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Deep end-to-end learning for price prediction of second-hand items
11 references·1 citing·50 second hop
Deep end-to-end learning for price prediction of second-hand items (2020)Deep end-to-end learning for price predic…Multistep-ahead forecasting of coal prices using a hybrid deep learning model (2020)Multistep-ahead forecasting o…Vision-based real estate price estimation (2018)Vision-based real estate pric…Recurrent Neural Network Based Bitcoin Price Prediction by Twitter Sentiment Analysis (2018)Recurrent Neural Network Base…Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting the Price of Bitco…Forecasting E-Commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data (2018)Forecasting E-Commerce Produc…Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer (2018)Crude oil price prediction mo…Price prediction of e-commerce products through Internet sentiment analysis (2017)Price prediction of e-commerc…Predicting Stock Market Behavior using Data Mining Technique and News Sentiment Analysis (2017)Predicting Stock Market Behav…A new boosting algorithm for improved time-series forecasting with recurrent neural networks (2006)A new boosting algorithm for …Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Distribution of the Estimator…Predicting Insolvency of Insurance Companies in Egyptian Market Using Bagging and Boosting Ensemble Techniques (2022)Predicting Insolvency of Insu…A Monetary History of the United States 1867-1960 (1964)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Statistical analysis of cointegration vectors (1988)Testing for a Unit Root in Time Series Regression (1988)Bounds testing approaches to the analysis of level relationships (2001)Time series prediction: Forecasting the future and understanding the past (1994)Stacked Regressions (1996)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A comparison of AdaBoost algorithms for time series forecast combination (2016)Cross-validation aggregation for combining autoregressive neural network forecasts (2016)Predicting monthly biofuel production using a hybrid ensemble forecasting methodology (2019)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Forecasting with artificial neural networks: (1998)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Designing a neural network for forecasting financial and economic time series (1996)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Practical Bayesian Optimization of Machine Learning Algorithms (2012)An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)An innovative neural network approach for stock market prediction (2018)Deep learning for financial applications : A survey (2020)Forecasting Intraday stock price trends with text mining techniques (2004)Harvesting social media sentiment analysis to enhance stock market prediction using deep learning (2021)A comprehensive review on multiple hybrid deep learning approaches for stock prediction (2022)News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review (2023)An Exploration of Neural Networks and Its Application to Real Estate Valuation (1995)Hedonic Pricing Models: A Selective and Applied Review (2002)Real estate appraisal: a review of valuation methods (2003)Deep Learning Model for House Price Prediction Using Heterogeneous Data Analysis Along With Joint Self-Attention Mechanism (2021)How much is the view from the window worth? Machine learning-driven hedonic pricing model of the real estate market (2022)Neural network forecasts of Canadian stock returns using accounting ratios (2003)Short-term predictability of crude oil markets: A detrended fluctuation analysis approach (2008)A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting (2015)A new hybrid model for forecasting Brent crude oil price (2020)A novel hybrid model for forecasting crude oil price based on time series decomposition (2020)Financial Time Series Forecasting with the Deep Learning Ensemble Model (2023)Sentiment analysis of Twitter data for predicting stock market movements (2016)Bitcoin Price Prediction and Analysis Using Deep Learning Models (2020)A Stacking Ensemble Deep Learning Model for Bitcoin Price Prediction Using Twitter Comments on Bitcoin (2022)Bitcoin price change and trend prediction through twitter sentiment and data volume (2022)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power (2001)Big Data in Forecasting Research: A Literature Review (2021)Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit (2022)An artificial neural network (p,d,q) model for timeseries forecasting (2009)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Can Exchange Rates Forecast Commodity Prices? * (2010)The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning (2021)Coking coal futures price index forecasting with the neural network (2022)Machine learning Brent crude oil price forecasts (2024)
this work references cited by second hop

References

  • 1979Distribution of the Estimators for Autoregressive Time Series with a Unit Root23,183 cited
  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 2018Predicting the Price of Bitcoin Using Machine Learning690 cited
  • 2017Predicting Stock Market Behavior using Data Mining Technique and News Sentiment Analysis169 cited
  • 2006A new boosting algorithm for improved time-series forecasting with recurrent neural networks140 cited
  • 2018Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer139 cited
  • 2020Multistep-ahead forecasting of coal prices using a hybrid deep learning model135 cited
  • 2018Vision-based real estate price estimation133 cited
  • 2018Recurrent Neural Network Based Bitcoin Price Prediction by Twitter Sentiment Analysis131 cited
  • 2018Forecasting E-Commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data65 cited
  • 2017Price prediction of e-commerce products through Internet sentiment analysis55 cited

Cited by

  • 2022Predicting Insolvency of Insurance Companies in Egyptian Market Using Bagging and Boosting Ensemble Techniques22 cited

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