BIROn - Birkbeck Institutional Research Online
    Up a level
    Export as [feed] Atom [feed] RSS
    Number of items: 9.

    Article

    Taha, K. and Yoo, Paul and Eddinari, F.Z. and Nedunkulathil, S. (2021) Inferring the densest multi-profiled cross-community for a user. Knowledge-Based Systems , ISSN 0950-7051. (In Press)

    Taha, K. and Davuluri, R. and Yoo, Paul D. and Spencer, J. (2021) Personizing the prediction of future susceptibility to a specific disease. PLoS One , ISSN 1932-6203.

    Taha, K. and Yoo, Paul D. (2020) An effective disease risk indicator tool. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) , ISSN 2694-0604.

    Lee, S.J. and Yoo, Paul D. and Asyhari, T.A. and Jhi, Y. and Chermak, L. and Yeun, C.Y. and Taha, K. (2020) IMPACT: Impersonation attack detection via edge computing using deep autoencoder and feature abstraction. IEEE Access , ISSN 2169-3536. (In Press)

    Tsimperidis, I. and Yoo, Paul D. and Taha, K. and Mylonas, A. and Katos, V. (2018) R2BN: an adaptive model for keystroke-dynamics-based educational level classification. IEEE Transactions on Cybernetics , pp. 1-11. ISSN 2168-2267.

    Taha, K. and Yoo, Paul D. (2016) Using the spanning tree of a criminal network for identifying its leaders. IEEE Transactions on Information Forensics and Security 12 (2), pp. 445-453. ISSN 1556-6013.

    Al-Jarrah, O.Y. and Alhussein, O. and Yoo, Paul D. and Muhaidat, S. and Taha, K. and Kim, K. (2015) Data randomization and cluster-based partitioning for Botnet intrusion detection. IEEE Transactions on Cybernetics 46 (8), pp. 1796-1806. ISSN 2168-2267.

    Adly, F. and Alhussein, O. and Yoo, Paul D. and Al-Hammadi, Y. and Taha, K. and Muhaidat, S. and Jeong, Y.-S. and Lee, U. and Ismail, M. (2015) Simplified subspaced regression network for identification of defect patterns in semiconductor wafer maps. IEEE Transactions on Industrial Informatics 11 (6), pp. 1267-1276. ISSN 1551-3203.

    Book Section

    Parker, L. and Yoo, Paul D. and Asyhari, T. and Chermak, L. and Jhi, Y. and Taha, K. (2019) DEMISe: interpretable deep extraction and mutual information selection techniques for IoT intrusion detection. In: UNSPECIFIED (ed.) ARES '19 Proceedings of the 14th International Conference on Availability, Reliability and Security. ACM. ISBN 9781450371643.

    This list was generated on Sat Dec 4 05:53:23 2021 GMT.