Specialized Ensemble of Classifiers for Traffic Sign Recognition. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (IWANN, 2007)

Ensemble of ANN for Traffic Sign Recognition. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez Sánchez; Agapito Ledezma Espino; Araceli Sanchis de Miguel (Encyclopedia of Artificial Intelligence, 2009)

A new artificial neural network ensemble based on feature selection and class recoding. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (Neural Comput. Appl., 2012)

Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging. - Juan Manuel Alonso-Weber; M. Paz Sesmero Lorente; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (ICANN, 2013)

CCE: An Approach to Improve the Accuracy in Ensembles by Using Diverse Base Learners. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez; Araceli Sanchis (HAIS, 2014)

Combining additive input noise annealing and pattern transformations for improved handwritten character recognition. - Juan Manuel Alonso-Weber; M. Paz Sesmero Lorente; Araceli Sanchis (Expert Syst. Appl., 2014)

An ensemble approach of dual base learners for multi-class classification problems. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (Inf. Fusion, 2015)

Generating ensembles of heterogeneous classifiers using Stacked Generalization. - M. Paz Sesmero Lorente; Agapito Ledezma; Araceli Sanchis (WIREs Data Mining Knowl. Discov., 2015)

Forecasting time series by an ensemble of Artificial Neural Networks based on transforming the time series. - Germán Gutiérrez; M. Paz Sesmero Lorente; Araceli Sanchis (SMC, 2016)

Forecasting Univariate Time Series by Input Transformation and Selection of the Suitable Model. - Germán Gutiérrez; M. Paz Sesmero Lorente; Araceli Sanchis (IWANN (2), 2017)

Measuring Diversity and Accuracy in ANN Ensembles. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Alessandro Giuliani; Giuliano Armano; Araceli Sanchis (CAEPIA, 2018)

Mining Disease Courses across Organizations: A Methodology Based on Process Mining of Diagnosis Events Datasets. - Paula de Toledo; Carolin Joppien; María Paz Sesmero; Paul Drews (EMBC, 2019)

A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners. - José Antonio Iglesias Martínez; María Paz Sesmero Lorente; Elena Magán López; Agapito Ledezma Espino; Araceli Sanchis de Miguel (EAIS, 2020)

Fuzzy Alarm System based on Human-centered Approach. - Elena Magán; Agapito Ledezma; M. Paz Sesmero Lorente; Araceli Sanchis (VEHITS, 2020)

CCE: An ensemble architecture based on coupled ANN for solving multiclass problems. - María Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Araceli Sanchis (Inf. Fusion, 2020)

Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles. - M. Paz Sesmero Lorente; José Antonio Iglesias 001; Elena Magán; Agapito Ledezma; Araceli Sanchis (Appl. Soft Comput., 2021)

Evolving Gaussian on-line clustering in social network analysis. - Igor Skrjanc; Goran Andonovski; José Antonio Iglesias 001; María Paz Sesmero; Araceli Sanchis (Expert Syst. Appl., 2022)

Synthetic samples generator (SYSGEN), an approach to increase the size of incidence samples in coffee leaf rust modelling. - Edwar Javier Giron Buitron; David Camilo Corrales; María Paz Sesmero; José Antonio Iglesias 001; Juan Carlos Corrales (Evol. Syst., 2022)

Towards a Robust Traffic Scene Representation in Cooperative Connected Automated Mobility. - David Yagüe-Cuevas; Pablo Marín-Plaza; María Paz Sesmero; Araceli Sanchis (VEHITS, 2023)

Generation and Evaluation of Medical Images Based on Diffusion Models. - José Antonio Iglesias 001; José María Monterrubio; María Paz Sesmero; Araceli Sanchis (EAIS, 2024)

Mission based systems for connected automated mobility. - David Yagüe-Cuevas; Pablo Marín-Plaza; María Paz Sesmero; Araceli Sanchis (Robotics Auton. Syst., 2024)

Analyzing Model Behavior for Driver Emotion Recognition and Drowsiness Detection Using Explainable Artificial Intelligence. - Diego Caballero García-Alcaide; María Paz Sesmero; José A. Iglesias 001; Araceli Sanchis (VEHITS, 2025)