Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Cabana, Elisa"'
Autor:
Cabana, Elisa
A primary challenge for the deaf and hearing-impaired community stems from the communication gap with the hearing society, which can greatly impact their daily lives and result in social exclusion. To foster inclusivity in society, our endeavor focus
Externí odkaz:
http://arxiv.org/abs/2404.07211
We present a novel technique for modulating the appearance frequency of a few tokens within a dataset for encoding an invisible watermark that can be used to protect ownership rights upon data. We develop optimal as well as fast heuristic algorithms
Externí odkaz:
http://arxiv.org/abs/2312.16547
Autor:
Álvarez, Javier, Baquero, Carlos, Cabana, Elisa, Champati, Jaya Prakash, Anta, Antonio Fernández, Frey, Davide, García-Agúndez, Augusto, Georgiou, Chryssis, Goessens, Mathieu, Hernández, Harold, Lillo, Rosa, Menezes, Raquel, Moreno, Raúl, Nicolaou, Nicolas, Ojo, Oluwasegun, Ortega, Antonio, Rufino, Jesús, Stavrakis, Efstathios, Jeevan, Govind, Glorioso, Christin
Having accurate and timely data on confirmed active COVID-19 cases is challenging, since it depends on testing capacity and the availability of an appropriate infrastructure to perform tests and aggregate their results. In this paper, we propose meth
Externí odkaz:
http://arxiv.org/abs/2108.03284
Autor:
Ojo, Oluwasegun, García-Agundez, Augusto, Girault, Benjamin, Hernández, Harold, Cabana, Elisa, García-García, Amanda, Arabshahi, Payman, Baquero, Carlos, Casari, Paolo, Ferreira, Ednaldo José, Frey, Davide, Georgiou, Chryssis, Goessens, Mathieu, Ishchenko, Anna, Jiménez, Ernesto, Kebkal, Oleksiy, Lillo, Rosa, Menezes, Raquel, Nicolaou, Nicolas, Ortega, Antonio, Patras, Paul, Roberts, Julian C, Stavrakis, Efstathios, Tanaka, Yuichi, Anta, Antonio Fernández
The world is suffering from a pandemic called COVID-19, caused by the SARS-CoV-2 virus. National governments have problems evaluating the reach of the epidemic, due to having limited resources and tests at their disposal. This problem is especially a
Externí odkaz:
http://arxiv.org/abs/2005.12783
A robust estimator is proposed for the parameters that characterize the linear regression problem. It is based on the notion of shrinkages, often used in Finance and previously studied for outlier detection in multivariate data. A thorough simulation
Externí odkaz:
http://arxiv.org/abs/1905.02962
Publikováno v:
Stat Papers (2019)
A collection of robust Mahalanobis distances for multivariate outlier detection is proposed, based on the notion of shrinkage. Robust intensity and scaling factors are optimally estimated to define the shrinkage. Some properties are investigated, suc
Externí odkaz:
http://arxiv.org/abs/1904.02596
Autor:
Cabana, Elisa, Lillo, Rosa E.
Publikováno v:
In Chemometrics and Intelligent Laboratory Systems 15 February 2022 221
Autor:
Cabana, Elisa1 (AUTHOR) ecab.estadistica@gmail.com, Lillo, Rosa E.2 (AUTHOR), Laniado, Henry3 (AUTHOR)
Publikováno v:
Statistical Papers. Aug2021, Vol. 62 Issue 4, p1583-1609. 27p.
Publikováno v:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology.
In this paper we propose a method for using mobile network data to detect potential COVID-19 hospitalizations and derive corresponding epidemic risk maps. We apply our methods to a dataset from more than 2 million cellphones, collected over the month
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d73dbe80802356b1f6e41f037532514
https://doi.org/10.1145/3557995.3566120
https://doi.org/10.1145/3557995.3566120
We present a novel technique for modulating the appearance frequency of a few tokens within a dataset for encoding an invisible watermark that can be used to protect ownership rights upon data. We develop optimal as well as fast heuristic algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10188::03fe928a66c98d88d5cdecc8992895fb
https://hdl.handle.net/20.500.12761/1626
https://hdl.handle.net/20.500.12761/1626