Data analysts operating on large volumes of data often rely on visualizations to interpret the results of queries. However, finding the right visualization for a query is a laborious and time-consuming task. We demonstrate SEEDB, a system that partially automates this task: given a query, SEEDB explores the space of all possible visualizations, and automatically identifies and recommends to the...

Within the research field of HCI task models are widely used for model-based development of interactive systems. Recently introduced approaches applied task models further to model cooperative behaviour of people interacting in smart environments. However there is a lack of usability methods to support the needs of evaluations during a model-based development process for smart environments. Par...

Online documents provide a rich information resource for aiding the generation of concept-map-based knowledge models, but analyzing resources to select concepts and links is a time consuming task. This paper describes ongoing research on harnessing the information in unstructured textual documents, using information extraction algorithms, to generate a preliminary version of a concept map from ...

Prediction of non-functional properties of software architectures requires technologies that enable the application of analytic theories to component models. However, available analytic techniques generally operate on formal models specified in notations that cannot flexibly and intuitively capture the architectures of large-scale distributed systems. The construction of model interpreters that...

In many space science applications, there is a need for the ability to match spectra of unknown objects against a reference spectral database. Whole-spectrum matching has been shown to perform this task effectively, but its performance is strongly linked to end-user choices, as well as specific characteristics of the dataset involved. Conventionally, the task of tuning the matching algorithm fa...

Sound samples metadata are usually limited to a source label and several related textual labels. In the context of sound retrieval this makes the retrieval of sounds having no identifiable source (‘abstract sounds’) a hard task. We propose a description framework focusing on intrinsic perceptual sound qualities, based on Schaeffer’s research on sound objects, which could be used to represent an...

Whole body magnetic resonance imaging (WB-MRI) is the recommended modality for diagnosis of multiple myeloma (MM). WB-MRI used to detect sites disease across entire skeletal system, but it requires significant expertise and time-consuming report due great number images. To aid radiological reading, we propose an auxiliary task-based instance learning approach (ATMIL) MM classification with abil...