Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Roi Naveiro"'
Autor:
María Jimena Martínez, Roi Naveiro, Axel J. Soto, Pablo Talavante, Shin-Ho Kim Lee, Ramón Gómez Arrayas, Mario Franco, Pablo Mauleón, Héctor Lozano Ordóñez, Guillermo Revilla López, Marco Bernabei, Nuria E. Campillo, Ignacio Ponzoni
Publikováno v:
Polymers, Vol 15, Iss 5, p 1324 (2023)
Artificial intelligence (AI) is an emerging technology that is revolutionizing the discovery of new materials. One key application of AI is virtual screening of chemical libraries, which enables the accelerated discovery of materials with desired pro
Externí odkaz:
https://doaj.org/article/f437d7b0a41c4524bff817acb649ed59
Publikováno v:
Mathematics, Vol 8, Iss 11, p 1957 (2020)
Adversarial classification (AC) is a major subfield within the increasingly important domain of adversarial machine learning (AML). So far, most approaches to AC have followed a classical game-theoretic framework. This requires unrealistic common kno
Externí odkaz:
https://doaj.org/article/635e2b35d0c54a308e31c02398351040
Publikováno v:
Journal of the American Statistical Association. :1-12
Publikováno v:
Applied Stochastic Models in Business and Industry.
Publikováno v:
Proceedings of the International Defense and Homeland Security Simulation Workshop.
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Molecular Diversity
Digital.CSIC: Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
instname
Molecular Diversity
Digital.CSIC: Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
19 p.-5 fig.-1 graph. abst.
The introduction of a new drug to the commercial market follows a complex and long process that typically spans over several years and entails large monetary costs due to a high attrition rate. Because of this, there
The introduction of a new drug to the commercial market follows a complex and long process that typically spans over several years and entails large monetary costs due to a high attrition rate. Because of this, there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcb81a45197e573151531a70d1b1cb43
http://hdl.handle.net/10261/245893
http://hdl.handle.net/10261/245893
Autor:
Konstantinos Risvas, David Ríos Insua, Alessandro Barisone, Mikolaj Kruszewski, Roi Naveiro, Samantha Jamson, Aleksandra Rodak, Konstantinos Moustakas
Publikováno v:
Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications (CHIRA 2021)
Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications
CHIRA
Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications
CHIRA
The acceptance of Automated Driving Systems is of key importance since it will determine whether they will actually be used. This presentation describes contributions in this broad area from the perspective of the Trustonomy project with a focus on e
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
E-Prints Complutense. Archivo Institucional de la UCM
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
Mathematics
Volume 8
Issue 11
Mathematics, Vol 8, Iss 1957, p 1957 (2020)
instname
E-Prints Complutense. Archivo Institucional de la UCM
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
Mathematics
Volume 8
Issue 11
Mathematics, Vol 8, Iss 1957, p 1957 (2020)
Adversarial classification (AC) is a major subfield within the increasingly important domain of adversarial machine learning (AML). So far, most approaches to AC have followed a classical game-theoretic framework. This requires unrealistic common kno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d89c1a05c203bc8276d842b93d536b28
https://eprints.ucm.es/id/eprint/63167/
https://eprints.ucm.es/id/eprint/63167/
Publikováno v:
E-Prints Complutense. Archivo Institucional de la UCM
instname
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
Digital.CSIC. Repositorio Institucional del CSIC
WIREs Computational Statistics
instname
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
Digital.CSIC. Repositorio Institucional del CSIC
WIREs Computational Statistics
Adversarial risk analysis (ARA) is a relatively new area of research that informs decision¿making when facing intelligent opponents and uncertain outcomes. It is a decision¿theoretic alternative to game theory. ARA enables an analyst to express her