2024
One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation.
Proceedings of the International Joint Conference on Neural Networks, 2024
2022
Multivariate Time Series Anomaly Detection with Few Positive Samples.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
On Adversarial Vulnerability of PHM algorithms: An Initial Study.
CoRR, 2021
Flight data anomaly detection and diagnosis with variable association change.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021
Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Detecting Gas Turbine Combustor Anomalies Using Semi-supervised Anomaly Detection with Deep Representation Learning.
Cogn. Comput., 2020
Adversarial Vulnerability in Doppler-based Human Activity Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
A Comparison of GANs-Based Approaches for Combustor System Fault Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Attack Detection for Securing Cyber Physical Systems.
IEEE Internet Things J., 2019
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach.
CoRR, 2019
Rotman Lens-Fed Fabry-Perot Resonator Antennas for Generating Converged Multi-Mode OAM Beams.
IEEE Access, 2019
Continuous Modeling of Power Plant Performance with Regularized Extreme Learning Machine.
Proceedings of the International Joint Conference on Neural Networks, 2019
Physical Activity Recognition Using Multi-Sensor Fusion and Extreme Learning Machines.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Forecasting and Early Warning for Adversarial Targeting in Industrial Control Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Towards Intelligent Interpretation of Low Strain Pile Integrity Testing Results Using Machine Learning Techniques.
Sensors, 2017
Concept drift learning with alternating learners.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Power plant performance modeling with concept drift.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Time series classification from scratch with deep neural networks: A strong baseline.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Concrete Condition Assessment Using Impact-Echo Method and Extreme Learning Machines.
Sensors, 2016
One-class extreme learning machines for gas turbine combustor anomaly detection.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2013
<i>p</i>-PIC: Parallel power iteration clustering for big data.
J. Parallel Distributed Comput., 2013
2012
Toward Automatic Time-Series Forecasting Using Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2012
2010
Learning mixtures of experts with a hybrid generative-discriminative algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2010
Time receiver operating characteristic (tROC) curves: A new tool for evaluating the performance of diagnostic systems.
Proceedings of the International Joint Conference on Neural Networks, 2010
Uncertainty with the Gamma Test for model input data selection.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Gaussian process for long-term time-series forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2009
Validation of the Gamma Test for Model Input Data Selection - with a Case Study in Evaporation Estimation.
Proceedings of the Fifth International Conference on Natural Computation, 2009
2008
Correcting Sensor Drift and Intermittency Faults With Data Fusion and Automated Learning.
IEEE Syst. J., 2008
Jet engine gas path fault diagnosis using dynamic fusion of multiple classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2008
Anomaly detection using data clustering and neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Parametric model-based anomaly detection for locomotive subsystems.
Proceedings of the International Joint Conference on Neural Networks, 2007
Fusion in multi-criterion feature ranking.
Proceedings of the 10th International Conference on Information Fusion, 2007
Improving Classifier Fusion Using Particle Swarm Optimization.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007
A Review of Two Industrial Deployments of Multi-criteria Decision-making Systems at General Electric.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007
2006
Operational Data Based Anomaly Detection for Locomotive Diagnostics.
Proceedings of the 2006 International Conference on Machine Learning; Models, 2006
Designing a Neural Network Decision System for Automated Insurance Underwriting.
Proceedings of the International Joint Conference on Neural Networks, 2006
2004
A theoretical study of solvent effects on tautomerism and electronic absorption spectra of 3-hydroxy-2-mercaptopyridine and 2, 3-dihydroxypyridine.
J. Comput. Chem., 2004
Classifier Fusion Using Triangular Norms.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004