Listar por autor "Stoean, Ruxandra"
Mostrando ítems 1-8 de 8
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Combined Machine Learning Techniques for Decision Making Support in Medicine
(2016-05-16)Computational intelligent support for decision making is becoming increasingly popular and essential among medical professionals. Also, with the modern medical devices being capable to communicate with ICT, created models ... -
Dynamic clustering of time series with Echo State Networks
Atencia-Ruiz, Miguel Alejandro
; Stoean, Catalin; Stoean, Ruxandra; Rodriguez Labrada, Roberto; Joya-Caparrós, Gonzalo (2019-06-05)
In this paper we introduce a novel methodology for unsupervised analysis of time series, based upon the iterative implementation of a clustering algorithm embedded into the evolution of a recurrent Echo State Network. The ... -
Hybridization and optimization of machine learning techniques for improved forecasting in real-world scenarios
(2017-02-14)Different and powerful machine learning paradigms are constantly in a race for delivering the lowest error and/or the highest comprehensibility. But what can certainly lead to better forecasting is model inter-cooperation ... -
Non-negative matrix factorization for medical imaging
Stoean, Ruxandra; Atencia-Ruiz, Miguel Alejandro (i6doc.com, 2018)
A non-negative matrix factorization approach to dimensionality reduction is proposed to aid classification of images. The original images can be stored as lower-dimensional columns of a matrix that hold degrees of belonging ... -
On building LSTM and CNN architectures for modeling time series data
(2019-04-18)Stock price prediction is one very challenging and desirable real-world task. The challenge comes from the very dynamic nature of stock movement that is triggered by many different known and unknown factors. An accurate ... -
On the Prospective Use of Deep Learning Systems for Earthquake Forecasting over Schumann Resonances Signals
Cano-Domingo, Carlos; Stoean, Ruxandra; Novas-Castellano, Nuria; Fernandez-Ros, Manuel; Joya-Caparrós, Gonzalo; Gázquez-Parra, Jose A.[et al.] (IOAP-MPDI, 2022-06-21)
La relación entre las resonancias de Schumann y los terremotos fue propuesta hace más de 50 años; sin embargo, el apoyo experimental no se ha establecido completamente. Una cantidad considerable de estudios recientes se ... -
On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs
(SYNACS Conference Publishing Service (CPS), 2022)It is impressive when one gets to see a hundreds or thousands years old artefact exhibited in the museum, whose appearance seems to have been untouched by centuries. Its restoration had been in the hands of a multidisciplinary ... -
Unsupervised learning as a complement to convolutional neural network classification in the analysis of saccadic eye movement in spino-cerebellar ataxia type 2
Stoean, Catalin; Stoean, Ruxandra; Becerra-García, Roberto Antonio; Atencia-Ruiz, Miguel Alejandro; García-Lagos, Francisco; Velázquez-Pérez, Luis; Joya-Caparrós, Gonzalo; García-Bermúdez, Rodolfo[et al.] (2019-06-17)
This paper aims at assessing spino-cerebellar type 2 ataxiaby classifying electrooculography records into registers corresponding to healthy, presymptomatic and ill individuals. The primary used technique is the convolutional ...