Alejandro Cervantes

Orcid: 0000-0001-5442-953X

According to our database1, Alejandro Cervantes authored at least 22 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A survey on machine learning for recurring concept drifting data streams.
Expert Syst. Appl., 2023

2020
IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems.
Expert Syst. Appl., 2020

Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators.
Expert Syst. Appl., 2020

2019
A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices.
Sensors, 2019

Incremental Market Behavior Classification in Presence of Recurring Concepts.
Entropy, 2019

2018
Evaluating and Characterizing Incremental Learning from Non-Stationary Data.
CoRR, 2018

Grid-enabled evolution strategies for large-scale home care crew scheduling.
Clust. Comput., 2018

2017
Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks.
Inf. Sci., 2017

An online classification algorithm for large scale data streams: iGNGSVM.
Neurocomputing, 2017

Clustering technique for large-scale home care crew scheduling problems.
Appl. Intell., 2017

2013
Learning from non-stationary data using a growing network of prototypes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Large-Scale Home Care Crew Scheduling with a Parallel Evolutionary Algorithm.
Proceedings of the Eighth International Conference on P2P, 2013

2012
A Novel Multiobjective Formulation of the Robust Software Project Scheduling Problem.
Proceedings of the Applications of Evolutionary Computation, 2012

2009
AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems.
New Gener. Comput., 2009

Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks.
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.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

2007
Building Nearest Prototype Classifiers Using a Michigan Approach PSO.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

An Adaptive Michigan Approach PSO for Nearest Prototype Classification.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs.
Proceedings of the Computer Aided Systems Theory, 2007

Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005
A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005


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