Argitalpenak (30) MARTA SESTELO PEREZ argitalpenak Ikerketa datu erreferentziatuak ikusi.

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

    2023 JNIC Cybersecurity Conference, JNIC 2023

  2. 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

  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