Ruy Milidiu

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During the last 5 years, research on Human Activity Recognition (HAR) has reported on systems showing good overall recognition performance. As a consequence, HAR has been considered as a potential technology for e-health systems. Here, we propose a machine learning based HAR classifier. We also provide a full experimental description that contains the HAR(More)
Human Activity Recognition (HAR) based on wearable sensors is gaining increasing attention by the pervasive computing research community, especially for development of context-aware systems. This paper presents our approach for HAR based on wearable accelerometers and supervised learning algorithms. We present the HARwear device, a wearable for HAR. Using(More)
    In this paper we present AulaNet, an environment for the creation and maintenance of Web-based courses. It differs from other Web-based instruction environments because it lacks the physical elements of the traditional schools, lying over the trivet communication – coordination – cooperation. We also present some future trends in the development of(More)
  • Asociación Española Para La, Inteligencia Artificial, España Milidiú, Ruy Luiz, Duarte, Julio Cesar +3 others
  • 2015
Named Entity Recognition (NER) is an important task in Natural Language Processing. It provides key features that help on more elaborated document management and information extraction tasks. In this paper, we propose seven machine learning approaches that use HMM, TBL and SVM to solve Portuguese NER. The performance of each modeling approach is empirically(More)
Software agents are used to solve several complex problems. To properly build agent systems, it is necessary to create software engineering processes and tools to support all the development phases. Indeed, many modeling languages and i m-plementation frameworks are available for system engineers. However, there are few methods that properly combine(More)
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