Publicaciones (22) Publicaciones de DELIA LORENTE GARRIDO

2018

  1. 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

  1. 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

  2. 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

  1. 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

  2. Machine Learning for Modeling the Biomechanical Behavior of Human Soft Tissue

    IEEE International Conference on Data Mining Workshops, ICDMW

  3. Machine Learning for modeling the biomechanical behavior of human soft tissue

    2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW)

  4. Online fitted policy iteration based on extreme learning machines

    Knowledge-Based Systems, Vol. 100, pp. 200-211

2015

  1. 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

  2. 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

  1. Detection of decay in citrus fruit by means of backscattering image analysis

    VII CONGRESO IBERICO DE AGROINGENIERIA Y CIENCIAS HORTICOLAS

  2. Detection of imperceptible damages in climacteric fruits by means of hyperspectral images

    VII CONGRESO IBERICO DE AGROINGENIERIA Y CIENCIAS HORTICOLAS

  3. 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

  4. Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning

    Biosystems Engineering, Vol. 122, pp. 91-98

2013

  1. 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

  2. Early decay detection in citrus fruit using laser-light backscattering imaging

    Postharvest Biology and Technology, Vol. 86, pp. 424-430

  3. 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

  4. 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

  5. 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

  1. Decay detection in citrus fruits using hyperspectral computer vision

    Intelligent Data Analysis for Real-Life Applications: Theory and Practice (IGI Global), pp. 104-123

  2. 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