Process incipient fault detection using canonical variate analysis. - Karl Ezra Pilario; Yi Cao 002 (ICAC, 2017)

Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection. - Karl Ezra Pilario; Yi Cao 002 (IEEE Trans. Ind. Informatics, 2018)

Reconstruction based Fault Prognosis in Dynamic Processes using Canonical Variate Analysis. - Karl Ezra S. Pilario; Yi Cao 002; Mahmood Shafiee; Liyun Lao (ICAC, 2019)

Mixed kernel canonical variate dissimilarity analysis for incipient fault monitoring in nonlinear dynamic processes. - Karl Ezra S. Pilario; Yi Cao 002; Mahmood Shafiee (Comput. Chem. Eng., 2019)

Development of a Real-Time Objective Gas-Liquid Flow Regime Identifier Using Kernel Methods. - Edem Nsefik Eyo; Karl Ezra S. Pilario; Liyun Lao; Gioia Falcone (IEEE Trans. Cybern., 2021)

A Kernel Design Approach to Improve Kernel Subspace Identification. - Karl Ezra S. Pilario; Yi Cao 002; Mahmood Shafiee (IEEE Trans. Ind. Electron., 2021)

Geographical discrimination of propolis using dynamic time warping kernel principal components analysis. - Karl Ezra Pilario; Alexander Tielemans; Elmer-Rico E. Mojica (Expert Syst. Appl., 2022)

Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes. - Kyojin Jang; Karl Ezra Salgado Pilario; Nayoung Lee; Il Moon; Jonggeol Na (IEEE Trans. Ind. Informatics, 2025)