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Publications by Marie-Louise O’Connell
The Effect of Principal Component Analysis on Machine Learning Accuracy With High Dimensional Spectral Data
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Principal Component Analysis for Sparse High-Dimensional Data
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High Dimensional Semiparametric Scale-Invariant Principal Component Analysis
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Computer Vision
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Computational Theory
Artificial Intelligence
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High-Dimensional Data Classification Based on Principal Component Analysis Dimension Reduction and Improved BP Algorithm
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Enforcement of the Principal Component Analysis–extreme Learning Machine Algorithm by Linear Discriminant Analysis
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Dimensionality Reduction of High-Dimensional Data With a NonLinear Principal Component Aligned Generative Topographic Mapping
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Research on Network Intrusion Detection Based on Incremental Extreme Learning Machine and Adaptive Principal Component Analysis
Energies
Control
Electronic Engineering
Energy Engineering
Renewable Energy
Energy
Fuel Technology
Sustainability
Optimization
Electrical
Power Technology
the Environment
Robust Principal Component Analysis of Data With Missing Values
Lecture Notes in Computer Science
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Nonlinear Regression With High-Dimensional Space Mapping for Blood Component Spectral Quantitative Analysis
Journal of Spectroscopy
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Atomic
Spectroscopy
Molecular Physics,
