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Paul D. Yoo
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2020 – today
- 2024
- [j37]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: 103559 (2024) - [c28]Stephanie Wenxin Liu
, Michael Fischer
, Paul D. Yoo
, Tobias Ritschel
:
Neural Bounding. SIGGRAPH (Conference Paper Track) 2024: 98 - [i7]Kamal Taha, Paul D. Yoo, Chan Yeob Yeun, Aya Taha:
Text Classification: A Review, Empirical, and Experimental Evaluation. CoRR abs/2401.12982 (2024) - [i6]Kamal Taha, Paul D. Yoo, Aya Taha:
Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey. CoRR abs/2402.03368 (2024) - 2023
- [j36]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: 119854 (2023) - [j35]Paul D. Yoo
, Zahir Tari
:
Editorial Sustainable Defence and Security Systems. IEEE Trans. Sustain. Comput. 8(4): 537-539 (2023) - [c27]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: 5159-5164 - [i5]Wenxin Liu, Michael Fischer, Paul D. Yoo, Tobias Ritschel:
Neural Bounding. CoRR abs/2310.06822 (2023) - 2022
- [j34]Kamal Taha
, Paul D. Yoo, Fatima Zohra Eddinari, Siniya Nedunkulathil:
Inferring the densest multi-profiled cross-community for a user. Knowl. Based Syst. 237: 107681 (2022) - [c26]Alberto Matuozzo, Paul D. Yoo, Alessandro Provetti, Maria H. Kim:
Machine Learning Methods for Equity Time Series Forecasting: A Compendium. AMLTS 2022 - 2021
- [j33]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: 102581 (2021) - [j32]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: 102641 (2021) - [j31]Paul D. Yoo
, Zahir Tari
:
Editorial: Sustainable Information Security and Forensic Computing. IEEE Trans. Sustain. Comput. 6(1): 2-3 (2021) - [d1]Ahmed Alhammadi
, Chan Yeob Yeun, Ernesto Damiani, Paul D. Yoo, Jiankun Hu, Hyun Ku Yeun, Man-Sung Yim:
EEG Brainwave Dataset. IEEE DataPort, 2021 - 2020
- [j30]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: 2524-2536 (2020) - [j29]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: 65520-65529 (2020) - [j28]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: 206222-206234 (2020) - [j27]Ioannis Tsimperidis
, Paul D. Yoo
, Kamal Taha
, Alexios Mylonas
, Vasilis Katos
:
R2BN: An Adaptive Model for Keystroke-Dynamics-Based Educational Level Classification. IEEE Trans. Cybern. 50(2): 525-535 (2020) - [j26]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): 48-60 (2020) - [c25]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: 1-4 - [c24]Kamal Taha, Paul D. Yoo:
An Effective Disease Risk Indicator Tool. EMBC 2020: 5284-5287 - [i4]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 abs/2012.00348 (2020)
2010 – 2019
- 2019
- [j25]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: 27699-27719 (2019) - [j24]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: 123069-123075 (2019) - [j23]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: 168669-168674 (2019) - [j22]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): 1988-1999 (2019) - [c23]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: 98:1-98:10 - [c22]Omar Alhussein, Paul D. Yoo
, Sami Muhaidat
, Jie Liang
:
Semiparametric Subsampling and Data Condensation for Large-Scale Data Analytics. CCECE 2019: 1-6 - [c21]Kamal Taha
, Paul D. Yoo
:
Detecting Overlapping Communities of Nodes with Multiple Attributes from Heterogeneous Networks. CollaborateCom 2019: 760-779 - [c20]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: 1-6 - [c19]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: 1-6 - [i3]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 abs/1907.00366 (2019) - [i2]Amang Kim, Paul D. Yoo:
An Enhanced Machine Learning Based Biometric Authentication System Using RR-Interval Framed Electrocardiograms. CoRR abs/1907.13517 (2019) - 2018
- [j21]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): 3369-3388 (2018) - [j20]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): 277-286 (2018) - [j19]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): 621-636 (2018) - [c18]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: 576-583 - 2017
- [j18]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: 18459-18468 (2017) - [j17]Kamal Taha
, Paul D. Yoo
:
Using the Spanning Tree of a Criminal Network for Identifying Its Leaders. IEEE Trans. Inf. Forensics Secur. 12(2): 445-453 (2017) - [c17]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: 457-464 - [c16]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: 99-104 - 2016
- [j16]Kamal Taha
, Paul D. Yoo
:
Predicting the functions of a protein from its ability to associate with other molecules. BMC Bioinform. 17: 34 (2016) - [j15]Kamal Taha
, Paul D. Yoo
:
Erratum to: Predicting the functions of a protein from its ability to associate with other molecules. BMC Bioinform. 17: 105 (2016) - [j14]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): 1796-1806 (2016) - [j13]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): 811-822 (2016) - [c15]Maryam R. Al-Shehhi, Benjamin Hirsch
, Kamal Taha
, Marcello Leida, Paul D. Yoo
:
A Knowledge Base Visual Analytics Technique for Semantic Web. ICSC 2016: 392-395 - 2015
- [j12]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): 87-93 (2015) - [j11]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): 763-769 (2015) - [j10]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): 825-836 (2015) - [j9]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): 1267-1276 (2015) - [c14]Kamal Taha
, Paul D. Yoo
:
A System for Analyzing Criminal Social Networks. ASONAM 2015: 1017-1023 - [c13]Kamal Taha
, Paul D. Yoo
:
An information extraction system for protein function prediction. CIBCB 2015: 1-7 - [c12]Kamal Taha
, Paul D. Yoo
:
Predicting protein function from biomedical text. EMBC 2015: 3275-3278 - [i1]O. Y. Al-Jarrah, Paul D. Yoo, Sami Muhaidat, George K. Karagiannidis, Kamal Taha:
Efficient Machine Learning for Big Data: A Review. CoRR abs/1503.05296 (2015) - 2014
- [j8]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): S8 (2014) - [j7]Omar Altrad, Sami Muhaidat
, Paul D. Yoo
:
Doppler frequency estimation-based handover algorithm for long-term evolution networks. IET Networks 3(2): 88-96 (2014) - [j6]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): 26-32 (2014) - [j5]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): 445-455 (2014) - [j4]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): 920-925 (2014) - [c11]Kamal Taha
, Paul D. Yoo
:
Inferring the relationships among genes from weighted GO graph. CIBCB 2014: 1-7 - [c10]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: 1008-1013 - [c9]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: 177-181 - [c8]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: 420-429 - [r1]Paul D. Yoo:
Peripheral Nerve Signal Processing, Multipole Cuff Methods. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j3]Paul D. Yoo
, Albert Y. Zomaya
:
Combining analytic kernel models for energy-efficient data modeling and classification. J. Supercomput. 63(3): 790-799 (2013) - [c7]Maryam R. Al-Shehhi, Marcello Leida, Benjamin Hirsch
, Paul D. Yoo
, Kamal Taha
:
Visual Analytics in the web of data. ICECS 2013: 102-103 - [c6]Paul D. Yoo
, Albert Y. Zomaya
, Khalfan Alromaithi, Sara Alshamsi:
Tree-Based Consensus Model for Proline Cis-Trans Isomerization Prediction. IPDPS Workshops 2013: 454-458 - 2011
- [c5]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: 404-408 - 2010
- [c4]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: 332-337
2000 – 2009
- 2008
- [j2]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) - [j1]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) - [c3]Paul D. Yoo
, Yung Shwen Ho, Bing Bing Zhou, Albert Y. Zomaya
:
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction. IPDPS 2008: 1-8 - 2007
- [c2]Paul D. Yoo, Bing Bing Zhou, Albert Y. Zomaya:
Machine Intelligence in Protein Sequence Analysis and Structure Prediction. BIOCOMP 2007: 370-377 - 2005
- [c1]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: 835-841
Coauthor Index
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last updated on 2024-07-20 20:35 CEST by the dblp team
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