Listar vol. 6, nº 6, june 2021 por tema 

Listarvol. 6, nº 6, june 2021 por tema "deep learning"

Mostrando ítems 1-3 de 3

    • COVID-19 Mortality Risk Prediction Using X-Ray Images 

      Prada, J.; Gala, Y.; Sierra, A. L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The pandemic caused by coronavirus COVID-19 has already had a massive impact in our societies in terms of health, economy, and social distress. One of the most common symptoms caused by COVID-19 are lung problems like ...

    • DeepFair: Deep Learning for Improving Fairness in Recommender Systems 

      Bobadilla, Jesús; Lara-Cabrera, Raúl; González-Prieto, Ángel; Ortega, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The lack of bias management in Recommender Systems leads to minority groups receiving unfair recommendations. Moreover, the trade-off between equity and precision makes it difficult to obtain recommendations that meet both ...

    • Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs 

      Hassan, Loay; Saleh, Adel; Abdel-Nasser, Mohamed; Omer, Osama A.; Puig, Domenec (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Nuclei segmentation in whole-slide imaging (WSI) plays a crucial role in the field of computational pathology. It is a fundamental task for different applications, such as cancer cell type classification, cancer grading, ...