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Combining novelty and popularity on personalised recommendations via user profile learning
(2020-05-15)
Recommender systems have been widely used by large companies in the e-commerce segment as aid tools in the search for relevant contents according to the user’s particular preferences. A wide variety of algorithms have been ...
An approach to the application of a modified Fick's diffusion model: Development of an algorithm
(International Information and Engineering Technology Association, 2019-09-28)
In the present work, we studied the mathematical characteristics of a modified Fick's diffusion model which is widely used for modelling the extraction kinetics of various compounds because it allows to describe the mass ...
The contribution of HGAL/GCET2 in immunohistological algorithms: a comparative study in 424 cases of nodal diffuse large B-cell lymphoma
(NATURE PUBLISHING GROUPNEW YORK, 2012)
Diffuse large B-cell lymphoma can be subclassified into at least two molecular subgroups by gene expression profiling: germinal center B-cell like and activated B-cell like diffuse large B-cell lymphoma. Several ...
A Model for the Diffusive Filling-In Algorithm Operating in Spike Mode
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2019)
Simple, fast and accurate implementation of the diffusion approximation algorithm for stochastic ion channels with multiple states
(PUBLIC LIBRAY OF SCIENCE, 2012)
Modelagem e simulação do processo de difusão de corantes em fibras têxteis e estimativa do coeficiente de difusão mássica via algoritmo genético
(Universidade Tecnológica Federal do ParanáApucaranaBrasilEngenharia TêxtilUTFPR, 2018-06-12)
This work studied the diffusion of dye in textile fibers using a theorical methodology. The diffusion of dye in fiber was modeled by the second Fick’s Law of diffusion in cylindrical coordinates for the unidimensional case ...
Unsupervised rank diffusion for content-based image retrieval
(2017-10-18)
Despite the continuous development of features and mid-level representations, effectively and reliably measuring the similarity among images remains a challenging problem in image retrieval tasks. Once traditional measures ...