Alejandro Cervantes

According to our database, Alejandro Cervantes authored at least 25 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Longitudinal Segmented Analysis of Internet Usage and Well-Being Among Older Adults.

Alejandro Cervantes, David Quintana, Yago Saez, Pedro Isasi

Int. J. Interact. Multim. Artif. Intell., 2024

Predicting Air Traffic Flow Management hotspots due to weather using Convolutional Neural Networks.

Iván Martínez, Javier García-Heras, Aniel Jardines, Alejandro Cervantes, Manuel Soler

Eng. Appl. Artif. Intell., 2024

Grammar evolution and symbolic regression for astrometric centering of Hubble Space Telescope images.

R. Sarmiento, M. de la Cruz, A. Ortega, T. M. Girard, Dana I. Casetti-Dinescu, Alejandro Cervantes, Roberto Baena Gallé

Proceedings of the IEEE/ACM International Workshop on Genetic Improvement, 2024

2023

A survey on machine learning for recurring concept drifting data streams.

Andrés L. Suárez-Cetrulo, David Quintana, Alejandro Cervantes

Expert Syst. Appl., 2023

2020

IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems.

Emilio Martín, Alejandro Cervantes, Yago Saez, Pedro Isasi

Expert Syst. Appl., 2020

Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators.

Saúl Alonso-Monsalve, Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana

Expert Syst. Appl., 2020

2019

A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices.

Alejandro Baldominos, Alejandro Cervantes, Yago Saez, Pedro Isasi

Sensors, 2019

Incremental Market Behavior Classification in Presence of Recurring Concepts.

Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana

Entropy, 2019

2018

Evaluating and Characterizing Incremental Learning from Non-Stationary Data.

Alejandro Cervantes, Christian Gagné, Pedro Isasi, Marc Parizeau

CoRR, 2018

Grid-enabled evolution strategies for large-scale home care crew scheduling.

Francisco Luna, Alejandro Cervantes, Pedro Isasi, Juan F. Valenzuela-Valdés

Clust. Comput., 2018

2017

Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks.

Inés María Galván, José María Valls, Alejandro Cervantes, Ricardo Aler

Inf. Sci., 2017

An online classification algorithm for large scale data streams: iGNGSVM.

Andrés L. Suárez-Cetrulo, Alejandro Cervantes

Neurocomputing, 2017

Clustering technique for large-scale home care crew scheduling problems.

David Quintana, Alejandro Cervantes, Yago Sáez, Pedro Isasi

Appl. Intell., 2017

2013

Learning from non-stationary data using a growing network of prototypes.

Alejandro Cervantes, Pedro Isasi, Caroline Gagné, Marc Parizeau

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Large-Scale Home Care Crew Scheduling with a Parallel Evolutionary Algorithm.

Francisco Luna, Alejandro Cervantes, Pedro Isasi

Proceedings of the Eighth International Conference on P2P, 2013

2012

A Novel Multiobjective Formulation of the Robust Software Project Scheduling Problem.

Francisco Chicano, Alejandro Cervantes, Francisco Luna, Gustavo Recio

Proceedings of the Applications of Evolutionary Computation, 2012

2009

AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification.

Alejandro Cervantes, Inés María Galván, Pedro Isasi

IEEE Trans. Syst. Man Cybern. Part B, 2009

Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems.

Alejandro Cervantes, Inés María Galván, Pedro Isasi Viñuela

New Gener. Comput., 2009

Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks.

Sandra García-Rodríguez, Cristóbal Luque, Alejandro Cervantes, Inés María Galván

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms.

Carlos Segura, Alejandro Cervantes, Antonio J. Nebro, María Dolores Jaraíz-Simón, Eduardo Segredo, Sandra García-Rodríguez, Francisco Luna, Juan Antonio Gómez Pulido, Gara Miranda, Cristóbal Luque, Enrique Alba, Miguel Ángel Vega Rodríguez, Coromoto León, Inés María Galván

Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

2007

Building Nearest Prototype Classifiers Using a Michigan Approach PSO.

Alejandro Cervantes, Inés María Galván, Pedro Isasi

Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

An Adaptive Michigan Approach PSO for Nearest Prototype Classification.

Alejandro Cervantes, Inés María Galván, Pedro Isasi

Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs.

Enrique Alba, Alejandro Cervantes, J. A. Gómez, Pedro Isasi, M. D. Jaraíz, Coromoto León, Gabriel Luque, Francisco Luna, Gara Miranda, Antonio J. Nebro, Raúl Pérez, Carlos Segura

Proceedings of the Computer Aided Systems Theory, 2007

Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks.

R. Perez-Perez, Cristóbal Luque, Alejandro Cervantes, Pedro Isasi

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005

A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm.

Alejandro Cervantes, Inés María Galván, Pedro Isasi

Proceedings of the IEEE Congress on Evolutionary Computation, 2005