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  • Search: subject:"Long Short-Term Memory"
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Year of publication
Subject
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Forecasting model 122 Prognoseverfahren 122 Theorie 88 Theory 88 Neural networks 86 Neuronale Netze 86 Artificial intelligence 68 Künstliche Intelligenz 68 Time series analysis 47 Zeitreihenanalyse 47 long short-term memory 42 Long short-term memory 41 Börsenkurs 38 Share price 38 Forecast 35 Prognose 35 Learning process 31 Lernprozess 31 Deep learning 30 deep learning 24 Aktienmarkt 20 Stock market 20 Volatility 20 Volatilität 20 Capital income 17 Kapitaleinkommen 17 LSTM 17 Portfolio selection 15 Portfolio-Management 15 Aktienindex 13 Stock index 13 machine learning 13 Algorithm 12 Algorithmus 12 China 12 Long short-term memory (LSTM) 12 ARCH model 10 ARCH-Modell 10 Long Short-Term Memory 10 ARMA model 9
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Online availability
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Undetermined 128 Free 78 CC license 33
Type of publication
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Article 192 Book / Working Paper 17
Type of publication (narrower categories)
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Article in journal 171 Aufsatz in Zeitschrift 171 Working Paper 17 Arbeitspapier 16 Graue Literatur 16 Non-commercial literature 16 Article 8 research-article 7 Aufsatz im Buch 3 Book section 3
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Language
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English 209
Author
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Marino, Mario 4 Ślepaczuk, Robert 4 Levantesi, Susanna 3 Nigri, Andrea 3 Patnaik, Srikanta 3 Zheng, Weimin 3 Abdi, Farshid 2 Abolmakarem, Shaghayegh 2 Al Theeb, Nader 2 Al-Qaydeh, Naser 2 An, Seunghyun 2 Baek, Heon 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 Kumar, Arun 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
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Published in...
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Computational economics 16 Journal of forecasting 6 Working papers 6 International Journal of Energy Economics and Policy : IJEEP 5 Journal of information & knowledge management : JIKM 5 Data science and management : DSM 4 Financial innovation : FIN 4 International journal of financial engineering 4 Technological forecasting & social change : an international journal 4 Energy economics 3 IEEE transactions on engineering management : EM 3 International journal of forecasting 3 International journal of intelligent enterprise 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 Electronic commerce research 2 Finance research letters 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 production research 2 International review of financial analysis 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
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Source
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ECONIS (ZBW) 190 Other ZBW resources 10 EconStor 9
Showing 1 - 10 of 209
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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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Advanced time series forecasting of electricity generation in Turkey : a comparative study using LSTM models, ARIMA, and PSO : optimized holt trend
Barak, Mensure Zuhal; Karakas, Esra - In: International Journal of Energy Economics and Policy : IJEEP 16 (2026) 2, pp. 714-729
Persistent link: https://www.econbiz.de/10015620374
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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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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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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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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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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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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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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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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; Al-Qaydeh, Naser - 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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