Sandra Gómez Canaval

Jesús Enrique Sierra-García

Neural Comput. Appl., May, 2023

Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case.

[BibT_eX]

[DOI]

Stanislav Vakaruk

Amit Karamchandani

Antonio Pastor

Sensors, April, 2023

2022

B5GEMINI: AI-Driven Network Digital Twin.

[BibT_eX]

[DOI]

Sensors, 2022

Improving the quality of generative models through Smirnov transformation.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Dynamics of Fourier Modes in Torus Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2022

2021

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

[BibT_eX]

[DOI]

Antonio Pastor Perales

CoRR, 2021

2020

A Linear Time Solution for N-Queens Problem Using Generalized Networks of Evolutionary Polarized Processors.

[BibT_eX]

[DOI]

Alfonso Ortega de la Puente

Karina Jiménez

Int. J. Found. Comput. Sci., 2020

Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Scalable Prediction of Service-Level Events in Datacenter Infrastructure Using Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Access, 2019

High Performance and Scalable Simulations of a Bio-inspired Computational Model.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Ultra-Scalable Simulations of Networks of Polarized Evolutionary Processors.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence, 2019

2018

Iterative column subset selection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2018

Towards Probabilistic Networks of Polarized Evolutionary Processors.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

2017

Transducers based on networks of polarized evolutionary processors.

[BibT_eX]

[DOI]

Victor Mitrana

Theor. Comput. Sci., 2017

On the computational power of networks of polarized evolutionary processors.

[BibT_eX]

[DOI]

Inf. Comput., 2017

Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2017

Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure.

[BibT_eX]

[DOI]

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Solving optimization problems by using networks of evolutionary processors with quantitative filtering.

[BibT_eX]

[DOI]

Meritxell Vinyals

J. Comput. Sci., 2016

Networks of splicing processors with evaluation sets as optimization problems solvers.

[BibT_eX]

[DOI]

Victor Mitrana

Inf. Sci., 2016

Towards Quantitative Networks of Polarized Evolutionary Processors: A Bio-Inspired Computational Model with Numerical Evaluations.

[BibT_eX]

[DOI]

Alfonso Ortega de la Puente

Karina Jiménez

Stanislav Vakaruk

Proceedings of the Trends in Practical Applications of Scalable Multi-Agent Systems, 2016

A Fast Iterative Algorithm for Improved Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Parallelized unsupervised feature selection for large-scale network traffic analysis.

[BibT_eX]

[DOI]

Bruno Ordozgoiti

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Feature Ranking and Selection for Big Data Sets.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

David Batard Lorenzo

Proceedings of the Advances in Computational Intelligence, 2015

How Nets of Evolutionary Processors (NEPs) Could be Simulated in a Distributed Way.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2015

Distributed Simulation of NEPs Based On-Demand Cloud Elastic Computation.

[BibT_eX]

[DOI]

Alfonso Ortega de la Puente

Pablo Orgaz González

Proceedings of the Advances in Computational Intelligence, 2015

Massively Parallel Unsupervised Feature Selection on Spark.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sandra Maria Gómez Canaval

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.

[BibT_eX]

[DOI]

PhD thesis, 2014

Transducers Based on Networks of Evolutionary Processors.

[BibT_eX]

[DOI]

Santiago Alonso Villaverde

Victor Mitrana

J. Autom. Lang. Comb., 2014

Networks of Polarized Evolutionary Processors Are Computationally Complete.

[BibT_eX]

[DOI]

Proceedings of the Language and Automata Theory and Applications, 2014

2013

Simulating Metabolic Processes Using an Architecture Based on Networks of Bio-inspired Processors.

[BibT_eX]

[DOI]

Proceedings of the Unconventional Computation and Natural Computation, 2013

2011

Engineering with Biological Systems.

[BibT_eX]

[DOI]

Pedro C. Marijuán

ERCIM News, 2011

Suitability of Artificial Neural Networks for Designing LoC Circuits.

[BibT_eX]

[DOI]

David Moreno