Globally Optimal Fuzzy Decision Trees for Classification and Regression. - Alberto Suárez 001; James F. Lutsko (IEEE Trans. Pattern Anal. Mach. Intell., 1999)

Backpropagation in Decision Trees for Regression. - Victor Medina-Chico; Alberto Suárez 001; James F. Lutsko (ECML, 2001)

e-Portfolio: Java Technology for Financial Applications on the Internet. - Alberto Suárez 001; Pablo Castells (WebNet, 2001)

Period Focusing Induced by Network Feedback in Populations of Noisy Integrate-and-Fire Neurons. - Francisco de Borja Rodríguez Ortiz; Alberto Suárez 001; Vicente López 002 (Neural Comput., 2001)

Mixtures of Autoregressive Models for Financial Risk Analysis. - Alberto Suárez 001 (ICANN, 2002)

Cellular Automata and Probabilistic L Systems: An Example in Ecology. - Manuel Alfonseca 001; Alfonso Ortega 002; Alberto Suárez 001 (Grammars and Automata for String Processing, 2003)

Hierarchical Mixtures of Autoregressive Models for Time-Series Modeling. - Carmen Vidal; Alberto Suárez 001 (ICANN, 2003)

Using all data to generate decision tree ensembles. - Gonzalo Martínez-Muñoz; Alberto Suárez 001 (IEEE Trans. Syst. Man Cybern. Part C, 2004)

Switching class labels to generate classification ensembles. - Gonzalo Martínez-Muñoz; Alberto Suárez 001 (Pattern Recognit., 2005)

Selection of Optimal Investment Portfolios with Cardinality Constraints. - Rafael Moral-Escudero; Rubén Ruiz-Torrubiano; Alberto Suárez 001 (IEEE Congress on Evolutionary Computation, 2006)

Competitive and Collaborative Mixtures of Experts for Financial Risk Analysis. - José Miguel Hernández-Lobato; Alberto Suárez 001 (ICANN (2), 2006)

Building Ensembles of Neural Networks with Class-Switching. - Gonzalo Martínez-Muñoz; Aitor Sánchez-Martínez; Daniel Hernández-Lobato; Alberto Suárez 001 (ICANN (1), 2006)

Pruning in ordered bagging ensembles. - Gonzalo Martínez-Muñoz; Alberto Suárez 001 (ICML, 2006)

Evaluation of Decision Tree Pruning with Subadditive Penalties. - Sergio García-Moratilla; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (IDEAL, 2006)

Pruning in Ordered Regression Bagging Ensembles. - Daniel Hernández-Lobato; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (IJCNN, 2006)

Use of heuristic rules in evolutionary methods for the selection of optimal investment portfolios. - Rubén Ruiz-Torrubiano; Alberto Suárez 001 (IEEE Congress on Evolutionary Computation, 2007)

GARCH Processes with Non-parametric Innovations for Market Risk Estimation. - José Miguel Hernández-Lobato; Daniel Hernández-Lobato; Alberto Suárez 001 (ICANN (2), 2007)

Selection of Decision Stumps in Bagging Ensembles. - Gonzalo Martínez-Muñoz; Daniel Hernández-Lobato; Alberto Suárez 001 (ICANN (1), 2007)

Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles. - Daniel Hernández-Lobato; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (IDEAL, 2007)

Using boosting to prune bagging ensembles. - Gonzalo Martínez-Muñoz; Alberto Suárez 001 (Pattern Recognit. Lett., 2007)

Class-switching neural network ensembles. - Gonzalo Martínez-Muñoz; Aitor Sánchez-Martínez; Daniel Hernández-Lobato; Alberto Suárez 001 (Neurocomputing, 2008)

Statistical Instance-Based Ensemble Pruning for Multi-class Problems. - Gonzalo Martínez-Muñoz; Daniel Hernández-Lobato; Alberto Suárez 001 (ICANN (1), 2009)

A hybrid optimization approach to index tracking. - Rubén Ruiz-Torrubiano; Alberto Suárez 001 (Ann. Oper. Res., 2009)

Statistical Instance-Based Pruning in Ensembles of Independent Classifiers. - Daniel Hernández-Lobato; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation. - Gonzalo Martínez-Muñoz; Daniel Hernández-Lobato; Alberto Suárez 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

A Double Pruning Algorithm for Classification Ensembles. - Víctor Soto; Gonzalo Martínez-Muñoz; Daniel Hernández-Lobato; Alberto Suárez 001 (MCS, 2010)

Hybrid Approaches and Dimensionality Reduction for Portfolio Selection with Cardinality Constraints. - Rubén Ruiz-Torrubiano; Alberto Suárez 001 (IEEE Comput. Intell. Mag., 2010)

Out-of-bag estimation of the optimal sample size in bagging. - Gonzalo Martínez-Muñoz; Alberto Suárez 001 (Pattern Recognit., 2010)

Expectation Propagation for microarray data classification. - Daniel Hernández-Lobato; José Miguel Hernández-Lobato; Alberto Suárez 001 (Pattern Recognit. Lett., 2010)

The TransRAR crossover operator for genetic algorithms with set encoding. - Rubén Ruiz-Torrubiano; Alberto Suárez 001 (GECCO, 2011)

Gaussianity Measures for Detecting the Direction of Causal Time Series. - José Miguel Hernández-Lobato; Pablo Morales-Mombiela; Alberto Suárez 001 (IJCAI, 2011)

Semiparametric bivariate Archimedean copulas. - José Miguel Hernández-Lobato; Alberto Suárez 001 (Comput. Stat. Data Anal., 2011)

Empirical analysis and evaluation of approximate techniques for pruning regression bagging ensembles. - Daniel Hernández-Lobato; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (Neurocomputing, 2011)

Network-based sparse Bayesian classification. - José Miguel Hernández-Lobato; Daniel Hernández-Lobato; Alberto Suárez 001 (Pattern Recognit., 2011)

Inference on the prediction of ensembles of infinite size. - Daniel Hernández-Lobato; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (Pattern Recognit., 2011)

On the Independence of the Individual Predictions in Parallel Randomized Ensembles. - Daniel Hernández-Lobato; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (ESANN, 2012)

Robust quantification of the exposure to operational risk: Bringing economic sense to economic capital. - Santiago Carrillo-Menéndez; Alberto Suárez 001 (Comput. Oper. Res., 2012)

Statistical Tests for the Detection of the Arrow of Time in Vector Autoregressive Models. - Pablo Morales-Mombiela; Daniel Hernández-Lobato; Alberto Suárez 001 (IJCAI, 2013)

Critical sample size for the Lp-norm estimator in linear regression models. - Alejandro Llorente; Alberto Suárez 001 (WSC, 2013)

How large should ensembles of classifiers be? - Daniel Hernández-Lobato; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (Pattern Recognit., 2013)

Improving the Robustness of Bagging with Reduced Sampling Size. - Maryam Sabzevari; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (ESANN, 2014)

Percentiles of sums of heavy-tailed random variables: beyond the single-loss approximation. - Lorenzo Hernández; Jorge Tejero; Alberto Suárez 001; Santiago Carrillo-Menéndez (Stat. Comput., 2014)

A Double Pruning Scheme for Boosting Ensembles. - Víctor Soto; Sergio García-Moratilla; Gonzalo Martínez-Muñoz; Daniel Hernández-Lobato; Alberto Suárez 001 (IEEE Trans. Cybern., 2014)

A memetic algorithm for cardinality-constrained portfolio optimization with transaction costs. - Rubén Ruiz-Torrubiano; Alberto Suárez 001 (Appl. Soft Comput., 2015)

Small margin ensembles can be robust to class-label noise. - Maryam Sabzevari; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (Neurocomputing, 2015)

Expectation propagation in linear regression models with spike-and-slab priors. - José Miguel Hernández-Lobato; Daniel Hernández-Lobato; Alberto Suárez 001 (Mach. Learn., 2015)

An urn model for majority voting in classification ensembles. - Víctor Soto; Alberto Suárez 001; Gonzalo Martínez-Muñoz (NIPS, 2016)

Feature selection in functional data classification with recursive maxima hunting. - José L. Torrecilla; Alberto Suárez 001 (NIPS, 2016)

Non-linear Causal Inference using Gaussianity Measures. - Daniel Hernández-Lobato; Pablo Morales-Mombiela; David Lopez-Paz; Alberto Suárez 001 (J. Mach. Learn. Res., 2016)

Class Switching Ensembles for Ordinal Regression. - Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; Alberto Suárez 001 (IWANN (1), 2017)

Energy-Based Clustering for Pruning Heterogeneous Ensembles. - Javier Cela; Alberto Suárez 001 (ICANN (1), 2018)

Directional Data Analysis for Shape Classification. - Adrián Muñoz; Alberto Suárez 001 (ICANN (1), 2018)

Randomization vs Optimization in SVM Ensembles. - Maryam Sabzevari; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (ICANN (2), 2018)

Pooling homogeneous ensembles to build heterogeneous ensembles. - Maryam Sabzevari; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (CoRR, 2018)

A two-stage ensemble method for the detection of class-label noise. - Maryam Sabzevari; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (Neurocomputing, 2018)

Vote-boosting ensembles. - Maryam Sabzevari; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (Pattern Recognit., 2018)

Non-linear Causal Inference Using Gaussianity Measures. - Daniel Hernández-Lobato; Pablo Morales-Mombiela; David Lopez-Paz; Alberto Suárez 001 (Cause Effect Pairs in Machine Learning, 2019)

Optimal classification of Gaussian processes in homo- and heteroscedastic settings. - José L. Torrecilla; Carlos Ramos-Carreño; Manuel A. Sánchez-Montañés; Alberto Suárez 001 (Stat. Comput., 2020)

Objective functions from Bayesian optimization to locate additional drillholes. - Bahram Jafrasteh; Alberto Suárez 001 (Comput. Geosci., 2021)

SVM Ensembles on a Budget. - David Nevado; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (ICANN (4), 2022)

Classification of Functional Data: A Comparative Study. - Carlos Ramos-Carreño; José Luis Torrecilla; Alberto Suárez 001 (ICMLA, 2022)

scikit-fda: Computational Tools for Machine Learning with Functional Data. - Carlos Ramos-Carreño; José Luis Torrecilla; Yujian Hong; Alberto Suárez 001 (ICTAI, 2022)

scikit-fda: A Python Package for Functional Data Analysis. - Carlos Ramos-Carreño; José Luis Torrecilla; Miguel Carbajo-Berrocal; Pablo Marcos; Alberto Suárez 001 (CoRR, 2022)

Building heterogeneous ensembles by pooling homogeneous ensembles. - Maryam Sabzevari; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (Int. J. Mach. Learn. Cybern., 2022)

Correction to: Building heterogeneous ensembles by pooling homogeneous ensembles. - Maryam Sabzevari; Gonzalo Martínez-Muñoz; Alberto Suárez 001 (Int. J. Mach. Learn. Cybern., 2022)

Relation between PLS and OLS regression in terms of the eigenvalue distribution of the regressor covariance matrix. - David del Val; José R. Berrendero; Alberto Suárez 001 (CoRR, 2023)

scikit-fda: A Python Package for Functional Data Analysis. - Carlos Ramos-Carreño; José Luis Torrecilla; Miguel Carbajo-Berrocal; Pablo Marcos; Alberto Suárez 001 (J. Stat. Softw., 2024)