Publicaciones en las que colabora con MANUEL CURADO NAVARRO (13)

2021

  1. Network embedding from the line graph: Random walkers and boosted classification

    Pattern Recognition Letters, Vol. 143, pp. 36-42

2020

  1. Early detection of Alzheimer's disease: Detecting asymmetries with a return random walk link predictor

    Entropy, Vol. 22, Núm. 4

  2. Seeking affinity structure: Strategies for improving m-best graph matching

    Information Sciences, Vol. 509, pp. 164-182

2019

  1. Dirichlet densifier bounds: Densifying beyond the spectral gap constraint

    Pattern Recognition Letters, Vol. 125, pp. 425-431

  2. Dirichlet densifiers for improved commute times estimation

    Pattern Recognition, Vol. 91, pp. 56-68

  3. Network Embedding by Walking on the Line Graph

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

2018

  1. Dirichlet densifiers: Beyond constraining the spectral gap

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

  2. Net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking

    Proceedings - International Conference on Pattern Recognition

  3. Semi-supervised Graph Rewiring with the Dirichlet Principle

    Proceedings - International Conference on Pattern Recognition

  4. Semi-supervised Graph Rewiring with the Dirichlet Principle

    2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)

  5. net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking

    2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)

2017

  1. The mutual information between graphs

    Pattern Recognition Letters, Vol. 87, pp. 12-19

2016

  1. Dirichlet graph densifiers

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