Goce Ristanoski

According to our database, Goce Ristanoski authored at least 11 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning.

Erdi Gao, Goce Ristanoski, Uwe Aickelin, David Berlowitz, Mark Howard

Proceedings of the Artificial Intelligence in Medicine, 2022

2021

A Clustering-Prediction Pipeline for Customer Churn Analysis.

Hanming Zheng, Ling Luo, Goce Ristanoski

Proceedings of the Knowledge Science, Engineering and Management, 2021

Primary Care Datasets for Early Lung Cancer Detection: An AI Led Approach.

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

Proceedings of the Artificial Intelligence in Medicine, 2021

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

Proceedings of the ACSW '21: 2021 Australasian Computer Science Week Multiconference, 2021

2020

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

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

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2017

Clustering Aided Support Vector Machines.

Goce Ristanoski, Rahul Soni, Sutharshan Rajasegarar, James Bailey, Christopher Leckie

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

2014

Distribution enhanced data mining methods for time series forecasting.

Goce Ristanoski

PhD thesis, 2014

2013

Time Series Forecasting Using Distribution Enhanced Linear Regression.

Goce Ristanoski, Wei Liu, James Bailey

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

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

Goce Ristanoski, Wei Liu, James Bailey

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

Discrimination aware classification for imbalanced datasets.

Goce Ristanoski, Wei Liu, James Bailey

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2011

Distribution Based Data Filtering for Financial Time Series Forecasting.

Goce Ristanoski, James Bailey

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011