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Article
Almahmoud, Zaid and Yoo, Paul and Damiani, E. and Choo, K.-K.R. and Yeun, C.Y. (2025) Forecasting cyber threats and pertinent mitigation technologies. Technological Forecasting and Social Change 210 , ISSN 0040-1625.
Taha, K. and Yoo, Paul and Yeun, C. and Homouz, D. and Taha, A. (2024) A comprehensive survey of text classification techniques and their research applications: observational and experimental insights. Computer Science Review 54 (100664), ISSN 1574-0137.
Han, Seongil and Jung, H. and Yoo, Paul and Provetti, Alessandro and Cali, Andrea (2024) NOTE: non-parametric oversampling technique for explainable credit scoring. Scientific Reports 14 (26070), ISSN 2045-2322.
Taha, K. and Yoo, Paul and Yeun, C. and Taha, A. (2024) Empirical and experimental perspectives on big data in recommendation systems: a comprehensive survey. Big Data Mining and Analytics 7 (3), pp. 964-1014. ISSN 2097-406X.
Awadallah, A. and Eledlebi, K. and Zemerly, J. and Puthal, P. and Damiani, E. and Taha, K. and Kim, T.-Y. and Yoo, Paul and Choo, K.-K.R. and Yim, M.-S. and Yeun, C.Y. (2024) Artificial Intelligence-based cybersecurity for the Metaverse: research challenges and opportunities. IEEE Communications Surveys & Tutorials , ISSN 1553-877X.
Liu, S.W. and Fischer, M. and Yoo, Paul and Ritschel, T. (2024) Neural bounding. ACM SIGGRAPH 2024 Conference ,
Taha, K. and Yoo, Paul and Al-Hammadi, Y. and Muhaidat, S. and Yeun, C.Y. (2023) Learning a deep-feature clustering model for gait-based individual identification. Computers and Security , ISSN 0167-4048.
Almahmoud, Zaid and Yoo, Paul and Alhussein, O. and Farhat, I. and Damiani, E. (2023) A holistic and proactive approach to forecasting cyber threats. Scientific Reports 13 (8049), ISSN 2045-2322.
Matuozzo, Alberto and Yoo, Paul and Provetti, Alessandro (2023) A right kind of wrong: European equity market forecasting with custom feature engineering and loss functions. Expert Systems with Applications , ISSN 0957-4174.
Uysal, Dilara and Yoo, Paul and Kamal, T. (2022) Data-driven malware detection for 6G networks: a survey from the perspective of continuous learning and explainability via visualisation. IEEE Open Journal of Vehicular Technology , ISSN 2644-1330.
Taha, K. and Yoo, Paul and Eddinari, F.Z. (2022) Detecting implicit cross-communities to which an active user belongs. PLoS One , ISSN 1932-6203.
Taha, K. and Yoo, Paul and Eddinari, F.Z. and Nedunkulathil, S. (2022) Inferring the densest multi-profiled cross-community for a user. Knowledge-Based Systems 237 (107681), ISSN 0950-7051.
Editorial/Introduction
Yoo, Paul and Tari, Z. (2023) Editorial: Sustainable defence and security systems. [Editorial/Introduction]
Yoo, Paul and Tari, Z. (2021) Sustainable information security and forensic computing. [Editorial/Introduction]
Book Section
Kim, S.-K. and Yeun, C.Y. and Yoo, Paul and Lo, N.-W. and Damiani, E. (2022) Deep learning-based arrhythmia detection using RR-Interval framed electrocardiograms. In: UNSPECIFIED (ed.) The 8th International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems. Springer. (In Press)
Yoo, Paul and Zhou, B.B. and Zomaya, A.Y. (2007) Machine intelligence in protein sequence analysis and structure prediction. In: Arabnia, H.R. and Yang, M.Q. and Yang, J.Y. (eds.) BIOCOMP 2007: International Conference on Bioinformatics & Computational Biology. CSREA Press, pp. 370-377.
Yoo, Paul and Kim, M.H. and Jan, T. (2005) Machine learning techniques and use of event information for stock market prediction: a survey and evaluation. In: UNSPECIFIED (ed.) CIMCA 2005: International Conference on Computational Intelligence for Modelling Control and Automation. IEEE Computer Society, pp. 835-841. ISBN 9780769525040.
Conference or Workshop Item
Uysal, Dilara and Naser, S. and Almahmoud, Zaid and Muhaidat, S. and Yoo, Paul (2024) A visual analytics framework for explainable malware detection in Edge computing networks. In: GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 4-8 Dec 2023, Kuala Lumpur, Malaysia.
Matuozzo, Alberto and Yoo, Paul and Provetti, Alessandro and Kim, Maria (2022) Machine learning methods for Equity Time Series forecasting: a compendium. In: 31st ACM International Conference on Information and Knowledge Management, Oct 17-21 2022, Atlanta, U.S.. (Unpublished)