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Results for: Adham Beykikhoshk

Discovering topic structures of a temporally evolving document corpus

A. Beykikhoshk, O. Arandjelovic, D. Phung, S. Venkatesh

2018 / Vol. 55, pp. 599 - 632 / Knowledge and Information Systems

Knowledge Discovery and Probabilistic Models of Online Autism Spectrum Disorder Data

A. Beykikhoshk

2017 / Doctor of Philosophy (Information Technology), School of Information Technology

Analysing the History of Autism Spectrum Disorder using Topic Models

A. Beykikhoshk, O. Arandjelovic, S. Venkatesh, D. Phung

2016 / pp. 762 - 771 / Proceedings of the 3rd International Conference on Data Science and Advanced Analytics (DSAA '16)

Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis

A. Beykikhoshk, O. Arandjelovic, D. Phung, S. Venkatesh

2015 / pp. 1354 - 1361 / Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015

Hierarchical Dirichlet process for tracking complex topical structure evolution and its application to autism research literature

A. Beykikhoshk, O. Arandjelovic, S. Venkatesh, D. Phung

2015 / pp. 550 - 562 / Pacific-Asia Conference on Knowledge Discovery and Data Mining