| 2020 | AAAI | 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, Yonatan Bilu, Ranit Aharonov, Noam Slonim |
| 2018 | ACL | 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, Leshem Choshen, Ranit Aharonov, Noam Slonim |
| 2017 | RecSys | Chemical Reactant Recommendation Using a Network of Organic Chemistry. | John Savage, Akihiro Kishimoto, Beat Buesser, Ernesto Diaz-Aviles, Carlos Alzate |
| 2014 | CIDM | Alarm prediction in industrial machines using autoregressive LS-SVM models. | Rocco Langone, Carlos Alzate, Abdellatif Bey-Temsamani, Johan A. K. Suykens |
| 2014 | COLING | 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, Paul Matchen, Anatoly Polnarov, Vikas C. Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund |
| 2014 | ESANN | Optimal Data Projection for Kernel Spectral Clustering. | Diego Hernn Peluffo-Ordez, Carlos Alzate, Johan A. K. Suykens, Germn Castellanos-Domnguez |
| 2013 | CIDM | Kernel spectral clustering for predicting maintenance of industrial machines. | Rocco Langone, Carlos Alzate, Bart De Ketelaere, Johan A. K. Suykens |
| 2013 | ICDM | Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters. | Carlos Alzate, Mathieu Sinn |
| 2012 | IJCNN | A semi-supervised formulation to binary kernel spectral clustering. | Carlos Alzate, Johan A. K. Suykens |
| 2012 | IJCNN | Kernel spectral clustering for community detection in complex networks. | Rocco Langone, Carlos Alzate, Johan A. K. Suykens |
| 2011 | ESANN | Symbolic computing of LS-SVM based models. | Siamak Mehrkanoon, Li Jiang, Carlos Alzate, Johan A. K. Suykens |
| 2011 | IJCNN | Out-of-sample eigenvectors in kernel spectral clustering. | Carlos Alzate, Johan A. K. Suykens |
| 2011 | IJCNN | Modularity-based model selection for kernel spectral clustering. | Rocco Langone, Carlos Alzate, Johan A. K. Suykens |
| 2010 | ESANN | Highly sparse kernel spectral clustering with predictive out-of-sample extensions. | Carlos Alzate, Johan A. K. Suykens |
| 2009 | ICANN | Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering. | Carlos Alzate, Marcelo Espinoza, Bart De Moor, Johan A. K. Suykens |
| 2009 | IJCNN | A regularized formulation for spectral clustering with pairwise constraints. | Carlos Alzate, Johan A. K. Suykens |
| 2008 | IJCNN | Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition. | Carlos Alzate, Johan A. K. Suykens |
| 2007 | IJCNN | ICA through an LS-SVM based Kernel CCA Measure for Independence. | Carlos Alzate, Johan A. K. Suykens |
| 2006 | IJCNN | A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods. | Carlos Alzate, Johan A. K. Suykens |
| 2005 | IJCNN | Extending kernel principal component analysis to general underlying loss functions. | Carlos Alzate, Johan A. K. Suykens |