Výsledky vyhledávání - "Cuevas Alejandro"

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Observations From an Online Security Competition and Its Implications on Crowdsourced Security

Autor: Cuevas, Alejandro, Hogan, Emma, Hibshi, Hanan, Christin, Nicolas

The crowd sourced security industry, particularly bug bounty programs, has grown dramatically over the past years and has become the main source of software security reviews for many companies. However, the academic literature has largely omitted sec

Externí odkaz: http://arxiv.org/abs/2204.12601

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Bayesian autoregressive spectral estimation

Autor: Cuevas, Alejandro, López, Sebastián, Mandic, Danilo, Tobar, Felipe

Autoregressive (AR) time series models are widely used in parametric spectral estimation (SE), where the power spectral density (PSD) of the time series is approximated by that of the \emph{best-fit} AR model, which is available in closed form. Since

Externí odkaz: http://arxiv.org/abs/2110.02156

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Gaussian process imputation of multiple financial series

Autor: de Wolff, Taco, Cuevas, Alejandro, Tobar, Felipe

In Financial Signal Processing, multiple time series such as financial indicators, stock prices and exchange rates are strongly coupled due to their dependence on the latent state of the market and therefore they are required to be jointly analysed.

Externí odkaz: http://arxiv.org/abs/2002.05789

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MOGPTK: The Multi-Output Gaussian Process Toolkit

Autor: de Wolff, Taco, Cuevas, Alejandro, Tobar, Felipe

We present MOGPTK, a Python package for multi-channel data modelling using Gaussian processes (GP). The aim of this toolkit is to make multi-output GP (MOGP) models accessible to researchers, data scientists, and practitioners alike. MOGPTK uses a Py

Externí odkaz: http://arxiv.org/abs/2002.03471

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Akademický článek

A method for automatically extracting infectious disease-related primers and probes from the literature

Autor: Pérez-Rey David, de la Iglesia Diana, de la Calle Guillermo, López-Campos Guillermo, López-Alonso Victoria, Cuevas Alejandro, García-Remesal Miguel, Crespo José, Martín-Sánchez Fernando, Maojo Víctor

Publikováno v: BMC Bioinformatics, Vol 11, Iss 1, p 410 (2010)

Abstract Background Primer and probe sequences are the main components of nucleic acid-based detection systems. Biologists use primers and probes for different tasks, some related to the diagnosis and prescription of infectious diseases. The biologic

Externí odkaz: https://doaj.org/article/0083047868b348ec81856010e134ea62