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Carlos Alzate
Person information
- affiliation: Katholieke Universiteit Leuven, Department of Electrical Engineering, Belgium
- affiliation: IBM Research, Smarter Cities Technology Center, Dublin, Ireland
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2020 – today
- 2023
- [i3]Mihaly Novak
, Rocco Langone, Carlos Alzate, Johan A. K. Suykens:
Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems. CoRR abs/2310.13381 (2023) - 2021
- [j9]Noam Slonim
An autonomous debating system. Nat. 591(7850): 379-384 (2021) - 2020
- [c21]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:
Corpus Wide Argument Mining - A Working Solution. AAAI 2020: 7683-7691 - [c20]Joao H. Bettencourt-Silva
Discovering New Social Determinants of Health Concepts from Unstructured Data: Framework and Evaluation. MIE 2020: 173-177
2010 – 2019
- 2019
- [e3]Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers. Communications in Computer and Information Science 967, Springer 2019, ISBN 978-3-030-14879-9 [contents] - [e2]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:
ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11054, Springer 2019, ISBN 978-3-030-13462-4 [contents] - [e1]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:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5 [contents] - [i2]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:
Corpus Wide Argument Mining - a Working Solution. CoRR abs/1911.10763 (2019) - 2018
- [c19]Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim:
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining. ACL (2) 2018: 599-605 - 2017
- [c18]John Savage, Akihiro Kishimoto, Beat Buesser, Ernesto Diaz-Aviles, Carlos Alzate:
Chemical Reactant Recommendation Using a Network of Organic Chemistry. RecSys 2017: 210-214 - 2015
- [j8]Rocco Langone
LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines. Eng. Appl. Artif. Intell. 37: 268-278 (2015) - [j7]Siamak Mehrkanoon
Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. 26(4): 720-733 (2015) - [j6]Carolina Varon
Noise Level Estimation for Model Selection in Kernel PCA Denoising. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2650-2663 (2015) - [c17]Ruty Rinott, Lena Dankin, Carlos Alzate Perez, Mitesh M. Khapra, Ehud Aharoni, Noam Slonim:
Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection. EMNLP 2015: 440-450 - [i1]Rocco Langone, Raghvendra Mall, Carlos Alzate, Johan A. K. Suykens:
Kernel Spectral Clustering and applications. CoRR abs/1505.00477 (2015) - 2014
- [c16]Rocco Langone
Alarm prediction in industrial machines using autoregressive LS-SVM models. CIDM 2014: 359-364 - [c15]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:
Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. COLING (Demos) 2014: 6-9 - [c14]Diego Hernán Peluffo-Ordóñez, Carlos Alzate, Johan A. K. Suykens, Germán Castellanos-Domínguez:
Optimal Data Projection for Kernel Spectral Clustering. ESANN 2014 - 2013
- [c13]Rocco Langone
Kernel spectral clustering for predicting maintenance of industrial machines. CIDM 2013: 39-45 - [c12]Carlos Alzate, Mathieu Sinn:
Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters. ICDM 2013: 943-948 - 2012
- [j5]Carlos Alzate, Johan A. K. Suykens
Hierarchical kernel spectral clustering. Neural Networks 35: 21-30 (2012) - [c11]Carlos Alzate, Johan A. K. Suykens
A semi-supervised formulation to binary kernel spectral clustering. IJCNN 2012: 1-8 - [c10]Rocco Langone
Kernel spectral clustering for community detection in complex networks. IJCNN 2012: 1-8 - 2011
- [j4]Carlos Alzate, Johan A. K. Suykens
Sparse kernel spectral clustering models for large-scale data analysis. Neurocomputing 74(9): 1382-1390 (2011) - [c9]Siamak Mehrkanoon, Li Jiang, Carlos Alzate, Johan A. K. Suykens:
Symbolic computing of LS-SVM based models. ESANN 2011 - [c8]Rocco Langone
Modularity-based model selection for kernel spectral clustering. IJCNN 2011: 1849-1856 - [c7]Carlos Alzate, Johan A. K. Suykens
Out-of-sample eigenvectors in kernel spectral clustering. IJCNN 2011: 2349-2356 - 2010
- [j3]Carlos Alzate, Johan A. K. Suykens
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA. IEEE Trans. Pattern Anal. Mach. Intell. 32(2): 335-347 (2010) - [c6]Carlos Alzate, Johan A. K. Suykens:
Highly sparse kernel spectral clustering with predictive out-of-sample extensions. ESANN 2010
2000 – 2009
- 2009
- [c5]Carlos Alzate, Marcelo Espinoza, Bart De Moor, Johan A. K. Suykens
Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering. ICANN (2) 2009: 315-324 - [c4]Carlos Alzate, Johan A. K. Suykens
A regularized formulation for spectral clustering with pairwise constraints. IJCNN 2009: 141-148 - 2008
- [j2]Carlos Alzate, Johan A. K. Suykens
A regularized kernel CCA contrast function for ICA. Neural Networks 21(2-3): 170-181 (2008) - [j1]Carlos Alzate, Johan A. K. Suykens
Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function. IEEE Trans. Neural Networks 19(9): 1583-1598 (2008) - [c3]Carlos Alzate, Johan A. K. Suykens
Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition. IJCNN 2008: 3556-3563 - 2007
- [c2]Carlos Alzate, Johan A. K. Suykens
ICA through an LS-SVM based Kernel CCA Measure for Independence. IJCNN 2007: 2920-2925 - 2006
- [c1]Carlos Alzate, Johan A. K. Suykens:
A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods. IJCNN 2006: 138-144
Coauthor Index
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