• Bioinspired early detection through gas flow modulation in chemo-sensory systems 

      Ziyatdinov, Andrey; Fonollosa Magrinyà, Jordi; Valentín-Fernández Gallart, Luis; Gutierrez Galvez, Agustín; Marco Colas, Santiago; Perera Lluna, Alexandre (2015-01-01)
      Article
      Accés obert
      The design of bioinspired systems for chemical sensing is an engaging line of research in machine olfaction. Developments in this line could increase the lifetime and sensitivity of artificial chemo-sensory systems. Such ...
    • Contrastive and attention-based multiple instance learning for the prediction of sentinel lymph node status from histopathologies of primary melanoma tumours 

      Hernández Pérez, Carlos; Combalia Escudero, Marc; Puig Sardá, Susana; Malvehy Guilera, Josep; Vilaplana Besler, Verónica (Springer, 2022-09-30)
      Capítol de llibre
      Accés obert
      Sentinel lymph node status is a crucial prognosis factor for melanomas; nonetheless, the invasive surgery required to obtain it always puts the patient at risk. In this study, we develop a Deep Learning-based approach to ...
    • Screening dyslexia for English using HCI measures and machine learning 

      Rello, Luz; Romero Merino, Enrique; Rauschenberger, Maria; Ali, Abdullah; Williams, Kristin; Bigham, Jeffrey P.; White, Nancy Cushen (Association for Computing Machinery (ACM), 2018)
      Text en actes de congrés
      Accés obert
      More than 10% of the population has dyslexia, and most are diagnosed only after they fail in school. This work seeks to change this through early detection via machine learning models that predict dyslexia by observing how ...