Publicaciones en colaboración con investigadoras/es de Basque Center for Applied Mathematics (137)

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. A revisited branch-and-cut algorithm for large-scale orienteering problems

    European Journal of Operational Research, Vol. 313, Núm. 1, pp. 44-68

  3. A stochastic programming model for ambulance (re)location–allocation under equitable coverage and multi-interval response time

    Expert Systems with Applications, Vol. 249

  4. Characterization of rankings generated by pseudo-Boolean functions

    Swarm and Evolutionary Computation, Vol. 86

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

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

2023

  1. An Improved Version of MMOEA/DC Based on Alternative Clustering Definitions

    2023 IEEE Congress on Evolutionary Computation, CEC 2023

  2. Characterizing Permutation-Based Combinatorial Optimization Problems in Fourier Space

    Evolutionary computation, Vol. 31, Núm. 3, pp. 163-199

  3. Fast <inline-formula><tex-math notation="LaTeX">$K$</tex-math></inline-formula>-Medoids With the <inline-formula><tex-math notation="LaTeX">$l\_{1}$</tex-math></inline-formula>-Norm

    IEEE Transactions on Artificial Intelligence

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

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

  5. Hyper-parameter Optimization Using Continuation Algorithms

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

  6. Introducing multi-dimensional hierarchical classification: Characterization, solving strategies and performance measures

    Neurocomputing, Vol. 533, pp. 141-160

  7. LASSO for streaming data with adaptative filtering

    Statistics and Computing, Vol. 33, Núm. 1

  8. Learning a logistic regression with the help of unknown features at prediction stage

    Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

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

    Journal of Biomedical Informatics, Vol. 137

  10. Minimum Recall-Based Loss Function for Imbalanced Time Series Classification

    IEEE Transactions on Knowledge and Data Engineering, Vol. 35, Núm. 10, pp. 10024-10034

  11. New Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment Problem

    GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference

  12. On the Use of Second Order Neighbors to Escape from Local Optima

    GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference

  13. SNDProb: A Probabilistic Approach for Streaming Novelty Detection

    IEEE Transactions on Knowledge and Data Engineering, Vol. 35, Núm. 6, pp. 6335-6348

  14. Selective Imputation for Multivariate Time Series Datasets with Missing Values

    IEEE Transactions on Knowledge and Data Engineering, Vol. 35, Núm. 9, pp. 9490-9501

  15. The Natural Bias of Artificial Instances

    2023 IEEE Congress on Evolutionary Computation, CEC 2023