Ara es mostren els items 1-20 de 242

  • 3D scene reconstruction and understanding from single shot pictures 

    García González, Alfredo (Universitat Politècnica de Catalunya, 2012-09)
    Projecte Final de Màster Oficial
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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 ...
  • A data mining approach to identify cognitive NeuroRehabilitation Range in Traumatic Brain Injury patients 

    García Rudolph, Alejandro; Gibert, Karina (2014-09-01)
    Article
    Accés restringit per política de l'editorial
    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)
    Text en actes de congrés
    Accés obert
    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 ...
  • A lower bound for learning distributions generated by probabilistic automata 

    Balle Pigem, Borja de; Castro Rabal, Jorge; Gavaldà Mestre, Ricard (Springer, 2010)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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 ...
  • A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases 

    Mocioiu, Victor; de Barros, Nuno M. Pedrosa; Ortega Martorell, Sandra; Slotboom, Johannes; Knecht, Urspeter; Arús, Carles; Vellido Alcacena, Alfredo; Julià Sapé, Margarida (I6doc.com, 2016)
    Text en actes de congrés
    Accés obert
    Machine learning has provided, over the last decades, tools for knowledge extraction in complex medical domains. Most of these tools, though, are ad hoc solutions and lack the systematic approach that would be required to ...
  • A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration 

    Paz Ortiz, Iván; Nebot Castells, M. Àngela; Romero Merino, Enrique; Múgica Álvarez, Francisco; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Comunicació de congrés
    Accés obert
    Algorithmic composition is the process of creating musical material by means of formal methods. As a consequence of its design, algorithmic composition systems are (explicitly or implicitly) described in terms of parameters. ...
  • A methodology for developing knowledge-based systems 

    Castro Peña, Juan Luis; Castro Sánchez, José Jesús; Espín Andrade, Rafael Alejandro; Zurita López, José Manuel (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1998)
    Article
    Accés obert
    This paper presents a methodology for developing fuzzy knowledge based systems (KBS), which permits a complete automatization. This methodology will be useful for approaching more complex problems that those in which machine ...
  • A multi-scale smoothing kernel for measuring time-series similarity 

    Troncoso, Alicia; Arias Vicente, Marta; Riquelme Santos, José Cristóbal (2015-11-01)
    Article
    Accés restringit per política de l'editorial
    In this paper a kernel for time-series data is introduced so that it can be used for any data mining task that relies on a similarity or distance metric. The main idea of our kernel is that it should recognize as highly ...
  • A probabilistic approach to the visual exploration of G protein-coupled receptor sequences 

    Vellido Alcacena, Alfredo; Cárdenas, Martha Ivón; Olier Caparroso, Iván; Rovira, Xavier; Giraldo, Jesús (2011)
    Text en actes de congrés
    Accés obert
    The study of G protein-coupled receptors (GPCRs) is of great interest in pharmaceutical research, but only a few of their 3D structures are known at present. On the contrary, their amino acid sequences are known and ...
  • A Proposal for wide-coverage Spanish named entity recognition 

    Arévalo, M.; Carreras Pérez, Xavier; Màrquez Villodre, Lluís; Martí Antonin, Maria Antònia; Padró, Lluís; Simon, Maria José (2002-04)
    Report de recerca
    Accés obert
    This paper presents a proposal for wide--coverage Named Entity Recognition for Spanish. First, a linguistic description of the typology of Named Entities is proposed. Following this definition an architecture of sequential ...
  • A QoS-aware framework for traffic classificationin software-defined networks 

    Salvat Lozano, Josep Xavier (Universitat Politècnica de Catalunya, 2014-12-15)
    Projecte/Treball Final de Carrera
    Accés restringit per decisió de l'autor
    [ANGLÈS] How can we build a system for traffic classification so that different QoS levels can be identified? How can we analyse different network parameters and identify a specific QoS for every flow? The purp ose of ...
  • A Quick View on Current Techniques and Machine Learning Algorithms for Big Data Analytics 

    Berral García, Josep Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Text en actes de congrés
    Accés obert
    Big-data is an excellent source of knowledge and information from our systems and clients, but dealing with such amount of data requires automation, and this brings us to data mining and machine leaming techniques. In ...
  • A Quotient Basis Kernel for the prediction of mortality in severe sepsis patients 

    Ribas Ripoll, Vicent; Romero Merino, Enrique; Ruiz Rodríguez, Juan Carlos; Vellido Alcacena, Alfredo (2013)
    Text en actes de congrés
    Accés obert
    In this paper, we describe a novel kernel for multinomial distributions, namely the Quotient Basis Kernel (QBK), which is based on a suitable reparametrization of the input space through algebraic geometry and statistics. ...
  • A software system for the microbial source tracking problem 

    Sànchez Mendoza, David; Belanche Muñoz, Luis Antonio; Blanch, Anicet R. (2011)
    Text en actes de congrés
    Accés obert
    The aim of this paper is to report the achievement of Ichnaea, a fully computer-based prediction system that is able to make fairly accurate predictions for Microbial Source Tracking studies. The system accepts examples ...
  • A Software system for the microbial source tracking problem 

    Sánchez-Mendoza, David (Universitat Politècnica de Catalunya, 2012-06-20)
    Projecte Final de Màster Oficial
    Accés obert
    The Microbial Source Tracking problem (MST) has to do with the determination of the fecal pollution origin in waters by the use of microbial and chemical indicators. This document introduces a methodology for solving MST ...
  • A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic 

    Carela Español, Valentín; Barlet Ros, Pere; Bifet Figuerol, Albert Carles; Fukuda, Kensuke (2016-10)
    Article
    Accés obert
    The continuous evolution of Internet traffic and its applications makes the classification of network traffic a topic far from being completely solved. An essential problem in this field is that most of proposed techniques ...
  • A study of feature selection algorithms for accuracy estimation 

    Butt, Kashif Javed (Universitat Politècnica de Catalunya, 2012-09)
    Projecte Final de Màster Oficial
    Accés obert
    The main purpose of Feature Subset Selection is to find a reduced subset of attributes from a data set described by a feature set. The task of a feature selection algorithm (FSA) is to provide with a computational ...
  • 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
    Accés restringit per política de l'editorial
    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 ...