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Transductive LSTM for time-series prediction: An application to weather forecasting

Neural networks, 2020-05, Vol.125, p.1-9

2020

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Support vector methods for survival analysis: a comparison between ranking and regression approaches

Artificial intelligence in medicine, 2011-10, Vol.53 (2), p.107-118

2011

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Incorporating structural information from the multichannel EEG improves patient-specific seizure detection

Clinical neurophysiology, 2012-12, Vol.123 (12), p.2352-2361

2012

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Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis

AIChE journal, 2015-11, Vol.61 (11), p.3666-3682

2015

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Automated structural health monitoring based on adaptive kernel spectral clustering

Mechanical systems and signal processing, 2017-06, Vol.90, p.64-78

2017

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Enhancing dynamic soft sensors based on DPLS: A temporal smoothness regularization approach

Journal of process control, 2015-04, Vol.28, p.17-26

2015

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A tutorial on support vector machine-based methods for classification problems in chemometrics

Analytica chimica acta, 2010-04, Vol.665 (2), p.129-145

2010

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Analysis of regularized least-squares in reproducing kernel Kreĭn spaces

Machine learning, 2021-06, Vol.110 (6), p.1145-1173

2021

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Efficient evolutionary spectral clustering

Pattern recognition letters, 2016-12, Vol.84, p.78-84

2016

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Benchmarking Least Squares Support Vector Machine Classifiers

Machine learning, 2004-01, Vol.54 (1), p.5-32

2004

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Kernel Spectral Clustering for Big Data Networks

Entropy (Basel, Switzerland), 2013-05, Vol.15 (12), p.1567-1586

2013

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Identification of MIMO Hammerstein models using least squares support vector machines

Automatica (Oxford), 2005-07, Vol.41 (7), p.1263-1272

2005

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A mixed effects least squares support vector machine model for classification of longitudinal data

Computational statistics & data analysis, 2012-03, Vol.56 (3), p.611-628

2012

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Bayesian kernel based classification for financial distress detection

European journal of operational research, 2006-08, Vol.172 (3), p.979-1003

2006

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A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection

Artificial intelligence in medicine, 2007-06, Vol.40 (2), p.87-102

2007

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Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond

IEEE transactions on pattern analysis and machine intelligence, 2022-10, Vol.44 (10), p.7128-7148

2022

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Support Vector Machine Classifier With Pinball Loss

IEEE transactions on pattern analysis and machine intelligence, 2014-05, Vol.36 (5), p.984-997

2014

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Robustness of reweighted Least Squares Kernel Based Regression

Journal of multivariate analysis, 2010-02, Vol.101 (2), p.447-463

2010

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Deep Restricted Kernel Machines Using Conjugate Feature Duality

Neural computation, 2017-08, Vol.29 (8), p.2123-2163

Suykens, Johan A. K

2017

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Compressing Features for Learning With Noisy Labels

IEEE transaction on neural networks and learning systems, 2024-02, Vol.35 (2), p.2124-2138

2024

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Primal and dual model representations in kernel-based learning

Statistics surveys, 2010-01, Vol.4 (none), p.148

2010

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Learning with tensors: a framework based on convex optimization and spectral regularization

Machine learning, 2014-03, Vol.94 (3), p.303-351

2014

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Multi-View Kernel Spectral Clustering

Information fusion, 2018-11, Vol.44, p.46-56

2018

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Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA

IEEE transactions on pattern analysis and machine intelligence, 2010-02, Vol.32 (2), p.335-347

2010

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Regularized Semipaired Kernel CCA for Domain Adaptation

IEEE transaction on neural networks and learning systems, 2018-07, Vol.29 (7), p.3199-3213

2018

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Transductive LSTM for time-series prediction: An application to weather forecasting

Support vector methods for survival analysis: a comparison between ranking and regression approaches

Incorporating structural information from the multichannel EEG improves patient-specific seizure detection

Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis

Automated structural health monitoring based on adaptive kernel spectral clustering

Enhancing dynamic soft sensors based on DPLS: A temporal smoothness regularization approach

A tutorial on support vector machine-based methods for classification problems in chemometrics

Analysis of regularized least-squares in reproducing kernel Kreĭn spaces

Efficient evolutionary spectral clustering

Benchmarking Least Squares Support Vector Machine Classifiers

Kernel Spectral Clustering for Big Data Networks

Identification of MIMO Hammerstein models using least squares support vector machines

A mixed effects least squares support vector machine model for classification of longitudinal data

Bayesian kernel based classification for financial distress detection

A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection

Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond

Support Vector Machine Classifier With Pinball Loss

Robustness of reweighted Least Squares Kernel Based Regression

Deep Restricted Kernel Machines Using Conjugate Feature Duality

Compressing Features for Learning With Noisy Labels

Primal and dual model representations in kernel-based learning

Learning with tensors: a framework based on convex optimization and spectral regularization

Multi-View Kernel Spectral Clustering

Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA

Regularized Semipaired Kernel CCA for Domain Adaptation

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