Carlos Alzate

36 papers A* 2A 1B 12C 2Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2023 J jnl
Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems.
CoRR
Mihály Novák, Rocco Langone, Carlos Alzate, Johan A. K. Suykens
2021 J jnl
An autonomous debating system.
Nat.
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
2020 A* conf
Corpus Wide Argument Mining - A Working Solution.
AAAI
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
2020 — conf
Discovering New Social Determinants of Health Concepts from Unstructured Data: Framework and Evaluation.
MIE
Joao H. Bettencourt-Silva, Natalia Mulligan, Marco Luca Sbodio, John Segrave-Daly, Richard Williams, Vanessa López, Carlos Alzate
2019 J jnl
Corpus Wide Argument Mining - a Working Solution.
CoRR
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
2019 — ed.
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers
DMLE/IOTSTREAMING@PKDD/ECML
Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed-Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro
2019 — ed.
ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings
MIDAS/PAP@PKDD/ECML
Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Céline Robardet, Tiziano Squartini
2019 — ed.
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings
Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML
Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn
2018 — conf
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining.
ACL (2)
Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim
2017 A conf
Chemical Reactant Recommendation Using a Network of Organic Chemistry.
RecSys
John Savage, Akihiro Kishimoto, Beat Buesser, Ernesto Diaz-Aviles, Carlos Alzate
2015 J jnl
Kernel Spectral Clustering and applications.
CoRR
Rocco Langone, Raghvendra Mall, Carlos Alzate, Johan A. K. Suykens
2015 J jnl
LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines.
Eng. Appl. Artif. Intell.
Rocco Langone, Carlos Alzate, Bart De Ketelaere, Jonas Vlasselaer, Wannes Meert, Johan A. K. Suykens
2015 J jnl
Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Siamak Mehrkanoon, Carlos Alzate, Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
2015 J jnl
Noise Level Estimation for Model Selection in Kernel PCA Denoising.
IEEE Trans. Neural Networks Learn. Syst.
Carolina Varon, Carlos Alzate, Johan A. K. Suykens
2014 C conf
Alarm prediction in industrial machines using autoregressive LS-SVM models.
CIDM
Rocco Langone, Carlos Alzate, Abdellatif Bey-Temsamani, Johan A. K. Suykens
2014 — conf
Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora.
COLING (Demos)
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 B conf
Optimal Data Projection for Kernel Spectral Clustering.
ESANN
Diego Hernán Peluffo-Ordóñez, Carlos Alzate, Johan A. K. Suykens, Germán Castellanos-Domínguez
2013 A* conf
Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters.
ICDM
Carlos Alzate, Mathieu Sinn
2013 C conf
Kernel spectral clustering for predicting maintenance of industrial machines.
CIDM
Rocco Langone, Carlos Alzate, Bart De Ketelaere, Johan A. K. Suykens
2012 B conf
A semi-supervised formulation to binary kernel spectral clustering.
IJCNN
Carlos Alzate, Johan A. K. Suykens
2012 J jnl
Hierarchical kernel spectral clustering.
Neural Networks
Carlos Alzate, Johan A. K. Suykens
2012 B conf
Kernel spectral clustering for community detection in complex networks.
IJCNN
Rocco Langone, Carlos Alzate, Johan A. K. Suykens
2011 B conf
Modularity-based model selection for kernel spectral clustering.
IJCNN
Rocco Langone, Carlos Alzate, Johan A. K. Suykens
2011 B conf
Out-of-sample eigenvectors in kernel spectral clustering.
IJCNN
Carlos Alzate, Johan A. K. Suykens
2011 J jnl
Sparse kernel spectral clustering models for large-scale data analysis.
Neurocomputing
Carlos Alzate, Johan A. K. Suykens
2011 B conf
Symbolic computing of LS-SVM based models.
ESANN
Siamak Mehrkanoon, Li Jiang, Carlos Alzate, Johan A. K. Suykens
2010 B conf
Highly sparse kernel spectral clustering with predictive out-of-sample extensions.
ESANN
Carlos Alzate, Johan A. K. Suykens
2010 J jnl
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA.
IEEE Trans. Pattern Anal. Mach. Intell.
Carlos Alzate, Johan A. K. Suykens
2009 B conf
A regularized formulation for spectral clustering with pairwise constraints.
IJCNN
Carlos Alzate, Johan A. K. Suykens
2009 — conf
Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering.
ICANN (2)
Carlos Alzate, Marcelo Espinoza, Bart De Moor, Johan A. K. Suykens
2008 J jnl
A regularized kernel CCA contrast function for ICA.
Neural Networks
Carlos Alzate, Johan A. K. Suykens
2008 J jnl
Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function.
IEEE Trans. Neural Networks
Carlos Alzate, Johan A. K. Suykens
2008 B conf
Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition.
IJCNN
Carlos Alzate, Johan A. K. Suykens
2007 B conf
ICA through an LS-SVM based Kernel CCA Measure for Independence.
IJCNN
Carlos Alzate, Johan A. K. Suykens
2006 B conf
A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods.
IJCNN
Carlos Alzate, Johan A. K. Suykens
2005 B conf
Extending kernel principal component analysis to general underlying loss functions.
IJCNN
Carlos Alzate, Johan A. K. Suykens