Big Data - Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques

24 July 2023

Papers citing "Big Data - Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques"

7 / 7 papers shown

Title
QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum-Classical Neural Network Md Abrar Jahin Md Sakib Hossain Shovon M. Islam Jungpil Shin M. F. Mridha Y. Okuyama GNN 40 18 0 24 Jul 2023
Boosted Embeddings for Time Series Forecasting Sankeerth Rao Karingula Nandini Ramanan Rasool Tahsambi Mehrnaz Amjadi Deokwoo Jung Ricky Si Charanraj Thimmisetty Luisa Polania Cabrera Marjorie Sayer C. Coelho AI4TS 49 15 0 10 Apr 2021
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML Indrajeet Javeri Mohammadhossein Toutiaee I. Arpinar Tom W. Miller John A. Miller AI4TS 44 17 0 02 Mar 2021
A multi-series framework for demand forecasts in E-commerce Rémy Garnier A. Bellétoile AI4TS 67 2 0 31 May 2019
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 201 1,096 0 04 Jul 2018
A Hierarchical Graphical Model for Record Linkage Pradeep Ravikumar William W. Cohen CML 125 120 0 12 Jul 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 353 7,936 0 13 Jun 2012