Optimizing Evolution Rules Application and Communication Times in Membrane Systems Implementation. - Jorge Aurelio Tejedor; Abraham Gutiérrez; Luis Fernández; Fernando Arroyo; Ginés Bravo; Sandra Gómez Canaval (Workshop on Membrane Computing, 2007)

Hardware Implementation of P Systems Using Microcontrollers. An Operating Environment for Implementing a Partially Parallel Distributed Architecture. - Sandra Maria Gómez Canaval; Abraham Gutierrez Rodriguez; Santiago Alonso Villaverde (SYNASC, 2008)

Implementing Self-Organizing Neural Networks for P-Systems Communications Architectures using Microcontrollers. - Sandra Maria Gómez Canaval; Abraham Gutierrez Rodriguez; Soledad Delgado Sanz (IICAI, 2009)

Suitability of Artificial Neural Networks for Designing LoC Circuits. - David Moreno; Sandra Gómez Canaval; Juan Castellanos (IWANN (1), 2011)

Engineering with Biological Systems. - Fernando Arroyo; Sandra Gómez Canaval; Pedro C. Marijuán (ERCIM News, 2011)

Simulating Metabolic Processes Using an Architecture Based on Networks of Bio-inspired Processors. - Sandra Gómez Canaval; José-Ramón Sánchez-Couso; Fernando Arroyo (UCNC, 2013)

Networks of Polarized Evolutionary Processors Are Computationally Complete. - Fernando Arroyo; Sandra Gómez Canaval; Victor Mitrana; Stefan Popescu (LATA, 2014)

Transducers Based on Networks of Evolutionary Processors. - Sandra Gómez Canaval; Victor Mitrana; Santiago Alonso Villaverde (J. Autom. Lang. Comb., 2014)

Marco computacional para la definición de un modelo bio-inspirado en la señalización celular. - Sandra Maria Gómez Canaval (2014)

NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios. - Sandra Gómez Canaval; Bruno Ordozgoiti Rubio; Alberto Mozo (ADBIS (Short Papers and Workshops), 2015)

Massively Parallel Unsupervised Feature Selection on Spark. - Bruno Ordozgoiti Rubio; Sandra Gómez Canaval; Alberto Mozo (ADBIS (Short Papers and Workshops), 2015)

Distributed Simulation of NEPs Based On-Demand Cloud Elastic Computation. - Sandra Gómez Canaval; Alfonso Ortega de la Puente; Pablo Orgaz González (IWANN (1), 2015)

How Nets of Evolutionary Processors (NEPs) Could be Simulated in a Distributed Way. - Karina Jiménez; Antonio Jiménez; Marina de la Cruz; Sandra Gómez Canaval (IWANN (1), 2015)

How to Search Optimal Solutions in Big Spaces with Networks of Bio-Inspired Processors. - José-Ramón Sánchez-Couso; Sandra Gómez Canaval; David Batard Lorenzo (IWANN (1), 2015)

Feature Ranking and Selection for Big Data Sets. - Bruno Ordozgoiti Rubio; Sandra Gómez Canaval; Alberto Mozo (ADBIS (Short Papers and Workshops), 2016)

Parallelized unsupervised feature selection for large-scale network traffic analysis. - Bruno Ordozgoiti; Sandra Gómez Canaval; Alberto Mozo (ESANN, 2016)

A Fast Iterative Algorithm for Improved Unsupervised Feature Selection. - Bruno Ordozgoiti Rubio; Sandra Gómez Canaval; Alberto Mozo (ICDM, 2016)

Towards Quantitative Networks of Polarized Evolutionary Processors: A Bio-Inspired Computational Model with Numerical Evaluations. - Sandra Gómez Canaval; Karina Jiménez; Alfonso Ortega de la Puente; Stanislav Vakaruk (PAAMS (Special Sessions), 2016)

Networks of splicing processors with evaluation sets as optimization problems solvers. - Sandra Gómez Canaval; Victor Mitrana; José-Ramón Sánchez-Couso (Inf. Sci., 2016)

Solving optimization problems by using networks of evolutionary processors with quantitative filtering. - Sandra Gómez Canaval; José-Ramón Sánchez-Couso; Meritxell Vinyals (J. Comput. Sci., 2016)

Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure. - Bruno Ordozgoiti; Alberto Mozo; Sandra Gómez Canaval; Udi Margolin; Elisha J. Rosensweig; Itai Segall (ESANN, 2017)

Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection. - Bruno Ordozgoiti Rubio; Sandra Gómez Canaval; Alberto Mozo (IWANN (2), 2017)

On the computational power of networks of polarized evolutionary processors. - Fernando Arroyo; Sandra Gómez Canaval; Victor Mitrana; Stefan Popescu (Inf. Comput., 2017)

Transducers based on networks of polarized evolutionary processors. - Fernando Arroyo; Sandra Gómez Canaval; Victor Mitrana; José-Ramón Sánchez-Couso (Theor. Comput. Sci., 2017)

Towards Probabilistic Networks of Polarized Evolutionary Processors. - Fernando Arroyo; Sandra Gómez Canaval; Victor Mitrana; Mihaela Paun; José-Ramón Sánchez-Couso (HPCS, 2018)

Iterative column subset selection. - Bruno Ordozgoiti Rubio; Sandra Gómez Canaval; Alberto Mozo (Knowl. Inf. Syst., 2018)

Ultra-Scalable Simulations of Networks of Polarized Evolutionary Processors. - Sandra Gómez Canaval; Victor Mitrana; Mihaela Paun; Stanislav Vararuk (ICAAI, 2019)

High Performance and Scalable Simulations of a Bio-inspired Computational Model. - Sandra Gómez Canaval; Victor Mitrana; Mihaela Paun; Stanislav Vararuk (HPCS, 2019)

Scalable Prediction of Service-Level Events in Datacenter Infrastructure Using Deep Neural Networks. - Alberto Mozo; Itai Segall; Udi Margolin; Sandra Gómez Canaval (IEEE Access, 2019)

Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning. - Antonio Pastor 001; Alberto Mozo; Stanislav Vakaruk; Daniele Canavese; Diego R. López; Leonardo Regano; Sandra Gómez Canaval; Antonio Lioy (IEEE Access, 2020)

A Linear Time Solution for N-Queens Problem Using Generalized Networks of Evolutionary Polarized Processors. - Fernando Arroyo; Sandra Gómez Canaval; Karina Jiménez; Alfonso Ortega de la Puente (Int. J. Found. Comput. Sci., 2020)

Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks. - Alberto Mozo; Ángel González-Prieto; Antonio Pastor Perales; Sandra Gómez Canaval; Edgar Talavera (CoRR, 2021)

Dynamics of Fourier Modes in Torus Generative Adversarial Networks. - Ángel González-Prieto; Alberto Mozo; Edgar Talavera; Sandra Gómez Canaval (CoRR, 2022)

Improving the quality of generative models through Smirnov transformation. - Ángel González-Prieto; Alberto Mozo; Sandra Gómez Canaval; Edgar Talavera (Inf. Sci., 2022)

B5GEMINI: AI-Driven Network Digital Twin. - Alberto Mozo; Amit Karamchandani; Sandra Gómez Canaval; Mario Sanz Rodrigo; José Ignacio Moreno; Antonio Pastor 001 (Sensors, 2022)

Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case. - Stanislav Vakaruk; Amit Karamchandani; Jesús Enrique Sierra-García; Alberto Mozo; Sandra Gómez Canaval; Antonio Pastor 001 (Sensors, 2023)

Data Augmentation techniques in time series domain: a survey and taxonomy. - Guillermo Iglesias; Edgar Talavera; Ángel González-Prieto; Alberto Mozo; Sandra Gómez Canaval (Neural Comput. Appl., 2023)

Using N-BEATS ensembles to predict automated guided vehicle deviation. - Amit Karamchandani; Alberto Mozo; Stanislav Vakaruk; Sandra Gómez Canaval; Jesús Enrique Sierra-García; Antonio Pastor 001 (Appl. Intell., 2023)

Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms. - Silvia Martín-Suazo; Jesús Morón-López; Stanislav Vakaruk; Amit Karamchandani; Juan Antonio Pascual Aguilar; Alberto Mozo; Sandra Gómez Canaval; Meritxell Vinyals; Juan Manuel Ortiz (Knowl. Based Syst., 2024)

A methodological framework for optimizing the energy consumption of deep neural networks: a case study of a cyber threat detector. - Amit Karamchandani; Alberto Mozo; Sandra Gómez Canaval; Antonio Pastor 001 (Neural Comput. Appl., 2024)