University of York-ko ikertzaileekin lankidetzan egindako argitalpenak (23)

2021

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

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

  2. 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. 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

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. Skeletal graphs from Schrödinger magnitude and phase

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

2013

  1. Information-theoretic dissimilarities for graphs

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

  2. TurboTensors for entropic image comparison

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

2012

  1. Heat diffusion: Thermodynamic depth complexity of networks

    Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 85, Núm. 3

2011

  1. Graph matching through entropic manifold alignment

    Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

2010

  1. Heat flow-thermodynamic depth complexity in networks

    Proceedings - International Conference on Pattern Recognition

  2. What is the complexity of a network? the heat flow-thermodynamic depth approach

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