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Unitn-eprints PhD
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1327 Publications
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  • The Development of socio-moral Evaluations in human Infants and Preschoolers

    I will be presenting some empirical findings on the development of socio-moral evaluations in infants and preschoolers, this subject has had a long trajectory in the field of psychology in the last decades. For this reason, it is important that I describe some of the classical theories and recent literature that explains the development of morality. More specifically, I studied next to my collaborators: the emerging capacity of ‘the sense of fairness’, ‘harm’, ‘prosocial helping behaviors’, ...

    Ground state and dynamical properties of many-body systems by non conventional Quantum Monte Carlo algorithms

    In this work we develop Quantum Monte Carlo techniques suitable for exploring both ground state and dynamical properties of interacting many-body systems. We then apply these techniques to the study of excitations in superfluid He4 and to explore the structure of nuclear systems using chiral effective field theory interactions.

    Computational Methods for the Assessment of Brain Connectivity in Visuo-Motor Integration Processes

    The identification of the networks connecting different brain areas, as well as the understanding of their role in executing complex behavioral tasks, are crucial issues in cognitive neurosciences. In this context, several time series analysis approaches are available for the investigation of brain connectivity from non-invasive electroencephalographic (EEG) and magnetoencephalographic (MEG) recordings. Among them, multivariate autoregressive (MVAR) models, studied in the frequency domain, al...

    Advanced Techniques based on Mathematical Morphology for the Analysis of Remote Sensing Images

    Remote sensing optical images of very high geometrical resolution can provide a precise and detailed representation of the surveyed scene. Thus, the spatial information contained in these images is fundamental for any application requiring the analysis of the image. However, modeling the spatial information is not a trivial task. We addressed this problem by using operators defined in the mathematical morphology framework in order to extract spatial features from the image. In this thes...

    Advanced methods for change detection in VHR multitemporal SAR images

    Change detection aims at identifying possible changes in the state of an object or phenomenon by jointly observing data acquired at different times over the same geographical area. In this context, the repetitive coverage and high quality of remotely sensed images acquired by Earth-orbiting satellites make such kind of data an ideal information source for change detection. Among the different kinds of Earth-observation systems, here we focus on Synthetic Aperture Radar (SAR). Differently f...
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