Data-mining twitter and the autism spectrum disorder: A Pilot study. - Adham Beykikhoshk; Ognjen Arandjelovic; Dinh Q. Phung; Svetha Venkatesh; Terry Caelli (ASONAM, 2014)

Overcoming Data Scarcity of Twitter: Using Tweets as Bootstrap with Application to Autism-Related Topic Content Analysis. - Adham Beykikhoshk; Ognjen Arandjelovic; Dinh Q. Phung; Svetha Venkatesh (ASONAM, 2015)

Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and Its Application to Autism Research Literature. - Adham Beykikhoshk; Ognjen Arandjelovic; Svetha Venkatesh; Dinh Q. Phung (PAKDD (1), 2015)

Using Twitter to learn about the autism community. - Adham Beykikhoshk; Ognjen Arandjelovic; Dinh Q. Phung; Svetha Venkatesh; Terry Caelli (Soc. Netw. Anal. Min., 2015)

Analysing the History of Autism Spectrum Disorder Using Topic Models. - Adham Beykikhoshk; Dinh Q. Phung; Ognjen Arandjelovic; Svetha Venkatesh (DSAA, 2016)

Discovering topic structures of a temporally evolving document corpus. - Adham Beykikhoshk; Ognjen Arandjelovic; Dinh Q. Phung; Svetha Venkatesh (Knowl. Inf. Syst., 2018)

Model uncertainty quantification for diagnosis of each main coronary artery stenosis. - Roohallah Alizadehsani; Mohamad Roshanzamir; Moloud Abdar; Adham Beykikhoshk; Mohammad Hossein Zangooei; Abbas Khosravi; Saeid Nahavandi; Ru-San Tan; U. Rajendra Acharya (Soft Comput., 2020)

Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. - Roohallah Alizadehsani; Mohamad Roshanzamir; Moloud Abdar; Adham Beykikhoshk; Abbas Khosravi; Saeid Nahavandi; Pawel Plawiak; Ru-San Tan; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2022)

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). - Roohallah Alizadehsani; Mohamad Roshanzamir; Sadiq Hussain; Abbas Khosravi; Afsaneh Koohestani; Mohammad Hossein Zangooei; Moloud Abdar; Adham Beykikhoshk; Afshin Shoeibi; Assef Zare; Maryam Panahiazar; Saeid Nahavandi; et al. (Ann. Oper. Res., 2024)