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Karl Ezra Pilario

Observed names: Karl Ezra Pilario, Karl Ezra, Karl Ezra S Pilario, Karl Ezra S. Pilario, Karl Ezra Salgado Pilario, Karl Pilario, Pilario, Karl Ezra Salgado
ORCID: 0000-0001-5448-0909
Observed ORCID: 0000-0001-5448-0909
OpenAlex ID: A5015378932
Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection
2018 · Karl Ezra Salgado Pilario, Yi Cao · IEEE Transactions on Industrial Informatics · 308
A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring
2019 · Karl Ezra Pilario, Mahmood Shafiee, et al. · Processes · 136
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Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes
2023 · Kyojin Jang, Karl Ezra Salgado Pilario, et al. · IEEE Transactions on Industrial Informatics · 127
Mixed kernel canonical variate dissimilarity analysis for incipient fault monitoring in nonlinear dynamic processes
2018 · Karl Ezra S. Pilario, Yi Cao, et al. · Computers & Chemical Engineering · 103
Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater
2022 · Suraj Kumar Bhagat, Karl Ezra Pilario, et al. · Journal of Cleaner Production · 95
Identification of gas-liquid flow regimes using a non-intrusive Doppler ultrasonic sensor and virtual flow regime maps
2019 · Somtochukwu Godfrey Nnabuife, Karl Ezra S. Pilario, et al. · Flow Measurement and Instrumentation · 75
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Structural reliability assessment of offshore wind turbine support structures subjected to pitting corrosion‐fatigue: A damage tolerance modelling approach
2020 · Abdulhakim Adeoye Shittu, Ali Mehmanparast, et al. · Wind Energy · 71
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A Kernel Design Approach to Improve Kernel Subspace Identification
2020 · Karl Ezra Salgado Pilario, Yi Cao, et al. · IEEE Transactions on Industrial Electronics · 35
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Machine Learning Based Flow Regime Identification using Ultrasonic Doppler Data and Feature Relevance Determination
2022 · Ricardo Roxas  II, Matthew Angelo Evangelista, et al. · Digital Chemical Engineering · 18
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Development of a Real-Time Objective Gas–Liquid Flow Regime Identifier Using Kernel Methods
2019 · Edem Nsefik Eyo, Karl Ezra Salgado Pilario, et al. · IEEE Transactions on Cybernetics · 18
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Flow regime classification using various dimensionality reduction methods and AutoML
2024 · Umair Khan, William Pao, et al. · Engineering Analysis with Boundary Elements · 17
Two-phase flow regime identification using multi-method feature extraction and explainable kernel Fisher discriminant analysis
2023 · Umair Khan, William Pao, et al. · International Journal of Numerical Methods for Heat &amp Fluid Flow · 17
Geographical and entomological differentiation of Philippine honey by multivariate analysis of FTIR spectra
2022 · Jeb Reece Grabato, Karl Ezra Pilario, et al. · Journal of Food Composition and Analysis · 17
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Geographical discrimination of propolis using dynamic time warping kernel principal components analysis
2021 · Karl Ezra Pilario, Alexander Tielemans, et al. · Expert Systems with Applications · 15
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O- and OH-induced dopant segregation in single atom alloy surfaces: A combined density functional theory and machine learning study
2023 · Anne Nicole P. Hipolito, Marianne A. Palmero, et al. · Computational Materials Science · 14
Incipient Fault Detection, Diagnosis, and Prognosis using Canonical Variate Dissimilarity Analysis
2019 · Karl Ezra S. Pilario, Yi Cao, et al. · Computer-aided chemical engineering/Computer aided chemical engineering · 14
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Real-time automatic flow regime classification and mapping for vertical pipes using dynamic pressure signals
2025 · Umair Khan, William Pao, et al. · International Journal of Multiphase Flow · 11
Teaching classical machine learning as a graduate-level course in chemical engineering: An algorithmic approach
2024 · Karl Ezra Pilario · Digital Chemical Engineering · 11
Reconceptualizing Reliability Indices as Metrics to Quantify Power Distribution System Resilience
2024 · Gerald A. Abantao, Jessa A. Ibañez, et al. · Energies · 11
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Predicting Drying Curves in Algal Biorefineries using Gaussian Process Autoregressive Models
2022 · Karl Ezra S. Pilario, Phoebe Mae L. Ching, et al. · Digital Chemical Engineering · 11
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Process incipient fault detection using canonical variate analysis
2017 · Karl Ezra Pilario, Yi Cao · International Conference on Automation and Computing (ICAC) · 9
Spatio-Temporal Solar–Wind Complementarity Assessment in the Province of Kalinga-Apayao, Philippines Using Canonical Correlation Analysis
2022 · Karl Ezra S. Pilario, Jessa A. Ibañez, et al. · Sustainability · 7
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Robust prediction of chlorophyll-A from nitrogen and phosphorus content in Philippine and global lakes using fine-tuned, explainable machine learning
2024 · Karl Ezra Pilario, Eric Jan Escober, et al. · Environmental Challenges · 6
Two-stage feature selection for machine learning-aided DFT-based surface reactivity study on single-atom alloys
2024 · Viejay Z Ordillo, Koji Shimizu, et al. · Modelling and Simulation in Materials Science and Engineering · 4
A Machine Learning-Accelerated Density Functional Theory (ML-DFT) Approach for Predicting Atomic Adsorption Energies on Monometallic Transition Metal Surfaces for Electrocatalyst Screening
2022 · Jan Goran T. Tomacruz, Karl Ezra S. Pilario, et al. · Chemical engineering transactions · 4
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Works count: 46
Citation count: 1,175
H-index: 14
I10-index: 20
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