El Grup de Recerca en Enginyeria del Coneixement (GREC) fonamenta la seva activitat en la recerca i desenvolupament de tecnologies dins de l'àrea de la Intel·ligència Artificial, centrant-se en aspectes relatius al raonament qualitatiu, l'aprenentatge automàtic i els sistemes de decisió multicritèria. La finalitat del GREC és l'estudi i la recerca sobre sistemes basats en el coneixement i la seva natura qualitativa, tàcita o intangible.
El grup GREC impulsa una recerca interdisciplinària que incorpora àrees d'aplicació de rellevància social que suposin un augment de la qualitat de vida d'éssers, entorns i comunitats. En formació i difusió de coneixement, el GREC participa en programes de màster, formació doctoral, organització i participació en congressos, i publicació de resultats científics.
La nostra visió s'assoleix a través de continuar formant investigadors a nivell internacional en entorns de treball creatius i innovadors.

http://futur.upc.edu/GREC

The Knowledge Engineering Research Group (GREC) was established in 1991 as a highly multidisciplinary research team. Most of the GREC¿s researchers work at two universities, the Technical University of Catalonia and Ramon Llull University, although they collaborate actively with researchers from the LAAS-CNRS and IIIA-CSIC research groups. The group¿s main fields of study are the theory and application of learning systems and qualitative reasoning. The group is involved in researching and developing ubiquitous soft computing technologies in areas of application that lead to the improvement of the quality of life of people and communities. The group¿s specific objectives are the following: 1. The study and development of computational paradigms with the aim of merging soft computing and pervasive computing paradigms. Soft computing techniques have proved useful in several fields, but the focus has not yet been on problems in which the improvement of people¿s lives is the greatest concern. It is in this respect that a combination of soft computing and pervasive computing techniques might prove particularly useful, because of the latter¿s distributed and intangible nature. 2. The application of technologies. Only by merging software and hardware technologies is it possible to develop the aforementioned paradigms. The GREC aims to analyse how to merge these technologies in order to design computational intelligence. Possible areas of application are those in which a community or environment requires solutions to improve quality of life, such as, for example, smart buildings, environmental control, the improvement of sustainability indicators, market research, etc. 3. Teaching and the dissemination of knowledge in the university community and society in general. To this end, the group collaborates on Master¿s and PhD courses with Ramon Llull University. 4. Technology transfer. The main objective of contact with industry is transferring the knowledge generated by the group¿s research. A further aim in developing computational intelligence paradigms is the design of electronic and computing devices that do not intrude on people¿s everyday lives and the environment. The user¿s social environment is also considered, as the approach to computational intelligence in a technological society must be both adaptive and adaptable.

http://futur.upc.edu/GREC

The Knowledge Engineering Research Group (GREC) was established in 1991 as a highly multidisciplinary research team. Most of the GREC¿s researchers work at two universities, the Technical University of Catalonia and Ramon Llull University, although they collaborate actively with researchers from the LAAS-CNRS and IIIA-CSIC research groups. The group¿s main fields of study are the theory and application of learning systems and qualitative reasoning. The group is involved in researching and developing ubiquitous soft computing technologies in areas of application that lead to the improvement of the quality of life of people and communities. The group¿s specific objectives are the following: 1. The study and development of computational paradigms with the aim of merging soft computing and pervasive computing paradigms. Soft computing techniques have proved useful in several fields, but the focus has not yet been on problems in which the improvement of people¿s lives is the greatest concern. It is in this respect that a combination of soft computing and pervasive computing techniques might prove particularly useful, because of the latter¿s distributed and intangible nature. 2. The application of technologies. Only by merging software and hardware technologies is it possible to develop the aforementioned paradigms. The GREC aims to analyse how to merge these technologies in order to design computational intelligence. Possible areas of application are those in which a community or environment requires solutions to improve quality of life, such as, for example, smart buildings, environmental control, the improvement of sustainability indicators, market research, etc. 3. Teaching and the dissemination of knowledge in the university community and society in general. To this end, the group collaborates on Master¿s and PhD courses with Ramon Llull University. 4. Technology transfer. The main objective of contact with industry is transferring the knowledge generated by the group¿s research. A further aim in developing computational intelligence paradigms is the design of electronic and computing devices that do not intrude on people¿s everyday lives and the environment. The user¿s social environment is also considered, as the approach to computational intelligence in a technological society must be both adaptive and adaptable.

http://futur.upc.edu/GREC

Enviaments recents

  • A transformational creativity tool to support chocolate designers 

    Ruiz Vegas, Francisco Javier; Raya Giner, Cristóbal; Samà Monsonís, Albert; Agell Jané, Núria (Elsevier, 2015-12-01)
    Article
    Accés obert
    A new formulation of the central ideas of Boden's well-established theory on combinational, exploratory and transformational creativity is presented. This new formulation, based on the idea of conceptual space, redefines ...
  • Motion intention optimization for multirotor robust video stabilization 

    Aguilar, Wilbert G.; Angulo Bahón, Cecilio; Pardo, Jorge A. (IEEE Press, 2017)
    Text en actes de congrés
    Accés obert
    In this paper we present an optimization algorithm for simultaneously detecting video freeze and obtaining the minimum number of the frame required in motion intention estimation for real time robust video stabilization ...
  • On dynamical systems for sensorimotor contingencies. A first approach from control engineering 

    Angulo Bahón, Cecilio; Acevedo Valle, Juan Manuel (IOS Press, 2017)
    Text en actes de congrés
    Accés obert
    According to the sensorimotor approach, cognition is constituted by regularities in the perceptual experiences of an active and situated agent. This perspective rejects traditional inner representational models, stressing ...
  • Handling binary classification problems with a priority class by using Support Vector Machines 

    Gonzalez Abril, Luis; Angulo Bahón, Cecilio; Núñez Castro, Haydemar; Leal, Yenny (2017-12-01)
    Article
    Accés restringit per política de l'editorial
    © 2017 Elsevier B.V. A post-processing technique for Support Vector Machine (SVM) algorithms for binary classification problems is introduced in order to obtain adequate accuracy on a priority class (labelled as a positive ...
  • Multivariate Regression with Incremental Learning of Gaussian Mixture Models 

    Acevedo Valle, Juan Manuel; Trejo Ramírez, Karla Andrea; Angulo Bahón, Cecilio (IOS Press, 2017)
    Text en actes de congrés
    Accés obert
    Within the machine learning framework, incremental learning of multivariate spaces is of special interest for on-line applications. In this work, the regression problem for multivariate systems is solved by implementing ...
  • A Transformational creativity tool to support musical composition 

    Raya Giner, Cristóbal; Ruiz Vegas, Francisco Javier; Angulo Bahón, Cecilio; Samà Monsonís, Albert; Agell, Nuria (IOS Press BV, 2017)
    Comunicació de congrés
    Accés obert
    In this paper we use the idea of conceptual space introduced by Boden and redefine some properties such appropriateness and relevance that facilitate the computational implementation of the transformational creativity ...
  • Improving SVM classification on imbalanced datasets by introducing a new bias 

    Núñez Castro, Haydemar; Gonzalez Abril, Luis; Angulo Bahón, Cecilio (2017-10-14)
    Article
    Accés restringit per política de l'editorial
    Support Vector Machine (SVM) learning from imbalanced datasets, as well as most learning machines, can show poor performance on the minority class because SVMs were designed to induce a model based on the overall error. ...
  • Guest editorial: sensorimotor contingencies for cognitive robotics 

    Alenyà Ribas, Guillem; Tellez Lara, Ricardo; O'Regan, Kevin; Angulo Bahón, Cecilio (Institute of Electrical and Electronics Engineers (IEEE), 2017-06-09)
    Article
    Accés obert
    The sensorimotor approach to cognition states, that the key to bring semantics to the world of a robot, requires making the robot learn the relation between the actions that the robot performs and the change it experiences ...
  • A decision support tool using order weighted averaging for conference review assignment 

    Nguyen, Jennifer; Sánchez Hernández, Germán; Agell Jané, Núria; Rovira Llobera, Xari; Angulo Bahón, Cecilio (Elsevier, 2017-01-01)
    Article
    Accés restringit per política de l'editorial
    Assigning papers to reviewers is a large, long and difficult task for conference chairs and scientific committees. The paper reviewer assignment problem is a multi-agent problem which requires understanding reviewer expertise ...
  • Evaluating student-internship fit by using fuzzy linguistic terms and a fuzzy OWA operator 

    Jennifer, Nguyen; Sánchez Hernández, Germán; Armisen Morell, Albert; Agell, Nuria; Angulo Bahón, Cecilio (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Text en actes de congrés
    Accés obert
    Personnel selection is a well-known problem that is made difficult by incomplete and imprecise information about candidate and position compatibility. This paper shows how positions, which satisfy candidate’s interests, ...
  • A qualitative spatial descriptor of group-robot interactions 

    Falomir, Zoe; Angulo Bahón, Cecilio (Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017)
    Text en actes de congrés
    Accés obert
    The problem of finding a suitable qualitative representation for robots to reason about activity spaces where they carry out tasks such as leading or interacting with a group of people is tackled in this paper. For that, ...
  • Obstacle avoidance based-visual navigation for micro aerial vehicles 

    Aguilar Castillo, Wilbert Geovanny; Casaliglla, Veronica P.; Polit, Jose L. (2017-03-01)
    Article
    Accés obert
    This paper describes an obstacle avoidance system for low-cost Unmanned Aerial Vehicles (UAVs) using vision as the principal source of information through the monocular onboard camera. For detecting obstacles, the proposed ...

Mostra'n més