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Dr Irena Koprinska
Faculty Member

Contact Details

E-mail: irena.koprinska@sydney.edu.au
Phone: +61 2 9351 3764

School of Information Technologies
Room 450, Building J12
University of Sydney
NSW, 2006, Australia

Web-site: http://sydney.edu.au/it/~irena

Photo of Dr Irena Koprinska

Research Interests

Pattern recognition, Machine Learning, Neural Networks, Data Mining - algorithms and applications; Multimedia, Video Processing, Digital Libraries, Information Retrieval.

About

Recent Publications

M. Rana, I. Koprinska, and A. T. Lora. Forecasting hourly electricity load profile using neural networks. In Neural Networks (IJCNN), 2014 International Joint Conference on, pages 824-831, July 2014. [View Details]

L. Pizzato, T. Rej, J. Akehurst, I. Koprinska, K. Yacef, and J. Kay. Recommending people to people: the nature of reciprocal recommenders with a case study in online dating. User Modeling and User-Adapted Interaction: The Journal of Personalization Research, 23(5):447-488, 2013. [View Details]

T. O'Keefe, J. R. Curran, P. Ashwell, and I. Koprinska. An annotated corpus of quoted opinions in news articles. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), volume 2, pages 516-520, 2013. [View Details]

S. Pareti, T. O'Keefe, I. Konstas, J. R. Curran, and I. Koprinska. Automatically detecting and attributing indirect quotations. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 989-999, 2013. [View Details]

M. Rana, I. Koprinska, and A. Khosravi. Feature selection for neural network-based interval forecasting of electricity demand data. In Artificial Neural Networks and Machine Learning (ICANN), pages 389-396, 2013. [View Details]

M. Rana and I. Koprinska. Wavelet neural networks for electricity load forecasting - dealing with border distortion and shift invariance. In Artificial Neural Networks and Machine Learning (ICANN), pages 571-578, 2013. [View Details]

I. Koprinska, M. Rana, A. T. Lora, and F. Martínez-Álvarez. Combining pattern sequence similarity with neural networks for forecasting electricity demand time series. In The 2013 International Joint Conference on Neural Networks (IJCNN), pages 1-8, 2013. [View Details]

M. Rana, I. Koprinska, A. Khosravi, and V. G. Agelidis. Prediction intervals for electricity load forecasting using neural networks. In The 2013 International Joint Conference on Neural Networks (IJCNN), pages 1-8, 2013. [View Details]

M. Xu, S. Berkovsky, S. Ardon, S. Triukose, A. Mahanti, and I. Koprinska. Catch-up TV recommendations: show old favourites and find new ones. In Seventh ACM Conference on Recommender Systems, RecSys '13, pages 285-294, 2013. [View Details]

L. A. Pizzato, J. Akehurst, C. Silvestrini, I. Koprinska, K. Yacef, and J. Kay. The effect of suspicious profiles on people recommenders. In J. Masthoff, B. Mobasher, M. C. Desmarais, and R. Nkambou, editors, 20th International Conference on User Modeling, Adaptation and Personalization (UMAP 2012), pages 225-236. Springer, 2012. [View Details]

View All Publications