Exploració per altres contribucions "Universitat Politècnica de Catalunya. SOCO - Soft Computing"
Ara es mostren els items 1-20 de 258
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A Case study in neural network training with the breeder genetic algorithm
(2000-02)
Report de recerca
Accés obertSupervised training from examples of a feed-forward neural network is a classical problem, traditionally tackled by derivative-based methods (DBM) that compute the gradient of the error, such as backpropagation. ... -
A decision making support tool: The resilience management fuzzy controller
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Text en actes de congrés
Accés obertIn 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 deep learning-based method for uncovering GPCR ligand-induced conformational states using interpretability techniques
(Springer, 2022)
Text en actes de congrés
Accés obertThere is increasing interest in the development of tools for investigating the protein ligand space. Understanding the underlying mechanisms of G protein-coupled receptors (GPCR) in the ligand-binding process is of particular ... -
A discrete labelling approach to attributed graph matching using SIFT features
(2010)
Text en actes de congrés
Accés obertLocal invariant feature extraction methods are widely used for image-features matching. There exist a number of approaches aimed at the refinement of the matches between image-features. It is a common strategy among these ... -
A flexible fuzzy inductive reasoning approach for load modelling able to cope with missing data
(Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST), 2015)
Text en actes de congrés
Accés obertLoad forecasting in buildings and homes has been in recent years a task of increasing importance. New services and functionalities can be offered in the home environment due to this predictions, for instance, the detection ... -
A fuzzy inductive approach for rule-based modelling of high level structures in algorithmic composition systems
(2015)
Text en actes de congrés
Accés restringit per política de l'editorialAlgorithmic composition systems are now widely understood. However, its capacity for producing outputs consistently showing high level structures is still a field of research. In the present work, the Fuzzy Inductive ... -
A fuzzy rule model for high level musical features on automated composition systems
(Springer, 2017)
Capítol de llibre
Accés obertAlgorithmic 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 ... -
A hierarchical perspective to fuzzy inductive reasoning: an attempt to obtain more understandable fuzzy inductive reasoning rules
(2015)
Comunicació de congrés
Accés restringit per política de l'editorialGeneralizing hypotheses based on the past data in order to predict the future is the essential core of human learning. Various successful methods and techniques have been developed so far that perform some sort of ... -
A kernel extension to handle missing data
(Springer-Verlag, 2009)
Text en actes de congrés
Accés obertAn extension for univariate kernels that deals with missing values is proposed. These extended kernels are shown to be valid Mercer kernels and can adapt to many types of variables, such as categorical or continuous. The ... -
A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases
(I6doc.com, 2016)
Text en actes de congrés
Accés obertMachine 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 MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors
(2014)
Text en actes de congrés
Accés restringit per política de l'editorialConvex non-negative matrix factorization is a blind signal separation technique that has previously demonstrated to be well-suited for the task of human brain tumor diagnosis from magnetic resonance spectroscopy data. This ... -
A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Comunicació de congrés
Accés obertAlgorithmic 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 model for continuous monitoring of patients with major depression in short and long term periods
(2016-12-19)
Article
Accés obertBACKGROUND AND OBJECTIVE: Major depressive disorder causes more human suffering than any other disease affecting humankind. It has a high prevalence and it is predicted that it will be among the three leading causes of ... -
A new graph matching method for point-set correspondence using the EM algorithm and Softassign
(2012)
Article
Accés restringit per política de l'editorialFinding correspondences between two point-sets is a common step in many vision applications (e.g., image matching or shape retrieval). We present a graph matching method to solve the point-set correspondence problem, which ... -
A new kernelized associative memory and some of its applications
(IOS Press, 2016)
Text en actes de congrés
Accés obertThe classical Bidirectional Associative Memory (BAM) allows for the storage of pairs of vectors, such that when either member of the pair is presented to the BAM, the other member may be successfully recalled. This work ... -
A probabilistic approach to the visual exploration of G protein-coupled receptor sequences
(2011)
Text en actes de congrés
Accés obertThe 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 climate change resilience management through fuzzy controllers
(SciTePress, 2016)
Text en actes de congrés
Accés obertWe aim towards the implementation of a set of fuzzy controllers capable to perform automated estimation of the period of time necessary to recover a resilience level through the non-linear influence of a set of interrelated ... -
A prospective fuzzy approach for the development of integral seismic risk scenarios for Barcelona, Spain
(SciTePress, 2017)
Text en actes de congrés
Accés restringit per política de l'editorialWe create a set of synthetic seismic risk scenarios by combining stochastic seismic simulations with social fragility indicators by mean of a fuzzy Mamdani type inference nested-model. The original values of the social ... -
A Quotient Basis Kernel for the prediction of mortality in severe sepsis patients
(2013)
Text en actes de congrés
Accés obertIn 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 sequential algorithm for feed-forward neural networks with optimal coefficients and interacting frequencies
(2005-10)
Report de recerca
Accés obertAn algorithm for sequential approximation with optimal coefficients and interacting frequencies (SAOCIF) for feed-forward neural networks is presented. SAOCIF combines two key ideas. The first one is the optimization of ...
