Basilio Sierra Araujo
Basilio Sierra Araujo
Full Professor at the Computer Sciences and Artificial Intelligen Department, University of the
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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
Feature subset selection by Bayesian network-based optimization
I Inza, P Larrañaga, R Etxeberria, B Sierra
Artificial intelligence 123 (1-2), 157-184, 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
Aprendizaje automático: conceptos básicos y avanzados: aspectos prácticos utilizando el software Weka
BS Araujo
Pearson Prentice Hall, 2006
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
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
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
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
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
Video activity recognition: State-of-the-art
I Rodríguez-Moreno, JM Martínez-Otzeta, B Sierra, I Rodriguez, E Jauregi
Sensors 19 (14), 3160, 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
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
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
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
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
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
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
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
On the use of Bayesian Networks to develop behaviours for mobile robots
E Lazkano, B Sierra, A Astigarraga, JM Martinez-Otzeta
Robotics and Autonomous Systems 55 (3), 253-265, 2007
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
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