Paul D. Yoo

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 46

Top Topics

Intrusion Detection

Protein Function

Feature Selection

Top Venues

IEEE Trans. Inf. Forensics Secur.

IEEE Trans. Sustain. Comput.

Publications

Kamal Taha, Paul D. Yoo, Chan Yeob Yeun, Dirar Homouz, Aya Taha
A comprehensive survey of text classification techniques and their research applications: Observational and experimental insights. Comput. Sci. Rev. 54 (2024)
Stephanie Wenxin Liu, Michael Fischer, Paul D. Yoo, Tobias Ritschel
Neural Bounding. SIGGRAPH (Conference Paper Track) (2024)
Kamal Taha, Paul D. Yoo, Yousof Al-Hammadi, Sami Muhaidat, Chan Yeob Yeun
Learning a deep-feature clustering model for gait-based individual identification. Comput. Secur. 136 (2024)
Kamal Taha, Paul D. Yoo, Chan Yeob Yeun, Aya Taha
Text Classification: A Review, Empirical, and Experimental Evaluation. CoRR (2024)
Kamal Taha, Paul D. Yoo, Aya Taha
Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey. CoRR (2024)
Dilara T. Uysal, Shimaa Naser, Zaid Almahmoud, Sami Muhaidat, Paul D. Yoo
A Visual Analytics Framework for Explainable Malware Detection in Edge Computing Networks. GLOBECOM (2023)
Paul D. Yoo, Zahir Tari
Editorial Sustainable Defence and Security Systems. IEEE Trans. Sustain. Comput. 8 (4) (2023)
Wenxin Liu, Michael Fischer, Paul D. Yoo, Tobias Ritschel
Neural Bounding. CoRR (2023)
Alberto Matuozzo, Paul D. Yoo, Alessandro Provetti
A right kind of wrong: European equity market forecasting with custom feature engineering and loss functions. Expert Syst. Appl. 223 (2023)
Alberto Matuozzo, Paul D. Yoo, Alessandro Provett, Maria H. Kim
Machine Learning Methods for Equity Time Series Forecasting: A Compendium. AMLTS (2022)
Kamal Taha, Paul D. Yoo, Fatima Zohra Eddinari, Siniya Nedunkulathil
Inferring the densest multi-profiled cross-community for a user. Knowl. Based Syst. 237 (2022)
Ahmed Y. Al Hammadi, Chan Yeob Yeun, Ernesto Damiani, Paul D. Yoo, Jiankun Hu, Hyun Ku Yeun, Man-Sung Yim
Explainable artificial intelligence to evaluate industrial internal security using EEG signals in IoT framework. Ad Hoc Networks 123 (2021)
Paul D. Yoo, Zahir Tari
Editorial: Sustainable Information Security and Forensic Computing. IEEE Trans. Sustain. Comput. 6 (1) (2021)
Ebrahim Al Alkeem, Chan Yeob Yeun, Jaewoong Yun, Paul D. Yoo, Myungsu Chae, Arafatur Rahman, A. Taufiq Asyhari
Robust Deep Identification using ECG and Multimodal Biometrics for Industrial Internet of Things. Ad Hoc Networks 121 (2021)
Meiling Li, Bassant Selim, Sami Muhaidat, Paschalis C. Sofotasios, Mehrdad Dianati, Paul D. Yoo, Jie Liang, Anhong Wang
Effects of Residual Hardware Impairments on Secure NOMA-Based Cooperative Systems. IEEE Access 8 (2020)
Seo Jin Lee, Paul D. Yoo, A. Taufiq Asyhari, Yoonchan Jhi, Lounis Chermak, Chan Yeob Yeun, Kamal Taha
IMPACT: Impersonation Attack Detection via Edge Computing Using Deep Autoencoder and Feature Abstraction. IEEE Access 8 (2020)
Meiling Li, Omar Alhussein, Paschalis C. Sofotasios, Sami Muhaidat, Paul D. Yoo, Jie Liang, Anhong Wang
Censor-Based Cooperative Multi-Antenna Spectrum Sensing with Imperfect Reporting Channels. IEEE Trans. Sustain. Comput. 5 (1) (2020)
Kamal Taha, Paul D. Yoo
An Effective Disease Risk Indicator Tool. EMBC (2020)
Song-Kyoo Kim, Chan Yeob Yeun, Paul D. Yoo, Nai-Wei Lo, Ernesto Damiani
Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms. CoRR (2020)
Fatema Rashed Almehrezi, Chan Yeob Yeun, Paul D. Yoo, Ernesto Damiani, Yousef Y. Al Hammadi, Hyun Ku Yeun
An Emerging Security Framework for Connected Autonomous Vehicles. BESC (2020)
Ahmed Y. Al Hammadi, Dongkun Lee, Chan Yeob Yeun, Ernesto Damiani, Song-Kyoo Kim, Paul D. Yoo, Ho-Jin Choi
Novel EEG Sensor-Based Risk Framework for the Detection of Insider Threats in Safety Critical Industrial Infrastructure. IEEE Access 8 (2020)
Ioannis Tsimperidis, Paul D. Yoo, Kamal Taha, Alexios Mylonas, Vasilis Katos
BN: An Adaptive Model for Keystroke-Dynamics-Based Educational Level Classification. IEEE Trans. Cybern. 50 (2) (2020)
Omar Alhussein, Paul D. Yoo, Sami Muhaidat, Jie Liang
Semiparametric Subsampling and Data Condensation for Large-Scale Data Analytics. CCECE (2019)
Ebrahim Al Alkeem, Song-Kyoo Kim, Chan Yeob Yeun, M. Jamal Zemerly, Kin Fai Poon, Paul D. Yoo
An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning. CoRR (2019)
Huda S. Goian, Omar Y. Al-Jarrah, Sami Muhaidat, Yousof Al-Hammadi, Paul D. Yoo, Mehrdad Dianati
Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey. IEEE Access 7 (2019)
Kamal Taha, Paul D. Yoo
Detecting Overlapping Communities of Nodes with Multiple Attributes from Heterogeneous Networks. CollaborateCom (2019)
Meiling Li, Bassant Selim, Sami Muhaidat, Paschalis C. Sofotasios, Paul D. Yoo, Jie Liang, Anhong Wang
Residual Hardware Impairments on Secure NOMA-Based Relay Systems. WPMC (2019)
Kamal Taha, Paul D. Yoo
Shortlisting the Influential Members of Criminal Organizations and Identifying Their Important Communication Channels. IEEE Trans. Inf. Forensics Secur. 14 (8) (2019)
Meiling Li, Omar Alhussein, Paschalis C. Sofotasios, Sami Muhaidat, Paul D. Yoo, Jie Liang, Anhong Wang
Censor-Based Multi-Antenna Cooperative Spectrum Sensing over Erroneous Feedback Channels. WCNC (2019)
Amang Kim, Paul D. Yoo
An Enhanced Machine Learning Based Biometric Authentication System Using RR-Interval Framed Electrocardiograms. CoRR (2019)
Song-Kyoo Kim, Chan Yeob Yeun, Paul D. Yoo
An Enhanced Machine Learning-Based Biometric Authentication System Using RR-Interval Framed Electrocardiograms. IEEE Access 7 (2019)
Luke R. Parker, Paul D. Yoo, A. Taufiq Asyhari, Lounis Chermak, Yoonchan Jhi, Kamal Taha
DEMISe: Interpretable Deep Extraction and Mutual Information Selection Techniques for IoT Intrusion Detection. ARES (2019)
Ebrahim Al Alkeem, Song-Kyoo Kim, Chan Yeob Yeun, Mohamed Jamal Zemerly, Kin Fai Poon, Gabriele Gianini, Paul D. Yoo
An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning. IEEE Access 7 (2019)
Muhamad Erza Aminanto, Rakyong Choi, Harry Chandra Tanuwidjaja, Paul D. Yoo, Kwangjo Kim
Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection. IEEE Trans. Inf. Forensics Secur. 13 (3) (2018)
Kamal Taha, Paul D. Yoo
A Forensic System for Identifying the Suspects of a Crime with No Solid Material Evidences. DASC/PiCom/DataCom/CyberSciTech (2018)
Omar Y. Al-Jarrah, Yousof Al-Hammadi, Paul D. Yoo, Sami Muhaidat, Mahmoud Al-Qutayri
Semi-supervised multi-layered clustering model for intrusion detection. Digit. Commun. Networks 4 (4) (2018)
Antonia Nisioti, Alexios Mylonas, Paul D. Yoo, Vasilios Katos
From Intrusion Detection to Attacker Attribution: A Comprehensive Survey of Unsupervised Methods. IEEE Commun. Surv. Tutorials 20 (4) (2018)
Muhamad Erza Aminanto, Harry Chandra Tanuwidjaja, Paul D. Yoo, Kwangjo Kim
Wi-Fi intrusion detection using weighted-feature selection for neural networks classifier. IWBIS (2017)
Omar Y. Al-Jarrah, Yousof Al-Hammadi, Paul D. Yoo, Sami Muhaidat
Multi-Layered Clustering for Power Consumption Profiling in Smart Grids. IEEE Access 5 (2017)
Kamal Taha, Paul D. Yoo
Using the Spanning Tree of a Criminal Network for Identifying Its Leaders. IEEE Trans. Inf. Forensics Secur. 12 (2) (2017)
Antonia Nisioti, Alexios Mylonas, Vasilios Katos, Paul D. Yoo, Anargyros Chryssanthou
You can run but you cannot hide from memory: Extracting IM evidence of Android apps. ISCC (2017)
Kamal Taha, Paul D. Yoo
SIIMCO: A Forensic Investigation Tool for Identifying the Influential Members of a Criminal Organization. IEEE Trans. Inf. Forensics Secur. 11 (4) (2016)
Omar Y. Al-Jarrah, Omar Alhussein, Paul D. Yoo, Sami Muhaidat, Kamal Taha, Kwangjo Kim
Data Randomization and Cluster-Based Partitioning for Botnet Intrusion Detection. IEEE Trans. Cybern. 46 (8) (2016)
Maryam R. Al-Shehhi, Benjamin Hirsch, Kamal Taha, Marcello Leida, Paul D. Yoo
A Knowledge Base Visual Analytics Technique for Semantic Web. ICSC (2016)
Kamal Taha, Paul D. Yoo
Erratum to: Predicting the functions of a protein from its ability to associate with other molecules. BMC Bioinform. 17 (2016)
Kamal Taha, Paul D. Yoo
Predicting the functions of a protein from its ability to associate with other molecules. BMC Bioinform. 17 (2016)
Kamal Taha, Paul D. Yoo
Predicting protein function from biomedical text. EMBC (2015)
Kamal Taha, Paul D. Yoo
An information extraction system for protein function prediction. CIBCB (2015)
O. Y. Al-Jarrah, Paul D. Yoo, Sami Muhaidat, George K. Karagiannidis, Kamal Taha
Efficient Machine Learning for Big Data: A Review. CoRR (2015)
Kamal Taha, Paul D. Yoo, Mohammed Al Zaabi
iPFPi: A System for Improving Protein Function Prediction through Cumulative Iterations. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (4) (2015)
Fatima Adly, Omar Alhussein, Paul D. Yoo, Yousof Al-Hammadi, Kamal Taha, Sami Muhaidat, Young-Seon Jeong, Uihyoung Lee, Mohammed Ismail
Simplified Subspaced Regression Network for Identification of Defect Patterns in Semiconductor Wafer Maps. IEEE Trans. Ind. Informatics 11 (6) (2015)
Omar Y. Al-Jarrah, Paul D. Yoo, Kamal Taha, Sami Muhaidat, Abdallah Shami, Nazar Zaki
Randomized Subspace Learning for Proline Cis-Trans Isomerization Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (4) (2015)
Omar Y. Al-Jarrah, Paul D. Yoo, Sami Muhaidat, George K. Karagiannidis, Kamal Taha
Efficient Machine Learning for Big Data: A Review. Big Data Res. 2 (3) (2015)
Kamal Taha, Paul D. Yoo
A System for Analyzing Criminal Social Networks. ASONAM (2015)
Omar Altrad, Sami Muhaidat, Paul D. Yoo
Doppler frequency estimation-based handover algorithm for long-term evolution networks. IET Networks 3 (2) (2014)
Fatima Adly, Paul D. Yoo, Sami Muhaidat, Yousof Al-Hammadi
Machine-Learning-Based Identification of Defect Patterns in Semiconductor Wafer Maps: An Overview and Proposal. IPDPS Workshops (2014)
Pengyi Yang, Paul D. Yoo, Juanita I. Fernando, Bing Bing Zhou, Zili Zhang, Albert Y. Zomaya
Sample Subset Optimization Techniques for Imbalanced and Ensemble Learning Problems in Bioinformatics Applications. IEEE Trans. Cybern. 44 (3) (2014)
Kamal Taha, Paul D. Yoo
Inferring the relationships among genes from weighted GO graph. CIBCB (2014)
Omar Alhussein, Sami Muhaidat, Jie Liang, Paul D. Yoo
A unified approach for representing wireless channels using EM-based finite mixture of gamma distributions. GLOBECOM Workshops (2014)
O. Y. Al-Jarrah, Amna Siddiqui, M. Elsalamouny, Paul D. Yoo, Sami Muhaidat, Kwangjo Kim
Machine-Learning-Based Feature Selection Techniques for Large-Scale Network Intrusion Detection. ICDCS Workshops (2014)
Omar Altrad, Sami Muhaidat, Arafat Al-Dweik, Abdallah Shami, Paul D. Yoo
Opportunistic Spectrum Access in Cognitive Radio Networks Under Imperfect Spectrum Sensing. IEEE Trans. Veh. Technol. 63 (2) (2014)
Maad Shatnawi, Nazar Zaki, Paul D. Yoo
Protein inter-domain linker prediction using Random Forest and amino acid physiochemical properties. BMC Bioinform. 15 (S-16) (2014)
Paul D. Yoo, Sami Muhaidat, Kamal Taha, Jamal Bentahar, Abdallah Shami
Intelligent Consensus Modeling for ProlineCis-Trans Isomerization Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (1) (2014)
Maryam R. Al-Shehhi, Marcello Leida, Benjamin Hirsch, Paul D. Yoo, Kamal Taha
Visual Analytics in the web of data. ICECS (2013)
Paul D. Yoo, Albert Y. Zomaya
Combining analytic kernel models for energy-efficient data modeling and classification. J. Supercomput. 63 (3) (2013)
Paul D. Yoo, Albert Y. Zomaya, Khalfan Alromaithi, Sara Alshamsi
Tree-Based Consensus Model for Proline Cis-Trans Isomerization Prediction. IPDPS Workshops (2013)
Paul D. Yoo, Jason W. P. Ng, Albert Y. Zomaya
An Energy-Efficient Kernel Framework for Large-Scale Data Modeling and Classification. IPDPS Workshops (2011)
Jason W. P. Ng, Nader Azarmi, Marcello Leida, Fabrice Saffre, Ali Afzal, Paul D. Yoo
The Intelligent Campus (iCampus): End-to-End Learning Lifecycle of a Knowledge Ecosystem. Intelligent Environments (2010)
Paul D. Yoo, Abdur R. Sikder, Bing Bing Zhou, Albert Y. Zomaya
Improved general regression network for protein domain boundary prediction. BMC Bioinform. 9 (S-1) (2008)
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert Y. Zomaya
SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles. BMC Bioinform. 9 (2008)
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert Y. Zomaya
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction. IPDPS (2008)
Paul D. Yoo, Bing Bing Zhou, Albert Y. Zomaya
Machine Intelligence in Protein Sequence Analysis and Structure Prediction. BIOCOMP (2007)
Paul D. Yoo, Maria H. Kim, Tony Jan
Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation. CIMCA/IAWTIC (2005)