Juan A. Aledo

Orcid: 0000-0003-1786-8087

Affiliations:
  • University of Castilla-La Mancha, Spain


According to our database1, Juan A. Aledo authored at least 50 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Efficient ensembles of distance-based label ranking trees.
Expert Syst. J. Knowl. Eng., April, 2024

FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023
Multi-dimensional Bayesian network classifiers for partial label ranking.
Int. J. Approx. Reason., September, 2023

Pairwise learning for the partial label ranking problem.
Pattern Recognit., August, 2023

Symmetrizable Boolean networks.
Inf. Sci., May, 2023

2022
Factual and Counterfactual Explanations in Fuzzy Classification Trees.
IEEE Trans. Fuzzy Syst., 2022

Enumerating periodic orbits in sequential dynamical systems over graphs.
J. Comput. Appl. Math., 2022

Fixed points in generalized parallel and sequential dynamical systems induced by a minterm or maxterm Boolean functions.
J. Comput. Appl. Math., 2022

Integrating Bayesian network classifiers to deal with the partial label ranking problem.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021
A highly scalable algorithm for weak rankings aggregation.
Inf. Sci., 2021

Efficient and accurate structural fusion of Bayesian networks.
Inf. Fusion, 2021

Learning decision trees for the partial label ranking problem.
Int. J. Intell. Syst., 2021

Mixture-Based Probabilistic Graphical Models for the Label Ranking Problem.
Entropy, 2021

Existence, coexistence and uniqueness of fixed points in parallel and sequential dynamical systems over directed graphs.
Commun. Nonlinear Sci. Numer. Simul., 2021

Mixture-Based Probabilistic Graphical Models for the Partial Label Ranking Problem.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2020
Attractors and transient in sequential dynamical systems.
Int. J. Comput. Math., 2020

Counting Periodic Points in Parallel Graph Dynamical Systems.
Complex., 2020

Economic modelling of robotic disassembly in end-of-life product recovery for remanufacturing.
Comput. Ind. Eng., 2020

Averaging-Based Ensemble Methods for the Partial Label Ranking Problem.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019
Machine learning from crowds: A systematic review of its applications.
WIREs Data Mining Knowl. Discov., 2019

Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering.
Prog. Artif. Intell., 2019

spark-crowd: A Spark Package for Learning from Crowdsourced Big Data.
J. Mach. Learn. Res., 2019

Approaching the rank aggregation problem by local search-based metaheuristics.
J. Comput. Appl. Math., 2019

Predecessors and Garden-of-Eden configurations in parallel dynamical systems on maxterm and minterm Boolean functions.
J. Comput. Appl. Math., 2019

Predecessors Existence Problems and Gardens of Eden in Sequential Dynamical Systems.
Complex., 2019

Dynamical attraction in parallel network models.
Appl. Math. Comput., 2019

Solution to the predecessors and Gardens-of-Eden problems for synchronous systems over directed graphs.
Appl. Math. Comput., 2019

CiDAEN: An Online Data Science Course.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2019

Structural Fusion/Aggregation of Bayesian Networks via Greedy Equivalence Search Learning Algorithm.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

A Probabilistic Graphical Model-Based Approach for the Label Ranking Problem.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

2018
Consensus-based journal rankings: A complementary tool for bibliometric evaluation.
J. Assoc. Inf. Sci. Technol., 2018

Maximum number of periodic orbits in parallel dynamical systems.
Inf. Sci., 2018

Approaching rank aggregation problems by using evolution strategies: The case of the optimal bucket order problem.
Eur. J. Oper. Res., 2018

CGLAD: Using GLAD in Crowdsourced Large Datasets.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017
On periods and equilibria of computational sequential systems.
Inf. Sci., 2017

Tackling the supervised label ranking problem by bagging weak learners.
Inf. Fusion, 2017

Utopia in the solution of the Bucket Order Problem.
Decis. Support Syst., 2017

Partial evaluation in Rank Aggregation Problems.
Comput. Oper. Res., 2017

On the Periods of Parallel Dynamical Systems.
Complex., 2017

2016
Using metaheuristic algorithms for parameter estimation in generalized Mallows models.
Appl. Soft Comput., 2016

Using extension sets to aggregate partial rankings in a flexible setting.
Appl. Math. Comput., 2016

FSS-OBOP: Feature subset selection guided by a bucket order consensus ranking.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Parallel Dynamical Systems over Graphs and Related Topics: A Survey.
J. Appl. Math., 2015

2013
Parallel discrete dynamical systems on independent local functions.
J. Comput. Appl. Math., 2013

Parallel dynamical systems over special digraph classes.
Int. J. Comput. Math., 2013

Updating method for the computation of orbits in parallel and sequential dynamical systems.
Int. J. Comput. Math., 2013

Tackling the rank aggregation problem with evolutionary algorithms.
Appl. Math. Comput., 2013

Computing the Consensus Permutation in Mallows Distribution by Using Genetic Algorithms.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

2012
Parallel discrete dynamical systems on maxterm and minterm Boolean functions.
Math. Comput. Model., 2012

Parallel dynamical systems over directed dependency graphs.
Appl. Math. Comput., 2012


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