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ORCIDKarl Ezra Pilario
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2020 – today
- 2025
[j6]Kyojin Jang, Karl Ezra Salgado Pilario, Nayoung Lee, Il Moon, Jonggeol Na:
Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes. IEEE Trans. Ind. Informatics 21(1): 4-11 (2025)- 2022
- [j5]Karl Ezra Pilario
, Alexander Tielemans, Elmer-Rico E. Mojica:
Geographical discrimination of propolis using dynamic time warping kernel principal components analysis. Expert Syst. Appl. 187: 115938 (2022) - 2021
- [j4]Edem Nsefik Eyo, Karl Ezra S. Pilario, Liyun Lao, Gioia Falcone:
Development of a Real-Time Objective Gas-Liquid Flow Regime Identifier Using Kernel Methods. IEEE Trans. Cybern. 51(5): 2688-2698 (2021) - [j3]Karl Ezra S. Pilario, Yi Cao, Mahmood Shafiee:
A Kernel Design Approach to Improve Kernel Subspace Identification. IEEE Trans. Ind. Electron. 68(7): 6171-6180 (2021)
2010 – 2019
- 2019
- [j2]Karl Ezra S. Pilario, Yi Cao, Mahmood Shafiee:
Mixed kernel canonical variate dissimilarity analysis for incipient fault monitoring in nonlinear dynamic processes. Comput. Chem. Eng. 123: 143-154 (2019) - [c2]Karl Ezra S. Pilario, Yi Cao, Mahmood Shafiee, Liyun Lao:
Reconstruction based Fault Prognosis in Dynamic Processes using Canonical Variate Analysis. ICAC 2019: 1-6 - 2018
- [j1]Karl Ezra Pilario, Yi Cao:
Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection. IEEE Trans. Ind. Informatics 14(12): 5308-5315 (2018) - 2017
- [c1]Karl Ezra Pilario, Yi Cao:
Process incipient fault detection using canonical variate analysis. ICAC 2017: 1-6
Coauthor Index
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