Publications (85) JOSÉ FRANCISCO VICENT FRANCÉS publications

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2026

  1. A New Subgraph Extraction Algorithm Through a Kinship Approach for Link Prediction in Knowledge Graphs

    Lecture Notes in Computer Science

2025

  1. A novel approach to predict the traffic accident assistance based on deep learning

    Neural Computing and Applications, Vol. 37, Núm. 7, pp. 5343-5368

  2. CTextureFusion: Advanced Texture Transfer with Multi-head Attention for Improving Lung CT Super Resolution

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

  3. Detecting Noise Pollution through a Spatio-temporal Deep Learning Model: A Case Study of Barcelona

    2025 21st International Conference on Intelligent Environments, IE 2025

  4. Evaluating Super-Resolution Models in Biomedical Imaging: Applications and Performance in Segmentation and Classification

    Journal of Imaging, Vol. 11, Núm. 4

  5. GeoCC-ConvLSTM: A Model for Nationwide Air Quality Forecasting

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

  6. Noise Pollution Prediction in a Densely Populated City Using a Spatio-Temporal Deep Learning Approach

    Applied Sciences (Switzerland), Vol. 15, Núm. 10

  7. Self explainable graph convolutional recurrent network for spatio-temporal forecasting

    Machine Learning, Vol. 114, Núm. 1

2024

  1. A Variant of the Growing Neural Gas Algorithm for the Design of an Electric Vehicle Charger Network

    Mathematics, Vol. 12, Núm. 22

  2. Feature fusion for a robust traffic accident assistance forecasting model with deep learning

    Applied Soft Computing, Vol. 167

  3. Global forecasting of carbon concentration through a deep learning spatiotemporal modeling

    Journal of Environmental Management, Vol. 371

  4. Influential Yield Strength of Steel Materials with Return Random Walk Gravity Centrality

    Mathematics, Vol. 12, Núm. 3

2023

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

    Information Sciences, Vol. 628, pp. 177-195

  2. Deep learning model of convolutional neural networks powered by a genetic algorithm for prevention of traffic accidents severity

    Chaos, Solitons and Fractals, Vol. 169

  3. Explainability techniques applied to road traffic forecasting using Graph Neural Network models

    Information Sciences, Vol. 645

  4. Few-Shot Learning for Prediction of Electricity Consumption Patterns

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

  5. Understanding the metallic glasses formation by applying a centrality measure based on betweenness

    Computational Materials Science, Vol. 218

2022

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

    Journal of Computational Science, Vol. 63

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

    Applied Mathematics and Computation, Vol. 412

  3. Cambio de metodología para mejorar la enseñanza-aprendizaje de Matemáticas 2

    Memorias del Programa de Redes de investigación en docencia universitaria: Convocatoria 2021-22 (Instituto de Ciencias de la Educación), pp. 1351-1367