Manuel Castejón Limas

发表

Hierarchical clustering of subpopulations with a dissimilarity based on the likelihood ratio statistic: application to clustering massive data sets

Yves Lechevallier, Antonio Ciampi, Manuel Castejón Limas, 2008, Pattern Analysis and Applications.

Coupling the PAELLA Algorithm to Predictive Models

Héctor Alaiz-Moretón, Laura Fernández-Robles, Manuel Castejón Limas, 2017, SOCO-CISIS-ICEUTE.

Impact of flight simulators on teaching and learning simulink in an aerospace engineering course

Manuel Castejón Limas, Jaime Cifuentes Rodríguez, Ramón Ángel Fernández Díaz, 2016 .

Development of neural network-based models to predict mechanical properties of hot dip galvanised steel coils

Manuel Castejón Limas, Ana González-Marcos, Joaquín B. Ordieres Meré, 2011, Int. J. Data Min. Model. Manag..

Ground-level ozone predictions using outlier identification leveraged sample weighted regressors

Héctor Alaiz-Moretón, Laura Fernández-Robles, Manuel Castejón Limas, 2018, J. Exp. Theor. Artif. Intell..

Teaching Project Management to Multicultural Students: A Case Study at Universities of León and Xiangtan

Laura Fernández-Robles, Manuel Castejón Limas, Javier Alfonso-Cendón, 2017, SOCO-CISIS-ICEUTE.

Texture Descriptors for Automatic Estimation of Workpiece Quality in Milling

Laura Fernández-Robles, Manuel Castejón Limas, Hilde Pérez, 2019, HAIS.

AMORE: A MORE flexible neural network package

Ana González Marcos, Manuel Castejón Limas, Joaquin Ordieres Mere, 2014 .

Data Mining Techniques for the Estimation of Variables in Health-Related Noisy Data

Héctor Alaiz-Moretón, Laura Fernández-Robles, Manuel Castejón Limas, 2017, SOCO-CISIS-ICEUTE.

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, 2004, Data Mining and Knowledge Discovery.

Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods

Laura Fernández-Robles, Manuel Castejón Limas, Hilde Pérez, 2019, Sensors.

Genetic Algorithm Approach to the 3D Node Localization in TDOA Systems

Manuel Castejón Limas, Hilde Pérez, Lidia Sánchez-González, 2019, Sensors.

Learning process analysis using machine learning techniques

Manuel Castejón Limas, Luis Panizo Alonso, Javier Alfonso Cendón, 2018 .

Data Mining Applications in Steel Industry

Manuel Castejón Limas, Ana González-Marcos, Joaquín B. Ordieres Meré, 2009, Encyclopedia of Data Warehousing and Mining.

Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences

Eduardo Fidalgo, Laura Fernández-Robles, Manuel Castejón Limas, 2019, Sensors.

Sensor Fault Detection and Recovery Methodology for a Geothermal Heat Exchanger

Héctor Alaiz-Moretón, José Luís Casteleiro-Roca, Esteban Jove, 2018, HAIS.

Exploration of very large data sets: the CiTree algorithm

Antonio Ciampi, Manuel Castejón Limas, Fernando Alba Elias, 2005 .

Learning project management skills in engineering through a transversal coordination model

Ana González Marcos, Manuel Castejón Limas, Javier Alfonso Cendón, 2016 .

Information system for image classification based on frequency curve proximity

Paulo Novais, Manuel Castejón Limas, Joaquín B. Ordieres Meré, 2017, Inf. Syst..

Burr Detection Using Image Processing in Milling Workpieces

Laura Fernández-Robles, Manuel Castejón Limas, Lidia Sánchez-González, 2020, SOCO.

Tool Wear Estimation and Visualization Using Image Sensors in Micro Milling Manufacturing

Laura Fernández-Robles, Manuel Castejón Limas, Hilde Pérez, 2018, HAIS.

A Virtual Learning Environment to Support Project Management Teaching

Manuel Castejón Limas, Ana González-Marcos, Elisa Sainz-García, 2017, SOCO-CISIS-ICEUTE.

Hybrid Artificial Intelligent Systems: 14th International Conference, HAIS 2019, León, Spain, September 4–6, 2019, Proceedings

Manuel Castejón Limas, Hilde Pérez García, Emilio Corchado Rodríguez, 2019, HAIS.

3D Tdoa Problem Solution with Four Receiving Nodes

Laura Fernández-Robles, Manuel Castejón Limas, Hilde Pérez, 2019, Sensors.

Local Binary Pattern Features to Detect Anomalies in Machined Workpiece

Laura Fernández-Robles, Manuel Castejón Limas, Lidia Sánchez-González, 2020, HAIS.

Development of Projects as a Collaborative Tool for Competence Acquisition in the European Space for Higher Education Framework

Manuel Castejón Limas, Lidia Sánchez, Javier Alfonso-Cendón, 2013, SOCO-CISIS-ICEUTE.

A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques

Héctor Alaiz-Moretón, José Luís Casteleiro-Roca, Esteban Jove, 2019, Sensors.

Effort estimates through project complexity

Manuel Castejón Limas, Ana González-Marcos, Joaquín B. Ordieres Meré, 2011, Ann. Oper. Res..

PAELLA as a Booster in Weighted Regression

Héctor Alaiz-Moretón, Laura Fernández-Robles, Manuel Castejón Limas, 2017, SOCO-CISIS-ICEUTE.

Use of classifiers and recursive feature elimination to assess boar sperm viability

Héctor Quintián-Pardo, Emilio Corchado, Laura Fernández-Robles, 2018, Log. J. IGPL.

Non-removal strategy for outliers in predictive models: The PAELLA algorithm case

Héctor Alaiz-Moretón, Laura Fernández-Robles, Manuel Castejón Limas, 2019, Log. J. IGPL.

An improved way for evaluating competences: A different approach to project management learning

Manuel Castejón Limas, Ana González-Marcos, Joaquín B. Ordieres Meré, 2011, 2011 IEEE EUROCON - International Conference on Computer as a Tool.

Machine learning insights on the learning process

Héctor Alaiz-Moretón, Laura Fernández-Robles, Manuel Castejón Limas, 2016, TEEM.

Project Management Learning in a Collaborative Distant Learning Context - An Actual On-going Experience

Manuel Castejón Limas, Ana González-Marcos, Joaquín B. Ordieres Meré, 2011, CSEDU.

A Multi-agent Data Mining System for Defect Forecasting in a Decentralized Manufacturing Environment

Manuel Castejón Limas, Ana González-Marcos, Joaquín B. Ordieres Meré, 2010, CISIS.

Robust weighted regression via PAELLA sample weights

Héctor Alaiz-Moretón, Camino Fernández, Laura Fernández-Robles, 2020, Neurocomputing.

Process for predicting the quality of profiles resulting elastomers.

Ana González Marcos, Manuel Castejón Limas, Joaquin Ordieres Mere, 2009 .

Facilitating the learning process in parallel computing by using instant messaging

Miguel Ángel Conde González, Manuel Castejón Limas, Miguel Ángel Conde-González, 2021, J. Supercomput..