activity
20102022
most citedAggregation by Provenance Types: A Technique for Summarising Provenance Graphs

27 citations · 73 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2022★ 20 cited

On Specifying for Trustworthiness

Dhaminda B. Abeywickrama, Amel Bennaceur, Greg Chance +12

As autonomous systems (AS) increasingly become part of our daily lives, ensuring their trustworthiness is crucial. In order to demonstrate the trustworthiness of an AS, we first ne…

cs.SE2022★ 9 cited

A Methodology and Software Architecture to Support Explainability-by-Design

Trung Dong Huynh, Niko Tsakalakis, Ayah Helal +2

Algorithms play a crucial role in many technological systems that control or affect various aspects of our lives. As a result, providing explanations for their decisions to address…

cs.LG2020★ 1 cited

Provenance Graph Kernel

David Kohan Marzagão, Trung Dong Huynh, Ayah Helal +2

Provenance is a record that describes how entities, activities, and agents have influenced a piece of data; it is commonly represented as graphs with relevant labels on both their…

astro-ph.IM2018★ 16 cited

Prospecting Period Measurements with LSST - Low Mass X-ray Binaries as a Test Case

Michael A. C. Johnson, Poshak Gandhi, Adriane P. Chapman +4

The Large Synoptic Survey Telescope (LSST) will provide for unbiased sampling of variability properties of objects with mag 24. This should allow for those objects whose va…

cs.DB2015★ 27 cited

Aggregation by Provenance Types: A Technique for Summarising Provenance Graphs

Luc Moreau

As users become confronted with a deluge of provenance data, dedicated techniques are required to make sense of this kind of information. We present Aggregation by Provenance Types…

astro-ph.IM2010

Metadata and provenance management

Ewa Deelman, Bruce Berriman, Ann Chervenak +3

Scientists today collect, analyze, and generate TeraBytes and PetaBytes of data. These data are often shared and further processed and analyzed among collaborators. In order to fac…