DELIA
LORENTE GARRIDO
INVEST DOCT UV JUNIOR
Publications (22) DELIA LORENTE GARRIDO publications
2018
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Modeling the mechanical behavior of the breast tissues under compression in real time
Lecture Notes in Computational Vision and Biomechanics, Vol. 27, pp. 583-592
2017
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A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time
Computers in Biology and Medicine, Vol. 90, pp. 116-124
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A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning
Expert Systems with Applications, Vol. 71, pp. 342-357
2016
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Detection of fungal infections on citrus fruit using VIS/NIR reflectance spectroscopy and machine learning methods
VIII CONGRESO IBERICO DE AGROINGENIERIA LIBRO DE ACTAS: RETOS DE LA NUEVA AGRICULTURA MEDITERRANEA
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Machine Learning for Modeling the Biomechanical Behavior of Human Soft Tissue
IEEE International Conference on Data Mining Workshops, ICDMW
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Machine Learning for modeling the biomechanical behavior of human soft tissue
2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW)
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Online fitted policy iteration based on extreme learning machines
Knowledge-Based Systems, Vol. 100, pp. 200-211
2015
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Laser-light backscattering imaging for early decay detection in citrus fruit using both a statistical and a physical model
Journal of Food Engineering, Vol. 154, pp. 76-85
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Visible-NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit
Journal of Food Engineering, Vol. 163, pp. 17-24
2014
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Detection of decay in citrus fruit by means of backscattering image analysis
VII CONGRESO IBERICO DE AGROINGENIERIA Y CIENCIAS HORTICOLAS
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Detection of imperceptible damages in climacteric fruits by means of hyperspectral images
VII CONGRESO IBERICO DE AGROINGENIERIA Y CIENCIAS HORTICOLAS
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Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay
Food and Bioprocess Technology, Vol. 7, Núm. 4, pp. 1047-1056
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Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning
Biosystems Engineering, Vol. 122, pp. 91-98
2013
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Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images
Food and Bioprocess Technology, Vol. 6, Núm. 12, pp. 3613-3619
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Early decay detection in citrus fruit using laser-light backscattering imaging
Postharvest Biology and Technology, Vol. 86, pp. 424-430
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Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers
Postharvest Biology and Technology, Vol. 82, pp. 76-86
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In-line sorting of processed fruit using computer vision: Application to the inspection of Satsuma segments and pomegranate arils
Image Processing: Concepts, Methodologies, Tools, and Applications (IGI Global), pp. 874-895
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Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks
Food and Bioprocess Technology, Vol. 6, Núm. 2, pp. 530-541
2012
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Decay detection in citrus fruits using hyperspectral computer vision
Intelligent Data Analysis for Real-Life Applications: Theory and Practice (IGI Global), pp. 104-123
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Fruit, vegetable and nut quality evaluation and control using computer vision
Computer Vision Technology in the Food and Beverage Industries (Elsevier Inc.), pp. 379-399