Alejandro Cervantes - researchr alias

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Viewing Publication 1 - 21 from 21

2023

A survey on machine learning for recurring concept drifting data streamsAndrés L. Suárez-Cetrulo, David Quintana, Alejandro Cervantes. eswa, 213(Part):118934, 2023. [doi]

2020

Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicatorsSaúl Alonso-Monsalve, Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana. eswa, 149:113250, 2020. [doi]

IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problemsEmilio Martín, Alejandro Cervantes, Yago Saez, Pedro Isasi. eswa, 142, 2020. [doi]

2019

A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile DevicesAlejandro Baldominos, Alejandro Cervantes, Yago Saez, Pedro Isasi. sensors, 19(3):521, 2019. [doi]

Incremental Market Behavior Classification in Presence of Recurring ConceptsAndrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana. entropy, 21(1):25, 2019. [doi]

2018

Grid-enabled evolution strategies for large-scale home care crew schedulingFrancisco Luna, Alejandro Cervantes, Pedro Isasi, Juan F. Valenzuela-Valdés. cluster, 21(2):1261-1273, 2018. [doi]

2017

Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networksInés María Galván, José María Valls, Alejandro Cervantes, Ricardo Aler. isci, 418:363-382, 2017. [doi]

Clustering technique for large-scale home care crew scheduling problemsDavid Quintana, Alejandro Cervantes, Yago Sáez, Pedro Isasi. apin, 47(2):443-455, 2017. [doi]

An online classification algorithm for large scale data streams: iGNGSVMAndrés L. Suárez-Cetrulo, Alejandro Cervantes. ijon, 262:67-76, 2017. [doi]

2013

Learning from non-stationary data using a growing network of prototypesAlejandro Cervantes, Pedro Isasi, Caroline Gagné, Marc Parizeau. cec 2013: 2634-2641 [doi]

Large-Scale Home Care Crew Scheduling with a Parallel Evolutionary AlgorithmFrancisco Luna, Alejandro Cervantes, Pedro Isasi. 3pgcic 2013: 588-593 [doi]

2012

A Novel Multiobjective Formulation of the Robust Software Project Scheduling ProblemJ. Francisco Chicano, Alejandro Cervantes, Francisco Luna, Gustavo Recio. evoW 2012: 497-507 [doi]

2009

Michigan Particle Swarm Optimization for Prototype Reduction in Classification ProblemsAlejandro Cervantes, Inés María Galván, Pedro Isasi Viñuela. ngc, 27(3):239-257, 2009. [doi]

AMPSO: A New Particle Swarm Method for Nearest Neighborhood ClassificationAlejandro Cervantes, Inés María Galván, Pedro Isasi. tsmc, 39(5):1082-1091, 2009. [doi]

Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc NetworksSandra García, Cristóbal Luque, Alejandro Cervantes, Inés María Galván. iwann 2009: 728-735 [doi]

Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary AlgorithmsCarlos Segura, Alejandro Cervantes, Antonio J. Nebro, María Dolores Jaraíz-Simón, Eduardo Segredo, Sandra García, Francisco Luna, Juan Antonio Gómez Pulido, Gara Miranda, Cristóbal Luque, Enrique Alba, Miguel Ángel Vega Rodríguez, Coromoto León, Inés María Galván. emo 2009: 305-319 [doi]

2007

2005

A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithmAlejandro Cervantes, Inés María Galván, Pedro Isasi. cec 2005: 290-297 [doi]

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