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Mostrando ítems 11-20 de 149
Neuropsychiatric Symptoms in Alzheimer's Disease Are Related to Functional Connectivity Alterations in the Salience Network
(Wiley-blackwellHobokenEUA, 2014)
Domain classifier-based transfer learning for visual attention prediction
(Springer, 2022-04)
Benefitting from machine learning techniques based on deep neural networks, data-driven saliency has achieved significant success over the past few decades. However, existing data-hungry models for saliency prediction ...
Brain responses to emotional salience and reward in alcohol use disorder
(Springer, 2016-03)
Heightened neural responsiveness of alcoholics to alcohol cues and social emotion may impede sobriety. To test mesocorticolimbic network responsivity, 10 (8 men) alcohol use disorder (AUD) patients sober for 3 weeks to ...
A saliency-based bottom-up visual attention model for dynamicscenes analysis
(Springer, 2013)
This work proposes a model of visual bottom-up attention for dynamic scene analysis. Our work addsmotion saliency calculations to a neural network model withrealistic temporal dynamics [(e.g., building motion salienceon ...
Padrões de interação estratégica nas eleições presidenciais de 2018: atores e temáticas
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência Política - PPGPolCâmpus São Carlos, 2021-02-25)
Right-wing movements have a growing order today and find support in the pillars and logic of modern democracy, supporting the ideals of liberalism, conservatism, authoritarianism and populism. This recent scenario is ...
Endocannabinoid signaling of homeostatic status modulates functional connectivity in reward and salience networks
Rationale Endocannabinoids are well poised to regulate crosstalk between energy sensing of hunger and satiety and reward-driven motivation. Objectives Here, we aimed to unravel associations between plasma endocannabinoids ...
The role of media networks in compensating political biases: evidence from radio networks in Brazil
(2013-06)
A central question in political economy is how to incentivize elected socials to allocate resources to those that need them the most. Research has shown that, while electoral incentives lead central governments to transfer ...
Domain adaptation applied to the classification of Covid-19 chest CT images.
(Universidad de Concepción.Departamento de Ingeniería Eléctrica, 2023)
One of the most common uses of convolutional neural networks is image classification.
This can be performed in a supervised, semi-supervised and unsupervised manner depending on the available data. This task is specially ...