Now showing items 1-20 of 345

  • 3D scene reconstruction and understanding from single shot pictures 

    García González, Alfredo (Universitat Politècnica de Catalunya, 2012-09)
    Master thesis
    Open Access
    Augmented reality mixes computer generated graphics with real imaging using computer vision techniques. However, nowadays, augmented reality is still a very young field of research, and its applications usually involve ...
  • A Cloud robotics architecture to foster individual child partnership in medical facilities 

    Navarro, Joan; Sancho-Asensio, Andreu; Garriga, Carles; Albo-Canals, J.; Ortiz-Villajos Maroto, Julio; Raya Giner, Cristóbal; Angulo Bahón, Cecilio; Miralles, David (2013)
    Conference report
    Open Access
    Robots and automation systems have become a valuable partner in several facets of human life: from learning and teaching, to daily working, including health monitoring and assistance. So far, these appealing robot-based ...
  • ACon: A learning-based approach to deal with uncertainty in contextual requirements at runtime 

    Knauss, Alessia; Damian, Daniela; Franch Gutiérrez, Javier; Rook, Angela; Müller, Haussi A.; Thomo, Alex (2016-02)
    Article
    Open Access
    Context: Runtime uncertainty such as unpredictable operational environment and failure of sensors that gather environmental data is a well-known challenge for adaptive systems. Objective: To execute requirements that ...
  • Acoustic sequences in non-human animals: a tutorial review and prospectus 

    Kershenbaum, Arik; Blumstein, Daniel T.; Roch, Marie A.; Ferrer Cancho, Ramon (2016-02)
    Article
    Open Access
    Animal acoustic communication often takes the form of complex sequences, made up of multiple distinct acoustic units. Apart from the well-known example of birdsong, other animals such as insects, amphibians, and mammals ...
  • Action rule induction from cause-effect pairs learned through robot-teacher interaction 

    Agostini, Alejandro Gabriel; Celaya Llover, Enric; Torras, Carme; Wörgötter, Florentin (University of Karlsruhe, 2008)
    Conference report
    Open Access
    In this work we propose a decision-making system that efficiently learns behaviors in the form of rules using natural human instructions about cause-effect relations in currently observed situations, avoiding complicated ...
  • Adapting deep neural networks to a low-power environment 

    Mañas Sánchez, Oscar (Universitat Politécnica de Catalunya, 2017)
    Bachelor thesis
    Open Access
    These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep neural network has been trained for hours, days, or even weeks on a desktop GPU, it is deployed in the field where it runs ...
  • Adaptive load consumption modelling on the user side: contributions to load forecasting modelling based on supervised mixture of experts and genetic programming 

    Giacometto Torres, Francisco Javier (Universitat Politècnica de Catalunya, 2017-07-25)
    Doctoral thesis
    Open Access
    This research work proposes three main contributions on the load forecasting field: the enhancement of the forecasting accuracy, the enhancement of the model adaptiveness, and the automatization on the execution of the ...
  • Adaptive on-line software aging prediction based on machine learning 

    Alonso López, Javier; Torres Viñals, Jordi; Berral García, Josep Lluís; Gavaldà Mestre, Ricard (IEEE Computer Society Publications, 2010)
    Conference report
    Open Access
    The growing complexity of software systems is resulting in an increasing number of software faults. According to the literature, software faults are becoming one of the main sources of unplanned system outages, and have ...
  • Adaptive scheduling on power-aware managed data-centers using machine learning 

    Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (IEEE Computer Society Publications, 2011)
    Conference report
    Restricted access - publisher's policy
    Energy-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient power-aware resource management strategies, also known ...
  • Adaptive scheduling on power-aware managed data-centers using machine learning 

    Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2011)
    External research report
    Open Access
    Energy-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient power-aware resource management strategies, also known ...
  • Adarules: Learning rules for real-time road-traffic prediction 

    Mena Yedra, Rafael; Gavaldà Mestre, Ricard; Casas Vilaró, Jordi (Elsevier, 2017-12-17)
    Conference report
    Open Access
    Traffic management is being more important than ever, especially in overcrowded big cities with over-pollution problems and with new unprecedented mobility changes. In this scenario, road-traffic prediction plays a key ...
  • A data mining approach to identify cognitive NeuroRehabilitation Range in Traumatic Brain Injury patients 

    García Rudolph, Alejandro; Gibert, Karina (2014-09-01)
    Article
    Restricted access - publisher's policy
    Cognitive rehabilitation (CR) treatment consists of hierarchically organized tasks that require repetitive use of impaired cognitive functions in a progressively more demanding sequence. Active monitoring of the progress ...
  • A decision making support tool: The resilience management fuzzy controller 

    González Cardenas, Rubén; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Open Access
    In this paper a fuzzy controller capable to perform an automated estimation of the period of time necessary to recover a resilience level is proposed. Estimations where made by considering realistic time-dependent action ...
  • Advances in machine learning and computational intelligence 

    Schleif, Frank-Michael; Biehl, Michael; Vellido Alcacena, Alfredo (2009-03)
    Article
    Restricted access - publisher's policy
  • A fuzzy rule model for high level musical features on automated composition systems 

    Paz Ortiz, Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (Springer, 2017)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Algorithmic composition systems are now well-understood. However, when they are used for specific tasks like creating material for a part of a piece, it is common to prefer, from all of its possible outputs, those exhibiting ...
  • Algorismes d'aprenentatge per reforç en micro-robots 

    Palma Pérez, Juan (Universitat Politècnica de Catalunya, 2016)
    Master thesis (pre-Bologna period)
    Open Access
    The aim of this project is the study of reinforcement learning algorithms for micro-robots. It begins with the description of the collective intelligence concept and its main characteristics. Then it presents concepts such ...
  • ALOJA: A framework for benchmarking and predictive analytics in Hadoop deployments 

    Berral García, Josep Lluís; Poggi Mastrokalo, Nicolas; Carrera Pérez, David; Call, Aaron; Reinauer, Rob; Green, Daron (Institute of Electrical and Electronics Engineers (IEEE), 2015-10)
    Article
    Open Access
    This article presents the ALOJA project and its analytics tools, which leverages machine learning to interpret Big Data benchmark performance data and tuning. ALOJA is part of a long-term collaboration between BSC and ...
  • ALOJA-ML: a framework for automating characterization and knowledge discovery in Hadoop deployments 

    Berral García, Josep Lluís; Poggi, Nicolas; Carrera Pérez, David; Call, Aaaron; Reinauer, Rob; Green, Daron (Association for Computing Machinery (ACM), 2015)
    Conference report
    Open Access
    This article presents ALOJA-Machine Learning (ALOJA-ML) an extension to the ALOJA project that uses machine learning techniques to interpret Hadoop benchmark performance data and performance tuning; here we detail the ...
  • A lower bound for learning distributions generated by probabilistic automata 

    Balle Pigem, Borja de; Castro Rabal, Jorge; Gavaldà Mestre, Ricard (Springer, 2010)
    Conference report
    Open Access
    Known algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability μ of the target machine, besides the number of states and the usual accuracy and confidence parameters. ...
  • A machine learning approach for layout inference in spreadsheets 

    Koci, Elvis; Thiele, Maik; Romero Moral, Óscar; Lehner, Wolfgang (SciTePress, 2016)
    Conference report
    Open Access
    Spreadsheet applications are one of the most used tools for content generation and presentation in industry and the Web. In spite of this success, there does not exist a comprehensive approach to automatically extract and ...