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Explainable generalized additive neural networks with independent neural network training

Statistics and computing, 2024-02, Vol.34 (1), Article 6

2024

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Correction to: Explainable generalized additive neural networks with independent neural network training

Statistics and computing, 2024, Vol.34 (5), Article 153

2024

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npregfast : An R Package for Nonparametric Estimation and Inference in Life Sciences

Journal of statistical software, 2017-12, Vol.82 (12), p.1-27

2017

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

Mathematics (Basel), 2023-05, Vol.11 (10), p.2299

2023

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

Journal of marine science and engineering, 2022-11, Vol.10 (12), p.1837

2022

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Dwellers in dens on sandy bottoms: Ecological and behavioural traits of Octopus vulgaris

Scientia marina, 2014-09, Vol.78 (3), p.405-414

2014

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

Wireless networks, 2024-08, Vol.30 (6), p.5059-5075

2024

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

The R journal, 2021, Vol.13 (2), p.22

2021

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condSURV: An R Package for the Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data

The R journal, 2016, Vol.8 (2), p.460

2016

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Predicting SO sub(2) pollution incidents by means of additive models with optimum variable selection

Atmospheric environment (1994), 2014-10, Vol.95, p.151-157

2014

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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, 2019-08, Vol.68 (4), p.1051-1070

2019

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

Fisheries research, 2016-11, Vol.183, p.44-54

2016

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clustcurv: An R Package for Determining Groups in Multiple Curves

The R journal, 2021, Vol.13 (1), p.164

2021

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Predicting SO2 pollution incidents by means of additive models with optimum variable selection

Atmospheric environment (1994), 2014-10, Vol.95, p.151-157

2014

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Spawning habitat selection by Octopus vulgaris: New insights for a more effective management of this resource

Fisheries research, 2015-07, Vol.167 (C), p.313-322

2015

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FWDselect: An R Package for Variable Selection in Regression Models

The R journal, 2016, Vol.8 (1), p.132

2016

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Estimating a new suitable catch size for two clam species: Implications for shellfishery management

Ocean & coastal management, 2013-01, Vol.71, p.52-63

2013

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Variable selection in regression models used to analyse Global Positioning System accuracy in forest environments

Applied mathematics and computation, 2012-11, Vol.219 (4), p.2220-2230

2012

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

Ocean & coastal management, 2015-02, Vol.104, p.150-158

2015

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A New Approach for Dynamic and Risk-Based Data Anonymization

13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020), p.327-336

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

2023 JNIC Cybersecurity Conference (JNIC), 2023, p.1-8

2023

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Sperm Morphology in Neotropical Primates

Animals (Basel), 2019-10, Vol.9 (10), p.839

2019

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Metabolic disorders and post-acute hospitalization in black/mixed-race patients with long COVID in Brazil: A cross-sectional analysis

PloS one, 2022-10, Vol.17 (10), p.e0276771-e0276771

2022

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Explainable generalized additive neural networks with independent neural network training

Correction to: Explainable generalized additive neural networks with independent neural network training

npregfast : An R Package for Nonparametric Estimation and Inference in Life Sciences

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

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

Dwellers in dens on sandy bottoms: Ecological and behavioural traits of Octopus vulgaris

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

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

condSURV: An R Package for the Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data

Predicting SO sub(2) pollution incidents by means of additive models with optimum variable selection

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

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

clustcurv: An R Package for Determining Groups in Multiple Curves

Predicting SO2 pollution incidents by means of additive models with optimum variable selection

Spawning habitat selection by Octopus vulgaris: New insights for a more effective management of this resource

FWDselect: An R Package for Variable Selection in Regression Models

Estimating a new suitable catch size for two clam species: Implications for shellfishery management

Variable selection in regression models used to analyse Global Positioning System accuracy in forest environments

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

A New Approach for Dynamic and Risk-Based Data Anonymization

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

Sperm Morphology in Neotropical Primates

Metabolic disorders and post-acute hospitalization in black/mixed-race patients with long COVID in Brazil: A cross-sectional analysis

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