32 resultados para Sexual expression


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Mestrado em Estudos sobre as mulheres. As mulheres na sociedade e na cultura

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Dissertação para obtenção do Grau de Mestre em Biotecnologia

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática

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Dissertation presented to obtain the Ph.D degree in Biology

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Dissertation presented to obtain the Ph.D degree in Biology

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Biochemistry. 2009 Feb 10;48(5):873-82. doi: 10.1021/bi801773t.

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Dissertação para obtenção do Grau de Doutor em Biologia

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Dissertation presented to obtain the Ph.D degree in Biology

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Dissertation presented to obtain the Ph.D degree in Biology

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Dissertação apresentada para a obtenção do Grau de Mestre em Biotecnologia, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

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Dissertation presented to obtain the Ph.D degree in Systems Biology

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Dissertation presented to obtain the Ph.D degree in Plant Physiology

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Dissertation presented to obtain the Master Degree in Molecular, Genetics and Biomedicine

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The computational power is increasing day by day. Despite that, there are some tasks that are still difficult or even impossible for a computer to perform. For example, while identifying a facial expression is easy for a human, for a computer it is an area in development. To tackle this and similar issues, crowdsourcing has grown as a way to use human computation in a large scale. Crowdsourcing is a novel approach to collect labels in a fast and cheap manner, by sourcing the labels from the crowds. However, these labels lack reliability since annotators are not guaranteed to have any expertise in the field. This fact has led to a new research area where we must create or adapt annotation models to handle these weaklylabeled data. Current techniques explore the annotators’ expertise and the task difficulty as variables that influences labels’ correction. Other specific aspects are also considered by noisy-labels analysis techniques. The main contribution of this thesis is the process to collect reliable crowdsourcing labels for a facial expressions dataset. This process consists in two steps: first, we design our crowdsourcing tasks to collect annotators labels; next, we infer the true label from the collected labels by applying state-of-art crowdsourcing algorithms. At the same time, a facial expression dataset is created, containing 40.000 images and respective labels. At the end, we publish the resulting dataset.

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Land plant evolution required the generation of a new body plan that could resist the harsher and fluctuating environmental conditions found outside of aquatic environments. Unraveling the genetic basis of plant developmental innovations is not only revealing in terms of an evolutionary point of view, but it is also important for understanding the emergence of agronomically important traits. Comparative genetic studies between basal and modern land plants, both at the genome and trancriptome levels, can help in the generation of hypotheses related to the genetic basis of plant evolutionary development.(...)