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 | 111* | 2006 |
3D Tdoa problem solution with four receiving nodes J Díez-González, R Álvarez, L Sánchez-González, L Fernández-Robles, ... Sensors 19 (13), 2892, 2019 | 57 | 2019 |
Accuracy analysis in sensor networks for asynchronous positioning methods R Álvarez, J Díez-González, E Alonso, L Fernández-Robles, ... Sensors 19 (13), 3024, 2019 | 49 | 2019 |
Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The PAELLA Algorithm MC Limas, JB Ordieres Meré, FJM de Pisón Ascacibar, EPV González Data Mining and Knowledge Discovery 9, 171-187, 2004 | 48 | 2004 |
Genetic algorithm approach to the 3D node localization in TDOA systems J Díez-González, R Álvarez, D González-Bárcena, L Sánchez-González, ... Sensors 19 (18), 3880, 2019 | 47 | 2019 |
Use of image processing to monitor tool wear in micro milling L Fernández-Robles, L Sánchez-González, J Díez-González, ... Neurocomputing 452, 333-340, 2021 | 44 | 2021 |
A fault detection system for a geothermal heat exchanger sensor based on intelligent techniques H Aláiz-Moretón, M Castejón-Limas, JL Casteleiro-Roca, E Jove, ... Sensors 19 (12), 2740, 2019 | 40 | 2019 |
Steel annealing furnace robust neural network model A Pernía-Espinoza, M Castejón-Limas, A González-Marcos, ... Ironmaking & Steelmaking 32 (5), 418-426, 2005 | 33 | 2005 |
Effort estimates through project complexity M Castejón-Limas, J Ordieres-Meré, A González-Marcos, ... Annals of Operations research 186, 395-406, 2011 | 32 | 2011 |
Correspondence analysis and 2-way clustering A Ciampi, A González Marcos, M Castejón Limas SORT. 2005, Vol. 29, Núm. 1 [January-June], 2005 | 31 | 2005 |
A MORE flexible neural network package MC Limas, JBO Meré, AG Marcos, FJM de Pisón Ascacibar, ... | 28 | 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 | 26 | 2015 |
Strong classification system for wear identification on milling processes using computer vision and ensemble learning V Riego, M Castejon-Limas, L Sanchez-Gonzalez, L Fernandez-Robles, ... Neurocomputing 456, 678-684, 2021 | 25 | 2021 |
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 | 24 | 2011 |
A Learning Analytics tool for the analysis of students’ Telegram messages in the context of teamwork virtual activities MÁ Conde, FJ Rodríguez-Sedano, C Fernández, A Gutiérrez-Fernández, ... Eighth International Conference on Technological Ecosystems for Enhancing …, 2020 | 21 | 2020 |
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, 199-220, 2008 | 21 | 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 | 20 | 2006 |
Lambs’ live weight estimation using 3D images E Samperio, I Lidón, R Rebollar, M Castejón-Limas, C Álvarez-Aparicio Animal 15 (5), 100212, 2021 | 18 | 2021 |
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 | 16 | 2017 |
Constructionist learning tool for acquiring skills in understanding standardised engineering drawings of mechanical assemblies in mobile devices FJ Fraile-Fernández, R Martínez-García, M Castejón-Limas Sustainability 13 (6), 3305, 2021 | 15 | 2021 |