A Bi-Stream hybrid model with MLPBlocks and self-attention mechanism for EEG-based emotion recognition
Due to the instability and complex distribution of electroencephalography (EEG) signals and
the great cross-subject variations, exploiting valuable and discriminative emotional …
the great cross-subject variations, exploiting valuable and discriminative emotional …
A flat-hierarchical approach based on machine learning model for e-commerce product classification
H Cotacallapa, N Saboya, PC Rodrigues… - IEEE …, 2024 - ieeexplore.ieee.org
Within the e-commerce sphere, optimizing the product classification process assumes
pivotal importance, owing to its direct influence on operational efficiency and profitability. In …
pivotal importance, owing to its direct influence on operational efficiency and profitability. In …
Multimodal fine-grained grocery product recognition using image and OCR text
Automatic recognition of grocery products can be used to improve customer flow at
checkouts and reduce labor costs and store losses. Product recognition is, however, a …
checkouts and reduce labor costs and store losses. Product recognition is, however, a …
[PDF][PDF] Biomedical Multimodal Explanations-Increasing Diversity and Complementarity in Explainable Artificial Intelligence
DBM da Mata - 2022 - repositorio-aberto.up.pt
Over the past few years, Deep Learning approaches have been the" gold standard" for a
myriad of tasks and applications both in research and in various industries. This is mainly …
myriad of tasks and applications both in research and in various industries. This is mainly …
[PDF][PDF] Multimodal Classification in E-Commerce: A Systematic
K Mehta, Y Maroo, P Khare, R Lele - 2022 - easychair.org
The 21st century is the Internet's era of big data. E-commerce has evolved swiftly, and online
shopping has become prevalent. E-commerce platforms, including Amazon, and eBay are …
shopping has become prevalent. E-commerce platforms, including Amazon, and eBay are …