Juan Ignacio Arribas
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Explore the profile of Juan Ignacio Arribas including associated specialties, affiliations and a list of published articles.
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Articles
9
Citations
47
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Recent Articles
1.
Imanian K, Pourdarbani R, Sabzi S, Garcia-Mateos G, Arribas J, Molina-Martinez J
Foods
. 2021 May;
10(5).
PMID: 33946235
Potatoes are one of the most demanded products due to their richness in nutrients. However, the lack of attention to external and, especially, internal defects greatly reduces its marketability and...
2.
Lopez-Martin M, Sanchez-Esguevillas A, Hernandez-Callejo L, Arribas J, Carro B
Sensors (Basel)
. 2021 Apr;
21(9).
PMID: 33922814
This work proposes a quantile regression neural network based on a novel constrained weighted quantile loss (CWQLoss) and its application to probabilistic short and medium-term electric-load forecasting of special interest...
3.
Sabzi S, Abbaspour-Gilandeh Y, Arribas J
Heliyon
. 2020 Jun;
6(5):e03685.
PMID: 32490222
Weeds might be defined as destructive plants that grow and compete with agricultural crops in order to achieve water and nutrients. Uniform spray of herbicides is nowadays a common cause...
4.
Dadashzadeh M, Abbaspour-Gilandeh Y, Mesri-Gundoshmian T, Sabzi S, Hernandez-Hernandez J, Hernandez-Hernandez M, et al.
Plants (Basel)
. 2020 May;
9(5).
PMID: 32349459
Site-specific weed management and selective application of herbicides as eco-friendly techniques are still challenging tasks to perform, especially for densely cultivated crops, such as rice. This study is aimed at...
5.
Pourdarbani R, Sabzi S, Kalantari D, Hernandez-Hernandez J, Arribas J
Foods
. 2020 Jan;
9(2).
PMID: 31972986
Since different varieties of crops have specific applications, it is therefore important to properly identify each cultivar, in order to avoid fake varieties being sold as genuine, i.e., fraud. Despite...
6.
Santos-Mayo L, San-Jose-Revuelta L, Arribas J
IEEE Trans Biomed Eng
. 2017 Jan;
64(2):395-407.
PMID: 28113193
Objective: To design a Computer-aided diagnosis (CAD) system using an optimized methodology over the P3b wave in order to objectively and accurately discriminate between healthy controls (HC) and schizophrenic subjects...
7.
Tristan-Vega A, Arribas J
IEEE Trans Biomed Eng
. 2008 Apr;
55(5):1463-76.
PMID: 18440892
An end-to-end system to automate the well-known Tanner--Whitehouse (TW3) clinical procedure to estimate the skeletal age in childhood is proposed. The system comprises the detailed analysis of the two most...
8.
Casaseca-de-la-Higuera P, Arribas J, Munoz-Moreno E, Alberola-Lopez C
Conf Proc IEEE Eng Med Biol Soc
. 2007 Feb;
2006:49-54.
PMID: 17282108
Automatic detection of microcalcifications in mammograms constitutes a helpful tool in breast cancer diagnosis. Radiologist's confidence level on microcalcification detection would be improved if a probability estimate of its presence...
9.
Arribas J, Cid-Sueiro J
IEEE Trans Neural Netw
. 2005 Aug;
16(4):799-809.
PMID: 16121722
This paper proposes a novel algorithm to jointly determine the structure and the parameters of a posteriori probability model based on neural networks (NNs). It makes use of well-known ideas...