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Mostrando ítems 1-10 de 71
Modeling neonatal EEG using multi-output Gaussian processes
(IEEE, 2022)
Neonatal seizures are sudden events in brain activity with detrimental effects in neurological functions usually related to epileptic fits. Though neonatal seizures can be identified from electroencephalography (EEG), this ...
HOW FAR DO WE GET USING MACHINE LEARNING BLACK-BOXES?
(World Scientific Publ Co Pte LtdSingaporeSingapura, 2012)
A MATLAB SMO implementation to train a SVM classifier: Application to multi-style license plate numbers recognition
(Image Processing on Line, 2018-05)
This paper implements the Support Vector Machine (SVM) training procedure proposed by John Platt denominated Sequential Minimimal Optimization (SMO). The application of this system involves a multi-style license plate ...
Neural network ensembles: immune-inspired approaches to the diversity of components
(SpringerDordrechtHolanda, 2010)
A new multi-label dataset for Web attacks CAPEC classification using machine learning techniques
Context: There are many datasets for training and evaluating models to detect web attacks, labeling each request as normal or attack. Web attack protection tools must provide additional information on the type of attack ...
Um algoritmo de nuvem de partículas para combinação de classificadores em aprendizado multi-visão
(Universidade Federal de Minas GeraisUFMG, 2011-03-25)
The multi-view or multi-modality learning approach is becoming popular for providing different representations of a problem from which classifiers can learn from. Given the task of video classification, for example, the ...
Modelos para detecção de fraudes utilizando técnicas de aprendizado de máquina
(2018-02-12)
Devido à massificação da concessão do crédito no Brasil, proporcionada principalmente pelo desenvolvimento tecnológico, o combate a fraudes tornou-se imprescindível no âmbito das instituições financeiras, pois mesmo com ...
Multi-output model with box-jenkins operators of quadratic indices for prediction of malaria and cancer inhibitors targeting ubiquitin-proteasome pathway (UPP) proteins
(Bentham Science Publishers B.V., 2016)
The ubiquitin-proteasome pathway (UPP) is the primary degradation system of short-lived regulatory proteins. Cellular processes such as the cell cycle, signal transduction, gene expression, DNA repair and apoptosis are ...
Multi-class Superfamily Prediction Using 3D Models Enriched with Physicochemical Properties.
(Universidad del ValleColombia, 2016-07-08)
(Eng) In this paper, two new methods that address the multi-class superfamily prediction problem are presented. In the multi-class superfamily recognition problem each amino acid sequence has to be classified into one of ...