Shanika Karunasekera

Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection

Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie

Journal article  |  2021  |  INFORMATION PROCESSING & MANAGEMENT

Many recent studies have demonstrated that the propagation patterns of news on social media can facilitate the detection of fake n..

Effective Traffic Forecasting with Multi-Resolution Learning

A Aldwyish, E Tanin, H Xie, S Karunasekera, K Ramamohanarao

Conference Proceedings  |  2021  |  ACM International Conference Proceeding Series

Traffic forecasting plays a vital role in traffic management systems. Recently, deep learning models have been applied to citywide..

Real-time spatio-temporal event detection on geotagged social media

Yasmeen George, Shanika Karunasekera, Aaron Harwood, Kwan Hui Lim

Journal article  |  2021  |  JOURNAL OF BIG DATA

A key challenge in mining social media data streams is to identify events which are actively discussed by a group of people in a s..

Deadline-aware Dynamic Resource Management in Serverless Computing Environments

Anupama Mampage, Shanika Karunasekera, Rajkumar Buyya

Conference Proceedings  |  2021  |  2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

SLA-based Scheduling of Spark Jobs in Hybrid Cloud Computing Environments

MT Islam, H Wu, S Karunasekera, R Buyya

Journal article  |  2021  |  IEEE Transactions on Computers

Big data frameworks such as Apache Spark are becoming prominent to perform large-scale data analytics jobs. However, local or on-p..

Platooning Graph for Safer Traffic Management

L Muthugama, S Karunasekera, E Tanin

Conference Proceedings  |  2020  |  GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Each year, millions of people either die or get injured due to road incidents. Thus, integrating safety optimization techniques in..

Tracking Group Movement in Location Based Social Networks

S Kannangara, H Xie, E Tanin, A Harwood, S Karunasekera

Conference Proceedings  |  2020  |  Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

We study the problem of tracking the movement of groups using sparse trajectory data extracted from Location Based Social Networks..

METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams

A Silva, S Karunasekera, C Leckie, L Luo

Conference Proceedings  |  2020  |  CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Many learning tasks involve multi-modal data streams, where continuous data from different modes convey a comprehensive descriptio..

ECSNeT : A simulator for distributed stream processing on edge and cloud environments

G Amarasinghe, MD de Assunção, A Harwood, S Karunasekera

Journal article  |  2020  |  Future Generation Computer Systems

The objective of Internet of Things (IoT) is ubiquitous computing. As a result many computing enabled, connected devices are deplo..

Introducing Diversion Graph for Real-Time Spatial Data Analysis with Location Based Social Networks

S Kannangara, H Xie, E Tanin, A Harwood, S Karunasekera

Conference Proceedings  |  2020  |  Leibniz International Proceedings in Informatics, LIPIcs