Ricardo Ñanculef

	2012
19		Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga: Training regression ensembles by sequential target correction and resampling. Inf. Sci. 195: 154-174 (2012)
	2011
18		Ricardo Ñanculef, Erick López, Héctor Allende, Héctor Allende-Cid: An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments. CIARP 2011: 541-548
17		Ricardo Ñanculef, Héctor Allende, Stefano Lodi, Claudio Sartori: Two One-Pass Algorithms for Data Stream Classification Using Approximate MEBs. ICANNGA (2) 2011: 363-372
	2010
16		Diego Candel, Ricardo Ñanculef, Carlos Concha, Héctor Allende: A Sequential Minimal Optimization Algorithm for the All-Distances Support Vector Machine. CIARP 2010: 484-491
15		Emanuele Frandi, Maria Grazia Gasparo, Stefano Lodi, Ricardo Ñanculef, Claudio Sartori: A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls. CIARP 2010: 87-95
14		Stefano Lodi, Ricardo Ñanculef, Claudio Sartori: Single-Pass Distributed Learning of Multi-class SVMs Using Core-Sets. SDM 2010: 257-268
13		Stefano Lodi, Ricardo Ñanculef, Claudio Sartori: Learning Multi-Class Support Vector Models from Distributed Data using Core-Sets (Extended Abstract). SEBD 2010: 150-157
	2009
12		Stefano Lodi, Ricardo Ñanculef, Claudio Sartori: L2-SVM Training with Distributed Data. MATES 2009: 208-213
11		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. 6(2): 69-79 (2009)
	2007
10		Héctor Allende-Cid, Rodrigo Salas, Héctor Allende, Ricardo Ñanculef: Robust Alternating AdaBoost. CIARP 2007: 427-436
9		Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga: Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples. CIARP 2007: 694-703
8		Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga: Two Bagging Algorithms with Coupled Learners to Encourage Diversity. IDA 2007: 130-139
7		Patricia Trejo, Ricardo Ñanculef, Héctor Allende, Claudio Moraga: Probabilistic Aggregation of Classifiers for Incremental Learning. IWANN 2007: 135-143
	2006
6		Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga: Ensemble Learning with Local Diversity. ICANN (1) 2006: 264-273
5		Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga: Local Negative Correlation with Resampling. IDEAL 2006: 570-577
	2005
4		Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga: Moderated Innovations in Self-poised Ensemble Learning. CIS (1) 2005: 49-56
3		Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga: Self-poised Ensemble Learning. IDA 2005: 272-282
	2004
2		Ricardo Ñanculef, Carlos Concha, Claudio Moraga, Héctor Allende: Multiresolution Fuzzy Rule Systems. Fuzzy Days 2004: 65-79
1		Héctor Allende, Ricardo Ñanculef, Rodrigo Salas: Robust Bootstrapping Neural Networks. MICAI 2004: 813-822

Coauthor Index

1	Héctor Allende	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [16] [17] [18] [19]
2	Héctor Allende-Cid	[10] [18]
3	Diego Candel	[11] [16]
4	Carlos Concha	[2] [11] [16]
5	Emanuele Frandi	[15]
6	Maria Grazia Gasparo	[15]
7	Stefano Lodi	[12] [13] [14] [15] [17]
8	Erick López	[18]
9	Claudio Moraga	[2] [3] [4] [5] [6] [7] [8] [9] [11] [19]
10	Rodrigo Salas	[1] [10]
11	Claudio Sartori	[12] [13] [14] [15] [17]
12	Patricia Trejo	[7]
13	Carlos Valle	[3] [4] [5] [6] [8] [9] [19]

Last update Fri May 25 03:49:23 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page