Goce Ristanoski

AI based cancer detection models using primary care datasets

Goce Ristanoski, Jon Emery, Javiera Martinez Gutierrez, Damien MCCARTHY, Uwe Aickelin

Conference Proceedings  |  2021  |  International Conference Proceedings Series

Cancer is one of the most common and serious medical conditions with more than 144 000 Australians having been diagnosed with canc..

Handling uncertainty using features from pathology: Opportunities in primary care data for developing high risk cancer survival methods

G Ristanoski, J Emery, J Martinez Gutierrez, D McCarthy, U Aickelin

Conference Proceedings  |  2021  |  ACM International Conference Proceeding Series

More than 144 000 Australians were diagnosed with cancer in 2019. Diagnosing cancer in primary care is challenging due to the non-..

Primary care datasets for early lung cancer detection: an AI led approach

Goce Ristanoski, Jon Emery, Javiera Martinez Gutierrez, Damien McCarthy, Uwe Aickelin

Conference Proceedings  |  2021  |  Artificial Intelligence in Medicine

Cancer is one of the most common and serious medical conditions, with significant challenges in the detection of cancer originatin..

Patient-Ventilator Asynchrony Detection via Similarity Search Methods

Chenyang Wang, Uwe Aickelin, Ling Luo, Goce Ristanoski

Conference Proceedings  |  2021  |  ICMHI 2021 Proceeding

Patient-ventilator asynchrony (PVA) is a common cause of ventilation-related medical complications and are traditionally only able..

Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction

Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie

Conference Proceedings  |  2020  |  20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2020)

To provide effective services for intelligent transportation systems (ITS), such as optimizing ride services and recommending trip..

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..

Clustering aided support vector machines

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

Conference Proceedings  |  2017  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Support Vector Machines (SVMs) have proven to be an effective approach to learning a classifier from complex datasets. However, hi..

Time series forecasting using distribution enhanced linear regression

G Ristanoski, W Liu, J Bailey

Conference Proceedings  |  2013  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Amongst the wealth of available machine learning algorithms for forecasting time series, linear regression has remained one of the..

Discrimination Aware Classification for Imbalanced Datasets

G RISTANOSKI, W Liu, J Bailey

Conference Proceedings  |  2013

The problem of learning a discrimination aware model has recently received attention in the data mining community. Various methods..

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

G RISTANOSKI, W Liu, J Bailey

Conference Proceedings  |  2013

Support Vector Machines (SVMs) are a leading tool in ma- chine learning and have been used with considerable success for the task ..