A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm. - Alejandro Cervantes; Inés María Galván; Pedro Isasi (Congress on Evolutionary Computation, 2005)

Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks. - R. Perez-Perez; Cristóbal Luque; Alejandro Cervantes; Pedro Isasi (IEEE Congress on Evolutionary Computation, 2007)

Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs. - Enrique Alba 001; Alejandro Cervantes; J. A. Gómez; Pedro Isasi; M. D. Jaraíz; Coromoto León; Gabriel Luque; Francisco Luna 001; Gara Miranda; Antonio J. Nebro; Raúl Pérez; Carlos Segura (EUROCAST, 2007)

An Adaptive Michigan Approach PSO for Nearest Prototype Classification. - Alejandro Cervantes; Inés María Galván; Pedro Isasi (IWINAC (2), 2007)

Building Nearest Prototype Classifiers Using a Michigan Approach PSO. - Alejandro Cervantes; Inés María Galván; Pedro Isasi (SIS, 2007)

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 001; Juan Antonio Gómez Pulido; Gara Miranda; Cristóbal Luque; Enrique Alba 001; Miguel Ángel Vega Rodríguez; et al. (EMO, 2009)

Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks. - Sandra García-Rodríguez; Cristóbal Luque; Alejandro Cervantes; Inés María Galván (IWANN (1), 2009)

Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems. - Alejandro Cervantes; Inés María Galván; Pedro Isasi Viñuela (New Gener. Comput., 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)

A Novel Multiobjective Formulation of the Robust Software Project Scheduling Problem. - Francisco Chicano; Alejandro Cervantes; Francisco Luna 001; Gustavo Recio (EvoApplications, 2012)

Large-Scale Home Care Crew Scheduling with a Parallel Evolutionary Algorithm. - Francisco Luna 001; Alejandro Cervantes; Pedro Isasi (3PGCIC, 2013)

Learning from non-stationary data using a growing network of prototypes. - Alejandro Cervantes; Pedro Isasi; Caroline Gagné; Marc Parizeau (IEEE Congress on Evolutionary Computation, 2013)

Clustering technique for large-scale home care crew scheduling problems. - David Quintana; Alejandro Cervantes; Yago Sáez; Pedro Isasi (Appl. Intell., 2017)

An online classification algorithm for large scale data streams: iGNGSVM. - Andrés L. Suárez-Cetrulo; Alejandro Cervantes (Neurocomputing, 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)

Grid-enabled evolution strategies for large-scale home care crew scheduling. - Francisco Luna 001; Alejandro Cervantes; Pedro Isasi; Juan F. Valenzuela-Valdés (Clust. Comput., 2018)

Evaluating and Characterizing Incremental Learning from Non-Stationary Data. - Alejandro Cervantes; Christian Gagné 001; Pedro Isasi; Marc Parizeau (CoRR, 2018)

Incremental Market Behavior Classification in Presence of Recurring Concepts. - Andrés L. Suárez-Cetrulo; Alejandro Cervantes; David Quintana (Entropy, 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)

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)

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)

A survey on machine learning for recurring concept drifting data streams. - Andrés L. Suárez-Cetrulo; David Quintana; Alejandro Cervantes (Expert Syst. Appl., 2023)

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 (GI@ICSE, 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)

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)

Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review. - Andrés L. Suárez-Cetrulo; David Quintana; Alejandro Cervantes (Int. J. Interact. Multim. Artif. Intell., 2024)