Manuel Curado

According to our database, Manuel Curado authored at least 27 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A novel measure to identify influential nodes: Return Random Walk Gravity Centrality.

Manuel Curado, Leandro Tortosa, Jose F. Vicent

Inf. Sci., May, 2023

An Exploratory Data Analysis for League of Legends Professional Match Data.

Juan Morales-García, Antonio Llanes, Manuel Curado, Francisco Arcas-Túnez

Proceedings of the Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023), 2023

2022

A centrality model for directed graphs based on the Two-Way-Random Path and associated indices for characterizing the nodes.

Manuel Curado, Rocio Rodriguez, Fernando Terroso-Saenz, Leandro Tortosa, Jose F. Vicent

J. Comput. Sci., 2022

An analysis of twitter as a relevant human mobility proxy.

Fernando Terroso-Saenz, Andrés Muñoz, Francisco Arcas-Túnez, Manuel Curado

GeoInformatica, 2022

Anew centrality measure in dense networks based on two-way random walk betweenness.

Manuel Curado, Rocio Rodriguez, Leandro Tortosa, Jose F. Vicent

Appl. Math. Comput., 2022

EMO-Learning: Towards an intelligent tutoring system to assess online students' emotions.

Belén López, Francisco Arcas-Túnez, Magdalena Cantabella, Fernando Terroso-Sáenz, Manuel Curado, Andrés Muñoz

Proceedings of the 18th International Conference on Intelligent Environments, 2022

2021

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

Miguel Angel Lozano, Francisco Escolano, Manuel Curado, Edwin R. Hancock

Pattern Recognit. Lett., 2021

Understanding mobility in Rome by means of a multiplex network with data.

Manuel Curado, Leandro Tortosa, Jose F. Vicent, Gevorg Yeghikyan

J. Comput. Sci., 2021

A New Methodology to Study Street Accessibility: A Case Study of Avila (Spain).

Manuel Curado, Rocio Rodriguez, Manuel Jiménez, Leandro Tortosa, Jose F. Vicent

ISPRS Int. J. Geo Inf., 2021

Identifying mobility patterns by means of centrality algorithms in multiplex networks.

Manuel Curado, Leandro Tortosa, Jose F. Vicent

Appl. Math. Comput., 2021

2020

Analysis and comparison of centrality measures applied to urban networks with data.

Manuel Curado, Leandro Tortosa, José-Francisco Vicent, Gevorg Yeghikyan

J. Comput. Sci., 2020

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

Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock

Inf. Sci., 2020

Return random walks for link prediction.

Manuel Curado

Inf. Sci., 2020

Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor.

Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock

Entropy, 2020

2019

Extending the Adapted PageRank Algorithm Centrality to Multiplex Networks with Data Using the PageRank Two-Layer Approach.

Taras Agryzkov, Manuel Curado, Francisco Pedroche, Leandro Tortosa, José-Francisco Vicent

Symmetry, 2019

Dirichlet densifier bounds: Densifying beyond the spectral gap constraint.

Manuel Curado, Miguel Angel Lozano, Francisco Escolano, Edwin R. Hancock

Pattern Recognit. Lett., 2019

Dirichlet densifiers for improved commute times estimation.

Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock

Pattern Recognit., 2019

Network Embedding by Walking on the Line Graph.

Miguel Angel Lozano, Manuel Curado, Francisco Escolano, Edwin R. Hancock

Proceedings of the Graph-Based Representations in Pattern Recognition, 2019

2018

Dirichlet Densifiers: Beyond Constraining the Spectral Gap.

Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Semi-supervised Graph Rewiring with the Dirichlet Principle.

Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock

Proceedings of the 24th International Conference on Pattern Recognition, 2018

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

Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin Robert Hancock

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

The mutual information between graphs.

Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano, Manuel Curado

Pattern Recognit. Lett., 2017

On the Interplay Between Strong Regularity and Graph Densification.

Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo

Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

Shape Simplification Through Graph Sparsification.

Francisco Escolano, Manuel Curado, Silvia Biasotti, Edwin R. Hancock

Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

2016

Dirichlet Graph Densifiers.

Francisco Escolano, Manuel Curado, Miguel Angel Lozano, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Commute Times in Dense Graphs.

Francisco Escolano, Manuel Curado, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

2015

Similarity Analysis from Limiting Quantum Walks.

Manuel Curado, Francisco Escolano, Edwin R. Hancock, Farshad Nourbakhsh, Marcello Pelillo

Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015