LAURA
FERNÁNDEZ ROBLES
Profesor Titular de Universidad
HILDE
PÉREZ GARCÍA
Catedrático de Universidad
Publicacións nas que colabora con HILDE PÉREZ GARCÍA (15)
2021
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Strong classification system for wear identification on milling processes using computer vision and ensemble learning
Neurocomputing, Vol. 456, pp. 678-684
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Use of image processing to monitor tool wear in micro milling
Neurocomputing, Vol. 452, pp. 333-340
2020
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Non-removal strategy for outliers in predictive models: The PAELLA algorithm case
Logic Journal of the IGPL, Vol. 28, Núm. 4, pp. 418-429
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Robust weighted regression via PAELLA sample weights
Neurocomputing, Vol. 391, pp. 325-333
2019
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3D Tdoa problem solution with four receiving nodes
Sensors (Switzerland), Vol. 19, Núm. 13
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Accuracy analysis in sensor networks for asynchronous positioning methods
Sensors (Switzerland), Vol. 19, Núm. 13
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Ground-level ozone predictions using outlier identification leveraged sample weighted regressors
Journal of Experimental and Theoretical Artificial Intelligence, Vol. 31, Núm. 6, pp. 829-840
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Texture Descriptors for Automatic Estimation of Workpiece Quality in Milling
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Texture Descriptors for Automatic Estimation of Workpiece Quality in Milling
Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings
2018
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Coupling the PAELLA algorithm to predictive models
Advances in Intelligent Systems and Computing
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Data mining techniques for the estimation of variables in health-related noisy data
Advances in Intelligent Systems and Computing
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Design and implementation of a stereo vision system on an innovative 6DOF single-edge machining device for tool tip localization and path correction
Sensors (Switzerland), Vol. 18, Núm. 9
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PAELLA as a booster in weighted regression
Advances in Intelligent Systems and Computing
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Tool wear estimation and visualization using image sensors in micro milling manufacturing
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Use of classifiers and recursive feature elimination to assess boar sperm viability
Logic Journal of the IGPL, Vol. 26, Núm. 6, pp. 629–637