Alejandro Cervantes

28 papers B 4C 1Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A growing concept history of recurring classifiers for high-frequency data streams. Neurocomputing Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana
2025	J	`jnl`	ProteuS: A Generative Approach for Simulating Concept Drift in Financial Markets. CoRR Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana
2024	—	`conf`	Grammar evolution and symbolic regression for astrometric centering of Hubble Space Telescope images. GI@ICSE Ricardo Sarmiento, M. de la Cruz, Alfonso Ortega, Terrence M. Girard, Dana I. Casetti-Dinescu, Alejandro Cervantes, Roberto Baena Gallé
2024	J	`jnl`	Longitudinal Segmented Analysis of Internet Usage and Well-Being Among Older Adults. Int. J. Interact. Multim. Artif. Intell. Alejandro Cervantes, David Quintana, Yago Saez, Pedro Isasi
2024	J	`jnl`	Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review. Int. J. Interact. Multim. Artif. Intell. Andrés L. Suárez-Cetrulo, David Quintana, Alejandro Cervantes
2024	J	`jnl`	Predicting Air Traffic Flow Management hotspots due to weather using Convolutional Neural Networks. Eng. Appl. Artif. Intell. Iván Martínez, Javier García-Heras, Aniel Jardines, Alejandro Cervantes, Manuel Soler
2023	J	`jnl`	A survey on machine learning for recurring concept drifting data streams. Expert Syst. Appl. Andrés L. Suárez-Cetrulo, David Quintana, Alejandro Cervantes
2020	J	`jnl`	Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators. Expert Syst. Appl. Saúl Alonso-Monsalve, Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana
2020	J	`jnl`	IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems. Expert Syst. Appl. Emilio Martín, Alejandro Cervantes, Yago Saez, Pedro Isasi
2019	J	`jnl`	A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices. Sensors Alejandro Baldominos, Alejandro Cervantes, Yago Saez, Pedro Isasi
2019	J	`jnl`	Incremental Market Behavior Classification in Presence of Recurring Concepts. Entropy Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana
2018	J	`jnl`	Evaluating and Characterizing Incremental Learning from Non-Stationary Data. CoRR Alejandro Cervantes, Christian Gagné, Pedro Isasi, Marc Parizeau
2018	J	`jnl`	Grid-enabled evolution strategies for large-scale home care crew scheduling. Clust. Comput. Francisco Luna, Alejandro Cervantes, Pedro Isasi, Juan F. Valenzuela-Valdés
2017	J	`jnl`	An online classification algorithm for large scale data streams: iGNGSVM. Neurocomputing Andrés L. Suárez-Cetrulo, Alejandro Cervantes
2017	J	`jnl`	Clustering technique for large-scale home care crew scheduling problems. Appl. Intell. David Quintana, Alejandro Cervantes, Yago Sáez, Pedro Isasi
2017	J	`jnl`	Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks. Inf. Sci. Inés María Galván, José María Valls, Alejandro Cervantes, Ricardo Aler
2013	—	`conf`	Large-Scale Home Care Crew Scheduling with a Parallel Evolutionary Algorithm. 3PGCIC Francisco Luna, Alejandro Cervantes, Pedro Isasi
2013	B	`conf`	Learning from non-stationary data using a growing network of prototypes. IEEE Congress on Evolutionary Computation Alejandro Cervantes, Pedro Isasi, Caroline Gagné, Marc Parizeau
2012	B	`conf`	A Novel Multiobjective Formulation of the Robust Software Project Scheduling Problem. EvoApplications Francisco Chicano, Alejandro Cervantes, Francisco Luna, Gustavo Recio
2009	J	`jnl`	AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification. IEEE Trans. Syst. Man Cybern. Part B Alejandro Cervantes, Inés María Galván, Pedro Isasi
2009	J	`jnl`	Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems. New Gener. Comput. Alejandro Cervantes, Inés María Galván, Pedro Isasi Viñuela
2009	—	`conf`	Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks. IWANN (1) Sandra García-Rodríguez, Cristóbal Luque, Alejandro Cervantes, Inés María Galván
2009	C	`conf`	Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms. EMO 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
2007	—	`conf`	An Adaptive Michigan Approach PSO for Nearest Prototype Classification. IWINAC (2) Alejandro Cervantes, Inés María Galván, Pedro Isasi
2007	—	`conf`	Building Nearest Prototype Classifiers Using a Michigan Approach PSO. SIS Alejandro Cervantes, Inés María Galván, Pedro Isasi
2007	—	`conf`	Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs. EUROCAST 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
2007	B	`conf`	Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks. IEEE Congress on Evolutionary Computation R. Perez-Perez, Cristóbal Luque, Alejandro Cervantes, Pedro Isasi
2005	B	`conf`	A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm. Congress on Evolutionary Computation Alejandro Cervantes, Inés María Galván, Pedro Isasi