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Mostrando publicaciones 1-20 de 60
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A comprehensive review of extreme learning machine on medical imaging
; Mora, Marco
; ; ; ; (2023)
The feedforward neural network based on randomization has been of great interest in the scientific community, particularly extreme learning machines, due to its simplicity, training speed, and levels of accuracy comparable ...
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A method to construct fruit maturity color scales based on support machines for regression: Application to olives and grape seeds
Mora, Marco; ; ; ; Fredes, Claudio (2015)
Color scales are a powerful tool used in agriculture for estimate maturity of fruits. Fruit maturity is an important parameter to determine the harvest time. Typically, to obtain the maturity grade, a human expert visually ...
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A method to estimate grape phenolic maturity based on seed images
; Mora, Marco; Fredes, Claudio (2014)
The timing of the grape harvest has a strong impact on wine quality. A recent line of studies proposes visual seed inspection by a trained expert to determine Phenolic Maturity. In this paper a method is presented to ...
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A model based on clusters of similar color and NIR to estimate oil content of single olives
Fredes, Claudio; ; ; Mora, Marco ; ; ; (2021)
Lipid extraction using the traditional, destructive Soxhlet method is not able to measure oil content (OC) on a single olive. As the color and near infrared spectrum are key parameters to build an oil estimation model (EM), ...
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A multi-directional gradient with bi-geometric calculus to detect contours in images with multiplicative noise
; Mora, Marco; (2018)
In this paper a new operator is presented for the detection of contours in images with multiplicative noise, by using the operations introduced in the bi-geometric calculus, since recent results in the literature show that ...
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A new descriptor for person identity verification based on handwritten strokes off-line analysis
Mora, Marco; (2017)
A new descriptor for the verification of people’s identity through the analysis of handwritten text is presented. The proposed descriptor corresponds to a representation of the pattern of writing pressure computed from the ...
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A new fast training algorithm for autoencoder neural networks based on extreme learning machine
; Mora, Marco; ; ; ; (2022)
Autoencoders are neural networks that are characterized by having the same inputs and outputs. This kind of Neural Networks aim to estimate a nonlinear transformation whose parameters allow to represent the input patterns ...
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A non-Newtonian gradient for contour detection in images with multiplicative noise
Mora, Marco; Cordova-Lepe, Fernando ; (2012)
In this paper, a new operator for contour detection in images with multiplicative noise is presented. Traditional methods of edge detection, as those based in gradient operator or measures of variance, follow a logic and ...
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A parallel computing method for the computation of the Moore-Penrose generalized inverse for shared-memory architectures
; Barrientos, Ricardo; ; Mora, Marco (2023)
The computation of the Moore–Penrose generalized inverse is a commonly used operation in various fields such as the training of neural networks based on random weights. Therefore, a fast computation of this inverse is ...
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A review of convolutional neural network applied to fruit image processing
; Mora, Marco; ; Barrientos, Ricardo ; Fredes, Claudio ; (2020)
Agriculture has always been an important economic and social sector for humans. Fruit production is especially essential, with a great demand from all households. Therefore, the use of innovative technologies is of vital ...
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A Review of multilayer extreme learning machine neural networks
; Mora, Marco; (2023)
The Extreme Learning Machine is a single-hidden-layer feedforward learning algorithm, which has been successfully applied in regression and classification problems in different research fields. The traditional algorithm ...
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A review of neural networks for metagenomic binning
; Mora, Marco; Cuadros-Orellana, Sara ; ; (2025)
One of the main goals of metagenomic studies is to describe the taxonomic diversity of microbial communities. A crucial step in metagenomic analysis is metagenomic binning, which involves the (supervised) classification ...
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A review on large-scale data processing with parallel and distributed randomized extreme learning machine neural networks
; Mora, Marco; ; ; ; (2024)
The randomization-based feedforward neural network has raised great interest in the scientific community due to its simplicity, training speed, and accuracy comparable to traditional learning algorithms. The basic algorithm ...
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Accelerated biometric fingerprint search on a multi-GPU environment
Barrientos, Ricardo; ; Mora, Marco ; ; (2023)
One of the largest biometric databases in Chile is fingerprints, which is also the most widely used biometric in the national context. In this sense, it is relevant to have efficient algorithms in execution time on this ...
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An analysis of seed colour during ripening of cabernet sauvignon grapes
Fredes, Claudio; Mora, Marco ; Carrasco-Benavides, Marcos (2017)
This case study examines seed colour during ripening using an exhaustive colorimetric analysis. The aim was to associate the chemical ripening with the seed colour in order to estimate the ripening stages of Cabernet ...
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Aspectos éticos del uso de identificadores biométricos
; ; Mora, Marco; (2020)
La biometría ha tenido una rápida expansión como tecnología, siendo cada vez más accesible para el público general, prestando utilidad a los gobiernos y a la sociedad en el manejo de la seguridad ciudadana. Se aplica ya ...
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Assessment of an automated digital method to estimate leaf area index (LAI) in cherry trees
Carrasco-Benavides, Marcos; Mora, Marco ; ; ; von Bennewitz, Eduardo ; ; (2016)
study was carried out during two growing seasons to evaluate the performance of a digital photography method to estimate the leaf area index (LAID) of cherry tree cultivars. The trial comprised 10 ‘Bing’ and 10 ‘Sweetheart’ ...
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Automated computation of leaf area index from fruit trees using improved image processing algorithms applied to canopy cover digital photograpies
Mora, Marco; ; Carrasco-Benavides, Marcos ; ; ; (2016)
Leaf area index (LAI) is a critical parameter in plant physiology for models related to growth, photosynthetic activity and evapotranspiration. It is also important for farm management purposes, since it can be used to ...
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Automatic generation of synthetic palm vein images: a nature-based approach
; ; Barrientos, Ricardo; ; Mora, Marco ; (2021)
Biometric systems are essential in modern society because of the growing demand for security. Palm vein patterns have become an emerging biometric trait during the last decade. Despite that, the publicly available datasets ...
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Canopy architecture assessment of cherry trees by cover photography based on variable light extinction coefficient modelled using artificial neural networks
; ; Carrasco-Benavides, Marcos; Mora, Marco (2019)
Leaf area index (LAI) is one of the most important parameters in physiological and functional plant models to estimate tree canopy vigor and photosynthesis. However, LAI requires either destructive or indirect methods for ...