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ORCIDManuel Castejón Limas
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- affiliation: Universidad de León, Spain
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Journal Articles
- 2022
[j19]Hilde Pérez García, Lidia Sánchez-González, Manuel Castejón Limas, Héctor Quintián
, Emilio Corchado:
Editorial: Special issue HAIS19-IGPL. Log. J. IGPL 30(4): 563-565 (2022)- [j18]Manuel Castejón Limas, Laura Fernández-Robles, Héctor Alaiz-Moretón, Jaime Cifuentes-Rodriguez, Camino Fernández Llamas:
A Framework for the Optimization of Complex Cyber-Physical Systems via Directed Acyclic Graph. Sensors 22(4): 1490 (2022) - 2021
- [j17]Laura Fernández-Robles, Lidia Sánchez-González, Javier Díez-González, Manuel Castejón Limas, Hilde Pérez:
Use of image processing to monitor tool wear in micro milling. Neurocomputing 452: 333-340 (2021) - [j16]Virginia Riego, Manuel Castejón Limas, Lidia Sánchez-González, Laura Fernández-Robles, Hilde Pérez, Javier Díez-González, Ángel Manuel Guerrero-Higueras:
Strong classification system for wear identification on milling processes using computer vision and ensemble learning. Neurocomputing 456: 678-684 (2021) - [j15]Ángel Manuel Guerrero-Higueras, Lidia Sánchez-González, Miguel Ángel Conde González, Manuel Castejón Limas:
Facilitating the learning process in parallel computing by using instant messaging. J. Supercomput. 77(4): 3899-3913 (2021) - 2020
- [j14]Manuel Castejón Limas, Héctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Camino Fernández Llamas, Lidia Sánchez-González, Hilde Pérez:
Non-removal strategy for outliers in predictive models: The PAELLA algorithm case. Log. J. IGPL 28(4): 418-429 (2020) - [j13]Manuel Castejón Limas, Héctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Camino Fernández, Lidia Sánchez-González, Hilde Pérez:
Robust weighted regression via PAELLA sample weights. Neurocomputing 391: 325-333 (2020) - 2019
- [j12]Héctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Manuel Castejón Limas, Lidia Sánchez-González, Hilde Pérez García:
Ground-level ozone predictions using outlier identification leveraged sample weighted regressors. J. Exp. Theor. Artif. Intell. 31(6): 829-840 (2019) - [j11]Oscar García-Olalla, Laura Fernández-Robles, Enrique Alegre, Manuel Castejón Limas, Eduardo Fidalgo:
Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences. Sensors 19(5): 1048 (2019) - [j10]Héctor Alaiz-Moretón, Manuel Castejón Limas, José Luís Casteleiro-Roca, Esteban Jove, Laura Fernández-Robles, José Luís Calvo-Rolle:
A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques. Sensors 19(12): 2740 (2019) - [j9]Javier Díez-González, Rubén Álvarez, Lidia Sánchez-González, Laura Fernández-Robles, Hilde Pérez, Manuel Castejón Limas:
3D Tdoa Problem Solution with Four Receiving Nodes. Sensors 19(13): 2892 (2019) - [j8]Rubén Álvarez, Javier Díez-González, Efrén Alonso, Laura Fernández-Robles, Manuel Castejón Limas, Hilde Pérez:
Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods. Sensors 19(13): 3024 (2019) - [j7]Javier Díez-González, Rubén Álvarez, David González-Bárcena, Lidia Sánchez-González, Manuel Castejón Limas, Hilde Pérez:
Genetic Algorithm Approach to the 3D Node Localization in TDOA Systems. Sensors 19(18): 3880 (2019) - 2018
- [j6]Lidia Sánchez-González, Laura Fernández-Robles, Manuel Castejón Limas, Javier Alfonso-Cendón, Hilde Pérez, Héctor Quintián, Emilio Corchado:
Use of classifiers and recursive feature elimination to assess boar sperm viability. Log. J. IGPL 26(6): 629-637 (2018) - 2017
- [j5]Lidia Sánchez, Javier Alfonso-Cendón, Tiago Oliveira, Joaquín B. Ordieres Meré, Manuel Castejón Limas, Paulo Novais:
Information system for image classification based on frequency curve proximity. Inf. Syst. 64: 12-21 (2017) - 2011
- [j4]Manuel Castejón Limas, Joaquín B. Ordieres Meré, Ana González-Marcos, Víctor González-Castro:
Effort estimates through project complexity. Ann. Oper. Res. 186(1): 395-406 (2011) - [j3]Ana González-Marcos, Fernando Alba-Elías, Manuel Castejón Limas, Joaquín B. Ordieres Meré:
Development of neural network-based models to predict mechanical properties of hot dip galvanised steel coils. Int. J. Data Min. Model. Manag. 3(4): 389-405 (2011) - 2008
- [j2]Antonio Ciampi, Yves Lechevallier, Manuel Castejón Limas, Ana González-Marcos:
Hierarchical clustering of subpopulations with a dissimilarity based on the likelihood ratio statistic: application to clustering massive data sets. Pattern Anal. Appl. 11(2): 199-220 (2008) - 2004
- [j1]Manuel Castejón Limas, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Eliseo P. Vergara González:
Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The PAELLA Algorithm. Data Min. Knowl. Discov. 9(2): 171-187 (2004)
Conference and Workshop Papers
- 2022
- [c20]Virginia Riego-Del Castillo, Lidia Sánchez-González, Laura Fernández-Robles, Manuel Castejón Limas, Rubén Rebollar:
Estimation of Lamb Weight Using Transfer Learning and Regression. SOCO 2022: 23-30 - 2020
- [c19]Lidia Sánchez-González, Virginia Riego, Manuel Castejón Limas, Laura Fernández-Robles:
Local Binary Pattern Features to Detect Anomalies in Machined Workpiece. HAIS 2020: 665-673 - [c18]Virginia Riego-Del Castillo, Lidia Sánchez-González, Laura Fernández-Robles, Manuel Castejón Limas:
Burr Detection Using Image Processing in Milling Workpieces. SOCO 2020: 751-759 - [c17]Miguel Á. Conde, Francisco Jesús Rodríguez-Sedano, Camino Fernández, Alexis Gutiérrez-Fernández, Laura Fernández-Robles, Manuel Castejón Limas:
A Learning Analytics tool for the analysis of students' Telegram messages in the context of teamwork virtual activities. TEEM 2020: 719-724 - 2019
- [c16]Manuel Castejón Limas, Lidia Sánchez-González, Javier Díez-González, Laura Fernández-Robles, Virginia Riego, Hilde Pérez:
Texture Descriptors for Automatic Estimation of Workpiece Quality in Milling. HAIS 2019: 734-744 - [c15]Rashid Mijumbi, Abhaya Asthana, Carlos Bernal, Manuel Castejón:
MAYOR: Machine Learning and Analytics for Automated Operations and Recovery. ICCCN 2019: 1-9 - [c14]Ángel Manuel Guerrero-Higueras, Lidia Sánchez-González, Miguel Ángel Conde, Francisco J. Rodríguez-Lera, Manuel Castejón Limas, Nicolai Petkov:
Facilitating the learning process in parallel computing by using instant messaging. TEEM 2019: 558-563 - 2018
- [c13]Héctor Alaiz-Moretón, José Luís Casteleiro-Roca, Laura Fernández-Robles, Esteban Jove, Manuel Castejón Limas, José Luís Calvo-Rolle:
Sensor Fault Detection and Recovery Methodology for a Geothermal Heat Exchanger. HAIS 2018: 171-184 - [c12]Laura Fernández-Robles, Noelia Charro, Lidia Sánchez-González, Hilde Pérez, Manuel Castejón Limas, Javier Alfonso-Cendón:
Tool Wear Estimation and Visualization Using Image Sensors in Micro Milling Manufacturing. HAIS 2018: 399-410 - 2017
- [c11]Manuel Castejón Limas, Héctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Camino Fernández Llamas, Lidia Sánchez-González, Hilde Pérez:
PAELLA as a Booster in Weighted Regression. SOCO-CISIS-ICEUTE 2017: 259-265 - [c10]Héctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Manuel Castejón Limas, Lidia Sánchez-González, Hilde Pérez:
Data Mining Techniques for the Estimation of Variables in Health-Related Noisy Data. SOCO-CISIS-ICEUTE 2017: 482-491 - [c9]Manuel Castejón Limas, Héctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Camino Fernández Llamas, Lidia Sánchez-González, Hilde Pérez:
Coupling the PAELLA Algorithm to Predictive Models. SOCO-CISIS-ICEUTE 2017: 505-512 - [c8]Laura Fernández-Robles, Manuel Castejón Limas, Javier Alfonso-Cendón, Gabriel Medina:
Teaching Project Management to Multicultural Students: A Case Study at Universities of León and Xiangtan. SOCO-CISIS-ICEUTE 2017: 736-742 - [c7]Ana González-Marcos, Rubén Olarte-Valentín, Elisa Sainz-García, Rodolfo Múgica-Vidal, Manuel Castejón Limas:
A Virtual Learning Environment to Support Project Management Teaching. SOCO-CISIS-ICEUTE 2017: 751-759 - 2016
- [c6]Laura Fernández-Robles, Héctor Alaiz-Moretón, Javier Alfonso-Cendón, Manuel Castejón Limas, Luis Panizo-Alonso:
Machine learning insights on the learning process. TEEM 2016: 349-353 - 2013
- [c5]Javier Alfonso, Manuel Castejón Limas, Lidia Sánchez, Raquel González, José Vallepuga:
Development of Projects as a Collaborative Tool for Competence Acquisition in the European Space for Higher Education Framework. SOCO-CISIS-ICEUTE 2013: 651-658 - 2011
- [c4]Enrique Crespo, Fernando Alba-Elías, Ana González-Marcos, Joaquín B. Ordieres Meré, Manuel Castejón Limas:
Project Management Learning in a Collaborative Distant Learning Context - An Actual On-going Experience. CSEDU (2) 2011: 105-110 - [c3]Enrique Crespo, Ana González-Marcos, Fernando Alba-Elías, Manuel Castejón Limas, Joaquín B. Ordieres Meré:
An improved way for evaluating competences: A different approach to project management learning. EUROCON 2011: 1-4 - 2010
- [c2]Javier Alfonso-Cendón, Ana González-Marcos, Manuel Castejón Limas, Joaquín B. Ordieres Meré:
A Multi-agent Data Mining System for Defect Forecasting in a Decentralized Manufacturing Environment. CISIS 2010: 43-50 - 2008
- [c1]Enrique Alegre, Joaquín Barreiro, Manuel Castejón, Sir Suarez:
Computer Vision and Classification Techniques on the Surface Finish Control in Machining Processes. ICIAR 2008: 1101-1110
Editorship
- 2019
- [e1]Hilde Pérez García, Lidia Sánchez-González, Manuel Castejón Limas, Héctor Quintián-Pardo, Emilio S. Corchado Rodríguez:
Hybrid Artificial Intelligent Systems - 14th International Conference, HAIS 2019, León, Spain, September 4-6, 2019, Proceedings. Lecture Notes in Computer Science 11734, Springer 2019, ISBN 978-3-030-29858-6 [contents]
Reference Works
- 2009
- [r1]Joaquín B. Ordieres Meré, Manuel Castejón Limas, Ana González-Marcos:
Data Mining Applications in Steel Industry. Encyclopedia of Data Warehousing and Mining 2009: 400-405
Coauthor Index
aka: Javier Alfonso
aka: Hilde Pérez García
aka: Lidia Sánchez
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last updated on 2024-05-08 23:50 CEST by the dblp team
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