Irena Koprinska

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Kalina YacefThe University of SydneyVerified email at sydney.edu.au
Md Mashud RanaData61 | CSIROVerified email at data61.csiro.au
Judy KayUniversity of SydneyVerified email at sydney.edu.au
Bryn JeffriesGrok LearningVerified email at groklearning.com
Josiah PoonUniversity of SydneyVerified email at sydney.edu.au
Luiz Augusto PizzatoCommonwealth Bank of AustraliaVerified email at acm.org
Alicia Troncoso (ORCID: 0000-0002-9...Full Professor, Data Science & Big Data Lab, Universidad Pablo de OlavideVerified email at upo.es
Shlomo BerkovskyMacquarie UniversityVerified email at mq.edu.au
Jessica McBroomUniversity of SydneyVerified email at uni.sydney.edu.au
Francisco Martínez-ÁlvarezFull Professor, Data Science & Big Data Lab, Pablo de Olavide University of Seville, SpainVerified email at upo.es
Tim O'KeefeCanvaVerified email at canva.com
James R. CurranSchool of Information Technologies, University of SydneyVerified email at it.usyd.edu.au
Ling LuoSchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Rim HaidarThe University of SydneyVerified email at uni.sydney.edu.au
Yang LinUniversity of New South WalesVerified email at ad.unsw.edu.au
Osmar ZaianeUniversity of Alberta - Alberta Machine Intelligence Institute, Canada CIFAR AI ChairVerified email at cs.ualberta.ca
Benjamin PaassenBielefeld UniversityVerified email at techfak.uni-bielefeld.de
Ronnie TaibData61 / CSIROVerified email at data61.csiro.au
sanjay chawlaQatar Computing Research Institute, HBKUVerified email at sydney.edu.au
Silvia ParetiUniversity of Edinburgh and Google Inc.Verified email at ai4privacy.com

Irena Koprinska

School of Computer Science, University of Sydney

Verified email at sydney.edu.au - Homepage

Machine Learning Data Mining Neural Networks Medical Informatics Educational Data Mining


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Temporal video segmentation: A survey I Koprinska, S Carrato Signal processing: Image communication 16 (5), 477-500, 2001	656	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	433	2008
Correlation and instance based feature selection for electricity load forecasting I Koprinska, M Rana, VG Agelidis Knowledge-Based Systems 82, 29-40, 2015	249	2015
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	249	2003
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	244	2019
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	242	2010
Learning to classify e-mail I Koprinska, J Poon, J Clark, J Chan Information Sciences 177 (10), 2167-2187, 2007	239	2007
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	222	2016
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	215	2018
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	211	2009
Forecasting electricity load with advanced wavelet neural networks M Rana, I Koprinska Neurocomputing 182, 118-132, 2016	175	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	145	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	113	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	110	2009
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	105	2013
2D-interval forecasts for solar power production M Rana, I Koprinska, VG Agelidis Solar Energy 122, 191-203, 2015	103	2015
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	103	2012
Initialization of neural networks by means of decision trees I Ivanova, M Kubat Knowledge-Based Systems 8 (6), 333-344, 1995	94	1995
Feature selection for brain-computer interfaces I Koprinska New Frontiers in Applied Data Mining: PAKDD 2009 International Workshops …, 2010	90	2010
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	89*	2011

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