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Browsing by Subject "Machine Learning"

Browsing by Subject "Machine Learning"

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  • Data augmentation based on dynamical systems for the classification of brain states 
    Sanz Perl, Yonatan; Pallavicini, Carla; Perez Ipiña, Ignacio; Kringelbach, Morten; Deco, Gustavo; Laufs, Helmut; Tagliazucchi, Enzo (Elsevier, 2020-07-10)
    The application of machine learning algorithms to neuroimaging data shows great promise for the classification of physiological and pathological brain states. However, classifiers trained on high dimensional data are prone ...
  • Deep Learning Neural Networks Highly Predict Very Early Onset of Pluripotent Stem Cell Differentiation 
    Waisman, Ariel; La Greca, Alejandro; Möbbs, Alan Miqueas; Scarafía, María Agustina; Santín Velazque, Natalia Lucía; Neiman, Gabriel; Moro, Lucía Natalia; Luzzani, Carlos Daniel; Sevlever, Gustavo Emilio; Guberman, Alejandra S.; Miriuka, Santiago Gabriel (Elsevier, 2019-04-09)
    Deep learning is a significant step forward for developing autonomous tasks. One of its branches, computer vision, allows image recognition with high accuracy thanks to the use of convolutional neural networks (CNNs). Our ...
  • Liquid biopsy based on whole blood transcriptome and artificial intelligence for the prediction of coronary artery calcification: a pilot study 
    Poggio, Rosana; Rodriguez-Granillo, Gaston A.; De Lillo, Florencia; Rubilar, Alejandra Bibiana; Garron-Arias, Sarah Y.; Pérez, Nelba; Hijazi, Razan; Solari, Claudia; Olivera-Mores, María; Rodríguez Varela, María Soledad; Möbbs, Alan; Mancini, Estefanía; Berdiñas, Ignacio; La Greca, Alejandro; Luzzani, Carlos; Miriuka, Santiago Gabriel (Oxford, 2025-05-02)
    Aims Whole blood RNA expression is modulated in response to signals from tissues, including the vessel wall. The primary objective of this study was to explore the ability of whole blood transcriptomes, analysed using ...

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