Fabricio Ceschin
Orcid: 0000-0001-6853-8083
According to our database1,
Fabricio Ceschin
authored at least 17 papers
between 2018 and 2024.
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Bibliography
2024
ANDROIDGYNY: Reviewing Clustering Techniques for Android Malware Family Classification.
DTRAP, 2024
2023
Expert Syst. Appl., 2023
People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation.
Proceedings of the Security and Privacy in Social Networks and Big Data, 2023
2022
Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles.
IEEE Trans. Biom. Behav. Identity Sci., 2022
2021
Understanding uses and misuses of similarity hashing functions for malware detection and family clustering in actual scenarios.
Digit. Investig., 2021
CoRR, 2021
TeamUFPR at IDPT 2021: Equalizing a Strategy Using Machine Learning for Two Types of Data in Detecting Irony.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021
Proceedings of the IEEE Symposium on Computers and Communications, 2021
2020
Predicting Misinformation and Engagement in COVID-19 Twitter Discourse in the First Months of the Outbreak.
CoRR, 2020
Comput. Secur., 2020
2019
Proceedings of the 14th International Symposium on Reconfigurable Communication-centric Systems-on-Chip, 2019
L(a)ying in (Test)Bed - How Biased Datasets Produce Impractical Results for Actual Malware Families' Classification.
Proceedings of the Information Security - 22nd International Conference, 2019
2018
IEEE Secur. Priv., 2018