Dr Stephen Tierney
People_

Dr Stephen Tierney

Senior Lecturer
Phone
+61 2 8627 0086
Websites
Dr Stephen Tierney

Stephen Tierney is a lecturer in Business Analytics at The University Sydney Business School. His research interests include machine learning, computer vision, image processing, data visualisation and recommendation systems.

Project titleResearch student
DEEP LEARNING OPTIMIZATION TO PREDICT STOCK MARKET MOVEMENT USING FUNDAMENTAL AND TECHNICAL ANALYSISWidhiyo SUDIYONO

Publications

Journals

  • Guo, Y., Tierney, S., Gao, J. (2021). Efficient sparse subspace clustering by nearest neighbour filtering. Signal Processing, 185, 108082. [More Information]
  • Guo, Y., Tierney, S., Gao, J. (2021). Robust Functional Manifold Clustering. IEEE Transactions on Neural Networks and Learning Systems, 32(2), 777-787. [More Information]

Conferences

  • Guo, Y., Gao, J., Li, F., Tierney, S., Yin, M. (2015). Low rank sequential subspace clustering. 2015 International Joint Conference on Neural Networks (IJCNN 2015), Killarney: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Tierney, S., Guo, Y., Gao, J. (2015). Selective Multi-Source Total Variation Image Restoration. 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015), Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE).
  • Tierney, S., Gao, J., Guo, Y. (2014). Affinity pansharpening and image fusion. The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2014), Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

Report

  • Buchanan, J., Curtis, H., Tierney, S., Callus, R. (2020). NSW Teachers' Pay: How it has changed and how it compares.
  • Buchanan, J., Tierney, S. (2019). Meeting changing skill requirements in NSW in the 2020s: Understanding and working with non-linear, lateral and upward inter-occupational labour flows.

2021

  • Guo, Y., Tierney, S., Gao, J. (2021). Efficient sparse subspace clustering by nearest neighbour filtering. Signal Processing, 185, 108082. [More Information]
  • Guo, Y., Tierney, S., Gao, J. (2021). Robust Functional Manifold Clustering. IEEE Transactions on Neural Networks and Learning Systems, 32(2), 777-787. [More Information]

2020

  • Buchanan, J., Curtis, H., Tierney, S., Callus, R. (2020). NSW Teachers' Pay: How it has changed and how it compares.

2019

  • Buchanan, J., Tierney, S. (2019). Meeting changing skill requirements in NSW in the 2020s: Understanding and working with non-linear, lateral and upward inter-occupational labour flows.

2015

  • Guo, Y., Gao, J., Li, F., Tierney, S., Yin, M. (2015). Low rank sequential subspace clustering. 2015 International Joint Conference on Neural Networks (IJCNN 2015), Killarney: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Tierney, S., Guo, Y., Gao, J. (2015). Selective Multi-Source Total Variation Image Restoration. 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015), Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE).

2014

  • Tierney, S., Gao, J., Guo, Y. (2014). Affinity pansharpening and image fusion. The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2014), Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Tierney, S., Gao, J., Guo, Y. (2014). Subspace clustering for sequential data. 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Tierney, S., Gao, J., Guo, Y. (2014). The W-Penalty and Its Application to Alpha Matting with Sparse Labels. The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2014), Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2013

  • Tierney, S., Bull, G., Gao, J. (2013). Image Matting for Sparse User Input by Iterative Refinement. 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2013), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2012

  • Tierney, S., Gao, J. (2012). Natural image matting with total variation regularisation. International Conference on Digital Image Computing Techniques and Applications (DICTA 2012), Piscataway, New Jersey, United States of America: Institute of Electrical and Electronics Engineers (IEEE). [More Information]