Sandra Gómez Canaval

Orcid: 0000-0002-9757-7871

According to our database1, Sandra Gómez Canaval authored at least 38 papers between 2007 and 2023.

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Bibliography

2023
Using N-BEATS ensembles to predict automated guided vehicle deviation.
Appl. Intell., November, 2023

Data Augmentation techniques in time series domain: a survey and taxonomy.
Neural Comput. Appl., May, 2023

Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case.
Sensors, April, 2023

2022
B5GEMINI: AI-Driven Network Digital Twin.
Sensors, 2022

Improving the quality of generative models through Smirnov transformation.
Inf. Sci., 2022

Dynamics of Fourier Modes in Torus Generative Adversarial Networks.
CoRR, 2022

2021
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks.
CoRR, 2021

2020
A Linear Time Solution for N-Queens Problem Using Generalized Networks of Evolutionary Polarized Processors.
Int. J. Found. Comput. Sci., 2020

Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning.
IEEE Access, 2020

2019
Scalable Prediction of Service-Level Events in Datacenter Infrastructure Using Deep Neural Networks.
IEEE Access, 2019

High Performance and Scalable Simulations of a Bio-inspired Computational Model.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Ultra-Scalable Simulations of Networks of Polarized Evolutionary Processors.
Proceedings of the 3rd International Conference on Advances in Artificial Intelligence, 2019

2018
Iterative column subset selection.
Knowl. Inf. Syst., 2018

Towards Probabilistic Networks of Polarized Evolutionary Processors.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

2017
Transducers based on networks of polarized evolutionary processors.
Theor. Comput. Sci., 2017

On the computational power of networks of polarized evolutionary processors.
Inf. Comput., 2017

Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection.
Proceedings of the Advances in Computational Intelligence, 2017

Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Solving optimization problems by using networks of evolutionary processors with quantitative filtering.
J. Comput. Sci., 2016

Networks of splicing processors with evaluation sets as optimization problems solvers.
Inf. Sci., 2016

Towards Quantitative Networks of Polarized Evolutionary Processors: A Bio-Inspired Computational Model with Numerical Evaluations.
Proceedings of the Trends in Practical Applications of Scalable Multi-Agent Systems, 2016

A Fast Iterative Algorithm for Improved Unsupervised Feature Selection.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Parallelized unsupervised feature selection for large-scale network traffic analysis.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Feature Ranking and Selection for Big Data Sets.
Proceedings of the New Trends in Databases and Information Systems, 2016

2015
How to Search Optimal Solutions in Big Spaces with Networks of Bio-Inspired Processors.
Proceedings of the Advances in Computational Intelligence, 2015

How Nets of Evolutionary Processors (NEPs) Could be Simulated in a Distributed Way.
Proceedings of the Advances in Computational Intelligence, 2015

Distributed Simulation of NEPs Based On-Demand Cloud Elastic Computation.
Proceedings of the Advances in Computational Intelligence, 2015

Massively Parallel Unsupervised Feature Selection on Spark.
Proceedings of the New Trends in Databases and Information Systems, 2015

NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios.
Proceedings of the New Trends in Databases and Information Systems, 2015

2014
Marco computacional para la definición de un modelo bio-inspirado en la señalización celular.
PhD thesis, 2014

Transducers Based on Networks of Evolutionary Processors.
J. Autom. Lang. Comb., 2014

Networks of Polarized Evolutionary Processors Are Computationally Complete.
Proceedings of the Language and Automata Theory and Applications, 2014

2013
Simulating Metabolic Processes Using an Architecture Based on Networks of Bio-inspired Processors.
Proceedings of the Unconventional Computation and Natural Computation, 2013

2011
Engineering with Biological Systems.
ERCIM News, 2011

Suitability of Artificial Neural Networks for Designing LoC Circuits.
Proceedings of the Advances in Computational Intelligence, 2011

2009
Implementing Self-Organizing Neural Networks for P-Systems Communications Architectures using Microcontrollers.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

2008
Hardware Implementation of P Systems Using Microcontrollers. An Operating Environment for Implementing a Partially Parallel Distributed Architecture.
Proceedings of the SYNASC 2008, 2008

2007
Optimizing Evolution Rules Application and Communication Times in Membrane Systems Implementation.
Proceedings of the Membrane Computing, 8th International Workshop, 2007


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