Goce Ristanoski is a Research Fellow in the School of Computing and Information Systems. He completed his PhD at The University of Melbourne in 2014 in the area of Machine Learning.
His work includes applied Machine Learning and Data Science models in academic and industry environments.
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Displaying the 3 most recent scholarly works by Goce Ristanoski.
Bus travel time prediction with real-time traffic information
Jiaman Ma, Jeffrey Chan, Goce Ristanoski, Sutharshan Rajasegarar, Christopher Leckie
Journal article | 2019 | Transportation Research Part C: Emerging Technologies
An important aspect of Intelligent Public Transportation Systems (IPTS) is providing accurate travel time information. Knowing arr..
Research Fellow In Medical Data Mining
Computing And Information Systems
University of Melbourne
Graduate Diploma in Computer Science and IT
'Sts. Cyril and Methodius' University, Skopje