Manuel Castejón Limas - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 37 from 37

2022

2021

2020

Burr Detection Using Image Processing in Milling WorkpiecesVirginia RiegoDdel Castillo, Lidia Sánchez-González, Laura Fernández-Robles, Manuel Castejón Limas. softcomp 2021: 751-759 [doi]

Non-removal strategy for outliers in predictive models: The PAELLA algorithm caseManuel Castejón Limas, Héctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Camino Fernández Llamas, Lidia Sánchez-González, Hilde Pérez. igpl, 28(4):418-429, 2020. [doi]

Robust weighted regression via PAELLA sample weightsManuel Castejón Limas, Héctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Camino Fernández, Lidia Sánchez-González, Hilde Pérez. ijon, 391:325-333, 2020. [doi]

Local Binary Pattern Features to Detect Anomalies in Machined WorkpieceLidia Sánchez-González, Virginia Riego, Manuel Castejón Limas, Laura Fernández-Robles. HAIS 2020: 665-673 [doi]

A Learning Analytics tool for the analysis of students' Telegram messages in the context of teamwork virtual activitiesMiguel Á. Conde, Francisco Jesús Rodríguez-Sedano, Camino Fernández, Alexis Gutiérrez-Fernández, Laura Fernández-Robles, Manuel Castejón Limas. teem 2020: 719-724 [doi]

2019

A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent TechniquesHéctor Alaiz-Moretón, Manuel Castejón Limas, José Luís Casteleiro-Roca, Esteban Jove, Laura Fernández-Robles, José Luís Calvo-Rolle. sensors, 19(12):2740, 2019. [doi]

Ground-level ozone predictions using outlier identification leveraged sample weighted regressorsHéctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Manuel Castejón Limas, Lidia Sánchez-González, Hilde Pérez García. jetai, 31(6):829-840, 2019. [doi]

Genetic Algorithm Approach to the 3D Node Localization in TDOA SystemsJavier Díez-González, Rubén Álvarez, David González-Bárcena, Lidia Sánchez-González, Manuel Castejón Limas, Hilde Pérez. sensors, 19(18):3880, 2019. [doi]

3D Tdoa Problem Solution with Four Receiving NodesJavier Díez-González, Rubén Álvarez, Lidia Sánchez-González, Laura Fernández-Robles, Hilde Pérez, Manuel Castejón Limas. sensors, 19(13):2892, 2019. [doi]

Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels DifferencesOscar García-Olalla, Laura Fernández-Robles, Enrique Alegre, Manuel Castejón Limas, Eduardo Fidalgo. sensors, 19(5):1048, 2019. [doi]

Texture Descriptors for Automatic Estimation of Workpiece Quality in MillingManuel Castejón Limas, Lidia Sánchez-González, Javier Díez-González, Laura Fernández-Robles, Virginia Riego, Hilde Pérez. HAIS 2019: 734-744 [doi]

Accuracy Analysis in Sensor Networks for Asynchronous Positioning MethodsRubén Álvarez, Javier Díez-González, Efrén Alonso, Laura Fernández-Robles, Manuel Castejón Limas, Hilde Pérez. sensors, 19(13):3024, 2019. [doi]

Facilitating the learning process in parallel computing by using instant messagingÁngel Manuel Guerrero Higueras, Lidia Sánchez-González, Miguel Ángel Conde, Francisco J. Rodríguez Lera, Manuel Castejón Limas, Nicolai Petkov. teem 2019: 558-563 [doi]

2018

2017

Data Mining Techniques for the Estimation of Variables in Health-Related Noisy DataHéctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Manuel Castejón Limas, Lidia Sánchez-González, Hilde Pérez. softcomp 2018: 482-491 [doi]

Teaching Project Management to Multicultural Students: A Case Study at Universities of León and XiangtanLaura Fernández-Robles, Manuel Castejón Limas, Javier Alfonso-Cendón, Gabriel Medina. softcomp 2018: 736-742 [doi]

A Virtual Learning Environment to Support Project Management TeachingAna González-Marcos, Rubén Olarte-Valentín, Elisa Sainz-García, Rodolfo Múgica-Vidal, Manuel Castejón Limas. softcomp 2018: 751-759 [doi]

Coupling the PAELLA Algorithm to Predictive ModelsManuel Castejón Limas, Héctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Camino Fernández Llamas, Lidia Sánchez-González, Hilde Pérez. softcomp 2018: 505-512 [doi]

PAELLA as a Booster in Weighted RegressionManuel Castejón Limas, Héctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Camino Fernández Llamas, Lidia Sánchez-González, Hilde Pérez. softcomp 2018: 259-265 [doi]

Information system for image classification based on frequency curve proximityLidia Sánchez, Javier Alfonso-Cendón, Tiago Oliveira, Joaquín B. Ordieres Meré, Manuel Castejón Limas, Paulo Novais. is, 64:12-21, 2017. [doi]

2016

Machine learning insights on the learning processLaura Fernández-Robles, Héctor Alaiz-Moretón, Javier Alfonso-Cendón, Manuel Castejón Limas, Luis Panizo-Alonso. teem 2016: 349-353 [doi]

2013

Development of Projects as a Collaborative Tool for Competence Acquisition in the European Space for Higher Education FrameworkJavier Alfonso, Manuel Castejón Limas, Lidia Sánchez, Raquel González, José Vallepuga. softcomp 2014: 651-658 [doi]

2011

Project Management Learning in a Collaborative Distant Learning Context - An Actual On-going ExperienceEnrique Crespo, Fernando Alba-Elías, Ana González-Marcos, Joaquín B. Ordieres Meré, Manuel Castejón Limas. csedu 2011: 105-110

An improved way for evaluating competences: A different approach to project management learningE. Crespo, Ana González-Marcos, F. Alba Elías, Manuel Castejón Limas, Joaquín B. Ordieres Meré. eurocon 2011: 1-4 [doi]

Development of neural network-based models to predict mechanical properties of hot dip galvanised steel coilsAna González-Marcos, Fernando Alba-Elías, Manuel Castejón Limas, Joaquín B. Ordieres Meré. ijdmmm, 3(4):389-405, 2011. [doi]

Effort estimates through project complexityManuel Castejón Limas, Joaquín B. Ordieres Meré, Ana González-Marcos, Víctor González-Castro. anor, 186(1):395-406, 2011. [doi]

2010

A Multi-agent Data Mining System for Defect Forecasting in a Decentralized Manufacturing EnvironmentJavier Alfonso-Cendón, Ana González-Marcos, Manuel Castejón Limas, Joaquín B. Ordieres Meré. cisis-spain 2010: 43-50 [doi]

2008

Hierarchical clustering of subpopulations with a dissimilarity based on the likelihood ratio statistic: application to clustering massive data setsAntonio Ciampi, Yves Lechevallier, Manuel Castejón Limas, Ana González-Marcos. paa, 11(2):199-220, 2008. [doi]

2004

Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The ::::PAELLA:::: AlgorithmManuel Castejón Limas, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Eliseo P. Vergara González. datamine, 9(2):171-187, 2004. [doi]

All Publications

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag
OR AND NOT 1

Filter by Venue
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1

Researchr

Publications by 'Manuel Castejón Limas'

Viewing Publication 1 - 37 from 37

2022

2021

2020

2019

2018

2017

2016

2013

2011

2010

2008

2004

All Publications

Filter by YearOR AND NOT 1

Filter by TypeOR AND NOT 1

Filter by TagOR AND NOT 1

Filter by VenueOR AND NOT 1

Filter by Author [+]OR AND NOT 1

Filter by Top Terms [+]OR AND NOT 1

Researchr

Publications by 'Manuel Castejón Limas'

Viewing Publication 1 - 37 from 37

2022

2021

2020

2019

2018

2017

2016

2013

2011

2010

2008

2004

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag
OR AND NOT 1

Filter by Venue
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1