Manuel Castejón Limas
Manuel Castejón Limas
Associate Professor (Universidad de León)
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Cited by
Cited by
Técnicas y algoritmos básicos de visión artificial
A González, F Martínez, A Pernía, F Alba, M Castejón, J Ordieres, ...
La Rioja: Universidad de la Rioja, 2006
Outlier detection and data cleaning in multivariate non-normal samples: the PAELLA algorithm
MC Limas, JBO Meré, FJM de Pisón Ascacibar, EPV González
Data Mining and Knowledge Discovery 9 (2), 171-187, 2004
Steel annealing furnace robust neural network model
A Pernía-Espinoza, M Castejón-Limas, A González-Marcos, ...
Ironmaking & Steelmaking 32 (5), 418-426, 2005
Correspondence analysis and 2-way clustering
A Ciampi, A González Marcos, M Castejón Limas
SORT. 2005, Vol. 29, Núm. 1 [January-June], 2005
Effort estimates through project complexity
M Castejón-Limas, J Ordieres-Meré, A González-Marcos, ...
Annals of Operations research 186 (1), 395-406, 2011
AMORE: A MORE flexible neural network package
M Castejón, J Ordieres, A González
R package version 0.2 9, 2006
AMORE: A MORE flexible neural network package
M Castejón, J Ordieres, A González
R package version 0.2 9, 2006
Hierarchical clustering of subpopulations with a dissimilarity based on the likelihood ratio statistic: application to clustering massive data sets
A Ciampi, Y Lechevallier, MC Limas, AG Marcos
Pattern Analysis and Applications 11 (2), 199-220, 2008
Improvement and optimisation of hot dip galvanising line using neural networks and genetic algorithms
FJ Martínez-de-Pisón, F Alba-Elías, M Castejón-Limas, ...
Ironmaking & steelmaking 33 (4), 344-352, 2006
Project management learning in a collaborative distant learning context-an actual on-going experience
E Crespo, F Alba-Elías, A González-Marcos, J Ordieres-Meré, ...
International Conference on Computer Supported Education 2, 105-110, 2011
Development of neural network-based models to predict mechanical properties of hot dip galvanised steel coils
A Gonzalez-Marcos, F Alba-Elias, M Castejon-Limas, J Ordieres-Mere
International Journal of Data Mining, Modelling and Management 3 (4), 389-405, 2011
Data mining and simulation processes as useful tools for industrial processes
JO Meré, FA Elías, AG Marcos, MC Limas, FJM De Pisón Ascacíbar
Proceedings of the 5th WSEAS international conference on Simulation …, 2005
Learning by doing in project management: Acquiring skills through a collaborative model
JR Cobo-Benita, J Ordieres-Meré, I Ortiz-Marcos, A Pacios-Álvarez
IEEE EDUCON 2010 Conference, 701-708, 2010
Técnicas y algoritmos básicos de visión artificial
A González Marcos, FJ Martínez de Pisón Ascacíbar, AV Pernía Espinoza, ...
Universidad de La Rioja, Logroño, 2006
Composting of spent mushroom substrate and winery sludge
A González-Marcos, F Alba-Elías, FJ Martínez-de-Pisón, ...
Compost Science & Utilization 23 (1), 58-65, 2015
The AMORE package: A MORE flexible neural network package
M Castejón-Limas, JB Ordieres Meré, EP Vergara, FJ Martínez-de-Pisón, ...
R package), http://cran. r-project. org, 2009
Accuracy analysis in sensor networks for asynchronous positioning methods
R Álvarez, J Díez-González, E Alonso, L Fernández-Robles, ...
Sensors 19 (13), 3024, 2019
A virtual learning environment to support project management teaching
A González-Marcos, R Olarte-Valentín, E Sainz-García, R Múgica-Vidal, ...
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain …, 2017
3D Tdoa problem solution with four receiving nodes
J Díez-González, R Álvarez, L Sánchez-González, L Fernández-Robles, ...
Sensors 19 (13), 2892, 2019
Identification of milling inserts in situ based on a versatile machine vision system
L Fernández-Robles, G Azzopardi, E Alegre, N Petkov, M Castejon-Limas
Journal of Manufacturing Systems 45, 48-57, 2017
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