Exploració per autor "Anguita, Davide"

Ara es mostren els items 1-10 de 10

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

      Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Reyes Ortiz, Jorge Luis; Ridella, Sandro (2013)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      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)
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      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 ...

    • Bridging cognitive models and recommender systems 

      Angulo Bahón, Cecilio; Falomir, Zoe; Anguita, Davide; Agell, Núria; Cambria, Erk (2020-03-09)
      Article
      Accés obert

    • 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
      Accés obert
      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 and motion disorder recognition: towards smarter interactive cognitive environments 

      Reyes Ortiz, Jorge Luis; Ghio, Alessandro; Anguita, Davide; Parra Perez, Xavier; Cabestany Moncusí, Joan; Català Mallofré, Andreu (2013)
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      The rise of ubiquitous computing systems in our environment is engendering a strong need for novel approaches of human-computer interaction. Either for extending the existing range of possibilities and services available ...

    • Human activity recognition on smartphones for mobile context awareness 

      Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Llanas Parra, Francesc Xavier; Reyes Ortiz, Jorge Luis (2012)
      Comunicació de congrés
      Accés obert
      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)
      Text en actes de congrés
      Accés obert
      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 ...

    • New advances in artificial neural networks and machine learning techniques 

      Valenzuela Cansino, Olga; Català Mallofré, Andreu; Anguita, Davide; Rojas Ruiz, Ignacio (2023-10)
      Article
      Accés obert

    • Training computationally efficient smartphone–based human activity recognition models 

      Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Llanas Parra, Francesc Xavier; Reyes Ortiz, Jorge Luis (2013)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      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
      Accés obert
      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 ...