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ORCIDSandra Gómez Canaval
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2020 – today
- 2024
[j16]Silvia Martín-Suazo
, Jesús Morón-López, Stanislav Vakaruk, Amit Karamchandani, Juan Antonio Pascual Aguilar, Alberto Mozo, Sandra Gómez Canaval, Meritxell Vinyals, Juan Manuel Ortiz:
Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms. Knowl. Based Syst. 301: 112279 (2024)- [j15]Amit Karamchandani, Alberto Mozo, Sandra Gómez Canaval, Antonio Pastor:
A methodological framework for optimizing the energy consumption of deep neural networks: a case study of a cyber threat detector. Neural Comput. Appl. 36(17): 10297-10338 (2024) - 2023
- [j14]Amit Karamchandani, Alberto Mozo, Stanislav Vakaruk, Sandra Gómez Canaval, Jesús Enrique Sierra-García, Antonio Pastor:
Using N-BEATS ensembles to predict automated guided vehicle deviation. Appl. Intell. 53(21): 26139-26204 (2023) - [j13]Guillermo Iglesias, Edgar Talavera, Ángel González-Prieto, Alberto Mozo, Sandra Gómez Canaval:
Data Augmentation techniques in time series domain: a survey and taxonomy. Neural Comput. Appl. 35(14): 10123-10145 (2023) - [j12]Stanislav Vakaruk, Amit Karamchandani, Jesús Enrique Sierra-García, Alberto Mozo, Sandra Gómez Canaval, Antonio Pastor:
Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case. Sensors 23(7): 3516 (2023) - 2022
- [j11]Ángel González-Prieto, Alberto Mozo, Sandra Gómez Canaval, Edgar Talavera:
Improving the quality of generative models through Smirnov transformation. Inf. Sci. 609: 1539-1566 (2022) - [j10]Alberto Mozo, Amit Karamchandani, Sandra Gómez Canaval, Mario Sanz Rodrigo, José Ignacio Moreno, Antonio Pastor:
B5GEMINI: AI-Driven Network Digital Twin. Sensors 22(11): 4106 (2022) - [i5]Edgar Talavera, Guillermo Iglesias, Ángel González-Prieto, Alberto Mozo, Sandra Gómez Canaval:
Data Augmentation techniques in time series domain: A survey and taxonomy. CoRR abs/2206.13508 (2022) - [i4]Ángel González-Prieto, Alberto Mozo, Edgar Talavera, Sandra Gómez Canaval:
Dynamics of Fourier Modes in Torus Generative Adversarial Networks. CoRR abs/2209.01842 (2022) - 2021
- [i3]Alberto Mozo, Ángel González-Prieto, Antonio Pastor Perales, Sandra Gómez Canaval, Edgar Talavera:
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks. CoRR abs/2107.14776 (2021) - [i2]Ángel González-Prieto, Alberto Mozo, Sandra Gómez Canaval, Edgar Talavera:
Improving the quality of generative models through Smirnov transformation. CoRR abs/2110.15914 (2021) - 2020
- [j9]Antonio Pastor, Alberto Mozo, Stanislav Vakaruk, Daniele Canavese, Diego R. López, Leonardo Regano, Sandra Gómez Canaval, Antonio Lioy:
Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning. IEEE Access 8: 158036-158055 (2020) - [j8]Fernando Arroyo, Sandra Gómez Canaval, Karina Jiménez, Alfonso Ortega de la Puente:
A Linear Time Solution for N-Queens Problem Using Generalized Networks of Evolutionary Polarized Processors. Int. J. Found. Comput. Sci. 31(1): 7-21 (2020)
2010 – 2019
- 2019
- [j7]Alberto Mozo, Itai Segall, Udi Margolin, Sandra Gómez Canaval:
Scalable Prediction of Service-Level Events in Datacenter Infrastructure Using Deep Neural Networks. IEEE Access 7: 179779-179798 (2019) - [c20]Sandra Gómez Canaval, Victor Mitrana, Mihaela Paun, Stanislav Vararuk:
Ultra-Scalable Simulations of Networks of Polarized Evolutionary Processors. ICAAI 2019: 73-81 - [c19]Sandra Gómez Canaval, Victor Mitrana, Mihaela Paun, Stanislav Vararuk:
High Performance and Scalable Simulations of a Bio-inspired Computational Model. HPCS 2019: 543-550 - 2018
- [j6]Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo:
Iterative column subset selection. Knowl. Inf. Syst. 54(1): 65-94 (2018) - [c18]Fernando Arroyo, Sandra Gómez Canaval, Victor Mitrana, Mihaela Paun, José-Ramón Sánchez-Couso:
Towards Probabilistic Networks of Polarized Evolutionary Processors. HPCS 2018: 764-771 - 2017
- [j5]Fernando Arroyo, Sandra Gómez Canaval, Victor Mitrana, Stefan Popescu:
On the computational power of networks of polarized evolutionary processors. Inf. Comput. 253: 371-380 (2017) - [j4]Fernando Arroyo, Sandra Gómez Canaval, Victor Mitrana, José-Ramón Sánchez-Couso:
Transducers based on networks of polarized evolutionary processors. Theor. Comput. Sci. 682: 22-29 (2017) - [c17]Bruno Ordozgoiti, Alberto Mozo, Sandra Gómez Canaval, Udi Margolin, Elisha J. Rosensweig, Itai Segall:
Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure. ESANN 2017 - [c16]Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo:
Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection. IWANN (2) 2017: 722-733 - 2016
- [j3]Sandra Gómez Canaval, Victor Mitrana, José-Ramón Sánchez-Couso:
Networks of splicing processors with evaluation sets as optimization problems solvers. Inf. Sci. 369: 457-466 (2016) - [j2]Sandra Gómez Canaval, José-Ramón Sánchez-Couso, Meritxell Vinyals:
Solving optimization problems by using networks of evolutionary processors with quantitative filtering. J. Comput. Sci. 16: 65-71 (2016) - [c15]Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo:
Feature Ranking and Selection for Big Data Sets. ADBIS (Short Papers and Workshops) 2016: 128-136 - [c14]Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo:
Parallelized unsupervised feature selection for large-scale network traffic analysis. ESANN 2016 - [c13]Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo:
A Fast Iterative Algorithm for Improved Unsupervised Feature Selection. ICDM 2016: 390-399 - [c12]Sandra Gómez Canaval, Karina Jiménez, Alfonso Ortega de la Puente, Stanislav Vakaruk:
Towards Quantitative Networks of Polarized Evolutionary Processors: A Bio-Inspired Computational Model with Numerical Evaluations. PAAMS (Special Sessions) 2016: 251-259 - 2015
- [c11]Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo:
Massively Parallel Unsupervised Feature Selection on Spark. ADBIS (Short Papers and Workshops) 2015: 186-196 - [c10]Sandra Gómez Canaval, Bruno Ordozgoiti Rubio, Alberto Mozo:
NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios. ADBIS (Short Papers and Workshops) 2015: 207-217 - [c9]José-Ramón Sánchez-Couso, Sandra Gómez Canaval, David Batard Lorenzo:
How to Search Optimal Solutions in Big Spaces with Networks of Bio-Inspired Processors. IWANN (1) 2015: 29-39 - [c8]Sandra Gómez Canaval, Alfonso Ortega de la Puente, Pablo Orgaz González:
Distributed Simulation of NEPs Based On-Demand Cloud Elastic Computation. IWANN (1) 2015: 40-54 - [c7]Karina Jiménez, Antonio Jiménez, Marina de la Cruz, Sandra Gómez Canaval:
How Nets of Evolutionary Processors (NEPs) Could be Simulated in a Distributed Way. IWANN (1) 2015: 55-68 - 2014
- [b1]Sandra Maria Gómez Canaval:
Marco computacional para la definición de un modelo bio-inspirado en la señalización celular. Technical University of Madrid, Spain, 2014 - [j1]Sandra Gómez Canaval, Victor Mitrana, Santiago Alonso Villaverde:
Transducers Based on Networks of Evolutionary Processors. J. Autom. Lang. Comb. 19(1-4): 93-105 (2014) - [c6]Fernando Arroyo, Sandra Gómez Canaval, Victor Mitrana, Stefan Popescu:
Networks of Polarized Evolutionary Processors Are Computationally Complete. LATA 2014: 101-112 - 2013
- [c5]Sandra Gómez Canaval, José-Ramón Sánchez-Couso, Fernando Arroyo:
Simulating Metabolic Processes Using an Architecture Based on Networks of Bio-inspired Processors. UCNC 2013: 255-256 - 2011
- [c4]David Moreno, Sandra Gómez Canaval, Juan Castellanos:
Suitability of Artificial Neural Networks for Designing LoC Circuits. IWANN (1) 2011: 307-314 - [i1]Fernando Arroyo, Sandra Gómez Canaval, Pedro C. Marijuán:
Engineering with Biological Systems. ERCIM News 2011(85): 29 (2011)
2000 – 2009
- 2009
- [c3]Sandra Maria Gómez Canaval, Abraham Gutierrez Rodriguez, Soledad Delgado Sanz:
Implementing Self-Organizing Neural Networks for P-Systems Communications Architectures using Microcontrollers. IICAI 2009: 630-647 - 2008
- [c2]Sandra Maria Gómez Canaval, Abraham Gutierrez Rodriguez, Santiago Alonso Villaverde:
Hardware Implementation of P Systems Using Microcontrollers. An Operating Environment for Implementing a Partially Parallel Distributed Architecture. SYNASC 2008: 489-495 - 2007
- [c1]Jorge Aurelio Tejedor, Abraham Gutiérrez, Luis Fernández, Fernando Arroyo, Ginés Bravo, Sandra Gómez Canaval:
Optimizing Evolution Rules Application and Communication Times in Membrane Systems Implementation. Workshop on Membrane Computing 2007: 298-319
Coauthor Index
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