Now showing items 1-8 of 8

    • A novel procedure for training L1-L2 support vector machine classifiers 

      Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Reyes Ortiz, Jorge Luis; Ridella, Sandro (2013)
      Conference report
      Restricted access - publisher's policy
      In this work we propose a novel algorithm for training L1-L2 Support Vector Machine (SVM) classifiers. L1-L2 SVMs allow to combine the effectiveness of L2 models and the feature selection characteristics of L1 solutions. ...
    • A public domain dataset for human activity recognition using smartphones 

      Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Parra Perez, Xavier; Reyes Ortiz, Jorge Luis (2013)
      Conference report
      Restricted access - publisher's policy
      Human-centered computing is an emerging research field that aims to understand human behavior and integrate users and their social context with computer systems. One of the most recent, challenging and appealing applications ...
    • Energy efficient smartphone-based activity recognition using fixed-point arithmetic 

      Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Llanas Parra, Francesc Xavier; Reyes Ortiz, Jorge Luis (2013)
      Article
      Open Access
      In this paper we propose a novel energy efficient approach for the recognition of human activities using smartphones as wearable sensing devices, targeting assisted living applications such as remote patient activity ...
    • Human activity recognition on smartphones for mobile context awareness 

      Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Llanas Parra, Francesc Xavier; Reyes Ortiz, Jorge Luis (2012)
      Conference lecture
      Open Access
      Activity-Based Computing [1] aims to capture the state of the user and its environment by exploiting heterogeneous sensors in order to provide adaptation to exogenous computing resources. When these sensors are attached ...
    • Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine 

      Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Llanas Parra, Francesc Xavier; Reyes Ortiz, Jorge Luis (Springer, 2012)
      Conference report
      Open Access
      Activity-Based Computing aims to capture the state of the user and its environment by exploiting heterogeneous sensors in order to provide adaptation to exogenous computing resources. When these sensors are attached to the ...
    • Societal issues in machine learning: when learning from data is not enough 

      Bacciu, Davide; Biggio, Battista; Lisboa, Paulo J G; Martin Guerrero, Jose David; Oneto, Luca; Vellido Alcacena, Alfredo (European Symposium on Artificial Neural Networks (ESANN), 2019)
      Conference lecture
      Open Access
      It has been argued that Artificial Intelligence (AI) is experiencing a fast process of commodification. Such characterization is on the interest of big IT companies, but it correctly reflects the current industrialization ...
    • Training computationally efficient smartphone–based human activity recognition models 

      Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Llanas Parra, Francesc Xavier; Reyes Ortiz, Jorge Luis (2013)
      Conference report
      Restricted access - publisher's policy
      The exploitation of smartphones for Human Activity Recognition (HAR) has been an active research area in which the development of fast and efficient Machine Learning approaches is crucial for preserving battery life and ...
    • Transition-aware human activity recognition using smartphones 

      Reyes Ortiz, Jorge Luis; Oneto, Luca; Samà Monsonís, Albert; Ghio, Alessandro; Llanas Parra, Xavier; Anguita, Davide (2015-08-08)
      Article
      Open Access
      This work presents the Transition-Aware Human Activity Recognition (TAHAR) system architecture for the recognition of physical activities using smartphones. It targets real-time classification with a collection of inertial ...