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1

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

Karevan, Zahra, Suykens, Johan A.K.

Journal:

Neural Networks

Year:

2020

File:

PDF, 2.12 MB

2020

2

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

Langone, Rocco, Alzate, Carlos, De Ketelaere, Bart, Vlasselaer, Jonas, Meert, Wannes, Suykens, Johan A.K.

Journal:

Engineering Applications of Artificial Intelligence

Year:

2015

Language:

english

File:

PDF, 1.85 MB

english, 2015

3

DISCRETE TIME INTERCONNECTED CELLULAR NEURAL NETWORKS WITHIN NLq THEORY

SUYKENS, JOHAN A. K., VANDEWALLE, JOOS

Journal:

International Journal of Circuit Theory and Applications

Year:

1996

Language:

english

File:

PDF, 617 KB

english, 1996

4

[Academic Press Library in Signal Processing] Academic Press Library in Signal Processing: Volume 1 - Signal Processing Theory and Machine Learning Volume 1 || Introduction to Machine Learning

Suykens, Johan A.K.

Year:

2014

Language:

english

File:

PDF, 197 KB

english, 2014

5

Benchmarking Least Squares Support Vector Machine Classifiers

Tony van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart de Moor, Joos Vandewalle

Journal:

Machine Learning

Year:

2004

Language:

english

File:

PDF, 263 KB

english, 2004

6

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

Signoretto, Marco, Tran Dinh, Quoc, Lathauwer, Lieven, Suykens, Johan A. K.

Journal:

Machine Learning

Year:

2014

Language:

english

File:

PDF, 2.55 MB

english, 2014

7

Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering

Mehrkanoon, Siamak, Alzate, Carlos, Mall, Raghvendra, Langone, Rocco, Suykens, Johan A. K.

Journal:

IEEE Transactions on Neural Networks and Learning Systems

Year:

2015

Language:

english

File:

PDF, 4.88 MB

english, 2015

8

Artificial Neural Networks for Modelling and Control of Non-Linear Systems ||

Suykens, Johan A. K., Vandewalle, Joos P. L., De Moor, Bart L. R.

Year:

1996

Language:

english

File:

PDF, 17.24 MB

english, 1996

9

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

Frandi, Emanuele, Ñanculef, Ricardo, Lodi, Stefano, Sartori, Claudio, Suykens, Johan A. K.

Journal:

Machine Learning

Year:

2016

Language:

english

File:

PDF, 951 KB

english, 2016

10

Correntropy Based Matrix Completion

Yang, Yuning, Feng, Yunlong, Suykens, Johan

Journal:

Year:

2018

Language:

english

File:

PDF, 2.37 MB

english, 2018

11

Generalized support vector regression: Duality and tensor-kernel representation

Salzo, Saverio, Suykens, Johan A. K.

Journal:

Analysis and Applications

Year:

2020

File:

PDF, 499 KB

2020

12

Tensor-based restricted kernel machines for multi-view classification

Houthuys, Lynn, Suykens, Johan A.K.

Journal:

Information Fusion

Year:

2021

File:

PDF, 769 KB

2021

13

Bayesian kernel based classification for financial distress detection

Tony Van Gestel, Bart Baesens, Johan A.K. Suykens, Dirk Van den Poel, Dirk-Emma Baestaens, Marleen Willekens

Journal:

European Journal of Operational Research

Year:

2006

Language:

english

File:

PDF, 445 KB

english, 2006

14

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

Jan Luts, Fabian Ojeda, Raf Van de Plas, Bart De Moor, Sabine Van Huffel, Johan A.K. Suykens

Journal:

Analytica Chimica Acta

Year:

2010

Language:

english

File:

PDF, 2.37 MB

english, 2010

15

Sparse kernel spectral clustering models for large-scale data analysis

Carlos Alzate, Johan A.K. Suykens

Journal:

Year:

2011

Language:

english

File:

PDF, 1.36 MB

english, 2011

16

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

Peter Karsmakers, Kristiaan Pelckmans, Kris De Brabanter, Hugo Van hamme, Johan A. K. Suykens

Journal:

Machine Learning

Year:

2011

Language:

english

File:

PDF, 1.62 MB

english, 2011

17

LS-SVM approximate solution to linear time varying descriptor systems

Siamak Mehrkanoon, Johan A.K. Suykens

Journal:

Year:

2012

Language:

english

File:

PDF, 557 KB

english, 2012

18

[IEEE 2007 International Joint Conference on Neural Networks - Orlando, FL, USA (2007.08.12-2007.08.17)] 2007 International Joint Conference on Neural Networks - Multi-class kernel logistic regression: a fixed-size implementation

Karsmakers, Peter, Pelckmans, Kristiaan, Suykens, Johan A. K.

Year:

2007

Language:

english

File:

PDF, 426 KB

english, 2007

19

Hinging Hyperplanes for Time-Series Segmentation

Xiaolin Huang,, Matijas, Marin, Suykens, Johan A. K.

Journal:

IEEE Transactions on Neural Networks and Learning Systems

Year:

2013

Language:

english

File:

PDF, 808 KB

english, 2013

20

Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression

De Brabanter, Kris, De Brabanter, Jos, Suykens, Johan A K, De Moor, Bart

Journal:

IEEE Transactions on Neural Networks

Year:

2011

Language:

english

File:

PDF, 737 KB

english, 2011

21

$k$ Gate Dielectrics]]>

De Brabanter, Kris, Degraeve, Robin, Suykens, Johan A. K., De Moor, Bart, Groeseneken, Guido, Sahhaf, Sahar

Journal:

IEEE Transactions on Device and Materials Reliability

Year:

2012

Language:

english

File:

PDF, 362 KB

english, 2012

22

Improved Initialization for Nonlinear State-Space Modeling

Marconato, Anna, Sjoberg, Jonas, Suykens, Johan A. K., Schoukens, Johan

Journal:

IEEE Transactions on Instrumentation and Measurement

Year:

2014

Language:

english

File:

PDF, 634 KB

english, 2014

23

[IEEE 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane) - Brisbane, Australia (2012.06.10-2012.06.15)] The 2012 International Joint Conference on Neural Networks (IJCNN) - A semi-supervised formulation to binary kernel spectral clustering

Alzate, Carlos, Suykens, Johan A. K.

Year:

2012

Language:

english

File:

PDF, 870 KB

english, 2012

24

[IEEE 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) - Singapore, Singapore (2013.04.16-2013.04.19)] 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) - Kernel spectral clustering for predicting maintenance of industrial machines

Langone, Rocco, Alzate, Carlos, De Ketelaere, Bart, Suykens, Johan A. K.

Year:

2013

Language:

english

File:

PDF, 2.25 MB

english, 2013

25

Two-level ℓ1 minimization for compressed sensing

Huang, Xiaolin, Liu, Yipeng, Shi, Lei, Van Huffel, Sabine, Suykens, Johan A.K.

Journal:

Signal Processing

Year:

2015

Language:

english

File:

PDF, 1024 KB

english, 2015

26

[IEEE 2014 International Joint Conference on Neural Networks (IJCNN) - Beijing, China (2014.7.6-2014.7.11)] 2014 International Joint Conference on Neural Networks (IJCNN) - Optimal reduced sets for sparse kernel spectral clustering

Mall, Raghvendra, Mehrkanoon, Siamak, Langone, Rocco, Suykens, Johan A.K.

Year:

2014

Language:

english

File:

PDF, 2.35 MB

english, 2014

27

Sequential minimal optimization for SVM with pinball loss

Huang, Xiaolin, Shi, Lei, Suykens, Johan A.K.

Journal:

Year:

2015

Language:

english

File:

PDF, 840 KB

english, 2015

28

[IEEE 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) - Kittila, Finland (2010.08.29-2010.09.1)] 2010 IEEE International Workshop on Machine Learning for Signal Processing - Error-related potential recorded by EEG in the context of a p300 mind speller brain-computer interface

Combaz, Adrien, Chumerin, Nikolay, Manyakov, Nikolay V., Robben, Arne, Suykens, Johan A. K., Van Hulle, Marc M.

Year:

2010

Language:

english

File:

PDF, 406 KB

english, 2010

29

Support Vector Machine Classifier With Pinball Loss

Xiaolin Huang,, Lei Shi,, Suykens, Johan A. K.

Journal:

IEEE Transactions on Pattern Analysis and Machine Intelligence

Year:

2014

Language:

english

File:

PDF, 1.98 MB

english, 2014

30

[IEEE 2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta) - Atlanta, Ga, USA (2009.06.14-2009.06.19)] 2009 International Joint Conference on Neural Networks - A regularized formulation for spectral clustering with pairwise constraints

Alzate, Carlos, Suykens, Johan A. K.

Year:

2009

Language:

english

File:

PDF, 8.34 MB

english, 2009

31

FAMILIES OF SCROLL GRID ATTRACTORS

YALÇIN, MÜŞTAK E., SUYKENS, JOHAN A. K., VANDEWALLE, JOOS, ÖZOĞUZ, SERDAR

Journal:

International Journal of Bifurcation and Chaos

Year:

2002

Language:

english

File:

PDF, 5.11 MB

english, 2002

32

Impulsive Control of Nonautonomous Chaotic Systems using Practical Stabilization

Yang, Tao, Suykens, Johan A. K., Chua, Leon O.

Journal:

International Journal of Bifurcation and Chaos

Year:

1998

Language:

english

File:

PDF, 394 KB

english, 1998

33

A CNN Approach to Brian-Like Chaos-Periodicity Transitions

Muñuzuri, Alberto P., Suykens, Johan A. K., Chua, Leon O.

Journal:

International Journal of Bifurcation and Chaos

Year:

1998

Language:

english

File:

PDF, 1.11 MB

english, 1998

34

Noise Level Estimation for Model Selection in Kernel PCA Denoising

Varon, Carolina, Alzate, Carlos, Suykens, Johan A. K.

Journal:

IEEE Transactions on Neural Networks and Learning Systems

Year:

2015

Language:

english

File:

PDF, 13.74 MB

english, 2015

35

[IEEE 2015 International Joint Conference on Neural Networks (IJCNN) - Killarney, Ireland (2015.7.12-2015.7.17)] 2015 International Joint Conference on Neural Networks (IJCNN) - Kernel spectral document clustering using unsupervised precision-recall metrics

Mall, Raghvendra, Suykens, Johan A.K.

Year:

2015

Language:

english

File:

PDF, 1.74 MB

english, 2015

36

Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery

Feng, Yunlong, Lv, Shao-Gao, Hang, Hanyuan, Suykens, Johan A. K.

Journal:

Neural Computation

Year:

2016

Language:

english

File:

PDF, 676 KB

english, 2016

37

[IEEE 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) - Orlando, FL, USA (2014.12.9-2014.12.12)] 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) - Clustering data over time using kernel spectral clustering with memory

Langone, Rocco, Mall, Raghvendra, Suykens, Johan A. K.

Year:

2014

Language:

english

File:

PDF, 916 KB

english, 2014

38

[IEEE 2016 International Joint Conference on Neural Networks (IJCNN) - Vancouver, BC, Canada (2016.7.24-2016.7.29)] 2016 International Joint Conference on Neural Networks (IJCNN) - Clustering-based feature selection for black-box weather temperature prediction

Karevan, Zahra, Suykens, Johan A.K.

Year:

2016

Language:

english

File:

PDF, 489 KB

english, 2016

39

NARX identification of hammerstein models using least squares support vector machines

Goethals, Ivan, Pelckmans, Kristiaan, Suykens, Johan A.K., Moor, Bart De

Journal:

IFAC Proceedings Volumes

Year:

2004

Language:

english

File:

PDF, 587 KB

english, 2004

40

Multi-View Kernel Spectral Clustering

Houthuys, Lynn, Langone, Rocco, Suykens, Johan A.K.

Journal:

Information Fusion

Year:

2018

Language:

english

File:

PDF, 997 KB

english, 2018

41

Indefinite kernel spectral learning

Mehrkanoon, Siamak, Huang, Xiaolin, Suykens, Johan A.K.

Journal:

Pattern Recognition

Year:

2018

Language:

english

File:

PDF, 1.68 MB

english, 2018

42

Deep hybrid neural-kernel networks using random Fourier features

Mehrkanoon, Siamak, Suykens, Johan A.K.

Journal:

Year:

2018

Language:

english

File:

PDF, 523 KB

english, 2018

43

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

Karevan, Zahra, Suykens, Johan

Journal:

Year:

2018

Language:

english

File:

PDF, 1.71 MB

english, 2018

44

Efficient hinging hyperplanes neural network and its application in nonlinear system identification

Xu, Jun, Tao, Qinghua, Li, Zhen, Xi, Xiangming, Suykens, Johan A.K., Wang, Shuning

Journal:

Year:

2020

Language:

english

File:

PDF, 860 KB

english, 2020

45

Learning with continuous piecewise linear decision trees

Tao, Qinghua, Li, Zhen, Xu, Jun, Xie, Na, Wang, Shuning, Suykens, Johan A.K.

Journal:

Expert Systems with Applications

Year:

2020

File:

PDF, 5.88 MB

2020

46

Learning of spatiotemporal behaviour in cellular neural networks

Samuel Xavier-de-Souza, Johan A. K. Suykens, Joos Vandewalle

Journal:

International Journal of Circuit Theory and Applications

Year:

2006

Language:

english

File:

PDF, 237 KB

english, 2006

47

A Bayesian nonlinear support vector machine error correction model

Tony Van Gestel, Marcelo Espinoza, Bart Baesens, Johan A. K. Suykens, Carine Brasseur, Bart De Moor

Journal:

Journal of Forecasting

Year:

2006

Language:

english

File:

PDF, 385 KB

english, 2006

48

Effect of feature extraction for brain tumor classification based on short echo time 1H MR spectra

Jan Luts, Jean-Baptiste Poullet, Juan M. Garcia-Gomez, Arend Heerschap, Montserrat Robles, Johan A. K. Suykens, Sabine Van Huffel

Journal:

Magnetic Resonance in Medicine

Year:

2008

Language:

english

File:

PDF, 523 KB

english, 2008

49

Nosologic imaging of the brain: segmentation and classification using MRI and MRSI

Jan Luts, Teresa Laudadio, Albert J. Idema, Arjan W. Simonetti, Arend Heerschap, Dirk Vandermeulen, Johan A. K. Suykens, Sabine Van Huffel

Journal:

NMR in Biomedicine

Year:

2009

Language:

english

File:

PDF, 810 KB

english, 2009

50

Identification of MIMO Hammerstein models using least squares support vector machines

Ivan Goethals, Kristiaan Pelckmans, Johan A.K. Suykens, Bart De Moor

Journal:

Year:

2005

Language:

english

File:

PDF, 455 KB

english, 2005