Article

Zebin, Tahmina ORCID: https://orcid.org/0000-0003-0437-0570, Rezvy, Shahadate ORCID: https://orcid.org/0000-0002-2684-7117 and Luo, Yuan ORCID: https://orcid.org/0000-0002-9812-5543 (2022) An Explainable AI-Based Intrusion Detection System for DNS Over HTTPS (DoH) Attacks. IEEE Transactions on Information Forensics and Security, 17. pp. 2339-2349.

Zebin, Tahmina and Rezvy, Shahadate ORCID: https://orcid.org/0000-0002-2684-7117 (2020) COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization. Applied Intelligence, 51. pp. 1010-1021.

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Zebin, Tahmina, Rezvy, Shahadate ORCID: https://orcid.org/0000-0002-2684-7117 and Chaussalet, Thierry J. (2019) A deep learning approach for length of stay prediction in clinical settings from medical records. In: 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, pp. 1-5

Rezvy, Shahadate ORCID: https://orcid.org/0000-0002-2684-7117, Petridis, Miltos ORCID: https://orcid.org/0000-0003-1275-1023, Lasebae, Aboubaker ORCID: https://orcid.org/0000-0003-2312-9694 and Zebin, Tahmina ORCID: https://orcid.org/0000-0003-0437-0570 (2019) Intrusion Detection and Classification with Autoencoded Deep Neural Network. In: Innovative Security Solutions for Information Technology and Communications. Lecture Notes in Computer Science, 11359 . Springer, pp. 142-156

Rezvy, Shahadate ORCID: https://orcid.org/0000-0002-2684-7117, Luo, Yuan, Petridis, Miltos, Lasebae, Aboubaker and Zebin, Tahmina (2019) An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks. In: 2019 53rd Annual Conference on Information Sciences and Systems, CISS. Institute of Electrical and Electronics Engineers

Conference or Workshop Item

Rezvy, Shahadate ORCID: https://orcid.org/0000-0002-2684-7117, Zebin, Tahmina, Braden, Barbara, Pang, Wei, Taylor, Stephen and Gao, Xiaohong W. (2020) Transfer learning for Endoscopy disease detection and segmentation with mask-RCNN benchmark architecture. In: 2nd International Workshop and Challenge on Computer Vision in Endoscopy 2020, 3 Apr 2020, Iowa City, United States.