| 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 | 138 | 2012 |
| 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 | 130 | 2013 |
| 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 | 62* | 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 | 40 | 2016 |
| Mallows and Generalized Mallows Model for Matchings E Irurozki, B Calvo Molinos, JA Lozano Alonso Bernoulli, 2019 | 25* | 2019 |
| Sampling and learning distance-based probability models for permutation spaces E Irurozki PhD Thesis, 2014 | 24 | 2014 |
| 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, 545-564, 2015 | 23 | 2015 |
| 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 | 23 | 2014 |
| 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 | 9 | 2010 |
| 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 | 8 | 2011 |
| What are the best systems? new perspectives on nlp benchmarking P Colombo, N Noiry, E Irurozki, S Clémençon arXiv preprint arXiv:2202.03799, 2022 | 7 | 2022 |
| 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 | 7 | 2020 |
| Concentric mixtures of Mallows models for top- rankings: sampling and identifiability F Collas, E Irurozki International Conference on Machine Learning, 2079-2088, 2021 | 6 | 2021 |
| Probabilistic modeling on rankings JA Lozano, E Irurozki Asian Conference on Machine Learning, 4-6, 2012 | 6 | 2012 |
| 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 | 5 | 2022 |
| An adaptive neuroevolution-based hyperheuristic E Arza, J Ceberio, A Pérez, E Irurozki Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 5 | 2020 |
| 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 | 5 | 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 | 5 | 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 | 4 | 2021 |
| Alternative representations for codifying solutions in permutation-based problems M Malagon, E Irurozki, J Ceberio 2020 IEEE congress on evolutionary computation (CEC), 1-8, 2020 | 3 | 2020 |
Jose A. LozanoBasque Center for Applied Mathematics (BCAM), University of the Basque Country UPV/EHUVerified email at ehu.eus
