for stock return forecasting
Yilmaz, Firat Melih; Yildiztepe, Engin - In: Computational economics 63 (2024) 1, pp. 221-244
Persistent link: https://www.econbiz.de/10014472083
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Dynamic relational graph convolutional network for metro passenger flow forecasting
He, Bisheng; Zhu, Yongjun; D'Ariano, Andrea; Wen, Keyu; … - In: Operations research forum 4 (2023) 4, pp. 1-27
Persistent link: https://www.econbiz.de/10014388692
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Quant GANs : deep generation of financial time series
Wiese, Magnus; Knobloch, Robert; Korn, Ralf; … - In: Quantitative finance 20 (2020) 9, pp. 1419-1440
Persistent link: https://www.econbiz.de/10012313474
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