Články se zplnomocněním k veřejnému přístupu - Alexander MendiburuDalší informace
Nedostupné nikde: 33
A distance-based ranking model estimation of distribution algorithm for the flowshop scheduling problem
J Ceberio, E Irurozki, A Mendiburu, JA Lozano
IEEE Transactions on Evolutionary Computation 18 (2), 286-300, 2013
Zplnomocnění: Government of Spain
Reliable early classification of time series based on discriminating the classes over time
U Mori, A Mendiburu, E Keogh, JA Lozano
Data mining and knowledge discovery 31, 233-263, 2017
Zplnomocnění: Government of Spain
Similarity measure selection for clustering time series databases
U Mori, A Mendiburu, JA Lozano
IEEE Transactions on Knowledge and Data Engineering 28 (1), 181-195, 2015
Zplnomocnění: Government of Spain
Introducing the mallows model on estimation of distribution algorithms
J Ceberio, A Mendiburu, JA Lozano
Neural Information Processing: 18th International Conference, ICONIP 2011 …, 2011
Zplnomocnění: Government of Spain
A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms
J Ceberio, E Irurozki, A Mendiburu, JA Lozano
Computational Optimization and Applications 62 (2), 545-564, 2015
Zplnomocnění: Government of Spain
In-depth analysis of SVM kernel learning and its components
I Roman, R Santana, A Mendiburu, JA Lozano
Neural Computing and Applications 33 (12), 6575-6594, 2021
Zplnomocnění: Government of Spain
Bayesian optimization for parameter tuning in evolutionary algorithms
I Roman, J Ceberio, A Mendiburu, JA Lozano
2016 IEEE Congress on Evolutionary Computation (CEC), 4839-4845, 2016
Zplnomocnění: Government of Spain
Hill-Climbing algorithm: let's go for a walk before finding the optimum
L Hernando, A Mendiburu, JA Lozano
2018 IEEE Congress on Evolutionary Computation (CEC), 1-7, 2018
Zplnomocnění: Government of Spain
On the limits of effectiveness in estimation of distribution algorithms
C Echegoyen, Q Zhang, A Mendiburu, R Santana, JA Lozano
2011 IEEE Congress of Evolutionary Computation (CEC), 1573-1580, 2011
Zplnomocnění: Government of Spain
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations
U Garciarena, A Mendiburu, R Santana
Neural Networks 132, 281-296, 2020
Zplnomocnění: Government of Spain
Modeling the availability of Cassandra
C Perez-Miguel, A Mendiburu, J Miguel-Alonso
Journal of Parallel and Distributed Computing 86, 29-44, 2015
Zplnomocnění: Government of Spain
Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing
R Sagarna, A Mendiburu, I Inza, JA Lozano
Information Sciences 258, 122-139, 2014
Zplnomocnění: Government of Spain
Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms
R Santana, A Mendiburu, N Zaitlen, E Eskin, JA Lozano
Artificial Intelligence in Medicine 50 (3), 193-201, 2010
Zplnomocnění: US National Institutes of Health
Are we generating instances uniformly at random?
J Ceberio, A Mendiburu, JA Lozano
2017 IEEE Congress on Evolutionary Computation (CEC), 1645-1651, 2017
Zplnomocnění: Government of Spain
Automatic design of deep neural networks applied to image segmentation problems
R Lima, A Pozo, A Mendiburu, R Santana
Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of …, 2021
Zplnomocnění: Government of Spain
Fast fitness improvements in estimation of distribution algorithms using belief propagation
A Mendiburu, R Santana, JA Lozano
Markov networks in evolutionary computation, 141-155, 2012
Zplnomocnění: Government of Spain
Mixtures of generalized Mallows models for solving the quadratic assignment problem
J Ceberio, R Santana, A Mendiburu, JA Lozano
2015 IEEE Congress on Evolutionary Computation (CEC), 2050-2057, 2015
Zplnomocnění: Government of Spain
A Symmetric grammar approach for designing segmentation models
RHR Lima, A Pozo, A Mendiburu, R Santana
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
Zplnomocnění: Government of Spain
A square lattice probability model for optimising the graph partitioning problem
J Ceberio, A Mendiburu, JA Lozano
2017 IEEE Congress on evolutionary computation (CEC), 1629-1636, 2017
Zplnomocnění: Government of Spain
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow
U Garciarena, R Santana, A Mendiburu
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2288-2295, 2020
Zplnomocnění: Government of Spain
Informace o publikování a financování jsou automaticky vybírány počítačovým programem