NMNet: Spatial-Temporal Transformer for EEG Signal Analysis in Neuromarketing-Reference-Cited by-同舟云学术

NMNet: Spatial-Temporal Transformer for EEG Signal Analysis in Neuromarketing

Published:2024-01-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)
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Author:

Upadhyay Abhinav¹^ORCID,Dubey Alpana¹^ORCID,Goenka Piyush¹^ORCID,Kuriakose Suma Mani¹^ORCID

Affiliation:

1. Accenture Labs, Bangalore, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3632410.3632472

Reference14 articles.

1. Deep Learning for EEG-Based Preference Classification in Neuromarketing

2. ViViT: A Video Vision Transformer

3. Filip Filipović , Luka Baljak , Tamara Naumović , Aleksandra Labus , and Zorica Bogdanović . 2019. Developing a web application for recognizing emotions in neuromarketing . In Marketing and smart technologies: proceedings of ICMarkTech 2019 . Springer , 297–308. Filip Filipović, Luka Baljak, Tamara Naumović, Aleksandra Labus, and Zorica Bogdanović. 2019. Developing a web application for recognizing emotions in neuromarketing. In Marketing and smart technologies: proceedings of ICMarkTech 2019. Springer, 297–308.

4. Parnaz Golnar-Nik , Sajjad Farashi , and Mir-Shahram Safari . 2019. The application of EEG power for the prediction and interpretation of consumer decision-making: A neuromarketing study. Physiology & behavior 207 ( 2019 ), 90–98. Parnaz Golnar-Nik, Sajjad Farashi, and Mir-Shahram Safari. 2019. The application of EEG power for the prediction and interpretation of consumer decision-making: A neuromarketing study. Physiology & behavior 207 (2019), 90–98.

5. Discrimination of Customers Decision-Making in a Like/Dislike Shopping Activity Based on Genders: A Neuromarketing Study