Výsledky vyhledávání - "Blaiotta, Claudia"

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Autor: Saranrittichai, Piyapat, Mummadi, Chaithanya Kumar, Blaiotta, Claudia, Munoz, Mauricio, Fischer, Volker

Open Set Recognition (OSR) extends image classification to an open-world setting, by simultaneously classifying known classes and identifying unknown ones. While conventional OSR approaches can detect Out-of-Distribution (OOD) samples, they cannot pr

Externí odkaz: http://arxiv.org/abs/2208.06809

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Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain

Autor: Saranrittichai, Piyapat, Mummadi, Chaithanya Kumar, Blaiotta, Claudia, Munoz, Mauricio, Fischer, Volker

Shortcut learning occurs when a deep neural network overly relies on spurious correlations in the training dataset in order to solve downstream tasks. Prior works have shown how this impairs the compositional generalization capability of deep learnin

Externí odkaz: http://arxiv.org/abs/2207.10002

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Dissertation/ Thesis

Bayesian generative learning of brain and spinal cord templates from neuroimaging datasets

Autor: Blaiotta, Claudia

In the field of neuroimaging, Bayesian modelling techniques have been largely adopted and recognised as powerful tools for the purpose of extracting quantitative anatomical and functional information from medical scans. Nevertheless the potential of

Externí odkaz: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.746947

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Generative diffeomorphic atlas construction from brain and spinal cord MRI data

Autor: Blaiotta, Claudia, Freund, Patrick, Cardoso, M. Jorge, Ashburner, John

In this paper we will focus on the potential and on the challenges associated with the development of an integrated brain and spinal cord modelling framework for processing MR neuroimaging data. The aim of the work is to explore how a hierarchical ge

Externí odkaz: http://arxiv.org/abs/1707.01342

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