Evidence Accumulation in Unsupervised and Semi-Supervised Learning: a Cluster Ensemble Approach

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A web-based platform for biosignal visualization and annotation

Publication . Lourenço, André Ribeiro; Silva, Hugo Plácido da; Carreiras, Carlos; Alves, Ana Priscila; Fred, Ana Luísa Nobre

With the advent of wearable sensing and mobile technologies, biosignals have seen an increasingly growing number of application areas, leading to the collection of large volumes of data. One of the difficulties in dealing with these data sets, and in the development of automated machine learning systems which use them as input, is the lack of reliable ground truth information. In this paper we present a new web-based platform for visualization, retrieval and annotation of biosignals by non-technical users, aimed at improving the process of ground truth collection for biomedical applications. Moreover, a novel extendable and scalable data representation model and persistency framework is presented. The results of the experimental evaluation with possible users has further confirmed the potential of the presented framework.

2014-05Artigo científico

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Entidade financiadora

Fundação para a Ciência e a Tecnologia

Programa de financiamento

3599-PPCDT

Número da atribuição

PTDC/EIA-CCO/103230/2008