Publikationen, an denen er mitarbeitet ARITZ PEREZ MARTINEZ (47)

2024

  1. A probabilistic generative model to discover the treatments of coexisting diseases with missing data

    Computer methods and programs in biomedicine, Vol. 243, pp. 107870

  2. Fast K-Medoids With the l1-Norm

    IEEE Transactions on Artificial Intelligence, Vol. 5, Núm. 4, pp. 1769-1777

  3. ON THE FAIR COMPARISON OF OPTIMIZATION ALGORITHMS IN DIFFERENT MACHINES

    Annals of Applied Statistics, Vol. 18, Núm. 1, pp. 42-62

2023

  1. Comparing Two Samples Through Stochastic Dominance: A Graphical Approach

    Journal of Computational and Graphical Statistics, Vol. 32, Núm. 2, pp. 551-566

  2. Fast computation of cluster validity measures for bregman divergences and benefits

    Pattern Recognition Letters, Vol. 170, pp. 100-105

  3. LASSO for streaming data with adaptative filtering

    Statistics and Computing, Vol. 33, Núm. 1

  4. Learning the progression patterns of treatments using a probabilistic generative model

    Journal of Biomedical Informatics, Vol. 137

2022

  1. An Efficient Split-Merge Re-Start for the K-Means Algorithm

    IEEE Transactions on Knowledge and Data Engineering, Vol. 34, Núm. 4, pp. 1618-1627

  2. An active adaptation strategy for streaming time series classification based on elastic similarity measures

    Neural Computing and Applications, Vol. 34, Núm. 16, pp. 13237-13252

  3. Are the statistical tests the best way to deal with the biomarker selection problem?

    Knowledge and Information Systems, Vol. 64, Núm. 6, pp. 1549-1570

  4. Implementing the cumulative difference plot in the IOHanalyzer

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

  5. Non-parametric discretization for probabilistic labeled data

    Pattern Recognition Letters, Vol. 161, pp. 52-58

2021

  1. A Cheap Feature Selection Approach for the K-Means Algorithm

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 32, Núm. 5, pp. 2195-2208

  2. A machine learning approach to predict healthcare cost of breast cancer patients

    Scientific Reports, Vol. 11, Núm. 1

  3. Rank Aggregation for Non-stationary Data Streams

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Statistical model for reproducibility in ranking-based feature selection

    Knowledge and Information Systems, Vol. 63, Núm. 2, pp. 379-410

2020

  1. An adaptive neuroevolution-based hyperheuristic

    GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion

  2. An efficient K-means clustering algorithm for tall data

    Data Mining and Knowledge Discovery, Vol. 34, Núm. 3, pp. 776-811

  3. Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer

    PLoS ONE, Vol. 15, Núm. 12 December

  4. Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem

    Swarm and Evolutionary Computation, Vol. 59