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  • Graph-Based Feature Selection Approach for Molecular Activity Prediction 

    Cerruela García, Gonzalo; Cuevas-Muñoz, José Manuel; García Pedrajas, Nicolás (American Chemical Society, 2022)
    In the construction of QSAR models for the prediction of molecular activity, feature selection is a common task aimed at improving the results and understanding of the problem. The selection of features allows elimination ...
  • Unemployment Rate Prediction Using a Hybrid Model of Recurrent Neural Networks and Genetic Algorithms 

    Mero, Kevin; Salgado, Nelson; Meza, J.; Pacheco-Delgado, Janeth; Ventura, Sebastián (MDPI, 2024)
    Unemployment, a significant economic and social challenge, triggers repercussions that affect individual workers and companies, generating a national economic impact. Forecasting the unemployment rate becomes essential for ...
  • Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds 

    Morales-Martín, Alejandro; Mesas Carrascosa, Francisco Javier; Gutiérrez, Pedro Antonio; Pérez Porras, Fernando; Vargas, Víctor Manuel; Hervás-Martínez, César (MDPI, 2024)
    Recent advances in Deep Learning and aerial Light Detection And Ranging (LiDAR) have offered the possibility of refining the classification and segmentation of 3D point clouds to contribute to the monitoring of complex ...
  • Rigidity results for complete spacelike submanifolds in plane fronted waves 

    Palomo, Francisco J.; Pelegrín, José A. S.; Romero, Alfonso (Springer, 2022)
    New rigidity results for complete non-compact spacelike submanifolds of arbitrary codimension in plane fronted waves are obtained. Under appropriate assumptions, we prove that a complete spacelike submanifold in these ...
  • Use of recommendation models to provide support to dyslexic students 

    Morciano, Gianluca; Alcalde-Llergo, José M.; Zingoni, Andrea; Yeguas-Bolívar, Enrique; Taborri, Juri; Calabrò, Giuseppe (Elsevier, 2024)
    Dyslexia is the most widespread specific learning disorder and significantly impair different cognitive domains. This, in turn, negatively affects dyslexic students during their learning path. Therefore, specific support ...

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