• Deep Learning for Diabetic Retinopathy Prediction 

      Rodriguez-Leon, C.; Arevalo, William ; Banos, Oresti; Villalonga, Claudia (Springer Science and Business Media Deutschland GmbH, 2021)
      Diabetic retinopathy is a complication of diabetes mellitus. Its early diagnosis can prevent its progression and avoid the development of other major complications such as blindness. Deep learning and transfer learning ...
    • Enabling remote assessment of cognitive behaviour through mobile experience sampling 

      Wohlfahrt-Laymann, Jan; Hermens, Hermie; Villalonga, Claudia ; Vollenbroek-Hutten, Miriam; Banos, Oresti (2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, 2018)
      Cognitive decline is among the normal processes of ageing, involving problems with memory, language, thinking and judgment, happening at different times and affecting people's live to a significant extent. Traditional ...
    • Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows 

      Banos, Oresti; Gálvez, Juan Manuel; Damas, Miguel; Guillén, Alberto; Herrera, Luis Javier; Pomares, Héctor; Rojas, Ignacio; Villalonga, Claudia (Lecture Notes in Computer Science, 2019)
      The automatic recognition of physical activities typically involves various signal processing and machine learning steps used to transform raw sensor data into activity labels. One crucial step has to do with the segmentation ...
    • Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning 

      Banos, Oresti; Calatroni, Alberto; Damas, Miguel; Pomares, Héctor; Roggen, Daniel; Rojas, Ignacio; Villalonga, Claudia (Springer, 2021)
      Recognizing human activities seamlessly and ubiquitously is now closer than ever given the myriad of sensors readily deployed on and around users. However, the training of recognition systems continues to be both time and ...