Sept., 2017: Paper presentation given by Yulong Gu at the 27th International Conference on Inductive Logic Programming: “Adaptive Incremental Learning for Statistical Relational Models Using Gradient-Based Boosting“. [ILP Presentation] . [direct link to paper]
July, 2017: Invited talk given at the 14th Annual Meeting of the Bioinformatics Italian Society (BITS’17):
A talk given in Dec. 2016 at Keele University, UK, on the formulation of two ReComp problems: change impact estimation, and conditional stream processing.
Our vision for the selective re-computation of genomics pipelines in reaction to changes to tools and reference datasets.
How do you prioritise patients for re-analysis given a budget?
working notes on how ReComp addresses selective recomputation of a simple variant interpretation workflow for the diagnosis of genetic diseases
internal group seminar, Newcastle University, May 2016:
Paper presentation at the TAPP’16 workshop, McLean, VA, June 2016:
Panel presentation, EDBT, March 2016:
Talk to PhD students in the Scalable Group, School of Computing Science, Newcastle — Nov 2015: