Paul D. Yoo
Orcid: 0000-0001-7665-8616
According to our database1,
Paul D. Yoo
authored at least 72 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Comput. Secur., January, 2024
Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey.
CoRR, 2024
2023
A right kind of wrong: European equity market forecasting with custom feature engineering and loss functions.
Expert Syst. Appl., August, 2023
IEEE Trans. Sustain. Comput., 2023
A Visual Analytics Framework for Explainable Malware Detection in Edge Computing Networks.
Proceedings of the IEEE Global Communications Conference, 2023
2022
Knowl. Based Syst., 2022
Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022
2021
IEEE Trans. Sustain. Comput., 2021
Explainable artificial intelligence to evaluate industrial internal security using EEG signals in IoT framework.
Ad Hoc Networks, 2021
Robust Deep Identification using ECG and Multimodal Biometrics for Industrial Internet of Things.
Ad Hoc Networks, 2021
2020
Censor-Based Cooperative Multi-Antenna Spectrum Sensing with Imperfect Reporting Channels.
IEEE Trans. Sustain. Comput., 2020
R<sup>2</sup>BN: An Adaptive Model for Keystroke-Dynamics-Based Educational Level Classification.
IEEE Trans. Cybern., 2020
Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms.
CoRR, 2020
IEEE Access, 2020
IMPACT: Impersonation Attack Detection via Edge Computing Using Deep Autoencoder and Feature Abstraction.
IEEE Access, 2020
Novel EEG Sensor-Based Risk Framework for the Detection of Insider Threats in Safety Critical Industrial Infrastructure.
IEEE Access, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020
2019
Shortlisting the Influential Members of Criminal Organizations and Identifying Their Important Communication Channels.
IEEE Trans. Inf. Forensics Secur., 2019
An Enhanced Machine Learning Based Biometric Authentication System Using RR-Interval Framed Electrocardiograms.
CoRR, 2019
An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning.
CoRR, 2019
An Enhanced Machine Learning-Based Biometric Authentication System Using RR-Interval Framed Electrocardiograms.
IEEE Access, 2019
IEEE Access, 2019
An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning.
IEEE Access, 2019
Proceedings of the 22nd International Symposium on Wireless Personal Multimedia Communications, 2019
Censor-Based Multi-Antenna Cooperative Spectrum Sensing over Erroneous Feedback Channels.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019
Detecting Overlapping Communities of Nodes with Multiple Attributes from Heterogeneous Networks.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019
Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, 2019
DEMISe: Interpretable Deep Extraction and Mutual Information Selection Techniques for IoT Intrusion Detection.
Proceedings of the 14th International Conference on Availability, Reliability and Security, 2019
2018
IEEE Trans. Inf. Forensics Secur., 2018
Digit. Commun. Networks, 2018
From Intrusion Detection to Attacker Attribution: A Comprehensive Survey of Unsupervised Methods.
IEEE Commun. Surv. Tutorials, 2018
A Forensic System for Identifying the Suspects of a Crime with No Solid Material Evidences.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018
2017
IEEE Trans. Inf. Forensics Secur., 2017
IEEE Access, 2017
Wi-Fi intrusion detection using weighted-feature selection for neural networks classifier.
Proceedings of the International Workshop on Big Data and Information Security, 2017
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017
2016
SIIMCO: A Forensic Investigation Tool for Identifying the Influential Members of a Criminal Organization.
IEEE Trans. Inf. Forensics Secur., 2016
IEEE Trans. Cybern., 2016
Erratum to: Predicting the functions of a protein from its ability to associate with other molecules.
BMC Bioinform., 2016
Predicting the functions of a protein from its ability to associate with other molecules.
BMC Bioinform., 2016
Proceedings of the Tenth IEEE International Conference on Semantic Computing, 2016
2015
Simplified Subspaced Regression Network for Identification of Defect Patterns in Semiconductor Wafer Maps.
IEEE Trans. Ind. Informatics, 2015
iPFPi: A System for Improving Protein Function Prediction through Cumulative Iterations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Opportunistic Spectrum Access in Cognitive Radio Networks Under Imperfect Spectrum Sensing.
IEEE Trans. Veh. Technol., 2014
Sample Subset Optimization Techniques for Imbalanced and Ensemble Learning Problems in Bioinformatics Applications.
IEEE Trans. Cybern., 2014
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Doppler frequency estimation-based handover algorithm for long-term evolution networks.
IET Networks, 2014
Protein inter-domain linker prediction using Random Forest and amino acid physiochemical properties.
BMC Bioinform., 2014
Machine-Learning-Based Identification of Defect Patterns in Semiconductor Wafer Maps: An Overview and Proposal.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014
Machine-Learning-Based Feature Selection Techniques for Large-Scale Network Intrusion Detection.
Proceedings of the 34th International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops), Madrid, Spain, June 30, 2014
A unified approach for representing wireless channels using EM-based finite mixture of gamma distributions.
Proceedings of the 2014 IEEE GLOBECOM Workshops, Austin, TX, USA, December 8-12, 2014, 2014
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014
2013
Combining analytic kernel models for energy-efficient data modeling and classification.
J. Supercomput., 2013
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013
Proceedings of the 20th IEEE International Conference on Electronics, 2013
2011
An Energy-Efficient Kernel Framework for Large-Scale Data Modeling and Classification.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011
2010
The Intelligent Campus (iCampus): End-to-End Learning Lifecycle of a Knowledge Ecosystem.
Proceedings of the Sixth International Conference on Intelligent Environments, 2010
2008
BMC Bioinform., 2008
SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles.
BMC Bioinform., 2008
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008
2007
Machine Intelligence in Protein Sequence Analysis and Structure Prediction.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007
2005
Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005