Ekhine Irurozki
Ekhine Irurozki
Telecom Paris
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Cited by
Cited by
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
A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems
J Ceberio, E Irurozki, A Mendiburu, JA Lozano
Progress in Artificial Intelligence 1, 103-117, 2012
PerMallows: An R package for Mallows and generalized Mallows models
E Irurozki, B Calvo, JA Lozano
Journal of Statistical Software 71 (12), 1-30, 2019
Sampling and learning the Mallows and Generalized Mallows models under the Cayley distance
E Irurozki, B Calvo Molinos, JA Lozano Alonso
Methodology and Computing in Applied Probability (DOI: 10.1007/s11009-016 …, 2016
Mallows and Generalized Mallows Model for Matchings
E Irurozki, B Calvo Molinos, JA Lozano Alonso
Bernoulli, 2019
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
What are the best systems? new perspectives on nlp benchmarking
P Colombo, N Noiry, E Irurozki, S Clémençon
Advances in Neural Information Processing Systems 35, 26915-26932, 2022
Extending distance-based ranking models in estimation of distribution algorithms
J Ceberio, E Irurozki, A Mendiburu, JA Lozano
2014 IEEE Congress on Evolutionary Computation (CEC), 2459-2466, 2014
Sampling and learning distance-based probability models for permutation spaces
E Irurozki
Universidad del País Vasco-Euskal Herriko Unibertsitatea, 2014
Concentric mixtures of Mallows models for top- rankings: sampling and identifiability
F Collas, E Irurozki
International Conference on Machine Learning, 2079-2088, 2021
Kernels of mallows models under the hamming distance for solving the quadratic assignment problem
E Arza, A Perez, E Irurozki, J Ceberio
Swarm and Evolutionary Computation 59, 100740, 2020
Learning probability distributions over permutations by means of Fourier coefficients
E Irurozki, B Calvo, JA Lozano
Advances in Artificial Intelligence: 24th Canadian Conference on Artificial …, 2011
Statistical depth functions for ranking distributions: definitions, statistical learning and applications
M Goibert, S Clémençon, E Irurozki, P Mozharovskyi
arXiv preprint arXiv:2201.08105, 2022
A preprocessing procedure for haplotype inference by pure parsimony
E Irurozki, B Calvo, JA Lozano
IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (5 …, 2010
Probabilistic modeling on rankings
JA Lozano, E Irurozki
Asian Conference on Machine Learning, 4-6, 2012
Algorithm 989: perm_mateda: a matlab toolbox of estimation of distribution algorithms for permutation-based combinatorial optimization problems
E Irurozki, J Ceberio, J Santamaria, R Santana, A Mendiburu
ACM Transactions on Mathematical Software (TOMS) 44 (4), 1-13, 2018
Mallows model under the ulam distance: a feasible combinatorial approach
E Irurozki, J Ceberio, B Calvo, JA Lozano
Workshop Book 2014 NIPS Conference, Montreal, Quebec, Canada, 2014
Unbalanced mallows models for optimizing expensive black-box permutation problems
E Irurozki, M López-Ibáñez
Proceedings of the Genetic and Evolutionary Computation Conference, 225-233, 2021
An adaptive neuroevolution-based hyperheuristic
E Arza, J Ceberio, A Pérez, E Irurozki
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
Comparing two samples through stochastic dominance: A graphical approach
E Arza, J Ceberio, E Irurozki, A Pérez
Journal of Computational and Graphical Statistics 32 (2), 551-566, 2023
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