Ponències/Comunicacions de congressos
Recent Submissions
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Bridging deep and kernel methods
(2017)
Conference report
Restricted access - publisher's policyThere has been some exciting major progress in recent years in data analysis methods, including a variety of deep learning architectures, as well as further advances in kernel-based learning methods, which have demonstrated ... -
Benchmarking the selection of the hidden-layer weights in extreme learning machines
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference report
Open AccessRecent years have seen a growing interest in neural networks whose hidden-layer weights are randomly selected, such as Extreme Learning Machines (ELMs). These models are motivated by their ease of development, high ... -
A prospective fuzzy approach for the development of integral seismic risk scenarios for Barcelona, Spain
(SciTePress, 2017)
Conference report
Restricted access - publisher's policyWe 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 ... -
Modeling a flue-gas desulfurization plant with a fuzzy methodology to optimize the SO2 absorption process
(2017)
Conference report
Restricted access - publisher's policy -
Bayesian semi non-negative matrix factorisation
(I6doc.com, 2016)
Conference report
Open AccessNon-negative Matrix Factorisation (NMF) has become a standard method for source identification when data, sources and mixing coefficients are constrained to be positive-valued. The method has recently been extended to allow ... -
A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference lecture
Open AccessAlgorithmic 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 decision making support tool: The resilience management fuzzy controller
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference report
Open AccessIn 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 ... -
Multivariate dynamic kernels for financial time series forecasting
(Springer, 2016)
Conference report
Open AccessWe propose a forecasting procedure based on multivariate dynamic kernels, with the capability of integrating information measured at different frequencies and at irregular time intervals in financial markets. A data ... -
Automated quality control for proton magnetic resonance spectroscopy data using convex non-negative matrix factorization
(Springer, 2016)
Conference report
Open AccessProton Magnetic Resonance Spectroscopy (1H MRS) has proven its diagnostic potential in a variety of conditions. However, MRS is not yet widely used in clinical routine because of the lack of experts on its diagnostic ... -
A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases
(I6doc.com, 2016)
Conference report
Open AccessMachine 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 ... -
Instance and feature weighted k-nearest-neighbors algorithm
(I6doc.com, 2016)
Conference report
Open AccessWe present a novel method that aims at providing a more stable selection of feature subsets when variations in the training process occur. This is accomplished by using an instance-weighting process -assigning different ... -
Physics and machine learning: Emerging paradigms
(I6doc.com, 2016)
Conference report
Open AccessCurrent research in Machine Learning (ML) combines the study of variations on well-established methods with cutting-edge breakthroughs based on completely new approaches. Among the latter, emerging paradigms from Physics ...
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