bachelor's at Computing BSc. from University of Leeds (2002), bachelor's at Bacharelado em Ciência da Computação from Universidade Federal da Paraíba (2002) and master's at Electric Engineering from Instituto Tecnológico de Aeronáutica (2005). Has experience in Computer Science, acting on the following subjects: diabetes, prontuário eletrônico, cartão inteligente, telemetria and rfid. (Source: Lattes Curriculum)
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Recently, the use of robots in daily activities has become common. As a result, the environments are more complex, demanding the robots develop the learning ability through interaction with the environment and other agents. This capacity allows robots to execute activities that have not been pre-programmed. For this, robots must have cognition, which can convert information from different…
In the last decade, the volume of available data has been increasing drastically in quantity as in diversely, reaching its climax during the Covid-19 pandemic. With the evolution of computational techniques for analyzing this information, this growth made areas that had usually concentrated on qualitative approaches start to take into another trend: the quantitative approach. Particularly…
One of the core objectives of machine learning is to learn useful represen- tations. A simple idea that has not been explored in many fields is to train representation-learning functions to maximize mutual information between its inputs and outputs. This idea is powerful because it enables learning features in an unsupervised manner. Unsupervised learning is extremely important in tasks w…
Accurate 3D reconstructions of objects are essential for several applications, from robotics, computer graphics and virtual reality to medicine, geology, agribusiness and architecture. Unmanned aerial vehicles (UAVs) have been increasingly used to capture aerial images as smaller and more accessible models become available on the market. These images can be used to generate high-quality 3…
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