A Deep Attentive Multimodal Learning Approach for Disaster Identification From Social Media Posts-Reference-Cited by-同舟云学术

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A Deep Attentive Multimodal Learning Approach for Disaster Identification From Social Media Posts

Published:2022 Issue: Volume:10 Page:46538-46551
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hossain Eftekhar¹^ORCID,Hoque Mohammed Moshiul²^ORCID,Hoque Enamul³^ORCID,Islam Md. Saiful¹^ORCID

Affiliation:

1. Department of Electronics and Telecommunication Engineering, Chittagong University of Engineering and Technology, Chattogram, Bangladesh

2. Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chattogram, Bangladesh

3. School of Information Technology, York University, Toronto, ON, Canada

Funder

Natural Sciences and Engineering Research Council (NSERC), Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09764741.pdf?arnumber=9764741

Reference63 articles.

1. Transfer Learning

2. Early vs Late Fusion in Multimodal Convolutional Neural Networks

3. Deep multimodal fusion for persuasiveness prediction

4. Image Classification to Support Emergency Situation Awareness

5. Mining and classifying image posts on social media to analyse fires;daly;Proc ISCRAM,2016

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1. Navigating the Multimodal Landscape: A Review on Integration of Text and Image Data in Machine Learning Architectures;Machine Learning and Knowledge Extraction;2024-07-09

2. Contrastive Learning for Multimodal Classification of Crisis related Tweets;Proceedings of the ACM Web Conference 2024;2024-05-13

3. Building Multimodal Knowledge Bases With Multimodal Computational Sequences and Generative Adversarial Networks;IEEE Transactions on Multimedia;2024

4. Natural Language Processing for Infrastructure Resilience to Natural Disasters: A Scientometric Review;Lecture Notes in Civil Engineering;2024

5. Multimodal Classifier for Disaster Response;Communications in Computer and Information Science;2023-12-23

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