Paul D. Yoo

According to our database1, Paul D. Yoo authored at least 43 papers between 2005 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Shortlisting the Influential Members of Criminal Organizations and Identifying Their Important Communication Channels.
IEEE Trans. Information Forensics and Security, 2019

Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey.
IEEE Access, 2019

Detecting Overlapping Communities of Nodes with Multiple Attributes from Heterogeneous Networks.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 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
Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection.
IEEE Trans. Information Forensics and Security, 2018

From Intrusion Detection to Attacker Attribution: A Comprehensive Survey of Unsupervised Methods.
IEEE Communications Surveys and 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
Using the Spanning Tree of a Criminal Network for Identifying Its Leaders.
IEEE Trans. Information Forensics and Security, 2017

Multi-Layered Clustering for Power Consumption Profiling in Smart Grids.
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

You can run but you cannot hide from memory: Extracting IM evidence of Android apps.
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. Information Forensics and Security, 2016

Data Randomization and Cluster-Based Partitioning for Botnet Intrusion Detection.
IEEE Trans. Cybernetics, 2016

Erratum to: Predicting the functions of a protein from its ability to associate with other molecules.
BMC Bioinformatics, 2016

Predicting the functions of a protein from its ability to associate with other molecules.
BMC Bioinformatics, 2016

A Knowledge Base Visual Analytics Technique for Semantic Web.
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. Industrial Informatics, 2015

iPFPi: A System for Improving Protein Function Prediction through Cumulative Iterations.
IEEE/ACM Trans. Comput. Biology Bioinform., 2015

Randomized Subspace Learning for Proline Cis-Trans Isomerization Prediction.
IEEE/ACM Trans. Comput. Biology Bioinform., 2015

Efficient Machine Learning for Big Data: A Review.
Big Data Research, 2015

Predicting protein function from biomedical text.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

An information extraction system for protein function prediction.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

A System for Analyzing Criminal Social Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Peripheral Nerve Signal Processing, Multipole Cuff Methods.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Opportunistic Spectrum Access in Cognitive Radio Networks Under Imperfect Spectrum Sensing.
IEEE Trans. Vehicular Technology, 2014

Sample Subset Optimization Techniques for Imbalanced and Ensemble Learning Problems in Bioinformatics Applications.
IEEE Trans. Cybernetics, 2014

Intelligent Consensus Modeling for ProlineCis-Trans Isomerization Prediction.
IEEE/ACM Trans. Comput. Biology 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 Bioinformatics, 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

Inferring the relationships among genes from weighted GO graph.
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.
The Journal of Supercomputing, 2013

Tree-Based Consensus Model for Proline Cis-Trans Isomerization Prediction.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Visual Analytics in the web of data.
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
Improved general regression network for protein domain boundary prediction.
BMC Bioinformatics, 2008

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


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