Publicaciones en las que colabora con ARITZ PEREZ MARTINEZ (29)

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

2023

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

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

  2. LASSO for streaming data with adaptative filtering

    Statistics and Computing, Vol. 33, Núm. 1

  3. 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

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

2020

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

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

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

    PLoS ONE, Vol. 15, Núm. 12 December

  3. Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences

    Neural Networks, Vol. 128, pp. 61-72

2019

  1. On-line Elastic Similarity Measures for time series

    Pattern Recognition, Vol. 88, pp. 506-517

2018

  1. Adversarial sample crafting for time series classification with elastic similarity measures

    Studies in Computational Intelligence (Springer Verlag), pp. 26-39

  2. Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models

    Proceedings of Machine Learning Research

  3. Are the Artificially Generated Instances Uniform in Terms of Difficulty?

    2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

2017

  1. An efficient approximation to the K-means clustering for massive data

    Knowledge-Based Systems, Vol. 117, pp. 56-69

  2. Nature-inspired approaches for distance metric learning in multivariate time series classification

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

  3. On-Line Dynamic Time Warping for Streaming Time Series

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

2016

  1. Efficient approximation of probability distributions with k-order decomposable models

    International Journal of Approximate Reasoning, Vol. 74, pp. 58-87