| Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0 A Diez-Olivan, J Del Ser, D Galar, B Sierra Information Fusion 50, 92-111, 2019 | 708 | 2019 |
| Feature subset selection by Bayesian network-based optimization I Inza, P Larrañaga, R Etxeberria, B Sierra Artificial intelligence 123 (1-2), 157-184, 2000 | 374 | 2000 |
| Human–robot collaboration in industrial applications: Safety, interaction and trust I Maurtua, A Ibarguren, J Kildal, L Susperregi, B Sierra International Journal of Advanced Robotic Systems 14 (4), 1729881417716010, 2017 | 270 | 2017 |
| Gene selection by sequential search wrapper approaches in microarray cancer class prediction I Inza, B Sierra, R Blanco, P Larrañaga Journal of Intelligent & Fuzzy Systems 12 (1), 25-33, 2002 | 133 | 2002 |
| Learning Bayesian networks in the space of structures by estimation of distribution algorithms R Blanco, I Inza, P Larranaga International journal of intelligent systems 18 (2), 205-220, 2003 | 113 | 2003 |
| Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches B Sierra, P Larranaga Artificial intelligence in Medicine 14 (1-2), 215-230, 1998 | 113 | 1998 |
| Gene selection for cancer classification using wrapper approaches R Blanco, P Larrañaga, I Inza, B Sierra International Journal of Pattern Recognition and Artificial Intelligence 18 …, 2004 | 109 | 2004 |
| Aprendizaje automático: conceptos básicos y avanzados: aspectos prácticos utilizando el software Weka BS Araujo Pearson Prentice Hall, 2006 | 105 | 2006 |
| Video activity recognition: State-of-the-art I Rodríguez-Moreno, JM Martínez-Otzeta, B Sierra, I Rodriguez, E Jauregi Sensors 19 (14), 3160, 2019 | 94 | 2019 |
| Application of Bayesian networks in prognostics for a new Integrated Vehicle Health Management concept S Ferreiro, A Arnaiz, B Sierra, I Irigoien Expert Systems with Applications 39 (7), 6402-6418, 2012 | 94 | 2012 |
| Predictive maintenance on the machining process and machine tool A Jimenez-Cortadi, I Irigoien, F Boto, B Sierra, G Rodriguez Applied Sciences 10 (1), 224, 2019 | 85 | 2019 |
| Feature subset selection by bayesian networks: a comparison with genetic and sequential algorithms I Inza, P Larranaga, B Sierra International Journal of Approximate Reasoning 27 (2), 143-164, 2001 | 85 | 2001 |
| Online student authentication and proctoring system based on multimodal biometrics technology M Labayen, R Vea, J Flórez, N Aginako, B Sierra IEEE Access 9, 72398-72411, 2021 | 84 | 2021 |
| Feature subset selection by genetic algorithms and estimation of distribution algorithms: A case study in the survival of cirrhotic patients treated with TIPS I Inza, M Merino, P Larrañaga, J Quiroga, B Sierra, M Girala Artificial Intelligence in Medicine 23 (2), 187-205, 2001 | 82 | 2001 |
| Natural multimodal communication for human–robot collaboration I Maurtua, I Fernandez, A Tellaeche, J Kildal, L Susperregi, A Ibarguren, ... International Journal of Advanced Robotic Systems 14 (4), 1729881417716043, 2017 | 80 | 2017 |
| Magnetization reversal and exchange bias effects in hard/soft ferromagnetic bilayers with orthogonal anisotropies D Navas, J Torrejon, F Béron, C Redondo, F Batallan, BP Toperverg, ... New Journal of Physics 14 (11), 113001, 2012 | 78 | 2012 |
| Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data B Sierra, N Serrano, P Larrañaga, EJ Plasencia, I Inza, JJ Jiménez, ... Artificial Intelligence in Medicine 22 (3), 233-248, 2001 | 77 | 2001 |
| Learning Bayesian networks by genetic algorithms: a case study in the prediction of survival in malignant skin melanoma P Larranaga, B Sierra, MJ Gallego, MJ Michelena, JM Picaza Artificial Intelligence in Medicine: 6th Conference on Artificial …, 1997 | 75 | 1997 |
| Data mining for quality control: Burr detection in the drilling process S Ferreiro, B Sierra, I Irigoien, E Gorritxategi Computers & Industrial Engineering 60 (4), 801-810, 2011 | 70 | 2011 |
| Data-driven prognostics using a combination of constrained K-means clustering, fuzzy modeling and LOF-based score A Diez-Olivan, JA Pagan, R Sanz, B Sierra Neurocomputing 241, 97-107, 2017 | 67 | 2017 |
