Items where Author is "Zebin, Tahmina"
Up a levelArticle
Zebin, Tahmina, Rezvy, Shahadate and Luo, Yuan (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 (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.
Book Section
Zebin, Tahmina, Rezvy, Shahadate 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, Petridis, Miltos, Lasebae, Aboubaker and Zebin, Tahmina (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, 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
Razvy, Shahadate, Akther, Tasnim and Zebin, Tahmina (2024) Building energy use predictions using machine learning methods. In: BNU Research and Enterprise Conference: Empowerment through Research: Bridging Academia and Society, 3rd July 2024, Buckinghamshire New University.
Rezvy, Shahadate, 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.