List of works - Johan Suykens

A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels

scientific article published on 10 September 2019

A convex approach to validation-based learning of the regularization constant

scientific article published in May 2007

A kernel-based framework to tensorial data analysis ⬇️

scientific article published on June 12, 2011

A support vector machine formulation to PCA analysis and its kernel version

scientific article

Application of kernel principal component analysis for single-lead-ECG-derived respiration.

scientific article published in April 2012

Approximate confidence and prediction intervals for least squares support vector regression

scientific article published in November 2010

Approximate solutions to ordinary differential equations using least squares support vector machines.

scientific article published in September 2012

Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis

scientific article published in May 2002

Classification With Truncated ℓ₁ Distance Kernel

scientific article published on March 2017

Cluster synchronization in oscillatory networks.

scientific article published in September 2008

Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning

scientific article

Coupled simulated annealing.

scientific article published on 31 July 2009

Data visualization and dimensionality reduction using kernel maps with a reference point

scientific article

Deep Restricted Kernel Machines Using Conjugate Feature Duality.

scientific article published on 31 May 2017

Does the combination of magnetic resonance imaging and spectroscopic imaging improve the classification of brain tumours?

scientific article

Financial time series prediction using least squares support vector machines within the evidence framework

scientific article published in January 2001

Finding communities in weighted networks through synchronization.

scientific article published in December 2011

Functional form estimation using oblique projection matrices for LS-SVM regression models

scientific article published on 07 June 2019

Hierarchical kernel spectral clustering ⬇️

scientific article published on July 16, 2012

Hinging hyperplanes for time-series segmentation

scientific article

Improved long-term temperature prediction by chaining of neural networks

scientific article published in February 2001

Improved microarray-based decision support with graph encoded interactome data

scientific article

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

scientific article published on June 23, 2012

Incremental multi-class semi-supervised clustering regularized by Kalman filtering

scientific article published on 14 August 2015

Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure

scientific article published on 26 July 2018

Influence of passive elements on the dynamics of oscillatory ensembles of cardiac cells

scientific article published on 29 April 2009

Introduction to Focus Issue: synchronization in complex networks.

scientific article published in September 2008

Kernel component analysis using an epsilon-insensitive robust loss function

scientific article published in September 2008

Kernel spectral clustering for dynamic data using multiple kernel learning

scientific article published in August 2013

Kernel spectral clustering of time series in the CoRoT exoplanet database

scientific article published in January 2011

Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery.

scientific article published on 6 January 2016

L2-norm multiple kernel learning and its application to biomedical data fusion.

scientific article

Learning Theory Estimates with Observations from General Stationary Stochastic Processes

scientific article published on 8 July 2016

Least Squares Support Vector Machine Classifiers

article by J.A.K. Suykens & J. Vandewalle published 1999 in Neural Processing Letters

Magnetic eigenmaps for community detection in directed networks. ⬇️

scientific article

Multi-Class Supervised Novelty Detection.

scientific article published on December 2014

Multiclass semisupervised learning based upon kernel spectral clustering.

scientific article published on April 2015

Multilevel hierarchical kernel spectral clustering for real-life large scale complex networks ⬇️

scientific article

Multiway spectral clustering with out-of-sample extensions through weighted kernel PCA

scientific article

Netgram: Visualizing Communities in Evolving Networks

scientific article published on 10 September 2015

Noise Level Estimation for Model Selection in Kernel PCA Denoising.

scientific article

Numerical studies of slow rhythms emergence in neural microcircuits: bifurcations and stability

scientific article published in March 2009

Optimized data fusion for kernel k-means clustering

scientific article

Parallelized Tensor Train Learning of Polynomial Classifiers

scientific article published on 04 December 2017

Predicting breast cancer using an expression values weighted clinical classifier

scientific article

Predictive models for long term survival after premature rupture of membranes

scientific article published in January 2005

Reducing the number of support vectors of SVM classifiers using the smoothed separable case approximation

scientific article published in April 2012

Regularized Semipaired Kernel CCA for Domain Adaptation

scientific article published on August 2017

Robust Gradient Learning With Applications

scientific article published on 11 May 2015

Robust Low-Rank Tensor Recovery With Regularized Redescending M-Estimator

scientific article published on 20 August 2015

Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses.

scientific article

Robust artefact detection in long-term ECG recordings based on autocorrelation function similarity and percentile analysis.

scientific article published on January 2012

Robust local stability of multilayer recurrent neural networks

scientific article published in January 2000

Segmentation of time series from nonlinear dynamical systems

Signal recovery for jointly sparse vectors with different sensing matrices

scholarly article by Li Li et al published March 2015 in Signal Processing

Sleep apnea classification using least-squares support vector machines on single lead ECG.

scientific article published in January 2013

Solution Path for Pin-SVM Classifiers With Positive and Negative $\tau $ Values.

scientific article published on 8 April 2016

Springer Handbook of Computational Intelligence

article

Support Vector Machine Classifier With Pinball Loss

scientific article published in May 2014

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

scientific article published on August 6, 2011

Toward optical signal processing using photonic reservoir computing

scientific article

Training multilayer perceptron classifiers based on a modified support vector method

scientific article published in January 1999

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

scientific article published on 08 January 2020

Transfer learning in demand response: A review of algorithms for data-efficient modelling and control

scientific article published on 18 November 2021

Variety of synchronous regimes in neuronal ensembles.

scientific article published in September 2008

Very sparse LSSVM reductions for large-scale data

scientific article

List of works by Johan Suykens

A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels

A convex approach to validation-based learning of the regularization constant

A kernel-based framework to tensorial data analysis ⬇️

A support vector machine formulation to PCA analysis and its kernel version

Application of kernel principal component analysis for single-lead-ECG-derived respiration.

Approximate confidence and prediction intervals for least squares support vector regression

Approximate solutions to ordinary differential equations using least squares support vector machines.

Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis

Classification With Truncated ℓ₁ Distance Kernel

Cluster synchronization in oscillatory networks.

Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning

Coupled simulated annealing.

Data visualization and dimensionality reduction using kernel maps with a reference point

Deep Restricted Kernel Machines Using Conjugate Feature Duality.

Does the combination of magnetic resonance imaging and spectroscopic imaging improve the classification of brain tumours?

Financial time series prediction using least squares support vector machines within the evidence framework

Finding communities in weighted networks through synchronization.

Functional form estimation using oblique projection matrices for LS-SVM regression models

Hierarchical kernel spectral clustering ⬇️

Hinging hyperplanes for time-series segmentation

Improved long-term temperature prediction by chaining of neural networks

Improved microarray-based decision support with graph encoded interactome data

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

Incremental multi-class semi-supervised clustering regularized by Kalman filtering

Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure

Influence of passive elements on the dynamics of oscillatory ensembles of cardiac cells

Introduction to Focus Issue: synchronization in complex networks.

Kernel component analysis using an epsilon-insensitive robust loss function

Kernel spectral clustering for dynamic data using multiple kernel learning

Kernel spectral clustering of time series in the CoRoT exoplanet database

Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery.

L2-norm multiple kernel learning and its application to biomedical data fusion.

Learning Theory Estimates with Observations from General Stationary Stochastic Processes

Least Squares Support Vector Machine Classifiers

Magnetic eigenmaps for community detection in directed networks. ⬇️

Multi-Class Supervised Novelty Detection.

Multiclass semisupervised learning based upon kernel spectral clustering.

Multilevel hierarchical kernel spectral clustering for real-life large scale complex networks ⬇️

Multiway spectral clustering with out-of-sample extensions through weighted kernel PCA

Netgram: Visualizing Communities in Evolving Networks

Noise Level Estimation for Model Selection in Kernel PCA Denoising.

Numerical studies of slow rhythms emergence in neural microcircuits: bifurcations and stability

Optimized data fusion for kernel k-means clustering

Parallelized Tensor Train Learning of Polynomial Classifiers

Predicting breast cancer using an expression values weighted clinical classifier

Predictive models for long term survival after premature rupture of membranes

Reducing the number of support vectors of SVM classifiers using the smoothed separable case approximation

Regularized Semipaired Kernel CCA for Domain Adaptation

Robust Gradient Learning With Applications

Robust Low-Rank Tensor Recovery With Regularized Redescending M-Estimator

Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses.

Robust artefact detection in long-term ECG recordings based on autocorrelation function similarity and percentile analysis.

Robust local stability of multilayer recurrent neural networks

Segmentation of time series from nonlinear dynamical systems

Signal recovery for jointly sparse vectors with different sensing matrices

Sleep apnea classification using least-squares support vector machines on single lead ECG.

Solution Path for Pin-SVM Classifiers With Positive and Negative $\tau $ Values.

Springer Handbook of Computational Intelligence

Support Vector Machine Classifier With Pinball Loss

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

Toward optical signal processing using photonic reservoir computing

Training multilayer perceptron classifiers based on a modified support vector method

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

Transfer learning in demand response: A review of algorithms for data-efficient modelling and control

Variety of synchronous regimes in neuronal ensembles.

Very sparse LSSVM reductions for large-scale data