Ekhine Irurozki

I am a postdocoral fellow in the Data Science department at the Basque Center for Applied Mathematics (BCAM). I obtained mu PhD at the Basque Country University, where I received the Extraordinary Doctoral Award. I am interested in statistical problems for permutation data, optimization and machine learning problems.



Publications

Journals

  • Mallows and Generalized Mallows Model for Matchings. Bernoulli (accepted for publication), Irurozki, E., Calvo, B. and Lozano, J. A. 2017. PDF

  • Sampling and Learning the Mallows and Generalized Mallows Models under the Cayley Distance. Methodology and Computing in Applied Probability, 20(1), 1--35. Irurozki, E., Calvo, B. and Lozano, J. A. 2016. PDF

  • PerMallows: An R Package for Permutations, Mallows and Generalized Mallows Models. Journal of Statistical Software, 71(1), 1--30. Irurozki, E., Calvo, B. and Lozano, J. A. 2016. PDF CRAN GitHub

  • A Review of Distances for the Mallows and Generalized Mallows Estimation of Distribution Algorithms. Journal of Computational Optimization and Applications, 62(2), 545--564. Ceberio, J., Irurozki, E., Mendiburu, A. and Lozano, J. A. 2014.

  • A Distance-based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem. IEEE Trans. on Evolutionary Computation, 18(2), 286--300. Ceberio, J., Irurozki, E., Mendiburu, A. and Lozano, J. A. 2014.

  • A Review on Estimation of Distribution Algorithms in Permutation-based Combinatorial Optimization Problems. Progress in Artificial Intelligence, 1(1), 103--117. Ceberio, J., Irurozki, E., Mendiburu, A. and Lozano, J. A. 2012.

  • A Preprocessing Procedure for Haplotype Inference by Pure Parsimony. IEEE/ACM Trans. on Computational Biology and Bioinformatics, 8(5), 1183--1195 . Irurozki, E., Calvo, B. and Lozano, J. A. 2011.

  • Mineria de Datos. Un Paseo por la Geometria: curso 2008-2009, 14-157. Lozano, J. A. and Irurozki E. 2009.

Under review

  • perm mateda: A matlab toolbox of estimation of distribution algorithms for permutation-based combinatorial optimization problems Submitted to Transactions on Mathematical Software (TOMS). Irurozki, E., Ceberio, J., Santamaria, J., Santana, R. and Mendiburu, A. 2016.

Conferences

  • Mallows Model under the Ulam Distance: a Feasible Combinatorial Approach. In Neural Information Processing System (NIPS), Analysis on Rank Data workshop. Irurozki, E., Ceberio, J., Calvo, B. and Lozano, J. A. 2014. PDF

  • Extending Distance-based Ranking Models in Estimation of Distribution Algorithms. In Proceedings of the 2014 IEEE Congress on Evolutionary Computation. Ceberio, J., Irurozki, E., Mendiburu, A. and Lozano, J. A. 2014.

  • Learning Probability Distributions over Permutations by means of Fourier Coefficients In Canadian Conf. on Artificial Intelligence, 6657, 186--191. Irurozki, E., Calvo, B. and Lozano, J. A. 2011.

  • A New Preprocessing Procedure for the Haplotype Inference Problem. In IEEE Congress on Evolutionary Computation, 1320--1327. Irurozki, E., Calvo, B. and Lozano, J. A. 2009.

Software

PerMallows (CRAN and GitHub) includes functions to work with the Mallows and Generalized Mallows Models. The considered distances are Kendall's-tau, Cayley, Hamming and Ulam and it includes functions for making inference, sampling and learning such distributions, some of which are novel in the literature. As a by-product, PerMallows also includes operations for permutations, paying special attention to those related with the Kendall's-tau, Cayley, Ulam and Hamming distances. It is also possible to generate random permutations at a given distance, or with a given number of inversions, or cycles, or fixed points or even with a given length on LIS (longest increasing subsequence).


random_perm_inversion generates a random permutation at a Kendall's-tau distance from the identity (i.e., with a given number of inversions).


PyRoad partitions the roads of a road network into homogeneous segments. It generates a data base of the segments and an interactive map. The road data can be read from OpenStreetMap.