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First name:	Ricardo
Last name:	Ñanculef
DBLP:	18/455
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	Journal article Héctor Allende, Emanuele Frandi, Ricardo Ñanculef, Claudio Sartori. Novel Frank-Wolfe Methods for SVM Learning	CoRR 2013, Volume 0	(0)	2013
	Journal article Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga. Training regression ensembles by sequential target correction and resampling.	Inf. Sci. 2012, Volume 195	(0)	2012
	Journal article Emanuele Frandi, Ricardo Ñanculef, Maria Grazia Gasparo, Stefano Lodi, Claudio Sartori. Training Support Vector Machines Using Frank-Wolfe Optimization Methods	CoRR 2012, Volume 0	(0)	2012
	Conference paper Ricardo Ñanculef, Héctor Allende, Stefano Lodi, Claudio Sartori. Two One-Pass Algorithms for Data Stream Classification Using Approximate MEBs.	Adaptive and Natural Computing Algorithms - 10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part II 2011	(0)	2011
	Conference paper Ricardo Ñanculef, Erick López, Héctor Allende, Héctor Allende-Cid. An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments.	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 16th Iberoamerican Congress, CIARP 2011, Pucón, Chile, November 15-18, 2011. Proceedings 2011	(0)	2011
	Conference paper Stefano Lodi, Ricardo Ñanculef, Claudio Sartori. Single-Pass Distributed Learning of Multi-class SVMs Using Core-Sets.	Proceedings of the SIAM International Conference on Data Mining, SDM 2010, April 29 - May 1, 2010, Columbus, Ohio, USA 2010	(0)	2010
	Conference paper Emanuele Frandi, Maria Grazia Gasparo, Stefano Lodi, Ricardo Ñanculef, Claudio Sartori. A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls.	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010, Sao Paulo, Brazil, November 8-11, 2010. Proceedings 2010	(0)	2010
	Conference paper Diego Candel, Ricardo Ñanculef, Carlos Concha, Héctor Allende. A Sequential Minimal Optimization Algorithm for the All-Distances Support Vector Machine.	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010, Sao Paulo, Brazil, November 8-11, 2010. Proceedings 2010	(0)	2010
	Conference paper Stefano Lodi, Ricardo Ñanculef, Claudio Sartori. Learning Multi-Class Support Vector Models from Distributed Data using Core-Sets (Extended Abstract).	Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, SEBD 2010, Rimini, Italy, June 20-23, 2010 2010	(0)	2010
	Conference paper Ricardo Ñanculef, Carlos Concha, Héctor Allende, Diego Candel, Claudio Moraga. AD-SVMs: A light extension of SVMs for multicategory classification.	Int. J. Hybrid Intell. Syst. 2009, Volume 6	(0)	2009
	Conference paper Héctor Allende-Cid, Rodrigo Salas, Héctor Allende, Ricardo Ñanculef. Robust Alternating AdaBoost.	Progress in Pattern Recognition, Image Analysis and Applications, 12th Iberoamericann Congress on Pattern Recognition, CIARP 2007, Valparaiso, Chile, November 13-16, 2007, Proceedings 2008	(0)	2007
	Conference paper Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga. Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples.	Progress in Pattern Recognition, Image Analysis and Applications, 12th Iberoamericann Congress on Pattern Recognition, CIARP 2007, Valparaiso, Chile, November 13-16, 2007, Proceedings 2008	(0)	2007
	Conference paper Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga. Two Bagging Algorithms with Coupled Learners to Encourage Diversity.	Advances in Intelligent Data Analysis VII, 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings 2007	(0)	2007
	Conference paper Patricia Trejo, Ricardo Ñanculef, Héctor Allende, Claudio Moraga. Probabilistic Aggregation of Classifiers for Incremental Learning.	Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings 2007	(0)	2007
	Conference paper Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga. Ensemble Learning with Local Diversity.	Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I 2006	(0)	2006
	Conference paper Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga. Local Negative Correlation with Resampling.	Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings 2006	(0)	2006
	Conference paper Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga. Moderated Innovations in Self-poised Ensemble Learning.	Computational Intelligence and Security, International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part I 2005	(0)	2005
	Conference paper Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga. Self-poised Ensemble Learning.	Advances in Intelligent Data Analysis VI, 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings 2005	(0)	2005
	Conference paper Ricardo Ñanculef, Carlos Concha, Claudio Moraga, Héctor Allende. Multiresolution Fuzzy Rule Systems.	Computational Intelligence, Theory and Applications, International Conference 8th Fuzzy Days, Dortmund, Germany, Sept. 29 - Oct. 01, 2004 2005	(0)	2004
	Conference paper Héctor Allende, Ricardo Ñanculef, Rodrigo Salas. Robust Bootstrapping Neural Networks.	MICAI 2004: Advances in Artificial Intelligence, Third Mexican International Conference on Artificial Intelligence, Mexico City, Mexico, April 26-30, 2004, Proceedings 2004	(0)	2004
	Conference paper Stefano Lodi, Ricardo Ñanculef, Claudio Sartori. L2-SVM Training with Distributed Data.	Multiagent System Technologies, 7th German Conference, MATES 2009, Hamburg, Germany, September 9-11, 2009. Proceedings 2009	(0) 1 comment	2009

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