JOSE RAMON
VILLAR FLECHA
Catedrático de Universidad


Universidad de Burgos
Burgos, EspañaPublications in collaboration with researchers from Universidad de Burgos (33)
2023
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Preface
Lecture Notes in Networks and Systems
2022
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020
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DTW as Alignment Function in the Context of Time Series Balancing
Advances in Intelligent Systems and Computing
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Design issues in Time Series dataset balancing algorithms
Neural Computing and Applications, Vol. 32, Núm. 5, pp. 1287-1304
2019
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Preliminary Study on the Detection of Apnea Episodes Through the Use of Dictionaries
Journal of Multiple-Valued Logic and Soft Computing, Vol. 32, Núm. 3-4, pp. 257-276
2018
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A SMOTE extension for balancing multivariate epilepsy-related time series datasets
Advances in Intelligent Systems and Computing
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017
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Characterization of android malware families by a reduced set of static features
Advances in Intelligent Systems and Computing
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Key features for the characterization of Android malware families
Logic Journal of the IGPL, Vol. 25, Núm. 1, pp. 54-66
2015
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A preliminary cooperative genetic fuzzy proposal for epilepsy identification using wearable devices
Advances in Intelligent Systems and Computing
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Features and models for human activity recognition
Neurocomputing, Vol. 167, pp. 52-60
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Heuristics for apnea episodes recognition
Advances in Intelligent Systems and Computing
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On the selection of key features for android Malware characterization
Advances in Intelligent Systems and Computing
2012
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Learning and training techniques in fuzzy control for energy efficiency in buildings
Logic Journal of the IGPL, Vol. 20, Núm. 4, pp. 757-769
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Merge method for shape-based clustering in time series microarray analysis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Optimizing the operating conditions in a high precision industrial process using soft computing techniques
Expert Systems, Vol. 29, Núm. 3, pp. 276-299
2011
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Intelligent operating conditions design by means of bio-inspired models
Proceedings of the 2011 3rd World Congress on Nature and Biologically Inspired Computing, NaBIC 2011
2010
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A soft computing method for detecting lifetime building thermal insulation failures
Integrated Computer-Aided Engineering, Vol. 17, Núm. 2, pp. 103-115
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A soft computing system for modelling the manufacture of steel components
Soft Computing Methods for Practical Environment Solutions: Techniques and Studies (IGI Global), pp. 127-142
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Detection of heat flux failures in building using a soft computing diagnostic system
Neural Network World, Vol. 20, Núm. 7, pp. 883-898