Multimodal Neuroimaging Game Theoretic Data Fusion in Adversarial Conditions-Reference-Cited by-同舟云学术

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Multimodal Neuroimaging Game Theoretic Data Fusion in Adversarial Conditions

Published:2020-10-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Research in Adaptive and Convergent Systems
language:
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Author:

Esposito Christian¹,Tamburis Oscar²,Choi Chang³

Affiliation:

1. Department of Computer Science, University of Salerno, Fisciano (SA), Italy

2. Department of Veterinary Medicine and Animal Productions (DMVPA), University of Naples Federico II, Napoli, Italy

3. Department of Computer Engineering, Gachon University, Gyeongi-do, Republic of Korea

Funder

National Research Foundation of Korea

Korean Ministry of Science and ICT

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3400286.3418269

Reference34 articles.

1. An EEG-fMRI Fusion Analysis Based on Symmetric Techniques Using Dempster Shafer Theory

2. Feature selection using Joint Mutual Information Maximisation

3. Multimodal Fusion of Brain Imaging Data: A Key to Finding the Missing Link(s) in Complex Mental Illness

4. Fuzzy aggregation operators in decision making with Dempster–Shafer belief structure

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