Extending kernel principal component analysis to general underlying loss functions. - Carlos Alzate; Johan A. K. Suykens (IJCNN, 2005)

A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods. - Carlos Alzate; Johan A. K. Suykens (IJCNN, 2006)

ICA through an LS-SVM based Kernel CCA Measure for Independence. - Carlos Alzate; Johan A. K. Suykens (IJCNN, 2007)

Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition. - Carlos Alzate; Johan A. K. Suykens (IJCNN, 2008)

A regularized kernel CCA contrast function for ICA. - Carlos Alzate; Johan A. K. Suykens (Neural Networks, 2008)

Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function. - Carlos Alzate; Johan A. K. Suykens (IEEE Trans. Neural Networks, 2008)

Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering. - Carlos Alzate; Marcelo Espinoza; Bart De Moor; Johan A. K. Suykens (ICANN (2), 2009)

A regularized formulation for spectral clustering with pairwise constraints. - Carlos Alzate; Johan A. K. Suykens (IJCNN, 2009)

Highly sparse kernel spectral clustering with predictive out-of-sample extensions. - Carlos Alzate; Johan A. K. Suykens (ESANN, 2010)

Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA. - Carlos Alzate; Johan A. K. Suykens (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Symbolic computing of LS-SVM based models. - Siamak Mehrkanoon; Li Jiang; Carlos Alzate; Johan A. K. Suykens (ESANN, 2011)

Out-of-sample eigenvectors in kernel spectral clustering. - Carlos Alzate; Johan A. K. Suykens (IJCNN, 2011)

Modularity-based model selection for kernel spectral clustering. - Rocco Langone; Carlos Alzate; Johan A. K. Suykens (IJCNN, 2011)

Sparse kernel spectral clustering models for large-scale data analysis. - Carlos Alzate; Johan A. K. Suykens (Neurocomputing, 2011)

A semi-supervised formulation to binary kernel spectral clustering. - Carlos Alzate; Johan A. K. Suykens (IJCNN, 2012)

Kernel spectral clustering for community detection in complex networks. - Rocco Langone; Carlos Alzate; Johan A. K. Suykens (IJCNN, 2012)

Hierarchical kernel spectral clustering. - Carlos Alzate; Johan A. K. Suykens (Neural Networks, 2012)

Kernel spectral clustering for predicting maintenance of industrial machines. - Rocco Langone; Carlos Alzate; Bart De Ketelaere; Johan A. K. Suykens (CIDM, 2013)

Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters. - Carlos Alzate; Mathieu Sinn (ICDM, 2013)

Alarm prediction in industrial machines using autoregressive LS-SVM models. - Rocco Langone; Carlos Alzate; Abdellatif Bey-Temsamani; Johan A. K. Suykens (CIDM, 2014)

Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. - Noam Slonim; Ehud Aharoni; Carlos Alzate; Roy Bar-Haim; Yonatan Bilu; Lena Dankin; Iris Eiron; Daniel Hershcovich; Shay Hummel; Mitesh M. Khapra; Tamar Lavee; Ran Levy 001; et al. (COLING (Demos), 2014)

Optimal Data Projection for Kernel Spectral Clustering. - Diego Hernán Peluffo-Ordóñez; Carlos Alzate; Johan A. K. Suykens; Germán Castellanos-Domínguez (ESANN, 2014)

Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection. - Ruty Rinott; Lena Dankin; Carlos Alzate Perez; Mitesh M. Khapra; Ehud Aharoni; Noam Slonim (EMNLP, 2015)

Kernel Spectral Clustering and applications. - Rocco Langone; Raghvendra Mall; Carlos Alzate; Johan A. K. Suykens (CoRR, 2015)

LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines. - Rocco Langone; Carlos Alzate; Bart De Ketelaere; Jonas Vlasselaer; Wannes Meert; Johan A. K. Suykens (Eng. Appl. Artif. Intell., 2015)

Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering. - Siamak Mehrkanoon; Carlos Alzate; Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (IEEE Trans. Neural Networks Learn. Syst., 2015)

Noise Level Estimation for Model Selection in Kernel PCA Denoising. - Carolina Varon; Carlos Alzate; Johan A. K. Suykens (IEEE Trans. Neural Networks Learn. Syst., 2015)

Chemical Reactant Recommendation Using a Network of Organic Chemistry. - John Savage; Akihiro Kishimoto; Beat Buesser; Ernesto Diaz-Aviles; Carlos Alzate (RecSys, 2017)

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining. - Eyal Shnarch; Carlos Alzate; Lena Dankin; Martin Gleize; Yufang Hou 001; Leshem Choshen; Ranit Aharonov; Noam Slonim (ACL (2), 2018)

Corpus Wide Argument Mining - A Working Solution. - Liat Ein-Dor; Eyal Shnarch; Lena Dankin; Alon Halfon; Benjamin Sznajder; Ariel Gera; Carlos Alzate; Martin Gleize; Leshem Choshen; Yufang Hou 001; Yonatan Bilu; Ranit Aharonov; et al. (AAAI, 2020)

Discovering New Social Determinants of Health Concepts from Unstructured Data: Framework and Evaluation. - Joao H. Bettencourt-Silva; Natalia Mulligan; Marco Luca Sbodio; John Segrave-Daly; Richard Williams 001; Vanessa López; Carlos Alzate (MIE, 2020)

An autonomous debating system. - Noam Slonim; Yonatan Bilu; Carlos Alzate; Roy Bar-Haim; Ben Bogin; Francesca Bonin; Leshem Choshen; Edo Cohen-Karlik; Lena Dankin; Lilach Edelstein; Liat Ein-Dor; Roni Friedman-Melamed; et al. (Nat., 2021)

Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems. - Mihaly Novak; Rocco Langone; Carlos Alzate; Johan A. K. Suykens (CoRR, 2023)