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Laura Silva de Assis

Researcher at Centro Federal de Educação Tecnológica de Minas Gerais

Publications -  17
Citations -  174

Laura Silva de Assis is an academic researcher from Centro Federal de Educação Tecnológica de Minas Gerais. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 4, co-authored 15 publications receiving 123 citations. Previous affiliations of Laura Silva de Assis include Centro Federal de Educação Tecnológica Celso Suckow da Fonseca.

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Journal ArticleDOI

Evaluating Temporal Bias in Time Series Event Detection Methods

TL;DR: In this article, the authors proposed a more comprehensive event detection benchmark process, including an analysis of temporal bias of detection methods, based on the time distance between event detections and identified events (detection delay).
Posted ContentDOI

A Mixed Graph Framework to evaluate the complementarity of communication Tools.

TL;DR: The Mixed Graph Framework (MGF) is presented to address the problem of measuring the complementarity of a NCT in the scenario where some CCT is already established and was able to identify whether a NCT produces significant changes in the overall communications according to some centrality measures.
Proceedings ArticleDOI

Collaborative information system to find efficient routes using public transport

TL;DR: This paper addresses this lack of information on public bus services and presents ShareBus, an information system to improve urban mobility and uses the idea of collaboration to obtain and maintain data, either from users or companies, keeping it as much as possible updated.
Proceedings ArticleDOI

Uma Plataforma Ubíqua e Pervasiva para Distribuição de Conteúdo em Ambientes Educacionais

TL;DR: A ubiquitous and pervasive platform to provide the distribution of educational content using a sensitive model context that can satisfy the specific demands informed by the user, and also respond to the current context, sending personalized content according to predefined aspects such as location, profile, among others.