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Year of publication
Subject
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Neural networks 6 Neuronale Netze 6 Artificial intelligence 3 Forecasting model 3 Künstliche Intelligenz 3 Learning process 3 Lernprozess 3 Prognoseverfahren 3 Theorie 3 Theory 3 Activation Function 2 Activation function 2 Algorithm 2 Algorithmus 2 Estimation theory 2 Mathematical programming 2 Mathematische Optimierung 2 Schätztheorie 2 APTx activation function 1 Adjusted Fit 1 Air transport 1 Alpha waves 1 Artificial neural network 1 Aviation industry 1 Bank 1 Beziehungsmarketing 1 Bias 1 Binary Structure 1 Convolutional Neural Network 1 Convolutional neural network 1 Cross Validation 1 Data normalization 1 Deep Learning 1 Deep learning 1 Electroencephalogram signals 1 Epoch 1 Fit 1 Fold 1 Grid Prediction 1 Hidden Layer 1
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Online availability
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Free 7 CC license 3
Type of publication
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Article 5 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2
Language
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English 7
Author
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Al Amin, Abdullah 1 Alam, Md Shafiqul 1 Bhatnagar, Shaleen 1 Cao, Jianmin 1 Chowdhury, Shilpa 1 Czasonis, Megan 1 Deb, Jayanta Bhusan 1 Fahad, Nur Mohammad 1 Gao, Jiti 1 Gkonis, Vasileios 1 Jain, Shruti 1 Khandelwal, Sarika 1 Kritzman, Mark 1 Li, Chunxu 1 Mamun, Abdullah Al 1 Mukta, Md. Saddam Hossain 1 Peng, Bin 1 Rahman, Md. Anisur 1 Raiaan, Mohaimenul Azam Khan 1 Sakib, Sadman 1 Shatabda, Swakkhar 1 Sun, Yingyi 1 Tsakalos, Ioannis 1 Turkington, David 1 Vyawahare, Harsha 1 Yang, Yanrong 1
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Published in...
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Decision analytics journal 3 Journal of forecasting 1 Journal of the Operational Research Society 1 Sloan working papers 1 Working paper / Department of Econometrics and Business Statistics, Monash University 1
Source
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ECONIS (ZBW) 7
Showing 1 - 7 of 7
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Deep dive into churn prediction in the banking sector : the challenge of hyperparameter selection and imbalanced learning
Gkonis, Vasileios; Tsakalos, Ioannis - In: Journal of forecasting 44 (2025) 2, pp. 281-296
Persistent link: https://www.econbiz.de/10015374022
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An artificial neural network for predicting air traffic demand based on socio-economic parameters
Alam, Md Shafiqul; Deb, Jayanta Bhusan; Al Amin, Abdullah; … - In: Decision analytics journal 10 (2024), pp. 1-13
Over the past five years, emerging economies have consistently progressed toward achieving greater economic independence. The aviation industry has played a significant role in driving this progress. Accurately forecasting the future demand for air travel is crucial for making long-term...
Persistent link: https://www.econbiz.de/10014541528
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A transparent alternative to neural networks with an application to predicting volatility
Czasonis, Megan; Kritzman, Mark; Turkington, David - 2024 - This version: September 12, 2024
Persistent link: https://www.econbiz.de/10015101048
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A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks
Raiaan, Mohaimenul Azam Khan; Sakib, Sadman; Fahad, Nur … - In: Decision analytics journal 11 (2024), pp. 1-32
Convolutional Neural Network (CNN) is a prevalent topic in deep learning (DL) research for their architectural advantages. CNN relies heavily on hyperparameter configurations, and manually tuning these hyperparameters can be time-consuming for researchers, therefore we need efficient...
Persistent link: https://www.econbiz.de/10015101999
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A deep learning approach for assessing stress levels in patients using electroencephalogram signals
Bhatnagar, Shaleen; Khandelwal, Sarika; Jain, Shruti; … - In: Decision analytics journal 7 (2023), pp. 1-6
13-21. The model architecture used in the study is EEGnet, a compact convolutional neural network with a Relu activation … function. We experimented with the mother wavelet decomposition method with 0 to 60 Hz frequency electroencephalogram signals …
Persistent link: https://www.econbiz.de/10014434143
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A universal noise-suppressing neural algorithm framework aided with nonconvex activation function for time-varying quadratic programming problems
Sun, Yingyi; Cao, Jianmin; Li, Chunxu - In: Journal of the Operational Research Society 74 (2023) 6, pp. 1443-1461
Persistent link: https://www.econbiz.de/10014335398
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A localised neural network with dependent data: estimation and inference
Gao, Jiti; Peng, Bin; Yang, Yanrong - 2023
Persistent link: https://www.econbiz.de/10014452592
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