3 citations · 9 across the 6 of their papers we have counts for
6 papers
TAPS Responsibility Matrix: A tool for responsible data science by design
Visara Urovi, Remzi Celebi, Chang Sun +6
Data science is an interdisciplinary research area where scientists are typically working with data coming from different fields. When using and analyzing data, the scientists impl…
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs
Chang Sun, Johan van Soest, Michel Dumontier
Despite the remarkable success of Generative Adversarial Networks (GANs) on text, images, and videos, generating high-quality tabular data is still under development owing to some…
Knowledge Graph for Microdata of Statistics Netherlands
Chang Sun
Statistics Netherlands (CBS) hosted a huge amount of data not only on the statistical level but also on the individual level. With the development of data science technologies, mor…
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…
Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent
Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski +2
Combining data from varied sources has considerable potential for knowledge discovery: collaborating data parties can mine data in an expanded feature space, allowing them to explo…
Analyzing Partitioned FAIR Health Data Responsibly
Chang Sun, Lianne Ippel, Birgit Wouters +11
It is widely anticipated that the use of health-related big data will enable further understanding and improvements in human health and wellbeing. Our current project, funded throu…