Similarity Analysis from Limiting Quantum Walks. - Manuel Curado; Francisco Escolano; Edwin R. Hancock; Farshad Nourbakhsh; Marcello Pelillo (SIMBAD, 2015)

Commute Times in Dense Graphs. - Francisco Escolano; Manuel Curado; Edwin R. Hancock (S+SSPR, 2016)

Dirichlet Graph Densifiers. - Francisco Escolano; Manuel Curado; Miguel Angel Lozano; Edwin R. Hancock (S+SSPR, 2016)

Shape Simplification Through Graph Sparsification. - Francisco Escolano; Manuel Curado; Silvia Biasotti; Edwin R. Hancock (GbRPR, 2017)

On the Interplay Between Strong Regularity and Graph Densification. - Marco Fiorucci; Alessandro Torcinovich; Manuel Curado; Francisco Escolano; Marcello Pelillo (GbRPR, 2017)

The mutual information between graphs. - Francisco Escolano; Edwin R. Hancock; Miguel Angel Lozano; Manuel Curado (Pattern Recognit. Lett., 2017)

net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking. - Manuel Curado; Francisco Escolano; Miguel Angel Lozano; Edwin Robert Hancock (ICPR, 2018)

Semi-supervised Graph Rewiring with the Dirichlet Principle. - Manuel Curado; Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock (ICPR, 2018)

Dirichlet Densifiers: Beyond Constraining the Spectral Gap. - Manuel Curado; Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock (S+SSPR, 2018)

Network Embedding by Walking on the Line Graph. - Miguel Angel Lozano; Manuel Curado; Francisco Escolano; Edwin R. Hancock (GbRPR, 2019)

Dirichlet densifiers for improved commute times estimation. - Manuel Curado; Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock (Pattern Recognit., 2019)

Dirichlet densifier bounds: Densifying beyond the spectral gap constraint. - Manuel Curado; Miguel Angel Lozano; Francisco Escolano; Edwin R. Hancock (Pattern Recognit. Lett., 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)

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)

Return random walks for link prediction. - Manuel Curado (Inf. 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)

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)

Identifying mobility patterns by means of centrality algorithms in multiplex networks. - Manuel Curado; Leandro Tortosa; Jose F. Vicent (Appl. Math. Comput., 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)

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)

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)

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 001 (Intelligent Environments, 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)

An analysis of twitter as a relevant human mobility proxy. - Fernando Terroso-Saenz; Andrés Muñoz 001; Francisco Arcas-Túnez; Manuel Curado (GeoInformatica, 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 Exploratory Data Analysis for League of Legends Professional Match Data. - Juan Morales-García; Antonio Llanes; Manuel Curado; Francisco Arcas-Túnez (Intelligent Environments (Workshops), 2023)

A novel measure to identify influential nodes: Return Random Walk Gravity Centrality. - Manuel Curado; Leandro Tortosa; Jose F. Vicent (Inf. Sci., 2023)

Increasing the Accuracy of a Deep Learning Model for Traffic Accident Severity Prediction by Adding a Temporal Category. - Luis Pérez-Sala; Manuel Curado; Leandro Tortosa; Jose F. Vicent (ACR, 2024)

CTextureFusion: Advanced Texture Transfer with Multi-head Attention for Improving Lung CT Super Resolution. - Mario Amoros; Manuel Curado; Jose F. Vicent (ICPR (11), 2024)

GeoCC-ConvLSTM: A Model for Nationwide Air Quality Forecasting. - Marc Semper; Manuel Curado; Jose F. Vicent (ICPR (8), 2024)

Feature fusion for a robust traffic accident assistance forecasting model with deep learning. - Luis Pérez-Sala; Manuel Curado; Jose F. Vicent (Appl. Soft Comput., 2024)

A New Subgraph Extraction Algorithm Through a Kinship Approach for Link Prediction in Knowledge Graphs. - Carla Piñol; Manuel Curado; Jose F. Vicent; Antonio J. Banegas-Luna (IbPRIA, 2025)

Detecting Noise Pollution through a Spatio-temporal Deep Learning Model: A Case Study of Barcelona. - Marc Semper; Manuel Curado; Jose F. Vicent (IE, 2025)

Self explainable graph convolutional recurrent network for spatio-temporal forecasting. - Javier García-Sigüenza; Manuel Curado; Faraón Llorens-Largo; Jose F. Vicent (Mach. Learn., 2025)

A novel approach to predict the traffic accident assistance based on deep learning. - José-Francisco Vicent; Manuel Curado; José L. Oliver; Luis Pérez-Sala (Neural Comput. Appl., 2025)