Bagging Classification Models with Reduced Bootstrap. - Rafael Pino-Mejías; María-Dolores Cubiles-de-la-Vega; Manuel López-Coello; Esther-Lydia Silva-Ramírez; María-Dolores Jiménez-Gamero (SSPR/SPR, 2004)

Non-Linear Modelling Time Series from ARIMA Fitting. - Rafael Pino-Mejías; Esther-Lydia Silva-Ramírez; María-Dolores Cubiles-de-la-Vega; Manuel López-Coello (CIMCA/IAWTIC, 2005)

Evaluating the Performance of the Multilayer Perceptron as a Data Editing Tool. - María-Dolores Cubiles-de-la-Vega; Esther-Lydia Silva-Ramírez; Rafael Pino-Mejías; Manuel López-Coello (IWANN (1), 2009)

Missing value imputation on missing completely at random data using multilayer perceptrons. - Esther-Lydia Silva-Ramírez; Rafael Pino-Mejías; Manuel López-Coello; María-Dolores Cubiles-de-la-Vega (Neural Networks, 2011)

Single imputation with multilayer perceptron and multiple imputation combining multilayer perceptron and k-nearest neighbours for monotone patterns. - Esther-Lydia Silva-Ramírez; Rafael Pino-Mejías; Manuel López-Coello (Appl. Soft Comput., 2015)

Vary: An IDE for Designing Algorithms and Measuring Quality. - Tatiana Person; Iván Ruiz-Rube; Nuria Hurtado; Esther-Lydia Silva-Ramírez; José Miguel Mota; Juan Manuel Dodero (ISD, 2018)

Co-active neuro-fuzzy inference system model as single imputation approach for non-monotone pattern of missing data. - Esther-Lydia Silva-Ramírez; Juan-Francisco Cabrera-Sánchez (Neural Comput. Appl., 2021)

Correction to: Co-active neuro-fuzzy inference system model as single imputation approach for non-monotone pattern of missing data. - Esther-Lydia Silva-Ramírez; Juan-Francisco Cabrera-Sánchez (Neural Comput. Appl., 2022)

Machine learning techniques for the ab initio Bravais lattice determination. - Esther-Lydia Silva-Ramírez; Inmaculada Cumbrera-Conde; Rafael Cano-Crespo; Francisco-Luis Cumbrera (Expert Syst. J. Knowl. Eng., 2023)

A Perspective on the Missing at Random Problem: Synthetic Generation and Benchmark Analysis. - Juan-Francisco Cabrera-Sánchez; Ricardo Cardoso Pereira; Pedro Henriques Abreu; Esther-Lydia Silva-Ramírez (IEEE Access, 2024)

Signal processing analysis for detection of anomalies in numerical series. - Inmaculada Cumbrera-Conde; Esther-Lydia Silva-Ramírez; Francisco-Luis Cumbrera (Expert Syst. Appl., 2024)

REDIBAGG: Reducing the training set size in ensemble machine learning-based prediction models. - Esther-Lydia Silva-Ramírez; Juan-Francisco Cabrera-Sánchez; Manuel López-Coello (Eng. Appl. Artif. Intell., 2025)