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ORCIDAlejandro Cervantes
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2020 – today
- 2024
[j13]Iván Martínez
, Javier García-Heras, Aniel Jardines, Alejandro Cervantes, Manuel Soler:
Predicting Air Traffic Flow Management hotspots due to weather using Convolutional Neural Networks. Eng. Appl. Artif. Intell. 133: 108014 (2024)- [j12]Alejandro Cervantes, David Quintana, Yago Saez, Pedro Isasi:
Longitudinal Segmented Analysis of Internet Usage and Well-Being Among Older Adults. Int. J. Interact. Multim. Artif. Intell. 8(6): 168 (2024) - [c11]R. Sarmiento, M. de la Cruz, A. Ortega, T. M. Girard, Dana I. Casetti-Dinescu, Alejandro Cervantes, R. Baena-Galle:
Grammar evolution and symbolic regression for astrometric centering of Hubble Space Telescope images. GI@ICSE 2024: 13-20 - 2023
- [j11]Andrés L. Suárez-Cetrulo, David Quintana, Alejandro Cervantes:
A survey on machine learning for recurring concept drifting data streams. Expert Syst. Appl. 213(Part): 118934 (2023) - 2020
- [j10]Emilio Martín, Alejandro Cervantes, Yago Saez, Pedro Isasi:
IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems. Expert Syst. Appl. 142 (2020) - [j9]Saúl Alonso-Monsalve, Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana:
Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators. Expert Syst. Appl. 149: 113250 (2020)
2010 – 2019
- 2019
- [j8]Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana:
Incremental Market Behavior Classification in Presence of Recurring Concepts. Entropy 21(1): 25 (2019) - [j7]Alejandro Baldominos, Alejandro Cervantes, Yago Saez, Pedro Isasi:
A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices. Sensors 19(3): 521 (2019) - 2018
- [j6]Francisco Luna, Alejandro Cervantes, Pedro Isasi, Juan F. Valenzuela-Valdés:
Grid-enabled evolution strategies for large-scale home care crew scheduling. Clust. Comput. 21(2): 1261-1273 (2018) - [i1]Alejandro Cervantes, Christian Gagné, Pedro Isasi, Marc Parizeau:
Evaluating and Characterizing Incremental Learning from Non-Stationary Data. CoRR abs/1806.06610 (2018) - 2017
- [j5]David Quintana, Alejandro Cervantes, Yago Sáez, Pedro Isasi:
Clustering technique for large-scale home care crew scheduling problems. Appl. Intell. 47(2): 443-455 (2017) - [j4]Andrés L. Suárez-Cetrulo, Alejandro Cervantes:
An online classification algorithm for large scale data streams: iGNGSVM. Neurocomputing 262: 67-76 (2017) - [j3]Inés María Galván, José María Valls, Alejandro Cervantes, Ricardo Aler:
Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks. Inf. Sci. 418: 363-382 (2017) - 2013
- [c10]Francisco Luna, Alejandro Cervantes, Pedro Isasi:
Large-Scale Home Care Crew Scheduling with a Parallel Evolutionary Algorithm. 3PGCIC 2013: 588-593 - [c9]Alejandro Cervantes, Pedro Isasi, Caroline Gagné, Marc Parizeau:
Learning from non-stationary data using a growing network of prototypes. IEEE Congress on Evolutionary Computation 2013: 2634-2641 - 2012
- [c8]Francisco Chicano, Alejandro Cervantes, Francisco Luna, Gustavo Recio:
A Novel Multiobjective Formulation of the Robust Software Project Scheduling Problem. EvoApplications 2012: 497-507
2000 – 2009
- 2009
- [j2]Alejandro Cervantes, Inés María Galván, Pedro Isasi Viñuela:
Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems. New Gener. Comput. 27(3): 239-257 (2009) - [j1]Alejandro Cervantes, Inés María Galván, Pedro Isasi:
AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification. IEEE Trans. Syst. Man Cybern. Part B 39(5): 1082-1091 (2009) - [c7]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:
Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms. EMO 2009: 305-319 - [c6]Sandra García-Rodríguez, Cristóbal Luque, Alejandro Cervantes, Inés María Galván:
Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks. IWANN (1) 2009: 728-735 - 2007
- [c5]R. Perez-Perez, Cristóbal Luque, Alejandro Cervantes, Pedro Isasi:
Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks. IEEE Congress on Evolutionary Computation 2007: 3142-3149 - [c4]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:
Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs. EUROCAST 2007: 755-763 - [c3]Alejandro Cervantes, Inés María Galván, Pedro Isasi:
An Adaptive Michigan Approach PSO for Nearest Prototype Classification. IWINAC (2) 2007: 287-296 - [c2]Alejandro Cervantes, Inés María Galván, Pedro Isasi:
Building Nearest Prototype Classifiers Using a Michigan Approach PSO. SIS 2007: 135-140 - 2005
- [c1]Alejandro Cervantes, Inés María Galván, Pedro Isasi:
A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm. Congress on Evolutionary Computation 2005: 290-297
Coauthor Index
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