Nguyen Lu Dang Khoa
Nguyen Lu Dang Khoa
Senior Research Scientist, Data61 (CSIRO)
Verified email at - Homepage
TitleCited byYear
Stock price forecasting using back propagation neural networks with time and profit based adjusted weight factors
NLD Khoa, K Sakakibara, I Nishikawa
2006 SICE-ICASE International Joint Conference, 5484-5488, 2006
Robust outlier detection using commute time and eigenspace embedding
NLD Khoa, S Chawla
Advances in Knowledge Discovery and Data Mining, 422-434, 2010
Robust Dimensionality Reduction and Damage Detection Approaches in Structural Health Monitoring
NLD Khoa, B Zhang, Y Wang, F Chen, S Mustapha
International Journal of Structural Health Monitoring, 2014
A spectral-based clustering for structural health monitoring of the Sydney Harbour Bridge
MM Alamdari, T Rakotoarivelo, NLD Khoa
Mechanical Systems and Signal Processing 87, 384-400, 2017
A clustering approach for structural health monitoring on bridges
A Diez, NLD Khoa, MM Alamdari, Y Wang, F Chen, P Runcie
Journal of Civil Structural Health Monitoring 6 (3), 429–445, 2016
Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers
NLD Khoa, S Chawla
Discovery Science, 7-21, 2012
Adaptive one-class support vector machine for damage detection in structural health monitoring
A Anaissi, NLD Khoa, S Mustapha, MM Alamdari, A Braytee, Y Wang, ...
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 42-57, 2017
A scalable approach to spectral clustering with SDD solvers
NLD Khoa, S Chawla
Journal of Intelligent Information Systems 44 (2), 289-308, 2015
On damage identification in civil structures using tensor analysis
NLD Khoa, B Zhang, Y Wang, W Liu, F Chen, S Mustapha, P Runcie
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 459-471, 2015
Pattern Recognition Based on Time Series Analysis Using Vibration Data for Structural Health Monitoring in Civil Structures
S Mustapha, Y Hu, NLD Khoa, M Makki Alamdari, P Runcie, ...
Electronic Journal Of Structural Engineering 14 (1), 106-115, 2015
A tensor-based structural damage identification and severity assessment
A Anaissi, M Makki Alamdari, T Rakotoarivelo, NLD Khoa
Sensors 18 (1), 111, 2018
Smart Infrastructure Maintenance Using Incremental Tensor Analysis
NLD Khoa, A Anaissi, Y Wang
The 2017 ACM on Conference on Information and Knowledge Management, 959-967, 2017
Kernel-based support vector machines for automated health status assessment in monitoring sensor data
A Diez-Olivan, JA Pagan, NLD Khoa, R Sanz, B Sierra
The International Journal of Advanced Manufacturing Technology 95 (1-4), 327-340, 2018
Network Anomaly Detection Using a Commute Distance Based Approach
NLD Khoa, T Babaie, S Chawla, Z Zaidi
Data Mining Workshops (ICDMW), 2010 IEEE International Conference on, 943-950, 2010
Automated parameter tuning in one-class support vector machine: an application for damage detection
A Anaissi, NLD Khoa, Y Wang
International Journal of Data Science and Analytics 6 (4), 311-325, 2018
Self-advised incremental one-class support vector machines: An application in structural health monitoring
A Anaissi, NLD Khoa, T Rakotoarivelo, MM Alamdari, Y Wang
International Conference on Neural Information Processing, 484-496, 2017
On structural health monitoring using tensor analysis and support vector machine with artificial negative data
P Cheema, NLD Khoa, M Makki Alamdari, W Liu, Y Wang, F Chen, ...
Proceedings of the 25th ACM International on Conference on Information and …, 2016
Adaptive online one-class support vector machines with applications in structural health monitoring
A Anaissi, NLD Khoa, T Rakotoarivelo, MM Alamdari, Y Wang
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (6), 1-20, 2018
Structural health monitoring using machine learning techniques and domain knowledge based features
NLD Khoa, MM Alamdari, T Rakotoarivelo, A Anaissi, Y Wang
Human and Machine Learning, 409-435, 2018
Incremental commute time using random walks and online anomaly detection
NLD Khoa, S Chawla
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
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