Alberto Suárez

Universidad Autónoma de Madrid — Spain

Computer Science · Physical Sciences

25h-index2.8kcitations114works12.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Neural Networks and Applications(22), Machine Learning and Data Classification(22), Face and Expression Recognition(16), Advanced Statistical Methods and Models(9), Financial Risk and Volatility Modeling(8)

Publications114 total

Relation between PLS and OLS regression in terms of the eigenvalue distribution of the regressor covariance matrix
Journal of Multivariate Analysis·2026
<b>scikit-fda</b>: A <i>Python</i> Package for Functional Data Analysis
Journal of Statistical Software·2024· 24 citedOpen Access
Relation between PLS and OLS regression in terms of the eigenvalue distribution of the regressor covariance matrix
arXiv (Cornell University)·2023Open Access
Classification of Functional Data: A Comparative Study
2022· 2 citedOpen Access
scikit-fda: A Python Package for Functional Data Analysis
arXiv (Cornell University)·2022· 13 citedOpen Access
scikit-fda: Computational Tools for Machine Learning with Functional Data
2022· 5 citedOpen Access
SVM Ensembles on a Budget
Lecture notes in computer science·2022Open Access
Correction to: Building heterogeneous ensembles by pooling homogeneous ensembles
International Journal of Machine Learning and Cybernetics·2021· 1 citedOpen Access
Building heterogeneous ensembles by pooling homogeneous ensembles
International Journal of Machine Learning and Cybernetics·2021· 36 citedOpen Access
Objective functions from Bayesian optimization to locate additional drillholes
Computers & Geosciences·2020· 7 cited
Data-driven Democracy? Automated Decision-making, Difference and Preferences
2020· 2 cited
Optimal classification of Gaussian processes in homo- and heteroscedastic settings
Statistics and Computing·2020· 8 citedOpen Access
Non-linear Causal Inference Using Gaussianity Measures
˜The œSpringer series on challenges in machine learning·2019· 15 cited
Comparison of machine learning methods for copper ore grade estimation
Computational Geosciences·2018· 59 cited
Feature selection in functional data classification with recursive maxima hunting
arXiv (Cornell University)·2018· 1 citedOpen Access
Feature selection in functional data classification with recursive\n maxima hunting
arXiv (Cornell University)·2018Open Access
Vote-boosting ensembles
Pattern Recognition·2018· 50 citedOpen Access
Pooling homogeneous ensembles to build heterogeneous ensembles.
arXiv (Cornell University)·2018· 2 citedOpen Access
Pooling homogeneous ensembles to build heterogeneous ones
arXiv (Cornell University)·2018· 4 citedOpen Access
Energy-Based Clustering for Pruning Heterogeneous Ensembles
Lecture notes in computer science·2018· 2 cited
page 1 of 6Next →

Frequent Co-authors

Gonzalo Martínez-Muñoz(21), Daniel Hernández-Lobato(15), R. Silbey(6), Rubén Ruiz-Torrubiano(6), José Miguel Hernández-Lobato(5), Maryam Sabzevari(5), Carlos Ramos-Carreño(3), José L. Torrecilla(3), Irwin Oppenheim(2), Bo Peng(2), Katharine L. C. Hunt(2), Paul M. Hunt(2), John Ross(2), Víctor Soto(2), Sergio García-Moratilla(2), Miguel Carbajo-Berrocal(2), Pablo Marcos(2), Pablo Morales-Mombiela(2), James F. Lutsko(1), R. Moral-Escudero(1)