Publicacións (30) Publicacións de MARTA SESTELO PEREZ

2024

  1. A method for determining groups in cumulative incidence curves in competing risk data

    Biometrical Journal, Vol. 66, Núm. 4

  2. Correction to: Explainable generalized additive neural networks with independent neural network training (Statistics and Computing, (2024), 34, 1, (6), 10.1007/s11222-023-10320-5)

    Statistics and Computing

  3. Explainable generalized additive neural networks with independent neural network training

    Statistics and Computing, Vol. 34, Núm. 1

  4. Network intrusion detection system for DDoS attacks in ICS using deep autoencoders

    Wireless Networks, Vol. 30, Núm. 6, pp. 5059-5075

2023

  1. Detecting Anomalies in Industrial Control Systems with LSTM Neural Networks and UEBA

    Actas de las VIII Jornadas Nacionales de Investigación en Ciberseguridad: Vigo, 21 a 23 de junio de 2023

  2. Detecting Anomalies in Industrial Control Systems with LSTM Neural Networks and UEBA

    2023 JNIC Cybersecurity Conference, JNIC 2023

  3. seq2R: An R Package to Detect Change Points in DNA Sequences

    Mathematics, Vol. 11, Núm. 10

2022

  1. The Role of Microplastics in Marine Pathogen Transmission: Retrospective Regression Analysis, Experimental Design, and Disease Modelling

    Journal of Marine Science and Engineering, Vol. 10, Núm. 12

2021

  1. A new approach for dynamic and risk-based data anonymization

    Advances in Intelligent Systems and Computing

  2. clustcurv: An R Package for Determining Groups in Multiple Curves

    R Journal, Vol. 13, Núm. 1, pp. 164-183

  3. survidm: An R package for Inference and Prediction in an Illness-Death Model

    R Journal, Vol. 13, Núm. 2, pp. 70-89

2019

  1. A method for determining groups in multiple survival curves

    Statistics in Medicine, Vol. 38, Núm. 5, pp. 866-877

  2. Estimation in the progressive illness-death model: A nonexhaustive review

    Biometrical Journal, Vol. 61, Núm. 2, pp. 245-263

  3. Testing critical points of non-parametric regression curves: application to the management of stalked barnacles

    Journal of the Royal Statistical Society. Series C: Applied Statistics, Vol. 68, Núm. 4, pp. 1051-1070

2017

  1. Npregfast: An R package for nonparametric estimation and inference in life sciences

    Journal of Statistical Software, Vol. 82, Núm. 12, pp. 1-27

2016

  1. CondSURV: An r package for the estimation of the conditional survival function for ordered multivariate failure time data

    R Journal, Vol. 8, Núm. 2, pp. 464-477

  2. FWDselect: An R package for variable selection in regression models

    R Journal, Vol. 8, Núm. 1, pp. 132-148

  3. Nonparametric estimation of the survival function for ordered multivariate failure time data: A comparative study

    Biometrical Journal, Vol. 58, Núm. 3, pp. 623-634

  4. Spawning habitat selection by the common cuttlefish Sepia officinalis in the Cíes Islands (Northwest Spain)

    Fisheries Research, Vol. 183, pp. 44-54

2015

  1. Assessing the suitability of the minimum capture size and protection regimes in the gooseneck barnacle shellfishery

    Ocean and Coastal Management, Vol. 104, pp. 150-158