activity
20192024
most citedMultivariate outlier detection based on a robust Mahalanobis distance with shrinkage estimators

96 citations · 106 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2024★ 2 cited

A real-time Artificial Intelligence system for learning Sign Language

Elisa Cabana

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…

cs.CR2023★ 1 cited

FreqyWM: Frequency Watermarking for the New Data Economy

Devriş İşler, Elisa Cabana, Alvaro Garcia-Recuero +2

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 righ…

physics.soc-ph2021

Estimating Active Cases of COVID-19

Javier Álvarez, Carlos Baquero, Elisa Cabana +17

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 per…

cs.DC2020

CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics

Oluwasegun Ojo, Augusto García-Agundez, Benjamin Girault +22

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 limit…

stat.ME2019★ 7 cited

Robust regression based on shrinkage estimators

Elisa Cabana, Rosa E. Lillo, Henry Laniado

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 stu…

stat.ME2019★ 96 cited

Multivariate outlier detection based on a robust Mahalanobis distance with shrinkage estimators

Elisa Cabana, Rosa E. Lillo, Henry Laniado

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 es…