Now showing items 1-20 of 41

    • A cardiotoxicity dataset for breast cancer patients 

      Piñeiro Lamas, Beatriz; López-Cheda, Ana; Cao, Ricardo; Ramos-Alonso, Laura; González-Barbeito, Gabriel; Barbeito Caamaño, Cayetana; Bouzas-Mosquera, Alberto (Nature Research, 2023)
      [Abstract] This dataset is a result of the collaboration between the University of A Coruña and the University Hospital of A Coruña. It contains information about 531 women diagnosed with HER2+ breast cancer, treated with ...
    • A Doubly Smoothed PD Estimator in Credit Risk 

      Peláez, Rebeca; Cao, Ricardo; Vilar, Juan M. (MDPI AG, 2020-09-01)
      [Abstract] In this work a doubly smoothed probability of default (PD) estimator is proposed based on a smoothed version of the survival Beran’s estimator. The asymptotic properties of both the smoothed survival and PD ...
    • Analysis of interval‐grouped data in weed science: The binnednp Rcpp package 

      Barreiro-Ures, Daniel; Francisco-Fernández, Mario; Cao, Ricardo; Fraguela, Basilio B.; Doallo, Ramón; González-Andújar, José Luis; Reyes, Miguel (John Wiley & Sons Ltd., 2019-09-13)
      [Abstract] Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT). ...
    • Antagonist muscle co-activation during straight walking and its relation to kinematics: Insight from young, elderly and Parkinson's disease 

      Arias, Pablo; Espinosa, Nelson; Robles-García, Verónica; Cao, Ricardo; Cudeiro, Javier (Elsevier, 2012-03-21)
      [Abstract] Increased antagonist muscle co-activation of the lower limb during walking seems to be an adaptive process to the physiological changes of aging, in order to gain joint stability. In the healthy subjects this ...
    • Automatic detection of defective crankshafts by image analysis and supervised classification 

      Remeseiro, Beatriz; Tarrío-Saavedra, Javier; Francisco-Fernández, Mario; Penedo, Manuel; Naya, Salvador; Cao, Ricardo (2019)
      [Abstract]: A crankshaft is a mechanical component of an engine that performs a conversion of an alternative movement of a piston in a rotational motion of a shaft. It is a critical part and one of the most expensive of ...
    • Bagging cross-validated bandwidths with application to big data 

      Barreiro-Ures, Daniel; Cao, Ricardo; Francisco-Fernández, Mario; Hart, Jeffrey D. (2021)
      Hall & Robinson (2009) proposed and analysed the use of bagged cross-validation to choose the band-width of a kernel density estimator. They established that bagging greatly reduces the noise inherent in ordinary ...
    • Bandwidth Selection for Prediction in Regression 

      Barbeito, Inés; Cao, Ricardo; Sperlich, Stefan (M D P I AG, 2019-08-05)
      [Abstract] There exist many different methods to choose the bandwidth in kernel regression. If, however, the target is regression based prediction for samples or populations with potentially different distributions, then ...
    • Bandwidth selection for statistical matching and prediction 

      Barbeito Cal, Inés; Cao, Ricardo; Sperlich, Stephan (Springer, 2022)
      [Abstract]: While there exist many bandwidth selectors for estimation, bandwidth selection for statistical matching and prediction has hardly been studied so far. We introduce a computationally attractive selector for ...
    • Big-But-Biased Data Analytics for Air Quality 

      Borrajo, Laura; Cao, Ricardo (MDPI AG, 2020-09-22)
      [Abstract] Air pollution is one of the big concerns for smart cities. The problem of applying big data analytics to sampling bias in the context of urban air quality is studied in this paper. A nonparametric estimator ...
    • Bootstrap Bandwidth Selection and Confidence Regions for Double Smoothed Default Probability Estimation 

      Peláez, Rebeca; Cao, Ricardo; Vilar, Juan M. (MDPI, 2022)
      [Abstract] For a fixed time, t, and a horizon time, b, the probability of default (PD) measures the probability that an obligor, that has paid his/her credit until time t, runs into arrears not later that time t+b. This ...
    • Bootstrap Selector for the Smoothing Parameter of Beran’s Estimator 

      Peláez, Rebeca; Cao, Ricardo; Vilar, Juan M. (MDPI, 2021)
      [Abstract] This work proposes a resampling technique to approximate the smoothing parameter of Beran’s estimator. It is based on resampling by the smoothed bootstrap and minimising the bootstrap approximation of the mean ...
    • Bootstrap testing for cross-correlation under low firing activity 

      González Montoro, Aldana María; Cao, Ricardo; Espinosa, Nelson; Cudeiro, Javier; Mariño Alfonso, Xurxo (Springer, 2015-04-14)
      [Abstract] A new cross-correlation synchrony index for neural activity is proposed. The index is based on the integration of the kernel estimation of the cross-correlation function. It is used to test for the dynamic ...
    • Building-Scale Wastewater-Based Epidemiology for SARS-CoV-2 Surveillance at Nursing Homes in A Coruña, Spain 

      Trigo-Tasende, Noelia; Vallejo, J.A.; Rumbo-Feal, Soraya; Conde-Pérez, Kelly; Nasser-Ali, Mohammed; Tarrío-Saavedra, Javier; Barbeito, Inés; Cao, Ricardo; Ladra, Susana; Bou, Germán; Poza, Margarita (MDPI, 2023-11)
      [Abstract] Wastewater-based epidemiology (WBE) has become an effective tool in the surveillance of infectious diseases such as COVID-19. In this work, we performed a brief study of monitoring the SARS-CoV-2 viral load ...
    • Bursting thalamic responses in awake monkey contribute to visual detection and are modulated by corticofugal feedback 

      Ortuño Silva, Tania; Grieve, Kenneth; Cao, Ricardo; Cudeiro, Javier; Rivadulla, Casto (Frontiers, 2014-05-30)
      [Abstract] The lateral geniculate nucleus is the gateway for visual information en route to the visual cortex. Neural activity is characterized by the existence of two firing modes: burst and tonic. Originally associated ...
    • Comments on: Nonparametric estimation in mixture cure models with covariates 

      Cao, Ricardo (Springer Science and Business Media Deutschland GmbH, 2023)
      [Abstract]: This paper discusses the invited paper by López-Cheda, Peng and Jácome on nonparametric mixture cure models with covariates. An alternative estimation procedure is proposed in this context. The situation when ...
    • Computationally Efficient Bootstrap Expressions for Bandwidth Selection in Nonparametric Curve Estimation 

      Barbeito Cal, Inés; Cao, Ricardo (M D P I AG, 2018-09-17)
      [Abstract] Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric ...
    • Cost-sensitive thresholding over a two-dimensional decision region for fraud detection 

      C-Rella, Jorge; Cao, Ricardo; Vilar, Juan M. (Elsevier B.V., 2024-02)
      [Absctract]: Credit fraud poses a challenging task in terms of detection. It can result in significant losses depending on the amount, so a cost-sensitive perspective needs to be taken. Classical approaches focus on ...
    • Cross nearest-spike interval based method to measure synchrony dynamics 

      González Montoro, Aldana María; Cao, Ricardo; Faes, Christel; Molenberghs, Geert; Espinosa, Nelson; Cudeiro, Javier; Mariño Alfonso, Xurxo (American Institute of Mathematical Sciences, 2014-02)
      [Abstract] A new synchrony index for neural activity is de ned in this paper. The method is able to measure synchrony dynamics in low ring rate scenarios. It is based on the computation of the time intervals between ...
    • Cure models to estimate time until hospitalization due to COVID-19 

      Pedrosa-Laza, Maria; López-Cheda, Ana; Cao, Ricardo (Springer Nature, 2022-01)
      [Abstract]: A short introduction to survival analysis and censored data is included in this paper. A thorough literature review in the field of cure models has been done. An overview on the most important and recent ...
    • Different sources of nitric oxide mediate neurovascular coupling in the lateral geniculate nucleus of the cat 

      Labra, Carmen de; Rivadulla, Casto; Espinosa, Nelson; Dasilva, Miguel; Cao, Ricardo; Cudeiro, Javier (Frontiers, 2009-09-08)
      [Abstract] Understanding the link between neuronal responses (NRs) and metabolic signals is fundamental to our knowledge of brain function and it is a milestone in our efforts to interpret data from modern non invasive ...