E-LIB Suche - Ergebnisse für: Escolano, Francisco

1

HEX-GNN: Hierarchical EXpanders for Node Classification:

, In: Advances in Artificial Intelligence; Lecture Notes in Computer Science,

Begga, Ahmed ; Lozano, Miguel Ángel ; Escolano, Francisco - p. 233-242 , 2024

Link: https://doi.org/10.1007/..

2

Predicting COVID-19 pandemic waves including vaccination da..:

Begga, Ahmed ; Garibo-i-Orts, Òscar ; de María-García, Sergi...
Frontiers in Public Health. 11 (2023) - p. , 2023

Link: https://doi.org/10.3389/..

3

Open Data Science to Fight COVID-19: Winning the 500k XPRIZ..:

, In: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track; Lecture Notes in Computer Science,

Lozano, Miguel Angel ; Orts, Òscar Garibo i ; Piñol, Eloy... - p. 384-399 , 2021

Link: https://doi.org/10.1007/..

4

Network embedding from the line graph: Random walkers and b..:

Lozano, Miguel Angel ; Escolano, Francisco ; Curado, Manuel.
Pattern Recognition Letters. 143 (2021) - p. 36-42 , 2021

Link: https://doi.org/10.1016/..

5

The Entropy of Graph Embeddings: A Proxy of Potential Mobil..:

, In: Lecture Notes in Computer Science; Structural, Syntactic, and Statistical Pattern Recognition,

Escolano, Francisco ; Lozano, Miguel Angel ; Hancock, Edwin R. - p. 195-204 , 2021

Link: https://doi.org/10.1007/..

6

Seeking affinity structure: Strategies for improving m-best..:

Curado, Manuel ; Escolano, Francisco ; Lozano, Miguel A..
Information Sciences. 509 (2020) - p. 164-182 , 2020

Link: https://doi.org/10.1016/..

7

An efficient, dense and long-range marker system for the gu..:

Sáez, Juan Manuel ; Lozano, Miguel Angel ; Escolano, Francisco.
Machine Vision and Applications. 31 (2020) 7-8 - p. , 2020

Link: https://doi.org/10.1007/..

8

Early Detection of Alzheimer's Disease: Detecting Asymmetri..:

Curado, Manuel ; Escolano, Francisco ; Lozano, Miguel A..
Entropy. 22 (2020) 4 - p. 465 , 2020

Link: https://doi.org/10.3390/..

9

Network Embedding by Walking on the Line Graph:

, In: Graph-Based Representations in Pattern Recognition; Lecture Notes in Computer Science,

Lozano, Miguel Angel ; Curado, Manuel ; Escolano, Francisco. - p. 215-225 , 2019

Link: https://doi.org/10.1007/..

10

Dirichlet densifiers for improved commute times estimation:

Curado, Manuel ; Escolano, Francisco ; Lozano, Miguel A..
Pattern Recognition. 91 (2019) - p. 56-68 , 2019

Link: https://doi.org/10.1016/..

11

Dirichlet densifier bounds: Densifying beyond the spectral ..:

Curado, Manuel ; Lozano, Miguel A. ; Escolano, Francisco.
Pattern Recognition Letters. 125 (2019) - p. 425-431 , 2019

Link: https://doi.org/10.1016/..

12

Dirichlet Densifiers: Beyond Constraining the Spectral Gap:

, In: Lecture Notes in Computer Science; Structural, Syntactic, and Statistical Pattern Recognition,

Curado, Manuel ; Escolano, Francisco ; Lozano, Miguel Angel. - p. 512-521 , 2018

Link: https://doi.org/10.1007/..

13

Graph Similarity through Entropic Manifold Alignment:

Escolano, Francisco ; Hancock, Edwin R. ; Lozano, Miguel A.
SIAM Journal on Imaging Sciences. 10 (2017) 2 - p. 942-978 , 2017

Link: https://doi.org/10.1137/..

14

The mutual information between graphs:

Escolano, Francisco ; Hancock, Edwin R. ; Lozano, Miguel A..
Pattern Recognition Letters. 87 (2017) - p. 12-19 , 2017

Link: https://doi.org/10.1016/..

15

Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshop, S+SSPR 2016, Mérida, Me... Lecture Notes in Computer Science ; 10029;Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10029;SpringerLink, Bücher;Springer eBook Collection, Computer Science

Robles-Kelly, Antonio ; Loog, Marco ; Biggio, Battista.. , 2016

Link: https://doi.org/10.1007/..