Manuel Castejón Limas

According to our database1, Manuel Castejón Limas authored at least 27 papers between 2004 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences.
Sensors, 2019

3D Tdoa Problem Solution with Four Receiving Nodes.
Sensors, 2019

Genetic Algorithm Approach to the 3D Node Localization in TDOA Systems.
Sensors, 2019

Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods.
Sensors, 2019

A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques.
Sensors, 2019

MAYOR: Machine Learning and Analytics for Automated Operations and Recovery.
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019

Texture Descriptors for Automatic Estimation of Workpiece Quality in Milling.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018
Use of classifiers and recursive feature elimination to assess boar sperm viability.
Logic Journal of the IGPL, 2018

Tool Wear Estimation and Visualization Using Image Sensors in Micro Milling Manufacturing.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

Sensor Fault Detection and Recovery Methodology for a Geothermal Heat Exchanger.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017
Information system for image classification based on frequency curve proximity.
Inf. Syst., 2017

Coupling the PAELLA Algorithm to Predictive Models.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

PAELLA as a Booster in Weighted Regression.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

A Virtual Learning Environment to Support Project Management Teaching.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

Teaching Project Management to Multicultural Students: A Case Study at Universities of León and Xiangtan.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

Data Mining Techniques for the Estimation of Variables in Health-Related Noisy Data.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

2016
Machine learning insights on the learning process.
Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality, Salamanca, Spain, November 02, 2016

2013
Development of Projects as a Collaborative Tool for Competence Acquisition in the European Space for Higher Education Framework.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013

2011
Development of neural network-based models to predict mechanical properties of hot dip galvanised steel coils.
IJDMMM, 2011

Effort estimates through project complexity.
Annals OR, 2011

An improved way for evaluating competences: A different approach to project management learning.
Proceedings of EUROCON 2011, 2011

Project Management Learning in a Collaborative Distant Learning Context - An Actual On-going Experience.
Proceedings of the CSEDU 2011, 2011

2010
A Multi-agent Data Mining System for Defect Forecasting in a Decentralized Manufacturing Environment.
Proceedings of the Computational Intelligence in Security for Information Systems 2010, 2010

2009
Data Mining Applications in Steel Industry.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

2008
Hierarchical clustering of subpopulations with a dissimilarity based on the likelihood ratio statistic: application to clustering massive data sets.
Pattern Anal. Appl., 2008

Computer Vision and Classification Techniques on the Surface Finish Control in Machining Processes.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

2004
Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The PAELLA Algorithm.
Data Min. Knowl. Discov., 2004


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