Caitlin Moroney, Evan Crothers, Sudip Mittal, Anupam Joshi, Tülay Adali, Christine Mallinson, Nathalie Japkowicz, Zois Boukouvalas. The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19. In Carlos Soares, Luís Torgo, editors, Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings. Volume 12986 of Lecture Notes in Computer Science, pages 422-432, Springer, 2021. [doi]
@inproceedings{MoroneyCMJAMJB21,
title = {The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19},
author = {Caitlin Moroney and Evan Crothers and Sudip Mittal and Anupam Joshi and Tülay Adali and Christine Mallinson and Nathalie Japkowicz and Zois Boukouvalas},
year = {2021},
doi = {10.1007/978-3-030-88942-5_33},
url = {https://doi.org/10.1007/978-3-030-88942-5_33},
researchr = {https://researchr.org/publication/MoroneyCMJAMJB21},
cites = {0},
citedby = {0},
pages = {422-432},
booktitle = {Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings},
editor = {Carlos Soares and Luís Torgo},
volume = {12986},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-88942-5},
}