Multi-source domain adaptation of social media data for disaster management-Reference-Cited by-同舟云学术

Multi-source domain adaptation of social media data for disaster management

Published:2022-07-20 Issue:6 Volume:82 Page:9083-9111
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Khattar Anuradha^ORCID,Quadri S. M. K.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-13456-0.pdf

Reference58 articles.

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2. Alam F, Joty S, Imran M (2018) Domain adaptation with adversarial training and graph Embeddings. In: Proceedings of the 56th annual meeting of the Association for Computational Linguistics (volume 1: long papers). Association for Computational Linguistics, Stroudsburg, pp 1077–1087

3. Alam F, Joty S, Imran M (2018) Graph based semi-supervised learning with convolution neural networks to classify crisis related tweets. 12th Int AAAI Conf web Soc media. ICWSM 2018:556–559

4. Alam F, Ofli F, Imran M (2018) CrisisMMD: multimodal twitter datasets from natural disasters. In: 12th Int. AAAI Conf. Web Soc. Media, ICWSM 2018. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM18/paper/view/17816/17038

5. Ben-David S, Blitzer J, Crammer K, Kulesza A, Pereira F, Vaughan JW (2010) A theory of learning from different domains. Mach Learn 79:151–175. https://doi.org/10.1007/s10994-009-5152-4

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