Marta Sestelo
University of Vigo
27 Papers
56 Citations
Marta Sestelo is an academic researcher from University of Vigo. The author has contributed to research in topics: Regression analysis & Computer science. The author has an hindex of 8, co-authored 21 publications. Previous affiliations of Marta Sestelo include University of Minho & Autonomous University of Barcelona.
Chat about Author
Papers
Network intrusion detection system for DDoS attacks in ICS using deep autoencoders
TL;DR: In this article , the authors proposed a network intrusion detection system (NIDS) architecture based on a deep autoencoder trained on network flow data, which has the advantage of not requiring prior knowledge of the network topology or its underlying architecture.
Estimation in the progressive illness‐death model: A nonexhaustive review
TL;DR: A review of some of the available methods for estimating quantities in the progressive illness-death model conditionally (or not) on covariate measures, and feasible estimation methods for the cumulative incidence function conditionally on covariates are introduced.
33
FWDselect: an R package for variable selection in regression models
TL;DR: This work was supported by research grant SFRH/BPD/93928/2013 of “Fundacao para a Ciencia e a Tecnologia” (FCT) and by FEDER Funds through “Programa Operacional Factores de Competitividade”.
Spawning habitat selection by Octopus vulgaris: New insights for a more effective management of this resource
Ángel Guerra,Jorge Hernández-Urcera,Manuel E. Garci,Marta Sestelo,Marcos Regueira,Ángel F. González,Miguel Cabanellas-Reboredo,Matías Calvo-Manazza,Beatriz Morales-Nin +8 more
TL;DR: Sestelo et al. as discussed by the authors proposed a grant from the Portuguese Fundacaoo Ciencia e Tecnologia and by the Portuguese Funds through FCT through the form of grant PEst-OE/MAT/UI0013/2014.
21
Estimating a new suitable catch size for two clam species: Implications for shellfishery management
TL;DR: The nonparametric model was confirmed as an alternative approach to analyze the length–weight relationship for the studied species and to estimate a minimum suitable catch size of capture and could lead to an increase in available commercial stocks of both species and positive effects on the conservation of the native species.
17