Publicaciones en las que colabora con CLAUDIA VILLALONGA PALLISER (11)

2022

  1. Development of a digital factory using automation simulation tools

    15th International Conference of Technology, Learning and Teaching of Electronics, TAEE 2022 - Proceedings

2021

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

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

2019

  1. 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)

2015

  1. Design, implementation and validation of a novel open framework for agile development of mobile health applications

    BioMedical Engineering Online, Vol. 14, Núm. 2

  2. Facilitating trunk endurance assessment by means of mobile health technologies

    UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers

  3. MDurance: A novel mobile health system to support trunk endurance assessment

    Sensors (Switzerland), Vol. 15, Núm. 6, pp. 13159-13183

  4. Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition

    Neural Processing Letters, Vol. 42, Núm. 1, pp. 5-26

  5. Multiwindow fusion for wearable activity recognition

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

  6. On the development of a real-time multi-sensor activity recognition system

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

2014

  1. PhysioDroid: Combining Wearable Health Sensors and Mobile Devices for a Ubiquitous, Continuous, and Personal Monitoring

    Scientific World Journal, Vol. 2014

  2. mHealthDroid: A novel framework for agile development of mobile health applications

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8868, pp. 91-98