Distribution Based Data Filtering for Financial Time Series Forecasting. - Goce Ristanoski; James Bailey 001 (Australasian Conference on Artificial Intelligence, 2011)

Discrimination aware classification for imbalanced datasets. - Goce Ristanoski; Wei Liu 007; James Bailey 001 (CIKM, 2013)

A time-dependent enhanced support vector machine for time series regression. - Goce Ristanoski; Wei Liu 007; James Bailey 001 (KDD, 2013)

Time Series Forecasting Using Distribution Enhanced Linear Regression. - Goce Ristanoski; Wei Liu 007; James Bailey 001 (PAKDD (1), 2013)

Distribution enhanced data mining methods for time series forecasting. - Goce Ristanoski (2014)

Clustering Aided Support Vector Machines. - Goce Ristanoski; Rahul Soni; Sutharshan Rajasegarar; James Bailey 001; Christopher Leckie (MLDM, 2017)

Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. - Jiaman Ma; Jeffrey Chan; Sutharshan Rajasegarar; Goce Ristanoski; Christopher Leckie (ICDM, 2020)

Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods. - Goce Ristanoski; Jon Emery; Javiera Martinez-Gutierrez; Damien McCarthy; Uwe Aickelin (ACSW, 2021)

Primary Care Datasets for Early Lung Cancer Detection: An AI Led Approach. - Goce Ristanoski; Jon Emery; Javiera Martinez-Gutierrez; Damien McCarthy; Uwe Aickelin (AIME, 2021)

A Clustering-Prediction Pipeline for Customer Churn Analysis. - Hanming Zheng; Ling Luo; Goce Ristanoski (KSEM, 2021)

Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning. - Erdi Gao; Goce Ristanoski; Uwe Aickelin; David Berlowitz; Mark Howard (AIME, 2022)