Chapter: A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News

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Home > Intelligent Systems: 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part II > A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News

Intelligent Systems: 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part II |

André Britto; Karina Valdivia Delgado

Springer International Publishing

Intelligent Systems: 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part II

A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News

Chapter Info

Authors

Mariana C. de Souza; Bruno M. Nogueira; Rafael G. Rossi; Ricardo M. Marcacini; Solange O. Rezende

ARI Id

1665352643174_6054256

Access

Not Available Free

Pages

3-18

DOI

10.1007/978-3-030-91699-2_1

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-91699-2_1

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