Goce Ristanoski

12 papers A* 2A 1B 2C 1Journal 1Unranked 4
YearRankTypeTitle / Venue / Authors
2022 B conf
Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning.
AIME
Erdi Gao, Goce Ristanoski, Uwe Aickelin, David Berlowitz, Mark Howard
2021 C conf
A Clustering-Prediction Pipeline for Customer Churn Analysis.
KSEM
Hanming Zheng, Ling Luo, Goce Ristanoski
2021 — conf
Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods.
ACSW
Goce Ristanoski, Jon Emery, Javiera Martinez-Gutierrez, Damien McCarthy, Uwe Aickelin
2021 B conf
Primary Care Datasets for Early Lung Cancer Detection: An AI Led Approach.
AIME
Goce Ristanoski, Jon Emery, Javiera Martinez-Gutierrez, Damien McCarthy, Uwe Aickelin
2020 J jnl
Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods.
CoRR
Goce Ristanoski, Jon Emery, Javiera Martinez-Gutierrez, Damien McCarthy, Uwe Aickelin
2020 A* conf
Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction.
ICDM
Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie
2017 — conf
Clustering Aided Support Vector Machines.
MLDM
Goce Ristanoski, Rahul Soni, Sutharshan Rajasegarar, James Bailey, Christopher Leckie
2014 — —
Distribution enhanced data mining methods for time series forecasting.
Goce Ristanoski
2013 A* conf
A time-dependent enhanced support vector machine for time series regression.
KDD
Goce Ristanoski, Wei Liu, James Bailey
2013 A conf
Discrimination aware classification for imbalanced datasets.
CIKM
Goce Ristanoski, Wei Liu, James Bailey
2013 — conf
Time Series Forecasting Using Distribution Enhanced Linear Regression.
PAKDD (1)
Goce Ristanoski, Wei Liu, James Bailey
2011 — conf
Distribution Based Data Filtering for Financial Time Series Forecasting.
Australasian Conference on Artificial Intelligence
Goce Ristanoski, James Bailey