Browse by Person

Number of items: 19.

2005

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.

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.

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.

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.

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 (Unpublished)

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)

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.

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.

Yoo, Paul and Tari, Z. (2023) Editorial: Sustainable defence and security systems. [Editorial/Introduction]

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.

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.

Liu, S.W. and Fischer, M. and Yoo, Paul and Ritschel, T. (2024) Neural bounding. ACM SIGGRAPH 2024 Conference ,

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.

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.

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.

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.

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