JOSE
OTERO RODRIGUEZ
Profesor Titular de Universidad
LUCIANO
SANCHEZ RAMOS
Catedrático de Universidad
Publicaciones en las que colabora con LUCIANO SANCHEZ RAMOS (42)
2023
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Learning remaining useful life with incomplete health information: A case study on battery deterioration assessment
Array, Vol. 20
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Physics-informed learning under epistemic uncertainty with an application to system health modeling
International Journal of Approximate Reasoning, Vol. 161
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Weakly Supervised Learning of the Motion Resistance of a Locomotive Powered by Liquefied Natural Gas
Lecture Notes in Networks and Systems
2022
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Distal learning of the incremental capacity curve of a LiFePO4battery
Logic Journal of the IGPL, Vol. 30, Núm. 2, pp. 301-313
2020
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Health Monitoring of Automotive Batteries in Fast-Charging Conditions Through a Fuzzy Model of the Incremental Capacity
Studies in Computational Intelligence (Springer), pp. 155-164
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Health assessment of LFP automotive batteries using a fractional-order neural network
Neurocomputing, Vol. 391, pp. 345-354
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Online Estimation of the State of Health of a Rechargeable Battery Through Distal Learning of a Fuzzy Model
Advances in Intelligent Systems and Computing
2018
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Assessing the health of LiFePo4 traction batteries through monotonic echo state networks
Sensors (Switzerland), Vol. 18, Núm. 1
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Graphical Exploratory Analysis of Fuzzy Data as a Teaching Tool
Studies in Systems, Decision and Control (Springer International Publishing), pp. 565-574
2017
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A Model-Based Virtual Sensor for Condition Monitoring of Li-Ion Batteries in Cyber-Physical Vehicle Systems
Journal of Sensors, Vol. 2017
2016
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Battery diagnosis for electrical vehicles through semi-physical fuzzy models
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
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Finding informative code metrics under uncertainty for predicting the pass rate of online courses
Information Sciences, Vol. 373, pp. 42-56
2015
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Local iterative DLT soft-computing vs. interval-valued stereo calibration and triangulation with uncertainty bounding in 3D reconstruction
Neurocomputing, Vol. 167, pp. 44-51
2014
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A procedure for extending input selection algorithms to low quality data in modelling problems with application to the automatic grading of uploaded assignments
Scientific World Journal, Vol. 2014
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Bootstrap analysis of multiple repetitions of experiments using an interval-valued multiple comparison procedure
Journal of Computer and System Sciences
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Local iterative DLT for interval-valued stereo calibration and triangulation uncertainty bounding in 3D biological form reconstruction
Advances in Intelligent Systems and Computing
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Mutual information-based feature selection in fuzzy databases applied to searching for the best code metrics in automatic grading
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Selecting the most informative inputs in modelling problems with vague data applied to the search of informative code metrics for continuous assessment in computer science online courses
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Tarjetas didácticas digitales en cursos introductorios de programación: experiencia piloto y aplicación cliente servidor para seguimiento del aprendizaje
Actas de las XX Jornadas sobre la Enseñanza Universitaria de la Informática: JENUI 2014 : Oviedo, del 9 al 11 de julio de 2014
2013
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Soft methods for bounding the uncertainty of stereo calibration and triangulation
IEEE International Conference on Fuzzy Systems