Search Results - subject:"LSTM"

Deep learning-based distributed denial-of-service detection

Mennour, Hanene; Mostefai, Sihem - In: International journal of networking and virtual … 26 (2022) 1/2, pp. 80-103

Persistent link: https://www.econbiz.de/10013256822

Attribute sentiment scoring with online text reviews : accounting for language structure and missing attributes

Chakraborty, Ishita; Kim, Minkyung; Sudhir, K. - In: Journal of marketing research 59 (2022) 3, pp. 600-622

Persistent link: https://www.econbiz.de/10013258058

Forecasting commodity market returns volatility : a hybrid ensemble learning GARCH-LSTM based approach

Kakade, Kshitij; Mishra, Aswini Kumar; Ghate, Kshitish; … - In: Intelligent systems in accounting, finance & management 29 (2022) 2, pp. 103-117

Persistent link: https://www.econbiz.de/10013274256

A portfolio construction framework using LSTM-based stock markets forecasting

Cipiloglu Yildiz, Zeynep; Yildiz, Selim Baha - In: International journal of finance & economics : IJFE 27 (2022) 2, pp. 2356-2366

Persistent link: https://www.econbiz.de/10013184892

Multistep forecast of the implied volatility surface using deep learning

Medvedev, Nikita; Wang, Zhiguang - In: The journal of futures markets 42 (2022) 4, pp. 645-667

Persistent link: https://www.econbiz.de/10013187579

The influence of social media in improving supply chain intelligence using deep learning

Eddamiri, Siham; Houmer, Meriem; Ouaissa, Mariya; … - In: Artificial intelligence of things in smart environments …, (pp. 139-152). 2022

Persistent link: https://www.econbiz.de/10013163638

Forecasting directional movements of stock prices for intraday trading using LSTM and random forests

Ghosh, Pushpendu; Neufeld, Ariel; Sahoo, Jajati Keshari - In: Finance research letters 46 (2022) 1, pp. 1-8

Persistent link: https://www.econbiz.de/10013341333

Performance evaluation for tool wear prediction based on bi-directional, encoder-decoder and hybrid long short-term memory models

Kumar, Satish; Kolekar, Tushar; Kotecha, Ketan; Patil, … - In: International journal of quality & reliability management 39 (2022) 7, pp. 1551-1576

Persistent link: https://www.econbiz.de/10013397850

Discovering signals of platform failure risks from customer sentiment: the case of online P2P lending

Zhang, Qiang; Zhu, Xinyu; Zhao, J. Leon; Liang, Liang - In: Industrial Management & Data Systems 122 (2022) 3, pp. 666-681

sentiment by integrating word embedding technique and bidirectional long short-term memory (Bi-LSTM). On top of that, we show …

Persistent link: https://www.econbiz.de/10014825765

Credit default swap prediction based on generative adversarial networks

Lin, Shu-Ying; Liu, Duen-Ren; Huang, Hsien-Pin - In: Data Technologies and Applications 56 (2022) 5, pp. 720-740

Purpose Financial price forecast issues are always a concern of investors. However, the financial applications based on machine learning methods mainly focus on stock market predictions. Few studies have explored credit risk predictions. Understanding credit risk trends can help investors avoid...

Persistent link: https://www.econbiz.de/10014712758