The Gaia mission T Prusti, JHJ de Bruijne, A Vallenari, C Babusiaux, CAL Bailer-Jones, ... Astronomy & Astrophysics 595, A1, 2016 | 3060 | 2016 |
Gaia Data Release 1-Summary of the astrometric, photometric, and survey properties AGA Brown, A Vallenari, T Prusti, JHJ De Bruijne, F Mignard, R Drimmel, ... Astronomy & Astrophysics 595, A2, 2016 | 1392 | 2016 |
Gaia Data Release 1-Open cluster astrometry: performance, limitations, and future prospects F Van Leeuwen, A Vallenari, C Jordi, L Lindegren, U Bastian, T Prusti, ... Astronomy & Astrophysics 601, A19, 2017 | 110 | 2017 |
Gaia Data Release 1-Testing parallaxes with local Cepheids and RR Lyrae stars G Clementini, L Eyer, V Ripepi, M Marconi, T Muraveva, A Garofalo, ... Astronomy & astrophysics 605, A79, 2017 | 88 | 2017 |
Técnicas y Algoritmos Básicos de Visión Artificial AG Marcos, FJM de Pisón Ascacíbar, FA Elías, MC Limas, JBO Meré, ... Universidad de La Rioja, 2006 | 84* | 2006 |
TAO-robust backpropagation learning algorithm AV Pernía-Espinoza, JB Ordieres-Meré, FJ Martínez-de-Pisón, ... Neural Networks 18 (2), 191-204, 2005 | 67 | 2005 |
Student evaluation of a virtual experience for project management learning: An empirical study for learning improvement A González-Marcos, F Alba-Elías, F Navaridas-Nalda, J Ordieres-Meré Computers & Education 102, 172-187, 2016 | 59 | 2016 |
Estimation of mechanical properties of steel strip in hot dip galvanising lines JB Ordieres Meré, A González Marcos, JA González, V Lobato Rubio Ironmaking & steelmaking 31 (1), 43-50, 2004 | 54 | 2004 |
An analytical method for measuring competence in project management A González‐Marcos, F Alba‐Elías, J Ordieres‐Meré British Journal of Educational Technology 47 (6), 1324-1339, 2016 | 40 | 2016 |
A neural network-based approach for optimising rubber extrusion lines AG Marcos, AV Pernía Espinoza, FA Elías, AG Forcada International Journal of Computer Integrated Manufacturing 20 (8), 828-837, 2007 | 37 | 2007 |
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 |
Bioremediation of Waste Water to Remove Heavy Metals Using the Spent Mushroom Substrate of Agaricus bisporus M Corral-Bobadilla, A González-Marcos, EP Vergara-González, ... Water 11 (3), 454, 2019 | 32 | 2019 |
Effort estimates through project complexity M Castejón-Limas, J Ordieres-Meré, A González-Marcos, ... Annals of Operations Research 186 (1), 395-406, 2011 | 30 | 2011 |
Correspondence analysis and 2-way clustering A Ciampi, A González Marcos, M Castejón Limas SORT. 2005, Vol. 29, Núm. 1 [January-June], 2005 | 30 | 2005 |
Improved variability classification of CoRoT targets with Giraffe spectra LM Sarro, J Debosscher, C Neiner, A Bello-García, A González-Marcos, ... Astronomy & Astrophysics 550, A120, 2013 | 29 | 2013 |
Redes inalámbricas de sensores: teoría y aplicación práctica RF Martínez, JBO Meré, FJM de Pisón Ascacíbar, AG Marcos, FA Elías, ... Universidad de La Rioja, 2009 | 28 | 2009 |
Tribological behavior of plasma-polymerized aminopropyltriethoxysilane films deposited on thermoplastic elastomers substrates F Alba-Elías, E Sainz-García, A González-Marcos, J Ordieres-Meré Thin Solid Films 540, 125-134, 2013 | 25 | 2013 |
Comparison of models created for the prediction of the mechanical properties of galvanized steel coils J Ordieres-Meré, FJ Martínez-de-Pisón-Ascacibar, A González-Marcos, ... Journal of Intelligent Manufacturing 21 (4), 403-421, 2010 | 24 | 2010 |
AMORE: A MORE flexible neural network package MC Limas, JBO Mere, AG Marcos, FJ de Pison Ascacibar, FA Elias, ... | 22* | 2014 |
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 | 21 | 2011 |