| Joint analysis of miRNA and mRNA expression data A Muniategui, J Pey, FJ Planes, A Rubio Briefings in bioinformatics 14 (3), 263-278, 2013 | 129 | 2013 |
| Quantification of miRNA-mRNA interactions A Muniategui, R Nogales-Cadenas, M Vázquez, X L. Aranguren, X Agirre, ... PloS one 7 (2), e30766, 2012 | 101 | 2012 |
| Improving miRNA-mRNA interaction predictions D Tabas-Madrid, A Muniategui, I Sánchez-Caballero, ... BMC genomics 15, 1-12, 2014 | 37 | 2014 |
| EventPointer: an effective identification of alternative splicing events using junction arrays JP Romero, A Muniategui, FJ De Miguel, A Aramburu, L Montuenga, ... BMC genomics 17, 1-18, 2016 | 35 | 2016 |
| Comparison of RNA-seq and microarray platforms for splice event detection using a cross-platform algorithm MWBTAR Juan P. Romero†, María Ortiz-Estévez†, Ander Muniategui, Soraya ... BMC Genomics 19 (703), 2018 | 31 | 2018 |
| Spot welding monitoring system based on fuzzy classification and deep learning A Muniategui, B Hériz, L Eciolaza, M Ayuso, A Iturrioz, I Quintana, ... 2017 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-6, 2017 | 18 | 2017 |
| Mass production quality control of welds based on image processing and deep learning in safety components industry A Muniategui, AG de la Yedra, JA del Barrio, M Masenlle, X Angulo, ... Fourteenth international conference on quality control by artificial vision …, 2019 | 8 | 2019 |
| Towards automatic crack detection by deep learning and active thermography R Moreno, E Gorostegui-Colinas, PL de Uralde, A Muniategui International Work-Conference on Artificial Neural Networks, 151-162, 2019 | 7 | 2019 |
| A novel automatic defect detection method for electron beam welded inconel 718 components using inductive thermography E Gorostegui-Colinas, A Muniategui, PL de Uralde, I Gorosmendi, B Hériz, ... 14th Quantitative InfraRed Thermography Conference 1 (2.1), 2.2, 2018 | 7 | 2018 |
| One dimensional fourier transform on deep learning for industrial welding quality control A Muniategui, JA del Barrio, X Angulo Vinuesa, M Masenlle, ... International Work-Conference on Artificial Neural Networks, 174-185, 2019 | 6 | 2019 |
| A new method for surface crack detection by laser thermography based on Thermal Barrier effect PL de Uralde, E Gorostegui-Colinas, A Muniategui, I Gorosmendi, B Hériz, ... | 4 | 2018 |
| Induction thermography-based inspection of EBW and TIG welded Inconel 718 components: steps towards industrialization E Gorostegui-Colinas, R Hidalgo-Gato, PL de Uralde, BU Marco, ... Thermosense: Thermal Infrared Applications XLII 11409, 98-117, 2020 | 2 | 2020 |
| Electrode degradation analysis in aluminium-based resistance spot welding process A Muniategui, L Eciolaza, M Ayuso, MJ Garmendia, P Álvarez 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 394-400, 2016 | 2 | 2016 |
| Deep Learning Based Algorithms for Welding Edge Points Detection A Muniategui, JA del Barrio, X Zurutuza, X Angulo, I Silanes, U Irastorza, ... International Conference on Intelligent Data Engineering and Automated …, 2020 | | 2020 |
| Improving microRNA target prediction by performance-based algorithm combination IS Caballero, A Muniategui, R Nogales-Cadenas, CO Sánchez-Sorzano, ... | | 2011 |
| Automated defect detection based on time and frequency domain analysis using Eddy Current Pulsed Thermography in EB and TIG welding inspections. R Hidalgo-Gato, E Gorostegui-Colinas, PL de Uralde, A Muniategui, ... | | |
| Towards Automatic Crack Detection by Deep Learning and Active Thermography E Gorostegui-Colinas, PL de Uralde, A Muniategui | | |
