Publicacions en què col·labora amb Claudia Villalonga Palliser (25)

2023

  1. Prediction of Blood Glucose Levels in Patients with Type 1 Diabetes via LSTM Neural Networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Towards an integrated swarm intelligence framework for urban mobility:A systematic review and proposed theoretical model

    Journal of King Saud University - Computer and Information Sciences, Vol. 35, Núm. 10

2021

  1. Deep Learning for Diabetic Retinopathy Prediction

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Facial Expression Interpretation in ASD Using Deep Learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Mobile and wearable technology for the monitoring of diabetes-related parameters: Systematic review

    JMIR mHealth and uHealth, Vol. 9, Núm. 6

  4. Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning

    Neural Processing Letters, Vol. 53, Núm. 5, pp. 3169-3197

  5. Ubiquitous technologies for emotion recognition

    Applied Sciences (Switzerland)

2020

  1. Análisis del uso de asistentes virtuales en el aula como recurso complementario en la práctica docente

    Enseñanza y aprendizaje de ingeniería de computadores: Revista de Experiencias Docentes en Ingeniería de Computadores, Núm. 10, pp. 61-66

  2. Estudio de la influencia del confinamiento debido a la COVID-19 en padres, alumnado y profesorado en ESO y FP

    Enseñanza y aprendizaje de ingeniería de computadores: Revista de Experiencias Docentes en Ingeniería de Computadores, Núm. 10, pp. 39-48

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

    IEEE Latin America Transactions, Vol. 18, Núm. 12, pp. 2186-2195

2019

  1. Comparative analysis of supervised learning algorithms for the detection of falls

    RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, Vol. 2019, Núm. E22, pp. 269-281

  2. Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. MobileCogniTracker: A mobile experience sampling tool for tracking cognitive behaviour

    Journal of Ambient Intelligence and Humanized Computing, Vol. 10, Núm. 6, pp. 2143-2160

2018

  1. Enabling remote assessment of cognitive behaviour through mobile experience sampling

    2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018