All Outputs (2)

TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies (2020)
Conference Proceeding
Jaroucheh, Z., Alissa, M., Buchanan, W. J., & Liu, X. (2020). TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC 2020) (1215-1220)

The growing trend of sharing news/contents, through social media platforms and the World Wide Web has been seen to impact our perception of the truth, altering our views about politics, economics, relationships, needs and wants. This is because of th... Read More about TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies.

A Deep Learning Approach to Predicting Solutions in Streaming Optimisation Domains (2020)
Conference Proceeding
Alissa, M., Sim, K., & Hart, E. (2020). A Deep Learning Approach to Predicting Solutions in Streaming Optimisation Domains. . https://doi.org/10.1145/3377930.3390224

In the field of combinatorial optimisation, per-instance algorithm selection still remains a challenging problem, particularly with respect to streaming problems such as packing or scheduling. Typical approaches involve training a model to predict th... Read More about A Deep Learning Approach to Predicting Solutions in Streaming Optimisation Domains.