Carlos Alzate

According to our database, Carlos Alzate authored at least 32 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems.

Mihaly Novak, Rocco Langone, Carlos Alzate, Johan A. K. Suykens

CoRR, 2023

2021

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, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian, Ranit Aharonov

Nat., 2021

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, Vanessa López, Carlos Alzate

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

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

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Chemical Reactant Recommendation Using a Network of Organic Chemistry.

John Savage, Akihiro Kishimoto, Beat Buesser, Ernesto Diaz-Aviles, Carlos Alzate

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

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

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

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

Kernel Spectral Clustering and applications.

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

CoRR, 2015

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

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Optimal Data Projection for Kernel Spectral Clustering.

Diego Hernán Peluffo-Ordóñez, Carlos Alzate, Johan A. K. Suykens, Germán Castellanos-Domínguez

Proceedings of the 22th European Symposium on Artificial Neural Networks, 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, Paul Matchen, Anatoly Polnarov, Vikas C. Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund

Proceedings of the COLING 2014, 2014

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

Rocco Langone, Carlos Alzate, Abdellatif Bey-Temsamani, Johan A. K. Suykens

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

2013

Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters.

Carlos Alzate, Mathieu Sinn

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Kernel spectral clustering for predicting maintenance of industrial machines.

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

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

2012

Hierarchical kernel spectral clustering.

Carlos Alzate, Johan A. K. Suykens

Neural Networks, 2012

Kernel spectral clustering for community detection in complex networks.

Rocco Langone, Carlos Alzate, Johan A. K. Suykens

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

A semi-supervised formulation to binary kernel spectral clustering.

Carlos Alzate, Johan A. K. Suykens

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

2011

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

Carlos Alzate, Johan A. K. Suykens

Neurocomputing, 2011

Modularity-based model selection for kernel spectral clustering.

Rocco Langone, Carlos Alzate, Johan A. K. Suykens

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

Out-of-sample eigenvectors in kernel spectral clustering.

Carlos Alzate, Johan A. K. Suykens

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

Symbolic computing of LS-SVM based models.

Siamak Mehrkanoon, Li Jiang, Carlos Alzate, Johan A. K. Suykens

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

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

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

Carlos Alzate, Johan A. K. Suykens

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

2009

A regularized formulation for spectral clustering with pairwise constraints.

Carlos Alzate, Johan A. K. Suykens

Proceedings of the International Joint Conference on Neural Networks, 2009

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

Carlos Alzate, Marcelo Espinoza, Bart De Moor, Johan A. K. Suykens

Proceedings of the Artificial Neural Networks, 2009

2008

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

Carlos Alzate, Johan A. K. Suykens

IEEE Trans. Neural Networks, 2008

A regularized kernel CCA contrast function for ICA.

Carlos Alzate, Johan A. K. Suykens

Neural Networks, 2008

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

Carlos Alzate, Johan A. K. Suykens

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

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

Carlos Alzate, Johan A. K. Suykens

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

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

Carlos Alzate, Johan A. K. Suykens

Proceedings of the International Joint Conference on Neural Networks, 2006