Alberto Suárez

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 22

Top Topics

Gaussian Process

Linear Regression Models

Feature Selection

Top Venues

Int. J. Mach. Learn. Cybern.

Publications

Carlos Ramos-Carreño, José Luis Torrecilla, Miguel Carbajo-Berrocal, Pablo Marcos, Alberto Suárez
Package for Functional Data Analysis. J. Stat. Softw. 109 (2) (2024)
David del Val, José R. Berrendero, Alberto Suárez
Relation between PLS and OLS regression in terms of the eigenvalue distribution of the regressor covariance matrix. CoRR (2023)
Carlos Ramos-Carreño, José Luis Torrecilla, Yujian Hong, Alberto Suárez
scikit-fda: Computational Tools for Machine Learning with Functional Data. ICTAI (2022)
David Nevado, Gonzalo Martínez-Muñoz, Alberto Suárez
SVM Ensembles on a Budget. ICANN (4) (2022)
Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
Building heterogeneous ensembles by pooling homogeneous ensembles. Int. J. Mach. Learn. Cybern. 13 (2) (2022)
Carlos Ramos-Carreño, José Luis Torrecilla, Alberto Suárez
Classification of Functional Data: A Comparative Study. ICMLA (2022)
Carlos Ramos-Carreño, José Luis Torrecilla, Miguel Carbajo-Berrocal, Pablo Marcos, Alberto Suárez
scikit-fda: A Python Package for Functional Data Analysis. CoRR (2022)
Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
Correction to: Building heterogeneous ensembles by pooling homogeneous ensembles. Int. J. Mach. Learn. Cybern. 13 (2) (2022)
Bahram Jafrasteh, Alberto Suárez
Objective functions from Bayesian optimization to locate additional drillholes. Comput. Geosci. 147 (2021)
José L. Torrecilla, Carlos Ramos-Carreño, Manuel Sánchez-Montañés, Alberto Suárez
Optimal classification of Gaussian processes in homo- and heteroscedastic settings. Stat. Comput. 30 (4) (2020)
José L. Torrecilla, Alberto Suárez
Feature selection in functional data classification with recursive maxima hunting. CoRR (2018)
Adrián Muñoz, Alberto Suárez
Directional Data Analysis for Shape Classification. ICANN (1) (2018)
Javier Cela, Alberto Suárez
Energy-Based Clustering for Pruning Heterogeneous Ensembles. ICANN (1) (2018)
Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
A two-stage ensemble method for the detection of class-label noise. Neurocomputing 275 (2018)
Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
Pooling homogeneous ensembles to build heterogeneous ensembles. CoRR (2018)
Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
Vote-boosting ensembles. Pattern Recognit. 83 (2018)
Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
Randomization vs Optimization in SVM Ensembles. ICANN (2) (2018)
Pedro Antonio Gutiérrez, María Pérez-Ortiz, Alberto Suárez
Class Switching Ensembles for Ordinal Regression. IWANN (1) (2017)
José L. Torrecilla, Alberto Suárez
Feature selection in functional data classification with recursive maxima hunting. NIPS (2016)
Víctor Soto, Alberto Suárez, Gonzalo Martínez-Muñoz
An urn model for majority voting in classification ensembles. NIPS (2016)
Daniel Hernández-Lobato, Pablo Morales-Mombiela, David Lopez-Paz, Alberto Suárez
Non-linear Causal Inference using Gaussianity Measures. J. Mach. Learn. Res. 17 (2016)
Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
Vote-boosting ensembles. CoRR (2016)
Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
Small margin ensembles can be robust to class-label noise. Neurocomputing 160 (2015)
Rubén Ruiz-Torrubiano, Alberto Suárez
A memetic algorithm for cardinality-constrained portfolio optimization with transaction costs. Appl. Soft Comput. 36 (2015)
José Miguel Hernández-Lobato, Daniel Hernández-Lobato, Alberto Suárez
Expectation propagation in linear regression models with spike-and-slab priors. Mach. Learn. 99 (3) (2015)
Lorenzo Hernández, Jorge Tejero, Alberto Suárez, Santiago Carrillo-Menéndez
Percentiles of sums of heavy-tailed random variables: beyond the single-loss approximation. Stat. Comput. 24 (3) (2014)
Víctor Soto, Sergio García-Moratilla, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez
A Double Pruning Scheme for Boosting Ensembles. IEEE Trans. Cybern. 44 (12) (2014)
Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
Improving the Robustness of Bagging with Reduced Sampling Size. ESANN (2014)
Alejandro Llorente, Alberto Suárez
Critical sample size for the Lp-norm estimator in linear regression models. WSC (2013)
Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
How large should ensembles of classifiers be? Pattern Recognit. 46 (5) (2013)
Pablo Morales-Mombiela, Daniel Hernández-Lobato, Alberto Suárez
Statistical Tests for the Detection of the Arrow of Time in Vector Autoregressive Models. IJCAI (2013)
Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
On the Independence of the Individual Predictions in Parallel Randomized Ensembles. ESANN (2012)
Santiago Carrillo-Menéndez, Alberto Suárez
Robust quantification of the exposure to operational risk: Bringing economic sense to economic capital. Comput. Oper. Res. 39 (4) (2012)
José Miguel Hernández-Lobato, Pablo Morales-Mombiela, Alberto Suárez
Gaussianity Measures for Detecting the Direction of Causal Time Series. IJCAI (2011)
Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
Inference on the prediction of ensembles of infinite size. Pattern Recognit. 44 (7) (2011)
Rubén Ruiz-Torrubiano, Alberto Suárez
The TransRAR crossover operator for genetic algorithms with set encoding. GECCO (2011)
Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
Empirical analysis and evaluation of approximate techniques for pruning regression bagging ensembles. Neurocomputing 74 (12-13) (2011)
José Miguel Hernández-Lobato, Daniel Hernández-Lobato, Alberto Suárez
Network-based sparse Bayesian classification. Pattern Recognit. 44 (4) (2011)
José Miguel Hernández-Lobato, Alberto Suárez
Semiparametric bivariate Archimedean copulas. Comput. Stat. Data Anal. 55 (6) (2011)
Rubén Ruiz-Torrubiano, Alberto Suárez
Hybrid Approaches and Dimensionality Reduction for Portfolio Selection with Cardinality Constraints. IEEE Comput. Intell. Mag. 5 (2) (2010)
Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Alberto Suárez
Expectation Propagation for microarray data classification. Pattern Recognit. Lett. 31 (12) (2010)
Víctor Soto, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez
A Double Pruning Algorithm for Classification Ensembles. MCS (2010)
Gonzalo Martínez-Muñoz, Alberto Suárez
Out-of-bag estimation of the optimal sample size in bagging. Pattern Recognit. 43 (1) (2010)
Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez
An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation. IEEE Trans. Pattern Anal. Mach. Intell. 31 (2) (2009)
Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez
Statistical Instance-Based Ensemble Pruning for Multi-class Problems. ICANN (1) (2009)
Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
Statistical Instance-Based Pruning in Ensembles of Independent Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 31 (2) (2009)
Rubén Ruiz-Torrubiano, Alberto Suárez
A hybrid optimization approach to index tracking. Ann. Oper. Res. 166 (1) (2009)
Gonzalo Martínez-Muñoz, Aitor Sánchez-Martínez, Daniel Hernández-Lobato, Alberto Suárez
Class-switching neural network ensembles. Neurocomputing 71 (13-15) (2008)
Gonzalo Martínez-Muñoz, Alberto Suárez
Using boosting to prune bagging ensembles. Pattern Recognit. Lett. 28 (1) (2007)
Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez
Selection of Decision Stumps in Bagging Ensembles. ICANN (1) (2007)
Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles. IDEAL (2007)
José Miguel Hernández-Lobato, Daniel Hernández-Lobato, Alberto Suárez
GARCH Processes with Non-parametric Innovations for Market Risk Estimation. ICANN (2) (2007)
Rubén Ruiz-Torrubiano, Alberto Suárez
Use of heuristic rules in evolutionary methods for the selection of optimal investment portfolios. IEEE Congress on Evolutionary Computation (2007)
Gonzalo Martínez-Muñoz, Aitor Sánchez-Martínez, Daniel Hernández-Lobato, Alberto Suárez
Building Ensembles of Neural Networks with Class-Switching. ICANN (1) (2006)
Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
Pruning in Ordered Regression Bagging Ensembles. IJCNN (2006)
Sergio García-Moratilla, Gonzalo Martínez-Muñoz, Alberto Suárez
Evaluation of Decision Tree Pruning with Subadditive Penalties. IDEAL (2006)
Gonzalo Martínez-Muñoz, Alberto Suárez
Pruning in ordered bagging ensembles. ICML (2006)
José Miguel Hernández-Lobato, Alberto Suárez
Competitive and Collaborative Mixtures of Experts for Financial Risk Analysis. ICANN (2) (2006)
Rafael Moral-Escudero, Rubén Ruiz-Torrubiano, Alberto Suárez
Selection of Optimal Investment Portfolios with Cardinality Constraints. IEEE Congress on Evolutionary Computation (2006)
Gonzalo Martínez-Muñoz, Alberto Suárez
Switching class labels to generate classification ensembles. Pattern Recognit. 38 (10) (2005)
Gonzalo Martínez-Muñoz, Alberto Suárez
Using all data to generate decision tree ensembles. IEEE Trans. Syst. Man Cybern. Part C 34 (4) (2004)
Manuel Alfonseca, Alfonso Ortega, Alberto Suárez
Cellular Automata and Probabilistic L Systems: An Example in Ecology. Grammars and Automata for String Processing (2003)
Carmen Vidal, Alberto Suárez
Hierarchical Mixtures of Autoregressive Models for Time-Series Modeling. ICANN (2003)
Alberto Suárez
Mixtures of Autoregressive Models for Financial Risk Analysis. ICANN (2002)
Victor Medina-Chico, Alberto Suárez, James F. Lutsko
Backpropagation in Decision Trees for Regression. ECML (2001)
Alberto Suárez, Pablo Castells
e-Portfolio: Java Technology for Financial Applications on the Internet. WebNet (2001)
Francisco de Borja Rodríguez Ortiz, Alberto Suárez, Vicente López
Period Focusing Induced by Network Feedback in Populations of Noisy Integrate-and-Fire Neurons. Neural Comput. 13 (11) (2001)
Alberto Suárez, James F. Lutsko
Globally Optimal Fuzzy Decision Trees for Classification and Regression. IEEE Trans. Pattern Anal. Mach. Intell. 21 (12) (1999)