Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The PAELLA Algorithm. - Manuel Castejón Limas; Joaquín B. Ordieres Meré; Francisco J. Martínez de Pisón Ascacibar; Eliseo P. Vergara González (Data Min. Knowl. Discov., 2004)

Computer Vision and Classification Techniques on the Surface Finish Control in Machining Processes. - Enrique Alegre; Joaquín Barreiro; Manuel Castejón; Sir Suarez (ICIAR, 2008)

Hierarchical clustering of subpopulations with a dissimilarity based on the likelihood ratio statistic: application to clustering massive data sets. - Antonio Ciampi; Yves Lechevallier; Manuel Castejón Limas; Ana González-Marcos (Pattern Anal. Appl., 2008)

Data Mining Applications in Steel Industry. - Joaquín B. Ordieres Meré; Manuel Castejón Limas; Ana González-Marcos (Encyclopedia of Data Warehousing and Mining, 2009)

A Multi-agent Data Mining System for Defect Forecasting in a Decentralized Manufacturing Environment. - Javier Alfonso-Cendón; Ana González-Marcos; Manuel Castejón Limas; Joaquín B. Ordieres Meré (CISIS, 2010)

Project Management Learning in a Collaborative Distant Learning Context - An Actual On-going Experience. - Enrique Crespo; Fernando Alba-Elías; Ana González-Marcos; Joaquín B. Ordieres Meré; Manuel Castejón Limas (CSEDU (2), 2011)

An improved way for evaluating competences: A different approach to project management learning. - Enrique Crespo; Ana González-Marcos; Fernando Alba-Elías; Manuel Castejón Limas; Joaquín B. Ordieres Meré (EUROCON, 2011)

Effort estimates through project complexity. - Manuel Castejón Limas; Joaquín B. Ordieres Meré; Ana González-Marcos; Víctor González-Castro (Ann. Oper. Res., 2011)

Development of neural network-based models to predict mechanical properties of hot dip galvanised steel coils. - Ana González-Marcos; Fernando Alba-Elías; Manuel Castejón Limas; Joaquín B. Ordieres Meré (Int. J. Data Min. Model. Manag., 2011)

Development of Projects as a Collaborative Tool for Competence Acquisition in the European Space for Higher Education Framework. - Javier Alfonso; Manuel Castejón Limas; Lidia Sánchez; Raquel González; José Vallepuga (SOCO-CISIS-ICEUTE, 2013)

Machine learning insights on the learning process. - Laura Fernández-Robles; Héctor Alaiz-Moretón; Javier Alfonso-Cendón; Manuel Castejón Limas; Luis Panizo-Alonso (TEEM, 2016)

Data Mining Techniques for the Estimation of Variables in Health-Related Noisy Data. - Héctor Alaiz-Moretón; Laura Fernández-Robles; Javier Alfonso-Cendón; Manuel Castejón Limas; Lidia Sánchez-González; Hilde Pérez 001 (SOCO-CISIS-ICEUTE, 2017)

Teaching Project Management to Multicultural Students: A Case Study at Universities of León and Xiangtan. - Laura Fernández-Robles; Manuel Castejón Limas; Javier Alfonso-Cendón; Gabriel Medina (SOCO-CISIS-ICEUTE, 2017)

A Virtual Learning Environment to Support Project Management Teaching. - Ana González-Marcos; Rubén Olarte-Valentín; Elisa Sainz-García; Rodolfo Múgica-Vidal; Manuel Castejón Limas (SOCO-CISIS-ICEUTE, 2017)

PAELLA as a Booster in Weighted Regression. - Manuel Castejón Limas; Héctor Alaiz-Moretón; Laura Fernández-Robles; Javier Alfonso-Cendón; Camino Fernández Llamas; Lidia Sánchez-González; Hilde Pérez 001 (SOCO-CISIS-ICEUTE, 2017)

Coupling the PAELLA Algorithm to Predictive Models. - Manuel Castejón Limas; Héctor Alaiz-Moretón; Laura Fernández-Robles; Javier Alfonso-Cendón; Camino Fernández Llamas; Lidia Sánchez-González; Hilde Pérez 001 (SOCO-CISIS-ICEUTE, 2017)

Information system for image classification based on frequency curve proximity. - Lidia Sánchez; Javier Alfonso-Cendón; Tiago Oliveira 002; Joaquín B. Ordieres Meré; Manuel Castejón Limas; Paulo Novais (Inf. Syst., 2017)

Sensor Fault Detection and Recovery Methodology for a Geothermal Heat Exchanger. - Héctor Alaiz-Moretón; José Luís Casteleiro-Roca; Laura Fernández-Robles; Esteban Jove; Manuel Castejón Limas; José Luís Calvo-Rolle (HAIS, 2018)

Tool Wear Estimation and Visualization Using Image Sensors in Micro Milling Manufacturing. - Laura Fernández-Robles; Noelia Charro; Lidia Sánchez-González; Hilde Pérez 001; Manuel Castejón Limas; Javier Alfonso-Cendón (HAIS, 2018)

Use of classifiers and recursive feature elimination to assess boar sperm viability. - Lidia Sánchez-González; Laura Fernández-Robles; Manuel Castejón Limas; Javier Alfonso-Cendón; Hilde Pérez 001; Héctor Quintián; Emilio Corchado (Log. J. IGPL, 2018)

Texture Descriptors for Automatic Estimation of Workpiece Quality in Milling. - Manuel Castejón Limas; Lidia Sánchez-González; Javier Díez-González; Laura Fernández-Robles; Virginia Riego; Hilde Pérez 001 (HAIS, 2019)

MAYOR: Machine Learning and Analytics for Automated Operations and Recovery. - Rashid Mijumbi; Abhaya Asthana; Carlos Bernal; Manuel Castejón (ICCCN, 2019)

Facilitating the learning process in parallel computing by using instant messaging. - Ángel Manuel Guerrero-Higueras; Lidia Sánchez-González; Miguel Ángel Conde; Francisco J. Rodríguez-Lera; Manuel Castejón Limas; Nicolai Petkov (TEEM, 2019)

Ground-level ozone predictions using outlier identification leveraged sample weighted regressors. - Héctor Alaiz-Moretón; Laura Fernández-Robles; Javier Alfonso-Cendón; Manuel Castejón Limas; Lidia Sánchez-González; Hilde Pérez García (J. Exp. Theor. Artif. Intell., 2019)

A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques. - Héctor Alaiz-Moretón; Manuel Castejón Limas; José Luís Casteleiro-Roca; Esteban Jove; Laura Fernández-Robles; José Luís Calvo-Rolle (Sensors, 2019)

Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods. - Rubén Álvarez; Javier Díez-González; Efrén Alonso; Laura Fernández-Robles; Manuel Castejón Limas; Hilde Pérez 001 (Sensors, 2019)

Genetic Algorithm Approach to the 3D Node Localization in TDOA Systems. - Javier Díez-González; Rubén Álvarez; David González-Bárcena; Lidia Sánchez-González; Manuel Castejón Limas; Hilde Pérez 001 (Sensors, 2019)

3D Tdoa Problem Solution with Four Receiving Nodes. - Javier Díez-González; Rubén Álvarez; Lidia Sánchez-González; Laura Fernández-Robles; Hilde Pérez 001; Manuel Castejón Limas (Sensors, 2019)

Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences. - Oscar García-Olalla; Laura Fernández-Robles; Enrique Alegre; Manuel Castejón Limas; Eduardo Fidalgo (Sensors, 2019)

Local Binary Pattern Features to Detect Anomalies in Machined Workpiece. - Lidia Sánchez-González; Virginia Riego; Manuel Castejón Limas; Laura Fernández-Robles (HAIS, 2020)

Burr Detection Using Image Processing in Milling Workpieces. - Virginia Riego-Del Castillo; Lidia Sánchez-González; Laura Fernández-Robles; Manuel Castejón Limas (SOCO, 2020)

A Learning Analytics tool for the analysis of students' Telegram messages in the context of teamwork virtual activities. - Miguel Á. Conde; Francisco Jesús Rodríguez-Sedano; Camino Fernández 001; Alexis Gutiérrez-Fernández; Laura Fernández-Robles; Manuel Castejón Limas (TEEM, 2020)

Non-removal strategy for outliers in predictive models: The PAELLA algorithm case. - Manuel Castejón Limas; Héctor Alaiz-Moretón; Laura Fernández-Robles; Javier Alfonso-Cendón; Camino Fernández Llamas; Lidia Sánchez-González; Hilde Pérez 001 (Log. J. IGPL, 2020)

Robust weighted regression via PAELLA sample weights. - Manuel Castejón Limas; Héctor Alaiz-Moretón; Laura Fernández-Robles; Javier Alfonso-Cendón; Camino Fernández 001; Lidia Sánchez-González; Hilde Pérez 001 (Neurocomputing, 2020)

Use of image processing to monitor tool wear in micro milling. - Laura Fernández-Robles; Lidia Sánchez-González; Javier Díez-González; Manuel Castejón Limas; Hilde Pérez 001 (Neurocomputing, 2021)

Strong classification system for wear identification on milling processes using computer vision and ensemble learning. - Virginia Riego; Manuel Castejón Limas; Lidia Sánchez-González; Laura Fernández-Robles; Hilde Pérez 001; Javier Díez-González; Ángel Manuel Guerrero-Higueras (Neurocomputing, 2021)

Facilitating the learning process in parallel computing by using instant messaging. - Ángel Manuel Guerrero-Higueras; Lidia Sánchez-González; Miguel Ángel Conde González; Manuel Castejón Limas (J. Supercomput., 2021)

Estimation of Lamb Weight Using Transfer Learning and Regression. - Virginia Riego-Del Castillo; Lidia Sánchez-González; Laura Fernández-Robles; Manuel Castejón Limas; Rubén Rebollar (SOCO, 2022)

Editorial: Special issue HAIS19-IGPL. - Hilde Pérez García; Lidia Sánchez-González; Manuel Castejón Limas; Héctor Quintián; Emilio Corchado (Log. J. IGPL, 2022)

A Framework for the Optimization of Complex Cyber-Physical Systems via Directed Acyclic Graph. - Manuel Castejón Limas; Laura Fernández-Robles; Héctor Alaiz-Moretón; Jaime Cifuentes-Rodriguez; Camino Fernández Llamas (Sensors, 2022)

The formula for the completion time of project networks. - Manuel Castejón Limas; Gabriel Medina; Virginia Riego-Del Castillo; Laura Fernández-Robles (CoRR, 2024)

Explainable multi-layer COSFIRE filters robust to corruptions and boundary attack with application to retina and palmprint biometrics. - Adrian Apap; Amey Bhole; Laura Fernández-Robles; Manuel Castejón Limas; George Azzopardi (Neural Comput. Appl., 2024)