A Machine Learning Method for Recognizing Invasive Content in Memes-Reference-Cited by-同舟云学术

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A Machine Learning Method for Recognizing Invasive Content in Memes

Published:2020 Issue: Volume: Page:195-213
ISSN:1865-0929
Container-title:Knowledge Graphs and Semantic Web
language:
Short-container-title:

Author:

Gaurav Devottam,Shandilya Shishir,Tiwari Sanju,Goyal Ayush

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-65384-2_15

Reference27 articles.

1. He, S., et al.: Ranking online memes in emergency events based on transfer entropy. In: IEEE Joint Intelligence and Security Informatics Conference 2014, pp. 236–239. IEEE (2014)

2. Bai, J., Li, L., Lu, L., Yang, Y., Zeng, D.: Real-time prediction of meme burst. In: 2017 IEEE International Conference on Intelligence and Security Informatics (ISI), pp. 167–169. IEEE (2017)

3. Adamic, L.A., Lento, T.M., Adar, E., Ng, P.C.: nformation evolution in social networks. In: roceedings of the Ninth ACM International Conference on Web Search and Data Mining, pp. 473–482 (2016)

4. Joseph, R.B., Lakshmi, M., Suresh, S., Sunder, R.: Innovative analysis of precision farming techniques with artificial intelligence. In: 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), pp. 353–358. IEEE (2020)

5. Jose, N., Chakravarthi, B.R., Suryawanshi, S., Sherly, E., McCrae, J.P.: A survey of current datasets for code-switching research. In: 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), pp. 136–141. IEEE (2020)

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1. MemeTector: enforcing deep focus for meme detection;International Journal of Multimedia Information Retrieval;2023-05-13

2. Interpretability Vs Explainability: The Black Box of Machine Learning;2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE);2023-02-16

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4. KG4ASTRA: question answering over Indian Missiles Knowledge Graph;Soft Computing;2021-09-30

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