Irena Koprinska
Irena Koprinska
School of Computer Science, University of Sydney
Verifisert e-postadresse på sydney.edu.au
Sitert av
Sitert av
Temporal video segmentation: A survey
I Koprinska, S Carrato
Signal processing: Image communication 16 (5), 477-500, 2001
Clustering and sequential pattern mining of online collaborative learning data
D Perera, J Kay, I Koprinska, K Yacef, OR Zaïane
IEEE Transactions on knowledge and Data Engineering 21 (6), 759-772, 2008
A neural network based approach to automated e-mail classification
J Clark, I Koprinska, J Poon
IEEE/WIC International Conference on Web Intelligence (WI 2003), 702-705, 2003
Correlation and instance based feature selection for electricity load forecasting
I Koprinska, M Rana, VG Agelidis
Knowledge-Based Systems 82, 29-40, 2015
RECON: a reciprocal recommender for online dating
L Pizzato, T Rej, T Chung, I Koprinska, J Kay
Proceedings of the fourth ACM conference on Recommender systems, 207-214, 2010
Learning to classify e-mail
I Koprinska, J Poon, J Clark, J Chan
Information Sciences 177 (10), 2167-2187, 2007
Multi-step forecasting for big data time series based on ensemble learning
A Galicia, R Talavera-Llames, A Troncoso, I Koprinska, ...
Knowledge-Based Systems 163, 830-841, 2019
Univariate and multivariate methods for very short-term solar photovoltaic power forecasting
M Rana, I Koprinska, VG Agelidis
Energy Conversion and Management 121, 380-390, 2016
Feature selection and weighting methods in sentiment analysis
T O’Keefe, I Koprinska
Proceedings of the 14th Australasian document computing symposium, Sydney, 67-74, 2009
Convolutional neural networks for energy time series forecasting
I Koprinska, D Wu, Z Wang
2018 international joint conference on neural networks (IJCNN), 1-8, 2018
Forecasting electricity load with advanced wavelet neural networks
M Rana, I Koprinska
Neurocomputing 182, 118-132, 2016
Detecting personality traits using eye-tracking data
S Berkovsky, R Taib, I Koprinska, E Wang, Y Zeng, J Li, S Kleitman
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
Recommending people to people: the nature of reciprocal recommenders with a case study in online dating
L Pizzato, T Rej, J Akehurst, I Koprinska, K Yacef, J Kay
User Modeling and User-Adapted Interaction 23, 447-488, 2013
Very short-term electricity load demand forecasting using support vector regression
A Setiawan, I Koprinska, VG Agelidis
2009 International Joint Conference on Neural Networks, 2888-2894, 2009
2D-interval forecasts for solar power production
M Rana, I Koprinska, VG Agelidis
Solar Energy 122, 191-203, 2015
Automatically detecting and attributing indirect quotations
S Pareti, T O’keefe, I Konstas, JR Curran, I Koprinska
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
A sequence labelling approach to quote attribution
T O’Keefe, S Pareti, JR Curran, I Koprinska, M Honnibal
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
Initialization of neural networks by means of decision trees
I Ivanova, M Kubat
Knowledge-Based Systems 8 (6), 333-344, 1995
A Hybrid content-collaborative reciprocal recommender for online dating
J Akehurst, I Koprinska, K Yacef, L Pizzato, J Kay, T Rej
International Joint Conference on Artificial Intelligence, IJCAI, 2011
Feature selection for brain-computer interfaces
I Koprinska
New Frontiers in Applied Data Mining: PAKDD 2009 International Workshops …, 2010
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Artikler 1–20