Exploració per autor "Alquézar Mancho, René"
Ara es mostren els items 25-43 de 43
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Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors
(2015-09-29)
Article
Accés obertBackground: 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 ... -
Misclassification of class C G-protein-coupled receptors as a label noise problem
(2014)
Comunicació de congrés
Accés obertG-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 ... -
MSClique: Multiple structure discovery through the maximum weighted clique problem
(2016-01-01)
Article
Accés obertWe present a novel approach for feature correspondence and multiple structure discovery in computer vision. In contrast to existing methods, we exploit the fact that point-sets on the same structure usually lie close to ... -
Neural networks with periodic and monotonic activation functions: a comparative study in classification problems
(2000-02)
Report de recerca
Accés obertThis article discusses a number of reasons why the use of non-monotonic functions as activation functions can lead to a marked improvement in the performance of a neural network. Using a wide range of benchmarks we show ... -
Object recognition and tracking in video sequences: a new integrated methodology
(2006-06)
Report de recerca
Accés obertThis paper describes a methodology that integrates recognition and segmentation, simultaneously with image tracking in a cooperative manner, for recognition of objects (or parts of them) in image sequences. A probabilistic ... -
Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns
(2014-10-23)
Article
Accés obertG 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 ... -
Searching and tracking people in urban environments with static and dynamic obstacles
(2017-12-01)
Article
Accés obertSearching and tracking people in crowded urban areas where they can be occluded by static or dynamic obstacles is an important behavior for social robots which assist humans in urban outdoor environments. In this work, we ... -
Searching and tracking people with cooperative mobile robots
(2018)
Article
Accés obertSocial robots should be able to search and track people in order to help them. In this paper we present two different techniques for coordinated multi-robot teams for searching and tracking people. A probability map (belief) ... -
Smooth simultaneous structural graph matching and point-set registration
(Springer, 2011)
Text en actes de congrés
Accés obertWe present a graph matching method that encompasses both a model of structural consistency and a model of geometrical deformations. Our method poses the graph matching problem as one of mixture modelling which is solved ... -
SVM-based classification of class C GPCRs from alignment-free physicochemical transformations of their sequences
(Springer Berlin Heidelberg, 2013)
Text en actes de congrés
Accés obertG protein-coupled receptors (GPCRs) have a key function in regulating the function of cells due to their ability to transmit extracelullar signals. Given that the 3D structure and the functionality of most GPCRs is unknown, ... -
Symbolic and connectionist learning techniques for grammatical inference
(Universitat Politècnica de Catalunya, 1997-05-12)
Tesi
Accés obertThis thesis is structured in four parts for a total of ten chapters. <br/><br/>The first part, introduction and review (Chapters 1 to 4), presents an extensive state-of-the-art review of both symbolic and connectionist GI ... -
Systematic analysis of primary sequence domain segments for the discrimination between class C GPCR subtypes
(2018-03-01)
Article
Accés obertG-protein-coupled receptors (GPCRs) are a large and diverse super-family of eukaryotic cell membrane proteins that play an important physiological role as transmitters of extracellular signal. In this paper, we investigate ... -
Teaching a drone to accompany a person from demonstrations using non-linear ASFM
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Text en actes de congrés
Accés restringit per política de l'editorialIn this paper, we present a new method based on the Aerial Social Force Model (ASFM) to allow human-drone side-by-side social navigation in real environments. To tackle this problem, the present work proposes a new ... -
The extracellular N-terminal domain suffices to discriminate class C G Protein-Coupled Receptor subtypes from n-grams of their sequences
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Text en actes de congrés
Accés obertThe investigation of protein functionality often relies on the knowledge of crystal 3-D structure. This structure is not always known or easily unravelled, which is the case of eukaryotic cell membrane proteins such as G ... -
Tracking deformable objects and dealing with same class object occlusion
(INSTICC Press. Institute for Systems and Technologies of Information, Control and Communication, 2009)
Capítol de llibre
Accés obertThis paper presents an extension of a previously reported method for object tracking in video sequences to handle the problems of object crossing and occlusion by other objects in the same class that the one followed. The ... -
Un nuevo método cooperativo para encontrar personas en un entorno urbano con robots móviles
(Comité Español de Automática (CEA-IFAC), 2016)
Text en actes de congrés
Accés obertSe presenta un nuevo método para localizar a personas en entornos urbanos usando robots móviles sociales que trabajan de manera cooperativa, el cual supera las limitaciones de enfoques ya existentes, que se adaptan a ... -
Using machine learning tools for protein database biocuration assistance
(Nature, 2018-07-05)
Article
Accés obertBiocuration in the omics sciences has become paramount, as research in these fields rapidly evolves towards increasingly data-dependent models. As a result, the management of web-accessible publicly-available databases ... -
Visual characterization of misclassified Class C GPCRs through Manifold-based machine learning methods
(2015-09-18)
Article
Accés obertG-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 ... -
XIM-engine: a software framework to support the development of interactive applications that uses conscious and unconscious reactions in immersive mixed reality
(ACM Press. Association for Computing Machinery, 2014)
Text en actes de congrés
Accés restringit per política de l'editorialThe development of systems that allow multimodal interpretation of human-machine interaction is crucial to advance our understanding and validation of theoretical models of user behavior. In particular, a system capable ...
