A new preprocessing procedure for the haplotype inference problem. - Ekhine Irurozki; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2009)

Learning Probability Distributions over Permutations by Means of Fourier Coefficients. - Ekhine Irurozki; Borja Calvo; José Antonio Lozano 001 (Canadian AI, 2011)

A Preprocessing Procedure for Haplotype Inference by Pure Parsimony. - Ekhine Irurozki; Borja Calvo; José Antonio Lozano 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems. - Josu Ceberio; Ekhine Irurozki; Alexander Mendiburu; José Antonio Lozano 001 (Prog. Artif. Intell., 2012)

Extending distance-based ranking models in estimation of distribution algorithms. - Josu Ceberio; Ekhine Irurozki; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2014)

A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem. - Josu Ceberio; Ekhine Irurozki; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Trans. Evol. Comput., 2014)

A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms. - Josu Ceberio; Ekhine Irurozki; Alexander Mendiburu; José Antonio Lozano 001 (Comput. Optim. Appl., 2015)

Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems. - Ekhine Irurozki; Josu Ceberio; Josean Santamaria; Roberto Santana 001; Alexander Mendiburu (ACM Trans. Math. Softw., 2018)

Approaching the quadratic assignment problem with kernels of mallows models under the hamming distance. - Etor Arza; Josu Ceberio; Aritz Pérez; Ekhine Irurozki (GECCO (Companion), 2019)

Online Ranking with Concept Drifts in Streaming Data. - Ekhine Irurozki; Jesus L. Lobo; Aritz Pérez; Javier Del Ser (CoRR, 2019)

Alternative Representations for Codifying Solutions in Permutation-Based Problems. - Mikel Malagon; Ekhine Irurozki; Josu Ceberio (CEC, 2020)

An adaptive neuroevolution-based hyperheuristic. - Etor Arza; Josu Ceberio; Aritz Pérez; Ekhiñe Irurozki (GECCO Companion, 2020)

Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. - Etor Arza; Aritz Pérez; Ekhiñe Irurozki; Josu Ceberio (Swarm Evol. Comput., 2020)

Unbalanced mallows models for optimizing expensive black-box permutation problems. - Ekhine Irurozki; Manuel López-Ibáñez 001 (GECCO, 2021)

Concentric mixtures of Mallows models for top-k rankings: sampling and identifiability. - Fabien Collas; Ekhine Irurozki (ICML, 2021)

Rank Aggregation for Non-stationary Data Streams. - Ekhine Irurozki; Aritz Pérez; Jesus L. Lobo; Javier Del Ser (ECML/PKDD (3), 2021)

Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications. - Morgane Goibert; Stéphan Clémençon; Ekhine Irurozki; Pavlo Mozharovskyi (AISTATS, 2022)

Implementing the cumulative difference plot in the IOHanalyzer. - Etor Arza; Josu Ceberio; Ekhiñe Irurozki; Aritz Pérez (GECCO Companion, 2022)

What are the best Systems? New Perspectives on NLP Benchmarking. - Pierre Colombo; Nathan Noiry; Ekhine Irurozki; Stéphan Clémençon (NeurIPS, 2022)

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. - Laurens Bliek; Paulo da Costa 001; Reza Refaei Afshar; Yingqian Zhang 001; Tom Catshoek; Daniël Vos; Sicco Verwer; Fynn Schmitt-Ulms; André Hottung; Tapan Shah 001; Meinolf Sellmann; Kevin Tierney; et al. (CoRR, 2022)

Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues. - Morgane Goibert; Clément Calauzènes; Ekhine Irurozki; Stéphan Clémençon (ICML, 2023)

Fast and accurate nonlinear interference in-band spectrum prediction for sparse channel allocation. - Isaia Andrenacci; Matteo Lonardi; Petros Ramantanis; Elie Awwad; Ekhiñe Irurozki; Stéphan Clémençon (ONDM, 2023)

On the Fair Comparison of Optimization Algorithms in Different Machines. - Etor Arza; Josu Ceberio; Ekhiñe Irurozki; Aritz Pérez (CoRR, 2023)

Comparing Two Samples Through Stochastic Dominance: A Graphical Approach. - Etor Arza; Josu Ceberio; Ekhiñe Irurozki; Aritz Pérez (J. Comput. Graph. Stat., 2023)

The first AI4TSP competition: Learning to solve stochastic routing problems. - Yingqian Zhang 001; Laurens Bliek; Paulo da Costa 001; Reza Refaei Afshar; Robbert Reijnen; Tom Catshoek; Daniël Vos; Sicco Verwer; Fynn Schmitt-Ulms; André Hottung; Tapan Shah 001; Meinolf Sellmann; et al. (Artif. Intell., 2023)

Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks. - Anas Himmi; Ekhine Irurozki; Nathan Noiry; Stéphan Clémençon; Pierre Colombo (EMNLP (Findings), 2024)

Machine Learning-Driven Low-Complexity Optical Power Optimization for Point-to-Point Links. - Isaia Andrenacci; Matteo Lonardi; Petros Ramantanis; Elie Awwad; Ekhiñe Irurozki; Stéphan Clémençon; Paolo Serena; Chiara Lasagni; Sébastien Bigo; Patricia Layec (OFC, 2024)

Machine-learning-based technique to establish ASE or Kerr impairment dominance in optical transmission. - Isaia Andrenacci; Matteo Lonardi; Petros Ramantanis; Elie Awwad; Ekhiñe Irurozki; Stéphan Clémençon; Sylvain Almonacil (J. Opt. Commun. Netw., 2024)

A Combinatorial Optimization Framework for Probability-Based Algorithms by Means of Generative Models. - Mikel Malagon; Ekhine Irurozki; Josu Ceberio (ACM Trans. Evol. Learn. Optim., 2024)