Publicaciones en las que colabora con FRANCISCO JAVIER ESCOLANO RUIZ (52)

2023

  1. Predicting COVID-19 pandemic waves including vaccination data with deep learning

    Frontiers in Public Health, Vol. 11

2022

  1. Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract)

    IJCAI International Joint Conference on Artificial Intelligence

2021

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

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

  2. Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge

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

  3. The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks

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

2020

  1. An efficient, dense and long-range marker system for the guidance of the visually impaired

    Machine Vision and Applications, Vol. 31, Núm. 7-8

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

    Entropy, Vol. 22, Núm. 4

  3. 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)

2017

  1. Graph similarity through entropic manifold alignment

    SIAM Journal on Imaging Sciences, Vol. 10, Núm. 2, pp. 942-978

  2. 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)

2015

  1. Aerial obstacle detection with 3-D mobile devices

    IEEE Journal of Biomedical and Health Informatics, Vol. 19, Núm. 1, pp. 74-80

  2. Skeletal graphs from Schrödinger magnitude and phase

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