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Listar por autor "Villalonga, Claudia"

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    • Análisis comparativo de algoritmos de aprendizaje supervisado para la detección de caídas 

      Solórzano, Santigo; Pozo, David; Morales, Luis; Villalonga, Claudia (2019)
      La naturaleza y las condiciones propias del adulto mayor hacen que éste sea propenso a enfermedades y situaciones en donde su integridad física puede verse afectada; donde, las caídas son uno de los factores de mayor ...

    • 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 ...

    • mlCAF: Multi-Level Cross-Domain Semantic Context Fusioning for Behavior Identification 

      Asif Razzaq, Muhammad; Villalonga, Claudia ; Sungyoung, Lee; Akhtar, Usman; Ali, Maqbool; Kim, Eun-Soo; Masood Khattak, Asad; Seung, Hyonwoo; Hur, Taeho; Bang, Jaehun; Kim, Dohyeong; Ali Khan, Wajahat (Sensors, 10/2017)
      The emerging research on automatic identification of user’s contexts from the cross-domain environment in ubiquitous and pervasive computing systems has proved to be successful. Monitoring the diversified user’s contexts ...

    • MobileCogniTracker: A mobile experience sampling tool for tracking cognitive behaviour 

      Wohlfahrt-Laymann, Jan; Hermens, Hermie; Villalonga, Claudia ; Vollenbroek-Hutten, Miriam (Journal of Ambient Intelligence and Humanized Computing, 01/06/2019)
      As the population ages, cognitive decline is becoming a worldwide threat to older adults’ independence and quality of life. Cognitive decline involves problems with memory, language, thinking and judgement, thus severely ...

    • Multi-agent systems in the field of urbane-mobility: A Systematic Review 

      Ruiz de Gauna, David Eneko ; Villalonga, Claudia ; Sánchez, Luis Enrique (IEEE Latin America Transactions, 12/2020)
      Initiatives based on improving urban mobility havebeen traditionally a high priority. The introduction of the electric vehicle to solve the problems of congestion and pollution withincities has made it possible to solve ...

    • 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 ...

    • Semiautomatic Grading of Short Texts for Open Answers in Higher Education 

      de-la-Fuente-Valentín, Luis ; Verdú, Elena ; Padilla-Zea, Natalia ; Villalonga, Claudia; Blanco Valencia, Xiomara Patricia ; Baldiris, Silvia (Communications in Computer and Information Science, 2022)
      Grading student activities in online courses is a time-expensive task, especially with a high number of students in the course. To avoid a bottleneck in the continuous evaluation process, quizzes with multiple choice ...