Lightweight HI source finding for next generation radio surveys
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Due to daylight variability, a design cannot be thoroughly assessed using single-moment simulations, which is why we need dynamic performance metrics like Daylight Autonomy and Useful Daylight Illuminance. Going one step further, the annual variation in pe ...
We build on multiple theoretical perspectives to investigate the unique and joint effects of individual- and opportunity-level factors affecting job creation in new firms. We tested hypotheses using survey data from individuals who transitioned from unempl ...
Migraine often co-occurs with patent foramen ovale (PFO), and some people have suggested surgical closure as an efficient treatment for migraine. Prospective studies, however, do not report radical effect of PFO surgery on migraine. Here, we examined the h ...
This paper investigates the use of a hierarchy of Neural Networks for performing data driven feature extraction. Two different hierarchical structures based on long and short temporal context are considered. Features are tested on two different LVCSR syste ...
This paper investigates the use of a hierarchy of Neural Networks for performing data driven feature extraction. Two different hierarchical structures based on long and short temporal context are considered. Features are tested on two different LVCSR syste ...
Most hardware predictors are table based (e.g. two-level branch predictors) and have exponential size growth in the number of input bits or features (e.g. previous branch outcomes). This growth severely limits the amount of predictive information that such ...
In this paper we consider piecewise affine models of genetic regulatory networks proposed by Glass and Kaufmann in the 70's and discuss a method for their identification. These systems have specific features that must be preserved by the identification pro ...
Standard innovation surveys do not consider incoming spillovers for non-innovative firms. The Swiss innovation surveys presented here measure the importance of competitors' knowledge for both innovating and noninnovating firms. This original feature not on ...
We propose a dynamic faceted search system for discovery-driven analysis on data with both textual content and structured attributes. From a keyword query, we want to dynamically select a small set of "interesting" attributes and present aggregates on them ...
In this paper, we present our spreadsheet framework, which uses a spreadsheet-likeinterface for exploring biomedical datasets. The principles and advantages of this classof visualization systems are illustrated, and a case study for the analysis of hip joi ...