Irena Koprinska

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	Toate	Din 2020
Referințe bibliografice	6993	3252
h-index	41	30
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Kalina YacefThe University of SydneyAdresă de e-mail confirmată pe sydney.edu.au
Md Mashud RanaData61 | CSIROAdresă de e-mail confirmată pe data61.csiro.au
Judy KayUniversity of SydneyAdresă de e-mail confirmată pe sydney.edu.au
Josiah PoonUniversity of SydneyAdresă de e-mail confirmată pe sydney.edu.au
Luiz Augusto PizzatoCommonwealth Bank of AustraliaAdresă de e-mail confirmată pe acm.org
Alicia Troncoso (ORCID: 0000-0002-9...Full Professor, Data Science & Big Data Lab, Universidad Pablo de OlavideAdresă de e-mail confirmată pe upo.es
Shlomo BerkovskyMacquarie UniversityAdresă de e-mail confirmată pe mq.edu.au
Jessica McBroomUniversity of SydneyAdresă de e-mail confirmată pe uni.sydney.edu.au
Francisco Martínez-ÁlvarezFull Professor, Data Science & Big Data Lab, Pablo de Olavide University of Seville, SpainAdresă de e-mail confirmată pe upo.es
Tim O'KeefeCanvaAdresă de e-mail confirmată pe canva.com
James R. CurranSchool of Information Technologies, University of SydneyAdresă de e-mail confirmată pe it.usyd.edu.au
Yang LinUniversity of New South WalesAdresă de e-mail confirmată pe ad.unsw.edu.au
Ling LuoSchool of Computing and Information Systems, The University of MelbourneAdresă de e-mail confirmată pe unimelb.edu.au
Rim HaidarThe University of SydneyAdresă de e-mail confirmată pe uni.sydney.edu.au
Osmar ZaianeUniversity of Alberta - Alberta Machine Intelligence Institute, Canada CIFAR AI ChairAdresă de e-mail confirmată pe cs.ualberta.ca
Benjamin PaassenBielefeld UniversityAdresă de e-mail confirmată pe techfak.uni-bielefeld.de
sanjay chawlaQatar Computing Research Institute, HBKUAdresă de e-mail confirmată pe sydney.edu.au
Ronnie TaibData61 / CSIROAdresă de e-mail confirmată pe data61.csiro.au
Silvia ParetiUniversity of Edinburgh and Google Inc.Adresă de e-mail confirmată pe ai4privacy.com
Bin LiFudan UniversityAdresă de e-mail confirmată pe fudan.edu.cn

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Irena Koprinska

School of Computer Science, University of Sydney

Adresă de e-mail confirmată pe sydney.edu.au - Pagina de pornire

Machine Learning Data Mining Neural Networks Medical Informatics Educational Data Mining


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Temporal video segmentation: A survey I Koprinska, S Carrato Signal processing: Image communication 16 (5), 477-500, 2001	688	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	434	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	255	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	249	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	248	2003
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	244	2018
Learning to classify e-mail I Koprinska, J Poon, J Clark, J Chan Information Sciences 177 (10), 2167-2187, 2007	238	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	231	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	212	2009
Forecasting electricity load with advanced wavelet neural networks M Rana, I Koprinska Neurocomputing 182, 118-132, 2016	183	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	154	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	118	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	113	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	109	2013
2D-interval forecasts for solar power production M Rana, I Koprinska, VG Agelidis Solar Energy 122, 191-203, 2015	107	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	105	2012
Initialization of neural networks by means of decision trees I Ivanova, M Kubat Knowledge-Based Systems 8 (6), 333-344, 1995	98	1995
Feature selection for brain-computer interfaces I Koprinska New Frontiers in Applied Data Mining: PAKDD 2009 International Workshops …, 2010	96	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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