M. Paz Sesmero Lorente

José María Monterrubio

María Paz Sesmero

Edwar Javier Giron Buitron

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023

Towards a Robust Traffic Scene Representation in Cooperative Connected Automated Mobility.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023

2022

Synthetic samples generator (SYSGEN), an approach to increase the size of incidence samples in coffee leaf rust modelling.

[BibT_eX]

[DOI]

David Camilo Corrales

María Paz Sesmero

Juan Carlos Corrales

Evol. Syst., 2022

Evolving Gaussian on-line clustering in social network analysis.

[BibT_eX]

[DOI]

Igor Skrjanc

Goran Andonovski

María Paz Sesmero

Expert Syst. Appl., 2022

2021

Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles.

[BibT_eX]

[DOI]

Elena Magán

María Paz Sesmero Lorente

Appl. Soft Comput., 2021

2020

CCE: An ensemble architecture based on coupled ANN for solving multiclass problems.

[BibT_eX]

[DOI]

Inf. Fusion, 2020

Fuzzy Alarm System based on Human-centered Approach.

[BibT_eX]

[DOI]

Elena Magán

José Antonio Iglesias Martinez

Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners.

[BibT_eX]

[DOI]

María Paz Sesmero Lorente

Elena Magán López

Agapito Ledezma Espino

Araceli Sanchis de Miguel

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019

Mining Disease Courses across Organizations: A Methodology Based on Process Mining of Diagnosis Events Datasets.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Measuring Diversity and Accuracy in ANN Ensembles.

[BibT_eX]

[DOI]

Alessandro Giuliani

Giuliano Armano

Proceedings of the Advances in Artificial Intelligence, 2018

2017

Forecasting Univariate Time Series by Input Transformation and Selection of the Suitable Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2017

2016

Forecasting time series by an ensemble of Artificial Neural Networks based on transforming the time series.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015

Generating ensembles of heterogeneous classifiers using Stacked Generalization.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2015

An ensemble approach of dual base learners for multi-class classification problems.

[BibT_eX]

[DOI]

Inf. Fusion, 2015

2014

Combining additive input noise annealing and pattern transformations for improved handwritten character recognition.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

CCE: An Approach to Improve the Accuracy in Ensembles by Using Diverse Base Learners.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

2013

Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

A new artificial neural network ensemble based on feature selection and class recoding.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2012

2009

Ensemble of ANN for Traffic Sign Recognition.

[BibT_eX]

[DOI]

Araceli Sanchis de Miguel

Germán Gutiérrez Sánchez

Agapito Ledezma Espino

Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

2007

Specialized Ensemble of Classifiers for Traffic Sign Recognition.

[BibT_eX]

[DOI]