LS-SVMlab toolbox user's guide: version 1.7 K De Brabanter, P Karsmakers, F Ojeda, C Alzate, J De Brabanter, ... Katholieke Universiteit Leuven, 2010 | 293 | 2010 |
LS-SVMlab toolbox user's guide: version 1.7 K De Brabanter, P Karsmakers, F Ojeda, C Alzate, J De Brabanter, ... Katholieke Universiteit Leuven, 2010 | 293 | 2010 |
Multiway spectral clustering with out-of-sample extensions through weighted kernel PCA C Alzate, JAK Suykens IEEE transactions on pattern analysis and machine intelligence 32 (2), 335-347, 2008 | 249 | 2008 |
Show me your evidence-an automatic method for context dependent evidence detection R Rinott, L Dankin, C Alzate, MM Khapra, E Aharoni, N Slonim Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 165 | 2015 |
LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines R Langone, C Alzate, B De Ketelaere, J Vlasselaer, W Meert, ... Engineering Applications of Artificial Intelligence 37, 268-278, 2015 | 67 | 2015 |
Kernel component analysis using an epsilon-insensitive robust loss function C Alzate, JAK Suykens IEEE Transactions on Neural Networks 19 (9), 1583-1598, 2008 | 58 | 2008 |
Improved electricity load forecasting via kernel spectral clustering of smart meters C Alzate, M Sinn 2013 IEEE 13th International Conference on Data Mining, 943-948, 2013 | 56 | 2013 |
Multiclass semisupervised learning based upon kernel spectral clustering S Mehrkanoon, C Alzate, R Mall, R Langone, JAK Suykens IEEE transactions on neural networks and learning systems 26 (4), 720-733, 2014 | 49 | 2014 |
Primal and dual model representations in kernel-based learning JAK Suykens, C Alzate, K Pelckmans Statistics Surveys 4, 148-183, 2010 | 39 | 2010 |
Kernel spectral clustering with memory effect R Langone, C Alzate, JAK Suykens Physica A: Statistical Mechanics and its Applications 392 (10), 2588-2606, 2013 | 34 | 2013 |
A weighted kernel PCA formulation with out-of-sample extensions for spectral clustering methods C Alzate, JAK Suykens The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 32 | 2006 |
Sparse kernel spectral clustering models for large-scale data analysis C Alzate, JAK Suykens Neurocomputing 74 (9), 1382-1390, 2011 | 31 | 2011 |
Hierarchical kernel spectral clustering C Alzate, JAK Suykens Neural Networks 35, 21-30, 2012 | 30 | 2012 |
A regularized kernel CCA contrast function for ICA C Alzate, JAK Suykens Neural Networks 21 (2-3), 170-181, 2008 | 30 | 2008 |
Noise level estimation for model selection in kernel PCA denoising C Varon, C Alzate, JAK Suykens IEEE transactions on neural networks and learning systems 26 (11), 2650-2663, 2015 | 28 | 2015 |
Image segmentation using a weighted kernel PCA approach to spectral clustering C Alzate, JAK Suykens 2007 IEEE Symposium on Computational Intelligence in Image and Signal …, 2007 | 28 | 2007 |
Sparse kernel models for spectral clustering using the incomplete cholesky decomposition C Alzate, JAK Suykens 2008 IEEE international joint conference on neural networks (IEEE world …, 2008 | 26 | 2008 |
Will it blend? blending weak and strong labeled data in a neural network for argumentation mining E Shnarch, C Alzate, L Dankin, M Gleize, Y Hou, L Choshen, R Aharonov, ... Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 24 | 2018 |
Identifying customer profiles in power load time series using spectral clustering C Alzate, M Espinoza, B De Moor, JAK Suykens International Conference on Artificial Neural Networks, 315-324, 2009 | 23 | 2009 |
Kernel spectral clustering and applications R Langone, R Mall, C Alzate, JAK Suykens Unsupervised Learning Algorithms, 135-161, 2016 | 22 | 2016 |