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  • Search: subject:"long short-term memory"
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Year of publication
Subject
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Forecasting model 104 Prognoseverfahren 104 Neural networks 79 Neuronale Netze 79 Theorie 76 Theory 76 Artificial intelligence 62 Künstliche Intelligenz 62 long short-term memory 39 Long short-term memory 36 Time series analysis 33 Zeitreihenanalyse 33 Börsenkurs 31 Share price 31 Forecast 28 Learning process 28 Lernprozess 28 Prognose 28 Deep learning 25 deep learning 22 Volatility 17 Volatilität 17 Aktienmarkt 15 LSTM 15 Stock market 15 Capital income 13 Kapitaleinkommen 13 Portfolio selection 13 Portfolio-Management 13 machine learning 12 China 11 Algorithm 10 Algorithmus 10 Aktienindex 9 Long Short-Term Memory 9 Long short-term memory (LSTM) 9 Machine learning 9 Stock index 9 recurrent neural networks 9 ARCH model 8
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Online availability
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Undetermined 109 Free 71 CC license 30
Type of publication
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Article 167 Book / Working Paper 16
Type of publication (narrower categories)
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Article in journal 146 Aufsatz in Zeitschrift 146 Working Paper 16 Arbeitspapier 15 Graue Literatur 15 Non-commercial literature 15 Article 8 research-article 7 Aufsatz im Buch 3 Book section 3
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Language
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English 183
Author
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Marino, Mario 4 Ślepaczuk, Robert 4 Levantesi, Susanna 3 Nigri, Andrea 3 Zheng, Weimin 3 Abdi, Farshid 2 Abolmakarem, Shaghayegh 2 An, Seunghyun 2 Barthélémy, Sylvain 2 Chakraborty, Ishita 2 Deng, Zuohua 2 Didehkhani, Hosein 2 Frank, Johannes 2 Fu, Hao 2 Gautier, Virginie 2 Gunduz, Hakan 2 Handmann, Uwe 2 Healy, Brian 2 Huang, Liyao 2 Jiang, Xiangxi 2 Khalili-Damghani, Kaveh 2 Khorrami, Farshad 2 Kim, GeunSub 2 Kim, Jong-Min 2 Kim, Minkyung 2 Lee, Gunwoo 2 Lee, Joowon 2 Li, Cheng 2 Lin, Yu 2 Liu, Hao 2 Londhe, Sanket Tanaji 2 Michańków, Jakub 2 Miller, Dante 2 Ngare, Philip 2 Odhiambo, Joab 2 Padhiari, Brajabandhu 2 Palwe, Sushila 2 Papanicolaou, Andrew 2 Patnaik, Deepti 2 Patnaik, Srikanta 2
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Published in...
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Computational economics 6 Journal of forecasting 6 Working papers 5 International Journal of Energy Economics and Policy : IJEEP 4 International journal of financial engineering 4 Technological forecasting & social change : an international journal 4 Data science and management : DSM 3 Financial innovation : FIN 3 IEEE transactions on engineering management : EM 3 International journal of forecasting 3 International journal of networking and virtual organisations : IJNVO 3 Journal of Risk and Financial Management 3 Journal of risk and financial management : JRFM 3 The North American journal of economics and finance : a journal of financial economics studies 3 Tourism economics : the business and finance of tourism and recreation 3 Applied economics 2 Applied economics letters 2 Data Technologies and Applications 2 Energy economics 2 IEEE transactions on engineering management : EM ; a publication of the IEEE Engineering Management Society 2 Industrial Robot: the international journal of robotics research and application 2 International Journal of Financial Studies : open access journal 2 International journal of hospitality management 2 International journal of intelligent enterprise 2 International journal of production research 2 International review of financial analysis 2 Journal of information & knowledge management : JIKM 2 Journal of management information systems : JMIS 2 Journal of mathematical finance 2 Operations research forum 2 Quantitative finance 2 Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet 2 The journal of computational finance 2 Working paper 2 ASTIN bulletin : the journal of the International Actuarial Association 1 Annals of actuarial science 1 Applied economic perspectives and policy 1 Applied mathematical finance 1 Asia Pacific financial markets 1 Asian Journal of Shipping and Logistics (AJSL) 1
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Source
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ECONIS (ZBW) 164 Other ZBW resources 10 EconStor 9
Showing 1 - 10 of 183
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A clinical named entity recognition model using pretrained word embedding and deep neural networks
Dash, Adyasha; Darshana, Subhashree; Yadav, Devendra K.; … - 2024
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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Coupling LSTM neural networks and state-space models through analytically tractable inference
Vuong, Van-Dai; Nguyen, Luong-Ha; Goulet, James-A. - In: International journal of forecasting 41 (2025) 1, pp. 128-140
Persistent link: https://www.econbiz.de/10015440244
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Forecasting federal fund rates with AI : LSTM, GRU, and large language model approaches
Chan-Lau, Jorge A.; Quach, Toan Long; Shi, Rui - 2025
Persistent link: https://www.econbiz.de/10015453621
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Yield curve extrapolation with machine learning
Akiyama, Shinobu; Matsuyama, Naoki - In: ASTIN bulletin : the journal of the International … 55 (2025) 1, pp. 76-96
extrapolation method using machine learning. Using the long short-term memory architecture, we achieve purely data-driven yield …
Persistent link: https://www.econbiz.de/10015450022
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Short-term hourly hydropower prediction : evaluating LSTM and MILP-based methods
Villeneuve, Yoan; Séguin, Sara; Chehri, Abdellah; … - 2025
Persistent link: https://www.econbiz.de/10015404003
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Using machine learning to identify hidden constraints in vehicle routing problems
Konovalenko, Anna; Hvattum, Lars Magnus; Msakni, … - In: Computers & operations research : an international journal 179 (2025), pp. 1-10
Persistent link: https://www.econbiz.de/10015338572
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Comparative study of forecasting methods to predict the energy demand for the market of Colombia
Vargas-Forero, Victor Manuel; Manotas-Duque, Diego Fernando - In: International Journal of Energy Economics and Policy : IJEEP 15 (2025) 1, pp. 65-76
Persistent link: https://www.econbiz.de/10015333827
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Capturing complex electricity load patterns : a hybrid deep learning approach with proposed external-convolution attention
Zare, Mohammad Sadegh; Nikoo, Mohammad Reza; Chen, Mingjie - In: Energy strategy reviews 57 (2025), pp. 1-15
Convolutional Neural Network, Temporal Convolutional Network, and Bidirectional Long Short-Term Memory with a proposed attention …
Persistent link: https://www.econbiz.de/10015432128
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A long short-term memory enhanced realized conditional heteroskedasticity model
Liu, Chen; Wang, Chao; Minh-Ngoc Tran; Kohn, Robert - In: Economic modelling 142 (2025), pp. 1-10
Persistent link: https://www.econbiz.de/10015192384
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Bayesian-optimized ensemble deep learning models for demand forecasting in the volatile situations : a case study of grocery demand during Covid-19 outbreaks
Al Theeb, Nader; Smadi, Hazem - In: Journal of industrial engineering and management : JIEM 18 (2025) 1, pp. 193-213
.Design/methodology/approach: An ensemble model that based on combining Bayesian-optimized Long Short-Term Memory (BO-LSTM) and Gated Recurrent Unit …
Persistent link: https://www.econbiz.de/10015414985
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