Paul D. Yoo

发表

Deep-Structured Machine Learning Model for the Recognition of Mixed-Defect Patterns in Semiconductor Fabrication Processes

Ghalia Tello, Omar Y. Al-Jarrah, Paul D. Yoo, 2018, IEEE Transactions on Semiconductor Manufacturing.

Scalable P2P Botnet Detection with Threshold Setting in Hadoop Framework

Kwangjo Kim, Paul D. Yoo, Khalid Huseynov, 2015, Journal of the Korea Institute of Information Security and Cryptology.

Censor-Based Cooperative Multi-Antenna Spectrum Sensing with Imperfect Reporting Channels

Paschalis C. Sofotasios, Paul D. Yoo, Sami Muhaidat, 2020, IEEE Transactions on Sustainable Computing.

An Effective Disease Risk Indicator Tool

Paul D. Yoo, Kamal Taha, Paul Yoo, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Sample Subset Optimization Techniques for Imbalanced and Ensemble Learning Problems in Bioinformatics Applications

Zili Zhang, Albert Y. Zomaya, Paul D. Yoo, 2014, IEEE Transactions on Cybernetics.

Combining analytic kernel models for energy-efficient data modeling and classification

Albert Y. Zomaya, Paul D. Yoo, 2012, The Journal of Supercomputing.

Improved general regression network for protein domain boundary prediction

Albert Y. Zomaya, Paul D. Yoo, Bing Bing Zhou, 2007, BMC Bioinformatics.

An information extraction system for protein function prediction

Paul D. Yoo, Kamal Taha, Paul Yoo, 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Simulated Attack on DNP3 Protocol in SCADA System

Kwangjo Kim, Paul D. Yoo, Dongsoo Lee, 2014, SCIS 2014.

Shortlisting the Influential Members of Criminal Organizations and Identifying Their Important Communication Channels

Paul D. Yoo, Kamal Taha, Paul Yoo, 2019, IEEE Transactions on Information Forensics and Security.

The Intelligent Campus (iCampus): End-to-End Learning Lifecycle of a Knowledge Ecosystem

Ali Afzal, Paul D. Yoo, Fabrice Saffre, 2010, 2010 Sixth International Conference on Intelligent Environments.

Tree-Based Consensus Model for Proline Cis-Trans Isomerization Prediction

Albert Y. Zomaya, Paul D. Yoo, Khalfan Alromaithi, 2013, 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.

Effects of Residual Hardware Impairments on Secure NOMA-Based Cooperative Systems

Bassant Selim, Paschalis C. Sofotasios, Paul D. Yoo, 2020, IEEE Access.

Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection

Kwangjo Kim, Paul D. Yoo, Muhamad Erza Aminanto, 2018, IEEE Transactions on Information Forensics and Security.

Doppler frequency estimation-based handover algorithm for long-term evolution networks

Paul D. Yoo, Sami Muhaidat, Omar Altrad, 2014, IET Networks.

Machine-Learning-Based Feature Selection Techniques for Large-Scale Network Intrusion Detection

Kwangjo Kim, Omar Y. Al-Jarrah, Paul D. Yoo, 2014, 2014 IEEE 34th International Conference on Distributed Computing Systems Workshops (ICDCSW).

Randomized General Regression Network for Identification of Defect Patterns in Semiconductor Wafer Maps

Mohammed Ismail, Paul D. Yoo, Yousof Al-Hammadi, 2015, IEEE Transactions on Semiconductor Manufacturing.

Wi-Fi intrusion detection using weighted-feature selection for neural networks classifier

Kwangjo Kim, Paul D. Yoo, Muhamad Erza Aminanto, 2017, 2017 International Workshop on Big Data and Information Security (IWBIS).

Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction

Albert Y. Zomaya, Paul D. Yoo, Bing Bing Zhou, 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.

DEMISe: Interpretable Deep Extraction and Mutual Information Selection Techniques for IoT Intrusion Detection

Paul D. Yoo, A. Taufiq Asyhari, Lounis Chermak, 2019, ARES.

SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles

Albert Y. Zomaya, Paul D. Yoo, Bing Bing Zhou, 2008, BMC Bioinformatics.

Machine-Learning-Based Identification of Defect Patterns in Semiconductor Wafer Maps: An Overview and Proposal

Paul D. Yoo, Yousof Al-Hammadi, Sami Muhaidat, 2014, 2014 IEEE International Parallel & Distributed Processing Symposium Workshops.

Protein inter-domain linker prediction using Random Forest and amino acid physiochemical properties

Nazar Zaki, Paul D. Yoo, Maad Shatnawi, 2014, BMC Bioinformatics.

Data Randomization and Cluster-Based Partitioning for Botnet Intrusion Detection

Kwangjo Kim, Omar Y. Al-Jarrah, Paul D. Yoo, 2016, IEEE Transactions on Cybernetics.

A system for analyzing criminal social networks

Paul D. Yoo, Kamal Taha, Paul Yoo, 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation

Tony Jan, Paul D. Yoo, Maria H. Kim, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Semi-supervised Botnet Detection Using Ant Colony Clustering

Kwangjo Kim, Paul D. Yoo, Khalid Huseynov, 2014, SCIS 2014.

An Enhanced Machine Learning-Based Biometric Authentication System Using RR-Interval Framed Electrocardiograms

Paul D. Yoo, Chan Yeob Yeun, Song-Kyoo Kim, 2019, IEEE Access.

Novel EEG Sensor-Based Risk Framework for the Detection of Insider Threats in Safety Critical Industrial Infrastructure

Ho-Jin Choi, Paul D. Yoo, Chan Yeob Yeun, 2020, IEEE Access.

Detecting Overlapping Communities of Nodes with Multiple Attributes from Heterogeneous Networks

Paul D. Yoo, Kamal Taha, Paul Yoo, 2019, CollaborateCom.

You can run but you cannot hide from memory: Extracting IM evidence of Android apps

Anargyros Chryssanthou, Paul D. Yoo, Vasilios Katos, 2017, 2017 IEEE Symposium on Computers and Communications (ISCC).

A unified approach for representing wireless channels using EM-based finite mixture of gamma distributions

Paul D. Yoo, Sami Muhaidat, Jie Liang, 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

Residual Hardware Impairments on Secure NOMA-Based Relay Systems

Paschalis C. Sofotasios, Paul D. Yoo, Sami Muhaidat, 2019, 2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC).

IMPACT: Impersonation Attack Detection via Edge Computing Using Deep Autoencoder and Feature Abstraction

Paul D. Yoo, Chan Yeob Yeun, Kamal Taha, 2020, IEEE Access.

Censor-Based Multi-Antenna Cooperative Spectrum Sensing over Erroneous Feedback Channels

Paschalis C. Sofotasios, Paul D. Yoo, Sami Muhaidat, 2019, 2019 IEEE Wireless Communications and Networking Conference (WCNC).

SIIMCO: A Forensic Investigation Tool for Identifying the Influential Members of a Criminal Organization

Paul D. Yoo, Kamal Taha, Paul Yoo, 2016, IEEE Transactions on Information Forensics and Security.

Efficient Machine Learning for Big Data: A Review pdf

George K. Karagiannidis, Omar Y. Al-Jarrah, Paul D. Yoo, 2015, Big Data Res..

Multi-Layered Clustering for Power Consumption Profiling in Smart Grids

Omar Y. Al-Jarrah, Paul D. Yoo, Yousof Al-Hammadi, 2017, IEEE Access.

Using the Spanning Tree of a Criminal Network for Identifying Its Leaders

Paul D. Yoo, Kamal Taha, Paul Yoo, 2017, IEEE Transactions on Information Forensics and Security.

Predicting protein function from biomedical text

Paul D. Yoo, Kamal Taha, Paul Yoo, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Peripheral Nerve Signal Processing, Multipole Cuff Methods

Paul D. Yoo, 2014, Encyclopedia of Computational Neuroscience.

Opportunistic Spectrum Access in Cognitive Radio Networks Under Imperfect Spectrum Sensing

Arafat J. Al-Dweik, Paul D. Yoo, Sami Muhaidat, 2014, IEEE Transactions on Vehicular Technology.

Semi-supervised multi-layered clustering model for intrusion detection

Omar Y. Al-Jarrah, Paul D. Yoo, Mahmoud Al-Qutayri, 2017, Digit. Commun. Networks.

Simplified Subspaced Regression Network for Identification of Defect Patterns in Semiconductor Wafer Maps

Mohammed Ismail, Paul D. Yoo, Yousof Al-Hammadi, 2015, IEEE Transactions on Industrial Informatics.

Machine Intelligence in Protein Sequence Analysis and Structure Prediction

Albert Y. Zomaya, Paul D. Yoo, Bing Bing Zhou, 2007, BIOCOMP.

An Energy-Efficient Kernel Framework for Large-Scale Data Modeling and Classification

Albert Y. Zomaya, Paul D. Yoo, Jason W. P. Ng, 2011, 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum.

Semiparametric Subsampling and Data Condensation for Large-Scale Data Analytics

Paul D. Yoo, Sami Muhaidat, Jie Liang, 2019, 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE).

Randomized Subspace Learning for Proline Cis-Trans Isomerization Prediction

Nazar Zaki, Omar Y. Al-Jarrah, Paul D. Yoo, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Clustering the Dominant Defective Patterns in Semiconductor Wafer Maps

Paul D. Yoo, Khaled Salah, Kamal Taha, 2018, IEEE Transactions on Semiconductor Manufacturing.

An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning

Mohamed Jamal Zemerly, Paul D. Yoo, Chan Yeob Yeun, 2019, IEEE Access.

A trust-based authentication framework for security of WPAN using network slicing

Jamal N. Al-Karaki, Paul D. Yoo, Ali Alwadi, 2021 .

A Knowledge Base Visual Analytics Technique for Semantic Web

Paul D. Yoo, Benjamin Hirsch, Marcello Leida, 2016, 2016 IEEE Tenth International Conference on Semantic Computing (ICSC).

Inferring the relationships among genes from weighted GO graph

Paul D. Yoo, Kamal Taha, 2014, 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology.

iPFPi: A System for Improving Protein Function Prediction through Cumulative Iterations

Paul D. Yoo, Kamal Taha, Mohammed Alzaabi, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A Forensic System for Identifying the Suspects of a Crime with No Solid Material Evidences

Paul D. Yoo, Kamal Taha, Paul Yoo, 2018, 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech).

Visual analytics in the web of data

Paul D. Yoo, Benjamin Hirsch, Marcello Leida, 2013, 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS).

From Intrusion Detection to Attacker Attribution: A Comprehensive Survey of Unsupervised Methods

Paul D. Yoo, Vasilios Katos, Alexios Mylonas, 2018, IEEE Communications Surveys & Tutorials.

Predicting the functions of a protein from its ability to associate with other molecules

Paul D. Yoo, Kamal Taha, 2016, BMC Bioinformatics.

Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms pdf

Paul D. Yoo, Ernesto Damiani, Chan Yeob Yeun, 2020, ArXiv.

Robust Deep Identification using ECG and Multimodal Biometrics for Industrial Internet of Things

Myungsu Chae, Paul D. Yoo, Chan Yeob Yeun, 2021, Ad Hoc Networks.

Explainable artificial intelligence to evaluate industrial internal security using EEG signals in IoT framework

Paul D. Yoo, Chan Yeob Yeun, Man-Sung Yim, 2021, Ad Hoc Networks.