Johan A. K. Suykens

Proceedings of the Artificial Intelligence and Machine Learning, 2019

Towards Deterministic Diverse Subset Sampling.

[BibT_eX]

[DOI]

Joachim Schreurs

Proceedings of the Artificial Intelligence and Machine Learning, 2019

2018

Regularized Semipaired Kernel CCA for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Classification With Truncated $\ell _{1}$ Distance Kernel.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Parallelized Tensor Train Learning of Polynomial Classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Optimal Quadrature-Sparsification for Integral Operator Approximation.

[BibT_eX]

[DOI]

Bertrand Gauthier

SIAM J. Sci. Comput., 2018

Indefinite kernel spectral learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Kernel Density Estimation for Dynamical Systems.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2018

Multi-View Kernel Spectral Clustering.

[BibT_eX]

[DOI]

Inf. Fusion, 2018

Deep hybrid neural-kernel networks using random Fourier features.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Multi-View Least Squares Support Vector Machines Classification.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Modified Frank-Wolfe algorithm for enhanced sparsity in support vector machine classifiers.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Hammerstein system identification through best linear approximation inversion and regularisation.

[BibT_eX]

[DOI]

Koen Tiels

Int. J. Control, 2018

Correntropy Based Matrix Completion.

[BibT_eX]

[DOI]

Entropy, 2018

Transductive Feature Selection Using Clustering-Based Sample Entropy for Temperature Prediction in Weather Forecasting.

[BibT_eX]

[DOI]

Entropy, 2018

Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting.

[BibT_eX]

[DOI]

CoRR, 2018

Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions.

[BibT_eX]

[DOI]

CoRR, 2018

A two-experiment approach to Wiener system identification.

[BibT_eX]

[DOI]

Giulio Bottegal

Sundaravelpandian Singaravel

Autom., 2018

Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction.

[BibT_eX]

[DOI]

Philipp Geyer

Adv. Eng. Informatics, 2018

Weighted Multi-view Deep Neural Networks for Weather Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Tensor Learning in Multi-view Kernel PCA.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Generative Kernel PCA.

[BibT_eX]

[DOI]

Joachim Schreurs

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Shallow and Deep Models for Domain Adaptation problems.

[BibT_eX]

[DOI]

Matthew B. Blaschko

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Fast Adaptive Hinging Hyperplanes.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Valuing Knowledge, Information and Agency in Multi-agent Reinforcement Learning: A Case Study in Smart Buildings.

[BibT_eX]

[DOI]

Hussain Syed Kazmi

Johan Driesen

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Solving lp-norm regularization with tensor kernels.

[BibT_eX]

[DOI]

Saverio Salzo

Lorenzo Rosasco

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Solution Path for Pin-SVM Classifiers With Positive and Negative τ Values.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Editorial: A Successful Year and Looking Forward to 2017 and Beyond.

[BibT_eX]

[DOI]

Dhireesha Kudithipudi

José Antonio Lozano

Teresa Bernarda Ludermir

IEEE Trans. Neural Networks Learn. Syst., 2017

Deep Restricted Kernel Machines Using Conjugate Feature Duality.

[BibT_eX]

[DOI]

Neural Comput., 2017

Supervised aggregated feature learning for multiple instance classification.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Fast kernel spectral clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Unpaired multi-view kernel spectral clustering.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

MIMO hammerstein system identification using LS-SVM and steady state time response.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Multi-view LS-SVM regression for black-box temperature prediction in weather forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Probabilistic matrix factorization from quantized measurements.

[BibT_eX]

[DOI]

Giulio Bottegal

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A primal-dual line search method and applications in image processing.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

Scalable Hybrid Deep Neural Kernel Networks.

[BibT_eX]

[DOI]

Andreas Zell

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Moving Least Squares Support Vector Machines for weather temperature prediction.

[BibT_eX]

[DOI]

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

On the identification of Wiener systems with polynomial nonlinearity.

[BibT_eX]

[DOI]

Giulio Bottegal

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Robust Gradient Learning With Applications.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems.

[BibT_eX]

[DOI]

SIAM J. Optim., 2016

Efficient evolutionary spectral clustering.

[BibT_eX]

[DOI]

Marc Van Barel

Pattern Recognit. Lett., 2016

Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines.

[BibT_eX]

[DOI]

Neural Process. Lett., 2016

Learning Theory Estimates with Observations from General Stationary Stochastic Processes.

[BibT_eX]

[DOI]

Neural Comput., 2016

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

[BibT_eX]

[DOI]

Neural Comput., 2016

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

[BibT_eX]

[DOI]

Neural Comput., 2016

Fast and scalable Lasso via stochastic Frank-Wolfe methods with a convergence guarantee.

[BibT_eX]

[DOI]

Mach. Learn., 2016

Reweighted stochastic learning.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Entropy-Based Incomplete Cholesky Decomposition for a Scalable Spectral Clustering Algorithm: Computational Studies and Sensitivity Analysis.

[BibT_eX]

[DOI]

Marc Van Barel

Entropy, 2016

Estimating the unknown time delay in chemical processes.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2016

Magnetic Eigenmaps for Visualization of Directed Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Magnetic eigenmaps for community detection in directed networks.

[BibT_eX]

[DOI]

CoRR, 2016

Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2016

The effect of imposing 'fractional abundance constraints' onto the multilayer perceptron for sub-pixel land cover classification.

[BibT_eX]

[DOI]

Stien Heremans

Jos Van Orshoven

Int. J. Appl. Earth Obs. Geoinformation, 2016

Scalable Semi-supervised kernel spectral learning using random Fourier features.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Wiener System Identification using Best Linear Approximation within the LS-SVM framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

Multi-label semi-supervised learning using regularized kernel spectral clustering.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Denoised Kernel Spectral data Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Clustering-based feature selection for black-box weather temperature prediction.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Hammerstein system identification using LS-SVM and steady state time response.

[BibT_eX]

[DOI]

Koen Tiels

Proceedings of the 15th European Control Conference, 2016

Fast in-memory spectral clustering using a fixed-size approach.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Spatio-temporal feature selection for black-box weather forecasting.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Clustering from two data sources using a kernel-based approach with weight coupling.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

Efficient multiple scale kernel classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Kernel Methods.

[BibT_eX]

[DOI]

Proceedings of the Springer Handbook of Computational Intelligence, 2015

Noise Level Estimation for Model Selection in Kernel PCA Denoising.

[BibT_eX]

[DOI]

Carolina Varon

IEEE Trans. Neural Networks Learn. Syst., 2015

Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Very Sparse LSSVM Reductions for Large-Scale Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

A Rank-One Tensor Updating Algorithm for Tensor Completion.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

Signal recovery for jointly sparse vectors with different sensing matrices.

[BibT_eX]

[DOI]

Li Li

Signal Process., 2015

Two-level ℓ1 minimization for compressed sensing.

[BibT_eX]

[DOI]

Signal Process., 2015

Identifying intervals for hierarchical clustering using the Gershgorin circle theorem.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

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

[BibT_eX]

[DOI]

Neural Networks, 2015

Learning with the maximum correntropy criterion induced losses for regression.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2015

Learning solutions to partial differential equations using LS-SVM.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Sequential minimal optimization for SVM with pinball loss.

[BibT_eX]

[DOI]

Neurocomputing, 2015

A robust ensemble approach to learn from positive and unlabeled data using SVM base models.

[BibT_eX]

[DOI]

Neurocomputing, 2015

LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2015

Higher order Matching Pursuit for Low Rank Tensor Learning.

[BibT_eX]

[DOI]

CoRR, 2015

Kernel Spectral Clustering and applications.

[BibT_eX]

[DOI]

CoRR, 2015

Pinball Loss Minimization for One-bit Compressive Sensing.

[BibT_eX]

[DOI]

CoRR, 2015

Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Hierarchical semi-supervised clustering using KSC based model.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Kernel spectral document clustering using unsupervised precision-recall metrics.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Black-box modeling for temperature prediction in weather forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A PARTAN-accelerated Frank-Wolfe algorithm for large-scale SVM classification.

[BibT_eX]

[DOI]

Emanuele Frandi

Ricardo Ñanculef

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Incorporating Best Linear Approximation within LS-SVM-based Hammerstein System Identification.

[BibT_eX]

[DOI]

Koen Tiels

Johan Schoukens

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Regularized and sparse stochastic k-means for distributed large-scale clustering.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

KSC-net: Community Detection for Big Data Networks.

[BibT_eX]

[DOI]

Proceedings of the Big Data - Algorithms, Analytics, and Applications., 2015

2014

Improved Initialization for Nonlinear State-Space Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2014

Hybrid Coupled Local Minimizers.

[BibT_eX]

[DOI]

Xuyang Lou

IEEE Trans. Circuits Syst. I Regul. Pap., 2014

Multi-Class Supervised Novelty Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Support Vector Machine Classifier With Pinball Loss.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

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

[BibT_eX]

[DOI]

Mach. Learn., 2014

Ramp loss linear programming support vector machine.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

EnsembleSVM: a library for ensemble learning using support vector machines.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

QoS prediction for web service compositions using kernel-based quantile estimation with online adaptation of the constant offset.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Non-parallel support vector classifiers with different loss functions.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Incremental kernel spectral clustering for online learning of non-stationary data.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Asymmetric least squares support vector machine classifiers.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2014

Asymmetric v-tube support vector regression.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2014

Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks.

[BibT_eX]

[DOI]

CoRR, 2014

Complexity Issues and Randomization Strategies in Frank-Wolfe Algorithms for Machine Learning.

[BibT_eX]

[DOI]

Emanuele Frandi

Ricardo Ñanculef

CoRR, 2014

Fast Prediction with SVM Models Containing RBF Kernels.

[BibT_eX]

[DOI]

CoRR, 2014

Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization.

[BibT_eX]

[DOI]

Andreas Argyriou

CoRR, 2014

Parameter estimation of delay differential equations: An integration-free LS-SVM approach.

[BibT_eX]

[DOI]

Saeid Mehrkanoon

Commun. Nonlinear Sci. Numer. Simul., 2014

Predicting breast cancer using an expression values weighted clinical classifier.

[BibT_eX]

[DOI]

BMC Bioinform., 2014

Quantile regression with ℓ 1 - regularization and Gaussian kernels.

[BibT_eX]

[DOI]

Adv. Comput. Math., 2014

Reweighted l 2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Large scale semi-supervised learning using KSC based model.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Optimal reduced sets for sparse kernel spectral clustering.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

SVD truncation schemes for fixed-size kernel models.

[BibT_eX]

[DOI]

Diego Hernán Peluffo-Ordóñez

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Optimal Data Projection for Kernel Spectral Clustering.

[BibT_eX]

[DOI]

Germán Castellanos-Domínguez

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Agglomerative hierarchical kernel spectral clustering for large scale networks.

[BibT_eX]

[DOI]

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Reweighted l1 Dual Averaging Approach for Sparse Stochastic Learning.

[BibT_eX]

[DOI]

Charalampos N. Moschopoulos

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Gene interaction networks boost genetic algorithm performance in biomarker discovery.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

Agglomerative hierarchical kernel spectral data clustering.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Clustering data over time using kernel spectral clustering with memory.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Alarm prediction in industrial machines using autoregressive LS-SVM models.

[BibT_eX]

[DOI]

Abdellatif Bey-Temsamani

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

New bilinear formulation to semi-supervised classification based on Kernel Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

High level high performance computing for multitask learning of time-varying models.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Big Data, 2014

Representative subsets for big data learning using k-NN graphs.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Hinging Hyperplanes for Time-Series Segmentation.

[BibT_eX]

[DOI]

Marin Matijas

IEEE Trans. Neural Networks Learn. Syst., 2013

Stability of Coupled Local Minimizers Within the Lagrange Programming Network Framework.

[BibT_eX]

[DOI]

Xuyang Lou

IEEE Trans. Circuits Syst. I Regul. Pap., 2013

FURS: Fast and Unique Representative Subset selection retaining large-scale community structure.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2013

Support vector machines with piecewise linear feature mapping.

[BibT_eX]

[DOI]

Neurocomputing, 2013

Risk group detection and survival function estimation for interval coded survival methods.

[BibT_eX]

[DOI]

Neurocomputing, 2013

Load forecasting using a multivariate meta-learning system.

[BibT_eX]

[DOI]

Marin Matijas

Slavko Krajcar

Expert Syst. Appl., 2013

Kernel Spectral Clustering for Big Data Networks.

[BibT_eX]

[DOI]

Entropy, 2013

Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties.

[BibT_eX]

[DOI]

Lieven De Lathauwer

CoRR, 2013

The skweezee system: enabling the design and the programming of squeeze interactions.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, 2013

Highly Sparse Reductions to Kernel Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Weighted Coordinate-Wise Pegasos.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data.

[BibT_eX]

[DOI]

Diego Hernán Peluffo-Ordóñez

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Kernel spectral clustering for dynamic data using multiple kernel learning.

[BibT_eX]

[DOI]

Sergio García-Vega

Germán Castellanos-Domínguez

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Non-parallel semi-supervised classification based on kernel spectral clustering.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Soft kernel spectral clustering.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Fixed-size Pegasos for hinge and pinball loss SVM.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

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

[BibT_eX]

[DOI]

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Primal-Dual Framework for Feature Selection using Least Squares Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Management of Data, 2013

DynOpt: Incorporating dynamics into mean-variance portfolio optimization.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2013

Kernel spectral clustering for predicting maintenance of industrial machines.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Supervised Novelty Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Self-tuned kernel spectral clustering for large scale networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Classification of Multichannel Signals With Cumulant-Based Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

Reducing the Number of Support Vectors of SVM Classifiers Using the Smoothed Separable Case Approximation.

[BibT_eX]

[DOI]

Dries Geebelen

IEEE Trans. Neural Networks Learn. Syst., 2012

Application of Kernel Principal Component Analysis for Single-Lead-ECG-Derived Respiration.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2012

Confidence bands for least squares support vector machine classifiers: A regression approach.

[BibT_eX]

[DOI]

Pattern Recognit., 2012

Optimized Data Fusion for Kernel k-Means Clustering.

[BibT_eX]

[DOI]

Shi Yu

Léon-Charles Tranchevent

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Hierarchical kernel spectral clustering.

[BibT_eX]

[DOI]

Neural Networks, 2012

Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface.

[BibT_eX]

[DOI]

Neurocomputing, 2012

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

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2012

LS-SVM approximate solution to linear time varying descriptor systems.

[BibT_eX]

[DOI]

Autom., 2012

Kernel spectral clustering for community detection in complex networks.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Robustness of kernel based regression: Influence and weight functions.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A semi-supervised formulation to binary kernel spectral clustering.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Joint Regression and Linear Combination of Time Series for Optimal Prediction.

[BibT_eX]

[DOI]

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Interval coded scoring systems for survival analysis.

[BibT_eX]

[DOI]

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

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

[BibT_eX]

[DOI]

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2011

First and Second Order SMO Algorithms for LS-SVM Classifiers.

[BibT_eX]

[DOI]

Jorge López Lázaro

Neural Process. Lett., 2011

A kernel-based framework to tensorial data analysis.

[BibT_eX]

[DOI]

Lieven De Lathauwer

Neural Networks, 2011

Sparse conjugate directions pursuit with application to fixed-size kernel models.

[BibT_eX]

[DOI]

Mach. Learn., 2011

Kernel Regression in the Presence of Correlated Errors.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Learning Transformation Models for Ranking and Survival Analysis.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Sparse kernel spectral clustering models for large-scale data analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2011

On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation.

[BibT_eX]

[DOI]

Lutgarde M. C. Buydens

Comput. Biol. Medicine, 2011

Optimized data fusion for K-means Laplacian clustering.

[BibT_eX]

[DOI]

Shi Yu

Xinhai Liu

Léon-Charles Tranchevent

Bioinform., 2011

Improved performance on high-dimensional survival data by application of Survival-SVM.

[BibT_eX]

[DOI]

Bioinform., 2011

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

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2011

Modularity-based model selection for kernel spectral clustering.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Out-of-sample eigenvectors in kernel spectral clustering.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Automatic Seizure Detection Incorporating Structural Information.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Symbolic computing of LS-SVM based models.

[BibT_eX]

[DOI]

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Sparse LS-SVMs with L0 - norm minimization.

[BibT_eX]

[DOI]

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Improved dual decomposition based optimization for DSL dynamic spectrum management.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Coupled Simulated Annealing.

[BibT_eX]

[DOI]

Samuel Xavier de Souza

Désiré Bollé

IEEE Trans. Syst. Man Cybern. Part B, 2010

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

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Robustness of reweighted Least Squares Kernel Based Regression.

[BibT_eX]

[DOI]

J. Multivar. Anal., 2010

Optimized fixed-size kernel models for large data sets.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2010

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

[BibT_eX]

[DOI]

Shi Yu

Anneleen Daemen

Léon-Charles Tranchevent

Yves Moreau

BMC Bioinform., 2010

Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition in Bioinformatics, 2010

Polynomial componentwise LS-SVM: Fast variable selection using low rank updates.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

Kernel-Based Learning from Infinite Dimensional 2-Way Tensors.

[BibT_eX]

[DOI]

Lieven De Lathauwer

Proceedings of the Artificial Neural Networks, 2010

Efficient adaptive filtering for smooth linear FIR models.

[BibT_eX]

[DOI]

Toon van Waterschoot

Proceedings of the 18th European Signal Processing Conference, 2010

On the use of a clinical kernel in survival analysis.

[BibT_eX]

[DOI]

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Highly sparse kernel spectral clustering with predictive out-of-sample extensions.

[BibT_eX]

[DOI]

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Improved non-parametric sparse recovery with data matched penalties.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

Fast primal-dual projected linear iterations for distributed consensus in constrained convex optimization.

[BibT_eX]

[DOI]

Ioan Dumitrache

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Nuclear norm regularization for overparametrized Hammerstein systems.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Linear parametric noise models for Least Squares Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Least conservative support and tolerance tubes.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2009

P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface.

[BibT_eX]

[DOI]

Refet Firat Yazicioglu

Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

A regularized formulation for spectral clustering with pairwise constraints.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2009

Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2009

Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

MINLIP: Efficient Learning of Transformation Models.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

An improved dual decomposition approach to DSL dynamic spectrum management.

[BibT_eX]

[DOI]

Proceedings of the 17th European Signal Processing Conference, 2009

A dual interior-point distributed algorithm for large-scale data networks optimization.

[BibT_eX]

[DOI]

Proceedings of the 10th European Control Conference, 2009

Transductively Learning from Positive Examples Only.

[BibT_eX]

[DOI]

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Distributed nonlinear optimal control using sequential convex programming and smoothing techniques.

[BibT_eX]

[DOI]

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Robustness analysis for Least Squares kernel based regression: an optimization approach.

[BibT_eX]

[DOI]

M. Carmen Martínez-Bisbal

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI.

[BibT_eX]

[DOI]

Bernardo Celda

Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

2008

Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Application of a Smoothing Technique to Decomposition in Convex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2008

Low rank updated LS-SVM classifiers for fast variable selection.

[BibT_eX]

[DOI]

Fabian Ojeda

Neural Networks, 2008

A regularized kernel CCA contrast function for ICA.

[BibT_eX]

[DOI]

Neural Networks, 2008

Robust triple mode MPC.

[BibT_eX]

[DOI]

Int. J. Control, 2008

Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2008

Survival SVM: a practical scalable algorithm.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

A proximal center-based decomposition method for multi-agent convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Application of the proximal center decomposition method to distributed model predictive control.

[BibT_eX]

[DOI]

Minh Dang Doan

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007

A Convex Approach to Validation-Based Learning of the Regularization Constant.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2007

Bagging Linear Sparse Bayesian Learning Models for Variable Selection in Cancer Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Technol. Biomed., 2007

Efficiently updating and tracking the dominant kernel principal components.

[BibT_eX]

[DOI]

Neural Networks, 2007

Margin based Transductive Graph Cuts using Linear Programming.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Partial Synchronization in oscillator Arrays with Asymmetric Coupling.

[BibT_eX]

[DOI]

Int. J. Bifurc. Chaos, 2007

Support and Quantile Tubes

[BibT_eX]

[DOI]

CoRR, 2007

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

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2007

A Risk Minimization Principle for a Class of Parzen Estimators.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Transductive Rademacher Complexities for Learning Over a Graph.

[BibT_eX]

[DOI]

Proceedings of the Mining and Learning with Graphs, 2007

Fixed-size kernel logistic regression for phoneme classification.

[BibT_eX]

[DOI]

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

Variable selection by rank-one updates for least squares support vector machines.

[BibT_eX]

[DOI]

Fabian Ojeda

Proceedings of the International Joint Conference on Neural Networks, 2007

Multi-class kernel logistic regression: a fixed-size implementation.

[BibT_eX]

[DOI]

Peter Karsmakers

Proceedings of the International Joint Conference on Neural Networks, 2007

ICA through an LS-SVM based Kernel CCA Measure for Independence.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

State-of-the-Art and Evolution in Public Data Sets and Competitions for System Identification, Time Series Prediction and Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

Convex optimization for the design of learning machines.

[BibT_eX]

[DOI]

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006

Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods.

[BibT_eX]

[DOI]

Mach. Learn., 2006

Learning of spatiotemporal behaviour in cellular neural networks.

[BibT_eX]

[DOI]

Samuel Xavier de Souza

Int. J. Circuit Theory Appl., 2006

Spatiotemporal Pattern Formation on the ACE16K CNN Chip.

[BibT_eX]

[DOI]

Int. J. Bifurc. Chaos, 2006

Bayesian kernel based classification for financial distress detection.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2006

A process model to develop an internal rating system: Sovereign credit ratings.

[BibT_eX]

[DOI]

Decis. Support Syst., 2006

Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting.

[BibT_eX]

[DOI]

Comput. Manag. Sci., 2006

Multi-scroll and hypercube attractors from Josephson junctions.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Robust synthesis of constrained linear state feedback using LMIs and polyhedral invariant sets.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2006

2005

Subspace identification of Hammerstein systems using least squares support vector machines.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2005

Kernel based partially linear models and nonlinear identification.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2005

Min-max feedback MPC using a time-varying terminal constraint set and comments on "Efficient robust constrained model predictive control with a time-varying terminal constraint set".

[BibT_eX]

[DOI]

Syst. Control. Lett., 2005

Primal-Dual Monotone Kernel Regression.

[BibT_eX]

[DOI]

Neural Process. Lett., 2005

Handling missing values in support vector machine classifiers.

[BibT_eX]

[DOI]

Neural Networks, 2005

Building sparse representations and structure determination on LS-SVM substrates.

[BibT_eX]

[DOI]

Neurocomputing, 2005

The differogram: Non-parametric noise variance estimation and its use for model selection.

[BibT_eX]

[DOI]

Neurocomputing, 2005

Subset based least squares subspace regression in RKHS.

[BibT_eX]

[DOI]

Neurocomputing, 2005

Componentwise Least Squares Support Vector Machines

[BibT_eX]

[DOI]

CoRR, 2005

M@CBETH: a microarray classification benchmarking tool.

[BibT_eX]

[DOI]

Bioinform., 2005

Constrained linear MPC with time-varying terminal cost using convex combinations.

[BibT_eX]

[DOI]

Autom., 2005

Identification of MIMO Hammerstein models using least squares support vector machines.

[BibT_eX]

[DOI]

Autom., 2005

Load Forecasting Using Fixed-Size Least Squares Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Spatiotemporal pattern formation in the ACE16k CNN chip.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Componentwise Support Vector Machines for Structure Detection.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

M@CBETH: Optimizing Clinical Microarray Classification.

[BibT_eX]

[DOI]

Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

Interpolation based robust MPC with exact constraint handling.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

On Model Complexity Control in Identification of Hammerstein Systems.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Subspace intersection identification of Hammerstein-Wiener systems.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Imposing Symmetry in Least Squares Support Vector Machines Regression.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Interpolation based MPC for LPV systems using polyhedral invariant sets.

[BibT_eX]

[DOI]

John Anthony Rossiter

Proceedings of the American Control Conference, 2005

The efficient computation of polyhedral invariant sets for linear systems with polytopic uncertainty.

[BibT_eX]

[DOI]

John Anthony Rossiter

Proceedings of the American Control Conference, 2005

2004

True random bit generation from a double-scroll attractor.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. I Regul. Pap., 2004

Toward CNN chip-specific robustness.

[BibT_eX]

[DOI]

Samuel Xavier de Souza

IEEE Trans. Circuits Syst. I Regul. Pap., 2004

Benchmarking Least Squares Support Vector Machine Classifiers.

[BibT_eX]

[DOI]

Mach. Learn., 2004

Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction.

[BibT_eX]

[DOI]

Bioinform., 2004

Brain tumor classification based on long echo proton MRS signals.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2004

Learning from General Label Constraints.

[BibT_eX]

[DOI]

Tijl De Bie

Proceedings of the Structural, 2004

A double scroll based true random bit generator.

[BibT_eX]

Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Sparse LS-SVMs using additive regularization with a penalized validation criterion.

[BibT_eX]

[DOI]

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

Robust finite-horizon MPC using optimal worst-case closed-loop predictions.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Linear MPC with time-varying terminal cost using sparse convex combinations and bisection search.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Partially linear models and least squares support vector machines.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2003

Identification of positive real models in subspace identification by using regularization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2003

Benchmarking state-of-the-art classification algorithms for credit scoring.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2003

Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2003

Variogram based noise variance estimation and its use in kernel based regression.

[BibT_eX]

[DOI]

Proceedings of the NNSP 2003, 2003

Coupled chaotic simulated annealing processes.

[BibT_eX]

[DOI]

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

Kernel PLS variants for regression.

[BibT_eX]

[DOI]

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

Bankruptcy prediction with least squares support vector machine classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

Least squares support vector machines and primal space estimation.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2003

2002

Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes.

[BibT_eX]

[DOI]

Neural Process. Lett., 2002

Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis.

[BibT_eX]

[DOI]

Neural Comput., 2002

Weighted least squares support vector machines: robustness and sparse approximation.

[BibT_eX]

[DOI]

Neurocomputing, 2002

Families of scroll Grid attractors.

[BibT_eX]

[DOI]

Int. J. Bifurc. Chaos, 2002

Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models.

[BibT_eX]

[DOI]

Bart Hamers

Proceedings of the Artificial Neural Networks, 2002

Robust Cross-Validation Score Function for Non-linear Function Estimation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals.

[BibT_eX]

[DOI]

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Prediction of mental development of preterm newborns at birth time using LS-SVM.

[BibT_eX]

[DOI]

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Least Squares Support Vector Machines

[BibT_eX]

[DOI]

World Scientific, ISBN: 978-981-4487-59-7, 2002

2001

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2001

Identification of stable models in subspace identification by using regularization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2001

Optimal control by least squares support vector machines.

[BibT_eX]

[DOI]

Neural Networks, 2001

Improved Long-Term Temperature Prediction by Chaining of Neural Networks.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2001

Knowledge discovery in a direct marketing case using least squares support vector machines.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2001

Master-Slave Synchronization of Lur'e Systems with Time-Delay.

[BibT_eX]

[DOI]

Int. J. Bifurc. Chaos, 2001

Intelligence and Cooperative Search by Coupled Local Minimizers.

[BibT_eX]

[DOI]

Int. J. Bifurc. Chaos, 2001

Support Vector Machines: A Nonlinear Modelling and Control Perspective.

[BibT_eX]

[DOI]

Eur. J. Control, 2001

Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

Automatic relevance determination for Least Squares Support Vector Machines classifiers.

[BibT_eX]

[DOI]

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000

Robust local stability of multilayer recurrent neural networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2000

Chaos Synchronization: a Lagrange Programming Network Approach.

[BibT_eX]

[DOI]

Int. J. Bifurc. Chaos, 2000

Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

An empirical assessment of kernel type performance for least squares support vector machine classifiers.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Sparse approximation using least squares support vector machines.

[BibT_eX]

[DOI]

Lukas Lukas

Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

The K.U.Leuven competition data: a challenge for advanced neural network techniques.

[BibT_eX]

[DOI]

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

Sparse least squares Support Vector Machine classifiers.

[BibT_eX]

[DOI]

Lukas Lukas

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

Imposing stability in subspace identification by regularization.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1999

Training multilayer perceptron classifiers based on a modified support vector method.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1999

Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 1999

Least Squares Support Vector Machine Classifiers.

[BibT_eX]

[DOI]

Neural Process. Lett., 1999

Chaos control using least‐squares support vector machines.

[BibT_eX]

[DOI]

Int. J. Circuit Theory Appl., 1999

On the realization of n-scroll attractors.

[BibT_eX]

[DOI]

Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Continuous time NLq theory: absolute stability criteria.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference Neural Networks, 1999

Multiclass least squares support vector machines.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference Neural Networks, 1999

1998

On-Line Learning Fokker-Planck Machine.

[BibT_eX]

[DOI]

Herman Verrelst

Neural Process. Lett., 1998

Application of NLq Neural Control Theory to a Ball and Beam System.

[BibT_eX]

[DOI]

Eur. J. Control, 1998

Improved generalization ability of neurocontrollers by imposing NLq stability constraints.

[BibT_eX]

[DOI]

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997

NLq theory: checking and imposing stability of recurrent neural networks for nonlinear modeling.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 1997

NLq Theory: A Neural Control Framework with Global Asymptotic Stability Criteria.

[BibT_eX]

[DOI]

Neural Networks, 1997

Robust NLq neural control theory.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

Modelling the Belgian Gas Consumption Using Neural Networks.

[BibT_eX]

[DOI]

Neural Process. Lett., 1996

Discrete Time Interconnected Cellular Neural Networks Within NLq Theory.

[BibT_eX]

[DOI]

Int. J. Circuit Theory Appl., 1996

Artificial neural networks for modelling and control of non-linear systems.

[BibT_eX]

Kluwer, ISBN: 978-0-7923-9678-9, 1996

1995

Generalized Cellular Neural Networks Represented in he NLq Framework.

[BibT_eX]

[DOI]

Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

On the identification of a chaotic system by means of recurrent neural state space models.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Global asymptotic stability criteria for multilayer recurrent neural networks with applications to modelling and control.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

NLq theory: unifications in the theory of neural networks, systems and control.

[BibT_eX]

[DOI]

Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1994

Static and dynamic stabilizing neural controllers, applicable to transition between equilibrium points.

[BibT_eX]

[DOI]