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
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
Yang LinUniversity of New South WalesVerified email at ad.unsw.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
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
sanjay chawlaQatar Computing Research Institute, HBKUVerified email at sydney.edu.au
Ronnie TaibData61 / CSIROVerified email at data61.csiro.au
Silvia ParetiUniversity of Edinburgh and Google Inc.Verified email at ai4privacy.com
Bin LiFudan UniversityVerified email at fudan.edu.cn

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	660	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	439	2008
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	259	2019
Correlation and instance based feature selection for electricity load forecasting I Koprinska, M Rana, VG Agelidis Knowledge-Based Systems 82, 29-40, 2015	256	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	250	2010
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	250	2003
Learning to classify e-mail I Koprinska, J Poon, J Clark, J Chan Information Sciences 177 (10), 2167-2187, 2007	242	2007
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	236	2018
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	230	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	211	2009
Forecasting electricity load with advanced wavelet neural networks M Rana, I Koprinska Neurocomputing 182, 118-132, 2016	182	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	150	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	116	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	114	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	111	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	106	2012
2D-interval forecasts for solar power production M Rana, I Koprinska, VG Agelidis Solar Energy 122, 191-203, 2015	105	2015
Initialization of neural networks by means of decision trees I Ivanova, M Kubat Knowledge-Based Systems 8 (6), 333-344, 1995	99	1995
Feature selection for brain-computer interfaces I Koprinska New Frontiers in Applied Data Mining: PAKDD 2009 International Workshops …, 2010	93	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	92*	2011

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