Recent Submissions

  • Visual characterization of misclassified Class C GPCRs through Manifold-based machine learning methods 

    Cárdenas Domínguez, Martha Ivón; Vellido Alcacena, Alfredo; König, Caroline; Alquézar Mancho, René; Giraldo Arjonilla, Jesús (2015-09-18)
    Article
    Open Access
    G-protein-coupled receptors are cell membrane proteins of great interest in biology and pharmacology. Previous analysis of Class C of these receptors has revealed the existence of an upper boundary on the accuracy that can ...
  • ECMR’13 Special Issue 

    Andrade-Cetto, Juan; Frese, Udo; Moritz, Tenorth (2015)
    Article
    Open Access
    This special issue contains extended versions of the best papers from the 6th European Conference on Mobile Robots (ECMR). ECMR is a biennial European forum, internationally open, that allows roboticists throughout Europe ...
  • Potential information fields for mobile robot exploration 

    Vallvé Navarro, Joan; Andrade-Cetto, Juan (2015-07-01)
    Article
    Open Access
    We present a decision theoretic approach to mobile robot exploration. The method evaluates the reduction of joint path and map entropy and computes a potential information field in robot configuration space using these ...
  • Non-rigid graph registration using active testing search 

    Serradell, Eduard; Amável Pinheiro, Miguel; Sznitman, Raphael; Kybic, Jan; Moreno-Noguer, Francesc; Fua, Pascal (2015)
    Article
    Open Access
    We present a new approach for matching sets of branching curvilinear structures that form graphs embedded in R^2 or R^3 and may be subject to deformations. Unlike earlier methods, ours does not rely on local appearance ...
  • Human-Robot SLAM in industrial environments 

    Guerra Paradas, Edmundo; Bolea Monte, Yolanda; Grau Saldes, Antoni; Munguía Alcalá, Rodrigo Francisco (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Restricted access - publisher's policy
    A novel approach to the SLAM problem has been tested in an industrial environment within a robotic assistance context. In order to be fully reliable in non-modelled circumstances where the environment cannot be considered ...
  • Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors 

    Koenig, Caroline; Cárdenas Domíınguez, Martha Ivón; Giraldo Arjonilla, Jesús; Alquézar Mancho, René; Vellido Alcacena, Alfredo (2015-09-29)
    Article
    Open Access
    Background: The characterization of proteins in families and subfamilies, at different levels, entails the definition and use of class labels. When the adscription of a protein to a family is uncertain, or even wrong, this ...
  • Exploratory visualization of misclassified GPCRs from their transformed unaligned sequences using manifold learning techniques 

    Cárdenas Domínguez, Martha Ivón; Vellido Alcacena, Alfredo; König, Caroline; Alquézar Mancho, René; Giraldo Arjonilla, Jesús (Copicentro Granada, 2014)
    Conference report
    Open Access
    Class C G-protein-coupled receptors (GPCRs) are cell membrane proteins of great relevance to biology and pharmacology. Previous research has revealed an upper boundary on the accuracy that can be achieved in their ...
  • Misclassification of class C G-protein-coupled receptors as a label noise problem 

    König, Caroline; Vellido Alcacena, Alfredo; Alquézar Mancho, René; Giraldo Arjonilla, Jesús (2014)
    Conference lecture
    Open Access
    G-Protein-Coupled Receptors (GPCRs) are cell membrane proteins of relevance to biology and pharmacology. Their supervised classification in subtypes is hampered by label noise, which stems from a combination of expert ...
  • Multimodal feedback fusion of laser, image and temporal information 

    Huerta Casado, Iván; Ferrer Mínguez, Gonzalo; Herrero Cotarelo, Fernando; Prati, Andrea; Sanfeliu Cortés, Alberto (Association for Computing Machinery (ACM), 2014)
    Conference report
    Open Access
    In the present paper, we propose a highly accurate and robust people detector, which works well under highly variant and uncertain conditions, such as occlusions, false positives and false detections. These adverse conditions, ...
  • Finding class C GPCR subtype-discriminating n-grams through feature selection 

    König, Caroline; Alquézar Mancho, René; Vellido Alcacena, Alfredo; Giraldo Arjonilla, Jesús (Springer International Publishing, 2014)
    Conference report
    Open Access
    G protein-coupled receptors (GPCRs) are a large and heterogeneous superfamily of receptors that are key cell players for their role as extracellular signal transmitters. Class C GPCRs, in particular, are of great interest ...

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