Improvement of variables interpretability in kernel PCA by Mitja Briscik, Marie-Agnès Dillies, Sébastien Déjean

Subjects: “…Kernel PCA…”
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A Spatial Division Clustering Method and Low Dimensional Feature Extraction Technique Based Indoor Positioning System by Yun Mo, Zhongzhao Zhang, Weixiao Meng, Lin Ma, Yao Wang

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Dimensionality Reduction and Clustering Strategies for Label Propagation in Partial Discharge Data Sets by Ronaldo F. Zampolo, Frederico H. R. Lopes, Rodrigo M. S. de Oliveira, Martim F. Fernandes, Victor Dmitriev

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Multi-Omics Data Fusion via a Joint Kernel Learning Model for Cancer Subtype Discovery and Essential Gene Identification by Jie Feng, Limin Jiang, Shuhao Li, Jijun Tang, Jijun Tang, Jijun Tang, Lan Wen

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Cyclic Nonlinear Correlation Analysis for Time Series by Christopher M. A. Bonenberger, Friedhelm Schwenker, Wolfgang Ertel, Markus Schneider

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A comparative study to examine principal component analysis and kernel principal component analysis-based weighting layer for convolutional neural networks by Amir Mehrabinezhad, Mohammad Teshnehlab, Arash Sharifi

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Regularized Kernel Algorithms for Support Estimation by Alessandro Rudi, Alessandro Rudi, Ernesto De Vito, Alessandro Verri, Francesca Odone

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Optimized machine learning model for Alzheimer and epilepsy detection from EEG signals by P. Jasphin Jeni Sharmila, T. S. Shiny Angel

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Predicting pairwise relations with neural similarity encoders by F. Horn, K.-R. Müller

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Kernel principal component analysis (PCA) control chart for monitoring mixed non-linear variable and attribute quality characteristics by Muhammad Ahsan, Muhammad Mashuri, Hidayatul Khusna, Wibawati

Subjects: “…Kernel PCA…”
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Semi-Supervised KPCA-Based Monitoring Techniques for Detecting COVID-19 Infection through Blood Tests by Fouzi Harrou, Abdelkader Dairi, Abdelhakim Dorbane, Farid Kadri, Ying Sun

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Incremental Kernel Principal Components Subspace Inference With Nyström Approximation for Bayesian Deep Learning by Yongguang Wang, Shuzhen Yao, Tian Xu

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Comparison of Topic Modelling Approaches in the Banking Context by Bayode Ogunleye, Tonderai Maswera, Laurence Hirsch, Jotham Gaudoin, Teresa Brunsdon

Subjects: “…kernel pca…”
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Machine Learning Based Flow Regime Identification using Ultrasonic Doppler Data and Feature Relevance Determination by Ricardo Roxas  II, Matthew Angelo Evangelista, Jalen Aeron Sombillo, Somtochukwu Godfrey Nnabuife, Karl Ezra Pilario

Subjects: “…Kernel PCA…”
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LWKPCA: A New Robust Method for Face Recognition Under Adverse Conditions by Ayyad Maafiri, Ahmed Bir-Jmel, Omar Elharrouss, Fouad Khelifi, Khalid Chougdali

Subjects: “…local binary pattern and wavelet kernel PCA…”
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Effective Fault Detection and Diagnosis for Power Converters in Wind Turbine Systems Using KPCA-Based BiLSTM by Zahra Yahyaoui, Mansour Hajji, Majdi Mansouri, Kamaleldin Abodayeh, Kais Bouzrara, Hazem Nounou

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Permuted KPCA and SMOTE to Guide GAN-Based Oversampling for Imbalanced HSI Classification by Tajul Miftahushudur, Bruce Grieve, Hujun Yin

Subjects: “…kernel principal component analysis (kernel PCA)…”
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On Optimizing Hyperspectral Inversion of Soil Copper Content by Kernel Principal Component Analysis by Fei Guo, Zhen Xu, Honghong Ma, Xiujin Liu, Lei Gao

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