Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Montes, Rosana"'
Autor:
Herrera-Poyato, David, Domínguez-Rull, Jacinto, Montes, Rosana, Hernánde, Inés, Barrio, Ignacio, Poblete-Echeverria, Carlos, Tardaguila, Javier, Herrera, Francisco, Herrera-Poyatos, Andrés
Early detection of diseases in crops is essential to prevent harvest losses and improve the quality of the final product. In this context, the combination of machine learning and proximity sensors is emerging as a technique capable of achieving this
Externí odkaz:
http://arxiv.org/abs/2409.17119
Autor:
Herrera-Poyatos, David, Herrera-Poyatos, Andrés, Montes, Rosana, de Palacios, Paloma, Esteban, Luis G., Iruela, Alberto García, Fernández, Francisco García, Herrera, Francisco
Significant advancements in the field of wood species identification are needed worldwide to support sustainable timber trade. In this work we contribute to automate the identification of wood species via high-resolution macroscopic images of timber.
Externí odkaz:
http://arxiv.org/abs/2406.11772
Social Media and Internet have the potential to be exploited as a source of opinion to enrich Decision Making solutions. Crowd Decision Making (CDM) is a methodology able to infer opinions and decisions from plain texts, such as reviews published in
Externí odkaz:
http://arxiv.org/abs/2403.15587
The application of the Universal Design for Learning framework favors the creation of virtual educational environments for all. It requires developing accessible content, having a usable platform, and the use of flexible didactics and evaluations tha
Externí odkaz:
http://arxiv.org/abs/2403.10484
Publikováno v:
Applied Soft Computing 67, 2018, Pages 941-952
Classic Delphi and Fuzzy Delphi methods are used to test content validity of a data collection tools such as questionnaires. Fuzzy Delphi takes the opinion issued by judges from a linguistic perspective reducing ambiguity in opinions by using fuzzy n
Externí odkaz:
http://arxiv.org/abs/2403.05550
Autor:
Montes, Rosana, Zuheros, Cristina, Morales, Jeovani M., Zermeño, Noe, Duran, Jerónimo, Herrera, Francsico
Publikováno v:
Open Access Volume 147 November 2023 Article number 110755
Classic Delphi and Fuzzy Delphi methods are used to test content validity of data collection tools such as questionnaires. Fuzzy Delphi takes the opinion issued by judges from a linguistic perspective reducing ambiguity in opinions by using fuzzy num
Externí odkaz:
http://arxiv.org/abs/2402.01775
Autor:
Durán, Jeronimo, Francisco Roldán López de Hierro, Antonio, Herrera, Francisco, Montes, Rosana
Publikováno v:
In Information Fusion August 2024 108
Autor:
Díaz-Rodríguez, Natalia, Lamas, Alberto, Sanchez, Jules, Franchi, Gianni, Donadello, Ivan, Tabik, Siham, Filliat, David, Cruz, Policarpo, Montes, Rosana, Herrera, Francisco
The latest Deep Learning (DL) models for detection and classification have achieved an unprecedented performance over classical machine learning algorithms. However, DL models are black-box methods hard to debug, interpret, and certify. DL alone cann
Externí odkaz:
http://arxiv.org/abs/2104.11914
Autor:
Montes, Rosana, Zuheros, Cristina, Morales, Jeovani, Zermeño, Noe, Duran, Jeronimo, Herrera, Francisco
Publikováno v:
In Applied Soft Computing November 2023 147
Autor:
Díaz-Rodríguez, Natalia, Lamas, Alberto, Sanchez, Jules, Franchi, Gianni, Donadello, Ivan, Tabik, Siham, Filliat, David, Cruz, Policarpo, Montes, Rosana, Herrera, Francisco
Publikováno v:
In Information Fusion March 2022 79:58-83