| Temporal video segmentation: A survey I Koprinska, S Carrato Signal processing: Image communication 16 (5), 477-500, 2001 | 689 | 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 | 435 | 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 | 253 | 2010 |
| 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 | 251 | 2018 |
| 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 |
| 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 | 234 | 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 | 184 | 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 | 155 | 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 | 122 | 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 | 110 | 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 | 106 | 2012 |
| Initialization of neural networks by means of decision trees I Ivanova, M Kubat Knowledge-Based Systems 8 (6), 333-344, 1995 | 100 | 1995 |
| Feature selection for brain-computer interfaces I Koprinska Pacific-Asia conference on knowledge discovery and data mining, 106-117, 2009 | 96 | 2009 |
| 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 | 93* | 2011 |
Kalina YacefThe University of Sydney在 sydney.edu.au 的電子郵件地址已通過驗證
