In the era of digital information, the value of data resides not only in its volume and quality, but also in the additional information that can be inferred from the combination (a...
Daniele Braga, Francesco Corcoglioniti, Michael Gr...
In the present paper we propose a method for fast segmentation of ultrasound data. It is based on setting up a model depending on user input. We apply a matching scheme in order t...
In this paper we present a novel expectation-maximization algorithm for inference of alternative splicing isoform frequencies from high-throughput transcriptome sequencing (RNA-Seq...
Marius Nicolae, Serghei Mangul, Ion I. Mandoiu, Al...
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
In this paper, we propose a new scheduling method for asynchronous circuits in bundled-data implementation. The method is based on integer linear programming (ILP) which explores ...