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Llus Belanche

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

18

Venues

7

Active years

1999–2025

Best venue rank

A*

Where they publish

Papers

18 indexed papers, newest first.

YearVenueTitleAuthors
2025ESANNA new approach to multilayer SVMs.Llus Belanche
2017ESANNBridging deep and kernel methods.Llus Belanche, Marta R. Costa-juss
2017IWANNForecasting Financial Time Series with Multiple Kernel Learning.Luis Fbregues, Argimiro Arratia, Llus Belanche
2016ICANNStreamLeader: A New Stream Clustering Algorithm not Based in Conventional Clustering.Jaime Andrs-Merino, Llus Belanche
2016ICANNMultivariate Dynamic Kernels for Financial Time Series Forecasting.Mauricio Pea, Argimiro Arratia, Llus Belanche
2013ESANNDevelopments in kernel design.Llus Belanche
2013ESANNHandling missing values in kernel methods with application to microbiology data.Vladimer Kobayashi, Toms Aluja, Llus Belanche
2012ESANNSimilarity networks for heterogeneous data.Llus Belanche, Jernimo Hernndez-Gonzlez
2012ESANNAveraging of kernel functions.Llus Belanche, Alessandra Tosi
2011KESThings to Know about a (dis)similarity Measure.Llus Belanche, Jorge Orozco
2011NCAPredicting Software Anomalies Using Machine Learning Techniques.Javier Alonso, Llus Belanche, Dimiter R. Avresky
2007ICANNSelection of Basis Functions Guided by the L2 Soft Margin.Ignacio Barrio, Enrique Romero, Llus Belanche
2007ICANNExtended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors.Ignacio Barrio, Enrique Romero, Llus Belanche
2007ICANNIncremental and Decremental Learning for Linear Support Vector Machines.Enrique Romero, Ignacio Barrio, Llus Belanche
2007IJCNNSearch Strategies Guided by the Evidence for the Selection of Basis Functions in Regression.Ignacio Barrio, Enrique Romero, Llus Belanche
2002ICDMFeature Selection Algorithms: A Survey and Experimental Evaluation.Luis Carlos Molina, Llus Belanche, ngela Nebot
2001IWANNHeterogeneous Kohonen Networks.Sergio Negri, Llus Belanche
1999IWANNFuzzy Inputs and Missing Data in Similarity-Based Heterogeneous Neural Networks.Llus Belanche, Julio J. Valds