Esther-Lydia Silva-Ramírez

13 papers Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
REDIBAGG: Reducing the training set size in ensemble machine learning-based prediction models.
Eng. Appl. Artif. Intell.
Esther-Lydia Silva-Ramírez, Juan-Francisco Cabrera-Sánchez, Manuel López-Coello
2024 — conf
A Benchmark for Missing Data Imputation Techniques: Development Perspectives and Performance Comparative.
OLA
Juan-Francisco Cabrera-Sánchez, Carlos Cruz Corona, Andrés Yáñez Escolano, Esther-Lydia Silva-Ramírez
2024 J jnl
A Perspective on the Missing at Random Problem: Synthetic Generation and Benchmark Analysis.
IEEE Access
Juan-Francisco Cabrera-Sánchez, Ricardo Cardoso Pereira, Pedro Henriques Abreu, Esther-Lydia Silva-Ramírez
2024 J jnl
Signal processing analysis for detection of anomalies in numerical series.
Expert Syst. Appl.
Inmaculada Cumbrera-Conde, Esther-Lydia Silva-Ramírez, Francisco-Luis Cumbrera
2023 J jnl
Machine learning techniques for the ab initio Bravais lattice determination.
Expert Syst. J. Knowl. Eng.
Esther-Lydia Silva-Ramírez, Inmaculada Cumbrera-Conde, Rafael Cano-Crespo, Francisco-Luis Cumbrera
2022 J jnl
Correction to: Co-active neuro-fuzzy inference system model as single imputation approach for non-monotone pattern of missing data.
Neural Comput. Appl.
Esther-Lydia Silva-Ramírez, Juan-Francisco Cabrera-Sánchez
2021 J jnl
Co-active neuro-fuzzy inference system model as single imputation approach for non-monotone pattern of missing data.
Neural Comput. Appl.
Esther-Lydia Silva-Ramírez, Juan-Francisco Cabrera-Sánchez
2018 — conf
Vary: An IDE for Designing Algorithms and Measuring Quality.
ISD
Tatiana Person, Iván Ruiz-Rube, Nuria Hurtado, Esther-Lydia Silva-Ramírez, José Miguel Mota, Juan Manuel Dodero
2015 J jnl
Single imputation with multilayer perceptron and multiple imputation combining multilayer perceptron and k-nearest neighbours for monotone patterns.
Appl. Soft Comput.
Esther-Lydia Silva-Ramírez, Rafael Pino-Mejías, Manuel López-Coello
2011 J jnl
Missing value imputation on missing completely at random data using multilayer perceptrons.
Neural Networks
Esther-Lydia Silva-Ramírez, Rafael Pino-Mejías, Manuel López-Coello, María-Dolores Cubiles-de-la-Vega
2009 — conf
Evaluating the Performance of the Multilayer Perceptron as a Data Editing Tool.
IWANN (1)
María-Dolores Cubiles-de-la-Vega, Esther-Lydia Silva-Ramírez, Rafael Pino-Mejías, Manuel López-Coello
2005 — conf
Non-Linear Modelling Time Series from ARIMA Fitting.
CIMCA/IAWTIC
Rafael Pino-Mejías, Esther-Lydia Silva-Ramírez, María-Dolores Cubiles-de-la-Vega, Manuel López-Coello
2004 — conf
Bagging Classification Models with Reduced Bootstrap.
SSPR/SPR
Rafael Pino-Mejías, María-Dolores Cubiles-de-la-Vega, Manuel López-Coello, Esther-Lydia Silva-Ramírez, María-Dolores Jiménez-Gamero