Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: General Sales Forecast Models for Automobile Markets and their Analysis
A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods
Forecasting of Commercial Sales with Large Scale Gaussian Processes
Decision Support for the Automotive Industry: Forecasting Residual Values using Artificial Neural Networks
Ensemble Sales Forecasting Study in Semiconductor Industry
Machine learning or discrete choice models for car ownership demand estimation and prediction?
Sales forecasting system based on Gray extreme learning machine with Taguchi method in retail industry
Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks
A survey on forecasting of time series data
Sales forecasting using extreme learning machine with applications in fashion retailing
Demand forecasting and inventory control: A simulation study on automotive spare parts
Sufficient Forecasting Using Factor Models
An intelligent sales forecasting system through integration of artificial neural networks and fuzzy neural networks with fuzzy weight elimination.
Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra- and inter-category promotional information
Sales Forecasting for Retail Chains
Multiple Forecasting Algorithms for Demand Forecasting in the Fashion Industry
Explaining machine learning models in sales predictions
Statistical and Machine Learning forecasting methods: Concerns and ways forward
Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming
APPLYING MACHINE LEARNING METHODS FOR TIME SERIES FORECASTING
A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods
Smart Manufacturing Execution System (SMES): The Possibilities of Evaluating the Sustainability of a Production Process
quantile and probability curves without crossing .
Automated NOTAM processing for a graphical and textual integration on data link equipped aircraft
Gaussian mixture models for affordance learning using Bayesian Networks
A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models