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Deep Learning for Combating Misinformation in Multicategorical Text Contents.

, , , , , and . Sensors, 23 (24): 9666 (December 2023)

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Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection., , , and . Complex., (2019)Detection of Cyberattacks Traces in IoT Data., , , and . J. Univers. Comput. Sci., 26 (11): 1422-1434 (2020)Common Representational Model and Ontologies for Effective Law Enforcement Solutions., , , , , , , , , and 2 other author(s). Vietnam. J. Comput. Sci., 7 (1): 1-18 (2020)Sensors and Pattern Recognition Methods for Security and Industrial Applications., , and . Sensors, 22 (16): 5968 (2022)A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection., , , and . Sensors, 20 (16): 4583 (2020)Network Intrusion Detection in the Wild - the Orange use case in the SIMARGL project., , , , , and . ARES, page 65:1-65:7. ACM, (2021)Towards Deployment Shift Inhibition Through Transfer Learning in Network Intrusion Detection., , and . ARES, page 58:1-58:6. ACM, (2022)How Explainable Is Explainability? Towards Better Metrics for Explainable AI., , , , and . RIIFORUM, page 685-695. Springer, (2023)The Identification and Creation of Ontologies for the Use in Law Enforcement AI Solutions - MAGNETO Platform Use Case., , , , , , , , , and 2 other author(s). ICCCI (2), volume 11684 of Lecture Notes in Computer Science, page 335-345. Springer, (2019)The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data., , , , and . ICCCI (CCIS Volume), volume 1463 of Communications in Computer and Information Science, page 241-252. Springer, (2021)