Beatriz Prieto - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 20 from 20

2024

Vampire: A smart energy meter for synchronous monitoring in a distributed computer systemAntonio F. Díaz, Beatriz Prieto, Juan José Escobar, Thomas Andrew Lampert. jpdc, 184:104794, February 2024. [doi]

2023

Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous PlatformsJuan José Escobar, Francisco Rodríguez, Rukiye Savran Kiziltepe, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz 0001, Miguel Damas. iwann 2023: 505-516 [doi]

A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clustersJuan José Escobar, Francisco Rodríguez, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz 0001, Miguel Damas. computing, 105(11):2487-2510, November 2023. [doi]

2021

Mapping Grasslands in Mixed Grassland Ecoregion of Saskatchewan Using Big Remote Sensing Data and Machine LearningNasem Badreldin, Beatriz Prieto, Ryan Fisher. remotesensing, 13(24):4972, 2021. [doi]

2018

Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy CostOlga Valenzuela, Beatriz Prieto, Elvira Delgado-Márquez, Héctor Pomares, Ignacio Rojas. ucami 2018: 513 [doi]

2017

Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature SelectionJuan José Escobar, Julio Ortega, Jesús González 0001, Miguel Damas, Beatriz Prieto. evoW 2017: 773-788 [doi]

2016

Neural networks: An overview of early research, current frameworks and new challengesAlberto Prieto, Beatriz Prieto, Eva M. Ortigosa, Eduardo Ros, Francisco J. Pelayo, Julio Ortega, Ignacio Rojas. ijon, 214:242-268, 2016. [doi]

2015

PCA filtering and probabilistic SOM for network intrusion detectionEduardo de la Hoz Correa, Emiro de la Hoz Franco, Andrés Ortiz, Julio Ortega, Beatriz Prieto. ijon, 164:71-81, 2015. [doi]

Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignmentsFrancisco M. Ortuño Guzman, Olga Valenzuela, Beatriz Prieto, María José Saéz-Lara, Carolina Torres, Héctor Pomares, Ignacio Rojas. ijon, 164:123-136, 2015. [doi]

2010

Analysis of the Inducing Factors Involved in Stem Cell Differentiation Using Feature Selection Techniques, Support Vector Machines and Decision TreesA. M. Trujillo, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Beatriz Prieto, A. Aránega, Francisco Rodríguez, P. J. Álvarez-Aranega, J. C. Prados. ieaaie 2010: 294-305 [doi]

2009

2008

Visualizing the evolution of a web-based social networkBeatriz Prieto, Fernando Tricas, Juan Julián Merelo Guervós, Antonio Mora, Alberto Prieto. jnca, 31(4):677-698, 2008. [doi]

2007

Analyzing a Web-Based Social Network Using Kohonen s SOMBeatriz Prieto, Juan J. Merelo Guervós, Alberto Prieto, Fernando Tricas. iwann 2007: 911-918 [doi]

2005

Reconfigurable Hardware Implementation of Neural Networks for Humanoid LocomotionBeatriz Prieto, Javier de Lope Asiaín, Darío Maravall. iwinac 2005: 395-404 [doi]

2001

A stochastic and competitive network for the separation of sourcesCarlos García Puntonet, Ali Mansour, Manuel Rodríguez Álvarez, Beatriz Prieto, Ignacio Rojas Ruiz. esann 2001: 31-38 [doi]

1999

Separation of Speech Signals for Nonlinear MixturesCarlos García Puntonet, Manuel Rodríguez Álvarez, Alberto Prieto, Beatriz Prieto. iwann 1999: 665-673

1998

A neural learning algorithm for blind separation of sources based on geometric propertiesAlberto Prieto, Carlos García Puntonet, Beatriz Prieto. sigpro, 64(3):315-331, 1998. [doi]

Separation of sources in a class of post-nonlinear mixturesCarlos García Puntonet, Manuel Rodríguez Álvarez, Alberto Prieto, Beatriz Prieto. esann 1998: 321-326 [doi]

1997

A Competitive Neural Network for Blind Separation of Sources Based on Geometric PropertiesAlberto Prieto, Carlos García Puntonet, Beatriz Prieto, Manuel Rodríguez Álvarez. iwann 1997: 1095-1106

Sign in or sign up to see more results.

runs on WebDSL