A cognitively inspired feature-level fusion framework for interpretable retail sales forecasting using integration of extreme gradient boost machine, artificial neural network and attention mechanism model
- DOI
- 10.3389/fdata.2026.1889044
- Published
- 2026-08-20
- Container
- Frontiers in Big Data
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fdata.2026.1889044,
title = {A cognitively inspired feature-level fusion framework for interpretable retail sales forecasting using integration of extreme gradient boost machine, artificial neural network and attention mechanism model},
author = {Munienge Mbodila and Omobayo Ayokunle Esan},
year = {2026},
journal = {Frontiers in Big Data},
doi = {10.3389/fdata.2026.1889044},
url = {https://doi.org/10.3389/fdata.2026.1889044}
}RIS
TY - JOUR TI - A cognitively inspired feature-level fusion framework for interpretable retail sales forecasting using integration of extreme gradient boost machine, artificial neural network and attention mechanism model AU - Munienge Mbodila AU - Omobayo Ayokunle Esan PY - 2026 JO - Frontiers in Big Data DO - 10.3389/fdata.2026.1889044 UR - https://doi.org/10.3389/fdata.2026.1889044 ER -
APA
Mbodila, M., & Esan, O. A. (2026). A cognitively inspired feature-level fusion framework for interpretable retail sales forecasting using integration of extreme gradient boost machine, artificial neural network and attention mechanism model. Frontiers in Big Data. https://doi.org/10.3389/fdata.2026.1889044
Source records
- crossref · retrieved 2026-09-25T04:03:18.281Z