Abstract. We apply Uppaal Tiga to automatically compute adaptive scheduling strategies for an industrial case study dealing with a state-of-the-art image processing pipeline of a p...
Israa AlAttili, Fred Houben, Georgeta Igna, Steffe...
Analytical models are a fundamental tool in the development of computer-based systems of every kind: their essential purpose is to support human understanding and reasoning in deve...
This paper presents a model for summarizing multiple untranscribed spoken documents. Without assuming the availability of transcripts, the model modifies a recently proposed unsup...
We present a novel approach to deciding whether two sentences hold a paraphrase relationship. We employ a generative model that generates a paraphrase of a given sentence, and we ...
In this paper, we propose a new Bayesian model for fully unsupervised word segmentation and an efficient blocked Gibbs sampler combined with dynamic programming for inference. Our...
Wikipedia provides a wealth of knowledge, where the first sentence, infobox (and relevant sentences), and even the entire document of a wiki article could be considered as diverse...
We investigate the task of unsupervised constituency parsing from bilingual parallel corpora. Our goal is to use bilingual cues to learn improved parsing models for each language ...
The problem of influence maximization deals with choosing the optimal set of nodes in a social network so as to maximize the resulting spread of a technology (opinion, productowne...
Safe and tight worst-case execution times (WCETs) are important when scheduling hard realtime systems. This paper presents METAMOC, a modular method, based on model checking and s...
Andreas E. Dalsgaard, Mads Chr. Olesen, Martin Tof...
Large scale real-world network data such as social and information networks are ubiquitous. The study of such social and information networks seeks to find patterns and explain th...