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Shaoning Pang
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2020 – today
- 2024
- [j34]Sachin K. Sen
, Gour C. Karmakar
Assessment of IIoT Sensor Security Vulnerabilities in Digital Wine Manufacturing Leveraging the CVSS. IEEE Access 12: 141489-141513 (2024) - [j33]Tarek Chaalan
The Path to Defence: A Roadmap to Characterising Data Poisoning Attacks on Victim Models. ACM Comput. Surv. 56(7): 175:1-175:39 (2024) - 2023
- [j32]Sachin K. Sen
Critical Data Detection for Dynamically Adjustable Product Quality in IIoT-Enabled Manufacturing. IEEE Access 11: 49464-49480 (2023) - 2021
- [j31]Jun Peng
S-Box Construction Method Based on the Combination of Quantum Chaos and PWLCM Chaotic Map. Int. J. Cogn. Informatics Nat. Intell. 15(4): 1-17 (2021) - [j30]Yushu Zhang
Computation Outsourcing Meets Lossy Channel: Secure Sparse Robustness Decoding Service in Multi-Clouds. IEEE Trans. Big Data 7(4): 717-728 (2021) - [j29]Lina Wang
Diversified and Scalable Service Recommendation With Accuracy Guarantee. IEEE Trans. Comput. Soc. Syst. 8(5): 1182-1193 (2021) - [j28]Lianyong Qi
Privacy-Aware Data Fusion and Prediction With Spatial-Temporal Context for Smart City Industrial Environment. IEEE Trans. Ind. Informatics 17(6): 4159-4167 (2021) - 2020
- [j27]Meng Liu
Privacy-preserving matrix product based static mutual exclusive roles constraints violation detection in interoperable role-based access control. Future Gener. Comput. Syst. 109: 457-468 (2020) - [c66]Shaoning Pang
CDMC'19 - The 10th International Cybersecurity Data Mining Competition. ICONIP (2) 2020: 235-245
2010 – 2019
- 2019
- [j26]Shaoning Pang
Editorial. Comput. Intell. 35(3): 474-475 (2019) - [c65]Jun Peng
S-boxes Construction Based on Quantum Chaos and PWLCM Chaotic Mapping. ICCI*CC 2019: 1-6 - [c64]Jing Zhao, Iman Tabatabaei Ardekani
Deep Learning for Combo Object Detection. ICONIP (1) 2019: 125-137 - 2018
- [j25]Lei Zhu, Kazushi Ikeda
Merging weighted SVMs for parallel incremental learning. Neural Networks 100: 25-38 (2018) - [c63]Zhilong Deng, Fan Liu, Jiangjiang Zhao, Qiang Wei, Shaoning Pang
Deep Transfer Learning via Minimum Enclosing Balls. ICONIP (3) 2018: 198-207 - [c62]Jing Zhao, Shaoning Pang
Task and Instance Quadratic Ordering for Active Online Multitask Learning. ICONIP (3) 2018: 435-447 - [c61]Shaoning Pang
Online Max-flow Learning via Augmenting and De-augmenting Path. IJCNN 2018: 1-8 - [c60]Sandro Rodriguez Garzon
Urban air pollution alert service for smart cities. IOT 2018: 9:1-9:8 - 2017
- [j24]Yanan Li
New mutation strategies of differential evolution based on clearing niche mechanism. Soft Comput. 21(20): 5939-5974 (2017) - [j23]Shaoning Pang
Malicious Events Grouping via Behavior Based Darknet Traffic Flow Analysis. Wirel. Pers. Commun. 96(4): 5335-5353 (2017) - [c59]Ruibin Zhang, Chi Yang, Shaoning Pang
UnitecDEAMP: Flow Feature Profiling for Malicious Events Identification in Darknet Space. ATIS 2017: 157-168 - [c58]Tao Ban, Lei Zhu, Jumpei Shimamura, Shaoning Pang
Detection of Botnet Activities Through the Lens of a Large-Scale Darknet. ICONIP (5) 2017: 442-451 - [c57]Jing Zhao, Shaoning Pang
Class-Wised Image Enhancement for Moving Object Detection at Maritime Boat Ramps. ICONIP (3) 2017: 675-685 - [c56]Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang
A sandpile model for reliable actor-critic reinforcement learning. IJCNN 2017: 4014-4021 - [c55]Meng Liu
Privacy-Preserving Detection of Statically Mutually Exclusive Roles Constraints Violation in Interoperable Role-Based Access Control. TrustCom/BigDataSE/ICESS 2017: 502-509 - 2016
- [j22]Shaoning Pang, Jing Zhao, Bruce Hartill, Abdolhossein Sarrafzadeh:
Modelling land water composition scene for maritime traffic surveillance. Int. J. Appl. Pattern Recognit. 3(4): 324-350 (2016) - [j21]Lei Zhu, Shaoning Pang
Incremental and Decremental Max-Flow for Online Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 28(8): 2115-2127 (2016) - [c54]Denis Lavrov, Veronique Blanchet, Shaoning Pang, Muyang He, Abdolhossein Sarrafzadeh:
COR-Honeypot: Copy-On-Risk, Virtual Machine as Honeypot in the Cloud. CLOUD 2016: 908-912 - [c53]Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang
Generalized Compatible Function Approximation for Policy Gradient Search. ICONIP (1) 2016: 615-622 - [c52]Jing Zhao, Shaoning Pang
A Combo Object Model for Maritime Boat Ramps Traffic Monitoring. ICONIP (1) 2016: 623-630 - [c51]Jing Zhao, Shaoning Pang
Object Trajectory Association Rules for Tracking Trailer Boat in Low-frame-rate Videos. ISNN 2016: 328-337 - [c50]Muyang He, Shaoning Pang
Reverse replication of virtual machines (rRVM) for low latency and high availability services. UCC 2016: 118-127 - [c49]Tao Ban, Shaoning Pang
Towards Early Detection of Novel Attack Patterns through the Lens of a Large-Scale Darknet. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 341-349 - 2015
- [c48]Ryan K. L. Ko
STRATUS: Towards Returning Data Control to Cloud Users. ICA3PP (Workshops and Symposiums) 2015: 57-70 - [c47]Jing Zhao, Shaoning Pang
Adaptive Background Modeling for Land and Water Composition Scenes. ICIAP (2) 2015: 97-107 - [c46]Ruibin Zhang, Lei Zhu, Xiaosong Li, Shaoning Pang
Behavior Based Darknet Traffic Decomposition for Malicious Events Identification. ICONIP (3) 2015: 251-260 - [c45]Gang Chen, Colin Douch, Mengjie Zhang, Shaoning Pang
Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems. ICONIP (2) 2015: 320-328 - [c44]Shaoning Pang
A federated network online network traffics analysis engine for cybersecurity. IJCNN 2015: 1-8 - 2014
- [j20]Shaoning Pang
A Learner-Independent Knowledge Transfer Approach to Multi-task Learning. Cogn. Comput. 6(3): 304-320 (2014) - [c43]Gang Chen, Mengjie Zhang, Shaoning Pang
Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method. ICONIP (3) 2014: 300-307 - [c42]Sreenivas Sremath Tirumala, Gang Chen, Shaoning Pang
Quantum Inspired Evolutionary Algorithm by Representing Candidate Solution as Normal Distribution. ICONIP (3) 2014: 308-316 - [c41]Simon Dacey, Lei Song, Lei Zhu, Shaoning Pang
Analysis and Configuration of Boundary Difference Calculations. ICONIP (3) 2014: 333-340 - [c40]Lei Song, Shaoning Pang
Spatio-temporal PM2.5 prediction by spatial data aided incremental support vector regression. IJCNN 2014: 623-630 - 2013
- [j19]Shaoning Pang
Dynamic class imbalance learning for incremental LPSVM. Neural Networks 44: 87-100 (2013) - [j18]Gang Chen, Abdolhossein Sarrafzadeh, Shaoning Pang
Service Provision Control in Federated Service Providing Systems. IEEE Trans. Parallel Distributed Syst. 24(3): 587-600 (2013) - [c39]Lei Song, Shaoning Pang
An incremental learning approach to continuous image change detection. FSKD 2013: 747-752 - [c38]Simon Dacey, Lei Song, Shaoning Pang
An Intelligent Agent Based Land Encroachment Detection Approach. ICONIP (1) 2013: 585-592 - [c37]Tao Ban, Ruibin Zhang, Shaoning Pang
Referential kNN Regression for Financial Time Series Forecasting. ICONIP (1) 2013: 601-608 - [c36]Yiming Peng, Shaoning Pang
Chunk incremental IDR/QR LDA learning. IJCNN 2013: 1-8 - 2012
- [j17]Shaoning Pang
LDA Merging and Splitting With Applications to Multiagent Cooperative Learning and System Alteration. IEEE Trans. Syst. Man Cybern. Part B 42(2): 552-564 (2012) - [c35]Yi Chen, Ajit Narayanan, Shaoning Pang
Malicioius Software Detection Using Multiple Sequence Alignment and Data Mining. AINA 2012: 8-14 - [c34]Ajit Narayanan, Yi Chen, Shaoning Pang
The Effects of Different Representations on Malware Motif Identification. CIS 2012: 86-90 - [c33]Yi Chen, Ajit Narayanan, Shaoning Pang
Multiple sequence alignment and artificial neural networks for malicious software detection. ICNC 2012: 261-265 - [c32]Gang Chen, Shaoning Pang
SDE-Driven Service Provision Control. ICONIP (1) 2012: 260-268 - [c31]Anthony Lai, Lei Song, Yiming Peng, Peter Zhang, Qili Wang, Shaoning Pang
Exploring Crude Oil Impacts to Oil Stocks through Graphical Computational Correlation Analysis. ICONIP (5) 2012: 309-317 - [c30]Shaoning Pang
Training Minimum Enclosing Balls for Cross Tasks Knowledge Transfer. ICONIP (1) 2012: 375-382 - [c29]Tao Ban, Lei Zhu, Jumpei Shimamura, Shaoning Pang
Behavior Analysis of Long-term Cyber Attacks in the Darknet. ICONIP (5) 2012: 620-628 - [c28]Lei Zhu, Shaoning Pang
Class imbalance robust incremental LPSVM for data streams learning. IJCNN 2012: 1-8 - 2011
- [j16]Shaoning Pang
Personalized mode transductive spanning SVM classification tree. Inf. Sci. 181(11): 2071-2085 (2011) - [j15]Shaoning Pang
Correlation-aided support vector regression for forex time series prediction. Neural Comput. Appl. 20(8): 1193-1203 (2011) - 2010
- [c27]Nuwan Gunasekara
Tuning N-gram String Kernel SVMs via Meta Learning. ICONIP (2) 2010: 91-98 - [c26]Ye Chen, Shaoning Pang
Factorizing Class Characteristics via Group MEBs Construction. ICONIP (2) 2010: 283-290 - [c25]Shaoning Pang
Incremental and decremental LDA learning with applications. IJCNN 2010: 1-8 - [p2]Naoki Shimo, Shaoning Pang, Keiichi Horio, Nikola K. Kasabov, Hakaru Tamukoh, Takanori Koga, Satoshi Sonoh, Hirohisa Isogai, Takeshi Yamakawa:
Effective and Adaptive Learning Based on Diversive/Specific Curiosity. Brain-Inspired Information Technology 2010: 171-175
2000 – 2009
- 2009
- [j14]Shaoning Pang
Encoding and decoding the knowledge of association rules over SVM classification trees. Knowl. Inf. Syst. 19(1): 79-105 (2009) - [j13]Shaoning Pang
Guest editorial: Thematic issue on 'Adaptive Soft Computing Techniques and Applications'. Memetic Comput. 1(4): 239-240 (2009) - [c24]Shaoning Pang
Spanning SVM Tree for Personalized Transductive Learning. ICANN (1) 2009: 913-922 - [c23]Ye Chen, Shaoning Pang
Hierarchical Core Vector Machines for Network Intrusion Detection. ICONIP (2) 2009: 520-529 - [c22]Zbynek Michlovský, Shaoning Pang
String Kernel Based SVM for Internet Security Implementation. ICONIP (2) 2009: 530-539 - [c21]Seiichi Ozawa, Yuki Kawashima, Shaoning Pang
Adaptive incremental principal component analysis in nonstationary online learning environments. IJCNN 2009: 2394-2400 - [c20]Shaoning Pang
Curiosity driven incremental LDA agent active learning. IJCNN 2009: 2401-2408 - 2008
- [j12]Seiichi Ozawa, Shaoning Pang
Incremental Learning of Chunk Data for Online Pattern Classification Systems. IEEE Trans. Neural Networks 19(6): 1061-1074 (2008) - [c19]Sean W. Gordon, Shaoning Pang
Vision Based Mobile Robot for Indoor Environmental Security. ICONIP (1) 2008: 962-969 - [c18]Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Shaoning Pang
A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems. ICONIP (1) 2008: 1163-1171 - [c17]Seiichi Ozawa, Kazuya Matsumoto, Shaoning Pang
Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio. ICONIP (1) 2008: 1196-1203 - [c16]Shaoning Pang
r-SVMT: Discovering the knowledge of association rule over SVM classification trees. IJCNN 2008: 2486-2493 - [p1]Shaoning Pang
SVMT-Rule: Association Rule Mining Over SVM Classification Trees. Rule Extraction from Support Vector Machines 2008: 135-162 - 2007
- [j11]Shaoning Pang
Classification consistency analysis for bootstrapping gene selection. Neural Comput. Appl. 16(6): 527-539 (2007) - [c15]Seiichi Ozawa, Shaoning Pang
Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. ICONIP (2) 2007: 396-405 - [c14]Boris Bacic, Nikola K. Kasabov
Evolving Connectionist Systems for Adaptive Sport Coaching. ICONIP (2) 2007: 416-425 - 2006
- [j10]Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov:
Incremental learning of feature space and classifier for on-line pattern recognition. Int. J. Knowl. Based Intell. Eng. Syst. 10(1): 57-65 (2006) - [c13]Seiichi Ozawa, Shaoning Pang
An Incremental Principal Component Analysis for Chunk Data. FUZZ-IEEE 2006: 2278-2285 - [c12]Yingjie Hu, Shaoning Pang, Ilkka Havukkala:
A Novel Microarray Gene Selection Method Based on Consistency. HIS 2006: 14 - [c11]Shaoning Pang
Investigating LLE Eigenface on Pose and Face Identification. ISNN (2) 2006: 134-139 - [c10]Shaoning Pang
Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis. ISNN (2) 2006: 629-634 - [c9]Ilkka Havukkala
Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery. PRIB 2006: 163-173 - 2005
- [j9]Seiichi Ozawa, Soon Lee Toh, Shigeo Abe
Incremental learning of feature space and classifier for face recognition. Neural Networks 18(5-6): 575-584 (2005) - [j8]Shaoning Pang
Face membership authentication using SVM classification tree generated by membership-based LLE data partition. IEEE Trans. Neural Networks 16(2): 436-446 (2005) - [j7]Shaoning Pang
Incremental linear discriminant analysis for classification of data streams. IEEE Trans. Syst. Man Cybern. Part B 35(5): 905-914 (2005) - [c8]Shaoning Pang
Chunk Incremental LDA Computing on Data Streams. ISNN (2) 2005: 51-56 - 2004
- [j6]Nikola K. Kasabov, Shaoning Pang:
Editorial. Int. J. Comput. Syst. Signals 5(2): 1 (2004) - [j5]Snjezana Soltic, Shaoning Pang, Lora Peacock, Susan P. Worner:
Evolving Computation Offers Potential for Estimation of Pest Establishment. Int. J. Comput. Syst. Signals 5(2): 36-43 (2004) - [j4]Shaoning Pang:
Data Approximation for Bayesian Network Modelling. Int. J. Comput. Syst. Signals 5(2): 53- (2004) - [j3]Shaoning Pang, Hyun-Chul Kim, Daijin Kim, Sung Yang Bang:
Prediction of the suitability for image-matching based on self-similarity of vision contents. Image Vis. Comput. 22(5): 355-365 (2004) - [c7]Shaoning Pang:
Constructing SVM Multiple Tree for Face Membership Authentication. ICBA 2004: 37-43 - [c6]Shaoning Pang
One-Pass Incremental Membership Authentication by Face Classification. ICBA 2004: 155-161 - [c5]Snjezana Soltic, Shaoning Pang
Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment. ICONIP 2004: 971-976 - [c4]Seiichi Ozawa, Shaoning Pang
A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier. PRICAI 2004: 231-240 - 2003
- [j2]Hyun-Chul Kim, Shaoning Pang
Constructing support vector machine ensemble. Pattern Recognit. 36(12): 2757-2767 (2003) - [j1]Shaoning Pang
Membership authentication in the dynamic group by face classification using SVM ensemble. Pattern Recognit. Lett. 24(1-3): 215-225 (2003) - 2002
- [c3]Hyun-Chul Kim, Shaoning Pang, Hong-Mo Je, Daijin Kim, Sung Yang Bang:
Pattern Classification Using Support Vector Machine Ensemble. ICPR (2) 2002: 160-163 - [c2]Shaoning Pang, Daijin Kim, Sung Yang Bang:
Membership Authentication in Dynamic Face Groups. ICPR (2) 2002: 374-377 - [c1]Hyun-Chul Kim, Shaoning Pang
Support Vector Machine Ensemble with Bagging. SVM 2002: 397-407
Coauthor Index
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last updated on 2024-10-23 20:26 CEST by the dblp team
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