Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Jónathan Heras"'
Autor:
Arantza del-Canto, Alvaro Sanz-Saez, Katy D. Heath, Michael A. Grillo, Jónathan Heras, Maite Lacuesta
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionDrought is one of the biggest problems for crop production and also affects the survival and persistence of soil rhizobia, which limits the establishment of efficient symbiosis and endangers the productivity of legumes, the main source of
Externí odkaz:
https://doaj.org/article/6145be898c5343ecac548003bfdc59da
Autor:
César Domínguez, Jónathan Heras, Eloy Mata, Vico Pascual, Lucas Fernández-Cedrón, Marcos Martínez-Lanchares, Jon Pellejero-Espinosa, Antonio Rubio-Loscertales, Carlos Tarragona-Pérez
Publikováno v:
Journal of Universal Computer Science, Vol 29, Iss 5, Pp 419-431 (2023)
In waste recycling plants, measuring the waste volume and weight at the beginning of the treatment process is key for a better management of resources. This task can be conducted by using orthophoto images, but it is necessary to remove from those im
Externí odkaz:
https://doaj.org/article/44b187d4b7e247da9dc48eb3f45871c7
Autor:
Grazia Cicirelli, Roberto Marani, Laura Romeo, Manuel García Domínguez, Jónathan Heras, Anna G. Perri, Tiziana D’Orazio
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-12 (2022)
Measurement(s) human actions in manufacturing context Technology Type(s) Microsoft Azure Kinect Camera
Externí odkaz:
https://doaj.org/article/63bacc4da11043aea0d760e273de70ce
Autor:
Cristina Romera-Castillo, Jónathan Heras, Marta Álvarez, X. Antón Álvarez-Salgado, Gadea Mata, Eduardo Sáenz-de-Cabezón
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
The distribution of any non-conservative variable in the deep open ocean results from the circulation and mixing of water masses (WMs) of contrasting origin and from the initial preformed composition, modified during ongoing simultaneous biological a
Externí odkaz:
https://doaj.org/article/88722d0e9e5d462aa030fba16d927065
Autor:
Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yu-Dong Zhang, Juan Manuel Gorriz
Publikováno v:
Frontiers in Neuroinformatics, Vol 15 (2021)
Schizophrenia (SZ) is a mental disorder whereby due to the secretion of specific chemicals in the brain, the function of some brain regions is out of balance, leading to the lack of coordination between thoughts, actions, and emotions. This study pro
Externí odkaz:
https://doaj.org/article/1600f8bfca8542d1a2ffc6f46ab008c8
Autor:
Ángela Casado-García, César Domínguez, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Eloy Mata, Vico Pascual
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-14 (2019)
Abstract Background Deep learning techniques have been successfully applied to bioimaging problems; however, these methods are highly data demanding. An approach to deal with the lack of data and avoid overfitting is the application of data augmentat
Externí odkaz:
https://doaj.org/article/6d20978a08e24b708bfacfad33e8202b
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-4 (2018)
Abstract Background Fungi have diverse biotechnological applications in, among others, agriculture, bioenergy generation, or remediation of polluted soil and water. In this context, culture media based on color change in response to degradation of dy
Externí odkaz:
https://doaj.org/article/5c54cba256c24b138249af2ab0585ad1
Publikováno v:
Journal of Imaging, Vol 7, Iss 9, p 173 (2021)
Simplicial-map neural networks are a recent neural network architecture induced by simplicial maps defined between simplicial complexes. It has been proved that simplicial-map neural networks are universal approximators and that they can be refined t
Externí odkaz:
https://doaj.org/article/6f749f66c6744304adb822d630d59da9
Publikováno v:
Mathematics, Vol 9, Iss 2, p 169 (2021)
Broadly speaking, an adversarial example against a classification model occurs when a small perturbation on an input data point produces a change on the output label assigned by the model. Such adversarial examples represent a weakness for the safety
Externí odkaz:
https://doaj.org/article/092c9012175e4e78938be4e47fa18261
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 152, Iss Proc. ACL2 2014, Pp 61-75 (2014)
ACL2(ml) is an extension for the Emacs interface of ACL2. This tool uses machine-learning to help the ACL2 user during the proof-development. Namely, ACL2(ml) gives hints to the user in the form of families of similar theorems, and generates auxiliar
Externí odkaz:
https://doaj.org/article/5e2b91960fee4bf1a179768c47eb61b8