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Deep end-to-end learning for price prediction of second-hand items · Study

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ArticleDeep end-to-end learning for price prediction of second-hand items

Ahmed Fathalla2020

Article2020

Deep end-to-end learning for price prediction of second-hand items

Ahmed Fathalla · Ahmad Salah · Kenli Li · Francesco Piccialli

55 citations·0/0 files stored·Knowledge and Information Systems

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Forecasting Techniques and Applications Advanced Neural Network Applications Auction Theory and Applications

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References

1979Distribution of the Estimators for Autoregressive Time Series with a Unit Root 2003Time series forecasting using a hybrid ARIMA and neural network model 2018Predicting the Price of Bitcoin Using Machine Learning 2017Predicting Stock Market Behavior using Data Mining Technique and News Sentiment Analysis 2006A new boosting algorithm for improved time-series forecasting with recurrent neural networks 2018Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer 2020Multistep-ahead forecasting of coal prices using a hybrid deep learning model 2018Vision-based real estate price estimation

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2022Predicting Insolvency of Insurance Companies in Egyptian Market Using Bagging and Boosting Ensemble Techniques

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Year2020

Typearticle

Published2020-07-24

VenueKnowledge and Information Systems

ISSN-L0219-1377

Languageen

Citations55

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1007/s10115-020-01495-8

openalex_workW3044744503

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