Sandra Gómez Canaval

39 papers A* 1B 2C 1Journal 21Unranked 14

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A methodological framework for optimizing the energy consumption of deep neural networks: a case study of a cyber threat detector. Neural Comput. Appl. Amit Karamchandani, Alberto Mozo, Sandra Gómez Canaval, Antonio Pastor
2024	J	`jnl`	Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms. Knowl. Based Syst. Silvia Martín-Suazo, Jesús Morón-López, Stanislav Vakaruk, Amit Karamchandani, Juan Antonio Pascual Aguilar, Alberto Mozo, Sandra Gómez Canaval, Meritxell Vinyals, Juan Manuel Ortiz
2023	J	`jnl`	Data Augmentation techniques in time series domain: a survey and taxonomy. Neural Comput. Appl. Guillermo Iglesias, Edgar Talavera, Ángel González-Prieto, Alberto Mozo, Sandra Gómez Canaval
2023	J	`jnl`	Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case. Sensors Stanislav Vakaruk, Amit Karamchandani, Jesús Enrique Sierra-García, Alberto Mozo, Sandra Gómez Canaval, Antonio Pastor
2023	J	`jnl`	Using N-BEATS ensembles to predict automated guided vehicle deviation. Appl. Intell. Amit Karamchandani, Alberto Mozo, Stanislav Vakaruk, Sandra Gómez Canaval, Jesús Enrique Sierra-García, Antonio Pastor
2022	J	`jnl`	B5GEMINI: AI-Driven Network Digital Twin. Sensors Alberto Mozo, Amit Karamchandani, Sandra Gómez Canaval, Mario Sanz Rodrigo, José Ignacio Moreno, Antonio Pastor
2022	J	`jnl`	Data Augmentation techniques in time series domain: A survey and taxonomy. CoRR Edgar Talavera, Guillermo Iglesias, Ángel González-Prieto, Alberto Mozo, Sandra Gómez Canaval
2022	J	`jnl`	Dynamics of Fourier Modes in Torus Generative Adversarial Networks. CoRR Ángel González-Prieto, Alberto Mozo, Edgar Talavera, Sandra Gómez Canaval
2022	J	`jnl`	Improving the quality of generative models through Smirnov transformation. Inf. Sci. Ángel González-Prieto, Alberto Mozo, Sandra Gómez Canaval, Edgar Talavera
2021	J	`jnl`	Improving the quality of generative models through Smirnov transformation. CoRR Ángel González-Prieto, Alberto Mozo, Sandra Gómez Canaval, Edgar Talavera
2021	J	`jnl`	Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks. CoRR Alberto Mozo, Ángel González-Prieto, Antonio Pastor Perales, Sandra Gómez Canaval, Edgar Talavera
2020	J	`jnl`	A Linear Time Solution for N-Queens Problem Using Generalized Networks of Evolutionary Polarized Processors. Int. J. Found. Comput. Sci. Fernando Arroyo, Sandra Gómez Canaval, Karina Jiménez, Alfonso Ortega de la Puente
2020	J	`jnl`	Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning. IEEE Access Antonio Pastor, Alberto Mozo, Stanislav Vakaruk, Daniele Canavese, Diego R. López, Leonardo Regano, Sandra Gómez Canaval, Antonio Lioy
2019	—	`conf`	High Performance and Scalable Simulations of a Bio-inspired Computational Model. HPCS Sandra Gómez Canaval, Victor Mitrana, Mihaela Paun, Stanislav Vararuk
2019	J	`jnl`	Scalable Prediction of Service-Level Events in Datacenter Infrastructure Using Deep Neural Networks. IEEE Access Alberto Mozo, Itai Segall, Udi Margolin, Sandra Gómez Canaval
2019	—	`conf`	Ultra-Scalable Simulations of Networks of Polarized Evolutionary Processors. ICAAI Sandra Gómez Canaval, Victor Mitrana, Mihaela Paun, Stanislav Vararuk
2018	J	`jnl`	Iterative column subset selection. Knowl. Inf. Syst. Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo
2018	—	`conf`	Towards Probabilistic Networks of Polarized Evolutionary Processors. HPCS Fernando Arroyo, Sandra Gómez Canaval, Victor Mitrana, Mihaela Paun, José-Ramón Sánchez-Couso
2017	B	`conf`	Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure. ESANN Bruno Ordozgoiti, Alberto Mozo, Sandra Gómez Canaval, Udi Margolin, Elisha J. Rosensweig, Itai Segall
2017	J	`jnl`	On the computational power of networks of polarized evolutionary processors. Inf. Comput. Fernando Arroyo, Sandra Gómez Canaval, Victor Mitrana, Stefan Popescu
2017	—	`conf`	Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection. IWANN (2) Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo
2017	J	`jnl`	Transducers based on networks of polarized evolutionary processors. Theor. Comput. Sci. Fernando Arroyo, Sandra Gómez Canaval, Victor Mitrana, José-Ramón Sánchez-Couso
2016	A*	`conf`	A Fast Iterative Algorithm for Improved Unsupervised Feature Selection. ICDM Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo
2016	—	`conf`	Feature Ranking and Selection for Big Data Sets. ADBIS (Short Papers and Workshops) Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo
2016	J	`jnl`	Networks of splicing processors with evaluation sets as optimization problems solvers. Inf. Sci. Sandra Gómez Canaval, Victor Mitrana, José-Ramón Sánchez-Couso
2016	B	`conf`	Parallelized unsupervised feature selection for large-scale network traffic analysis. ESANN Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo
2016	J	`jnl`	Solving optimization problems by using networks of evolutionary processors with quantitative filtering. J. Comput. Sci. Sandra Gómez Canaval, José-Ramón Sánchez-Couso, Meritxell Vinyals
2016	—	`conf`	Towards Quantitative Networks of Polarized Evolutionary Processors: A Bio-Inspired Computational Model with Numerical Evaluations. PAAMS (Special Sessions) Sandra Gómez Canaval, Karina Jiménez, Alfonso Ortega de la Puente, Stanislav Vakaruk
2015	—	`conf`	Distributed Simulation of NEPs Based On-Demand Cloud Elastic Computation. IWANN (1) Sandra Gómez Canaval, Alfonso Ortega de la Puente, Pablo Orgaz González
2015	—	`conf`	How Nets of Evolutionary Processors (NEPs) Could be Simulated in a Distributed Way. IWANN (1) Karina Jiménez, Antonio Jiménez, Marina de la Cruz, Sandra Gómez Canaval
2015	—	`conf`	How to Search Optimal Solutions in Big Spaces with Networks of Bio-Inspired Processors. IWANN (1) José-Ramón Sánchez-Couso, Sandra Gómez Canaval, David Batard Lorenzo
2015	—	`conf`	Massively Parallel Unsupervised Feature Selection on Spark. ADBIS (Short Papers and Workshops) Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo
2015	—	`conf`	NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios. ADBIS (Short Papers and Workshops) Sandra Gómez Canaval, Bruno Ordozgoiti Rubio, Alberto Mozo
2014	C	`conf`	Networks of Polarized Evolutionary Processors Are Computationally Complete. LATA Fernando Arroyo, Sandra Gómez Canaval, Victor Mitrana, Stefan Popescu
2014	J	`jnl`	Transducers Based on Networks of Evolutionary Processors. J. Autom. Lang. Comb. Sandra Gómez Canaval, Victor Mitrana, Santiago Alonso Villaverde
2013	—	`conf`	Simulating Metabolic Processes Using an Architecture Based on Networks of Bio-inspired Processors. UCNC Sandra Gómez Canaval, José-Ramón Sánchez-Couso, Fernando Arroyo
2011	J	`jnl`	Engineering with Biological Systems. ERCIM News Fernando Arroyo, Sandra Gómez Canaval, Pedro C. Marijuán
2011	—	`conf`	Suitability of Artificial Neural Networks for Designing LoC Circuits. IWANN (1) David Moreno, Sandra Gómez Canaval, Juan Castellanos
2007	—	`conf`	Optimizing Evolution Rules Application and Communication Times in Membrane Systems Implementation. Workshop on Membrane Computing Jorge Aurelio Tejedor, Abraham Gutiérrez, Luis Fernández, Fernando Arroyo, Ginés Bravo, Sandra Gómez Canaval