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Mr

Goce Ristanoski

Research Fellow In Medical Data Mining
Computing And Information Systems
technology
science & technology
computer science, artificial intelligence
computer science
models
computer science, information systems
support vector machine
neural-networks
loss function
Goce Ristanoski's Profile Picture
Mr

Goce Ristanoski

 
Division
Engineering
 
Primary Interest
Machine Learning
Goce Ristanoski's Profile Picture
Mr

Goce Ristanoski

 

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.

Scholarly Works

Displaying the 6 most recent scholarly works by Goce Ristanoski.

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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..

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Clustering aided support vector machines

G Ristanoski, R Soni, S Rajasegarar, J Bailey, C Leckie

Conference Proceedings  |  2017  |  International Conference on Machine Learning and Data Mining in Pattern Recognition

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Time series forecasting using distribution enhanced linear regression

G Ristanoski, W Liu, J Bailey

Conference Proceedings  |  2013  |  Advances in Knowledge Discovery and Data Mining

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Discrimination Aware Classification for Imbalanced Datasets

G RISTANOSKI, W Liu, J Bailey

Conference Proceedings  |  2013  |  Proceedings of the 22nd ACM International Conference on Information & Knowledge Management

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A time-dependent enhanced support vector machine for time series regression

G RISTANOSKI, W Liu, J Bailey

Conference Proceedings  |  2013  |  Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

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Distribution Based Data Filtering for Financial Time Series Forecasting

Goce Ristanoski, James Bailey

Conference Proceedings  |  2011  |  Lecture Notes in Artificial Intelligence: AI 2011 Advances in Artificial Intelligence, Proceedings

6

Scholarly Works

Keyword Analysis

Computer Software and Services
Artificial Intelligence and Image Processing
Communication Networks and Services
Distributed Computing
Econometrics
Information Services
Information Systems
Library and Information Studies

Credentials

Positions

Research Fellow In Medical Data Mining

Computing And Information Systems

Education

PhD

University of Melbourne

Graduate Diploma in Computer Science and IT

'Sts. Cyril and Methodius' University, Skopje

Links