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Enhancing deep learning for demand forecasting to address large data gaps
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Enhancing deep learning for demand forecasting to address large data gaps (2024)Enhancing deep learning for demand foreca…Using machine learning as a surrogate model for agent-based simulations (2022)Using machine learning as a s…Forecasting: theory and practice (2022)Forecasting: theory and pract…What Have We Learned about the Effects of the COVID-19 Pandemic on Consumer Behavior? (2021)What Have We Learned about th…Sharing and Sustainable Consumption in the Era of COVID-19 (2021)Sharing and Sustainable Consu…Psychological factors and consumer behavior during the COVID-19 pandemic (2021)Psychological factors and con…Machine learning advances for time series forecasting (2021)Machine learning advances for…Forecasting Indonesia Exports using a Hybrid Model ARIMA-LSTM (2021)Forecasting Indonesia Exports…Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Recurrent Neural Networks for…Machine learning demand forecasting and supply chain performance (2020)Machine learning demand forec…Daily retail demand forecasting using machine learning with emphasis on calendric special days (2020)Daily retail demand forecasti…Retail forecasting: Research and practice (2019)Retail forecasting: Research …N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)N-BEATS: Neural basis expansi…DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)DeepAR: Probabilistic forecas…Carbon futures price forecasting based with ARIMA-CNN-LSTM model (2019)Carbon futures price forecast…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…A Multi-Horizon Quantile Recurrent Forecaster (2017)A Multi-Horizon Quantile Recu…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)Forecasting principles and practice (2018)Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)On Persistence in Mutual Fund Performance (1997)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Conditional Time Series Forecasting with Convolutional Neural Networks (2017)Forecasting Using Principal Components From a Large Number of Predictors (2002)Another look at measures of forecast accuracy (2006)The Effect of Word of Mouth on Sales: Online Book Reviews (2006)Application of Artificial Intelligence in Automation of Supply Chain Management (2019)M5 accuracy competition: Results, findings, and conclusions (2022)Automatic Time Series Forecasting: The forecast Package for R (2008)Book Review: Time Series Analysis: Forecasting and Control (1977)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Deep Learning for Time Series Forecasting: Tutorial and Literature Survey (2022)Forecast evaluation for data scientists: common pitfalls and best practices (2022)An Experimental Application of the DELPHI Method to the Use of Experts (1963)Designing Complex Organizations (1973)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Applications of artificial intelligence and machine learning within supply chains:systematic review and future research directions (2021)AI-Driven Supply Chain Transformation in Industry 5.0: Enhancing Resilience and Sustainability (2024)Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions (2024)Fuzzy sets (1965)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)Forecast combinations: An over 50-year review (2022)Comparing Predictive Accuracy (1994)A Simple Approximate Long-Memory Model of Realized Volatility (2008)Empirical Asset Pricing via Machine Learning (2020)Machine learning-based time series models for effective CO2 emission prediction in India (2022)Machine learning sentiment analysis, COVID-19 news and stock market reactions (2023)Data-driven stock forecasting models based on neural networks: A review (2024)A Global Measure of Perceived Stress (1983)The PHQ-9 (2001)A Brief Measure for Assessing Generalized Anxiety Disorder (2006)Is Covid‐19 changing sustainable consumer behavior? A survey of Italian consumers (2022)The Impact of Scarcity on Consumers’ Impulse Buying Based on the S-O-R Theory (2022)Factors Influencing Consumer Behavior towards Online Shopping in Saudi Arabia Amid COVID-19: Implications for E-Businesses Post Pandemic (2023)
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References

  • 2017Deep learning with long short-term memory networks for financial market predictions3,010 cited
  • 2019DeepAR: Probabilistic forecasting with autoregressive recurrent networks2,851 cited
  • 2020Recurrent Neural Networks for Time Series Forecasting: Current status and future directions1,429 cited
  • 2019N-BEATS: Neural basis expansion analysis for interpretable time series forecasting1,149 cited
  • 2022Forecasting: theory and practice1,041 cited
  • 2021Machine learning advances for time series forecasting545 cited
  • 2019Retail forecasting: Research and practice470 cited
  • 2020Machine learning demand forecasting and supply chain performance377 cited
  • 2021Psychological factors and consumer behavior during the COVID-19 pandemic312 cited
  • 2017A Multi-Horizon Quantile Recurrent Forecaster272 cited
  • 2020Daily retail demand forecasting using machine learning with emphasis on calendric special days176 cited
  • 2019Carbon futures price forecasting based with ARIMA-CNN-LSTM model137 cited
  • 2022Using machine learning as a surrogate model for agent-based simulations136 cited
  • 2021Forecasting Indonesia Exports using a Hybrid Model ARIMA-LSTM135 cited
  • 2021What Have We Learned about the Effects of the COVID-19 Pandemic on Consumer Behavior?

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122 cited
  • 2021Sharing and Sustainable Consumption in the Era of COVID-19121 cited
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