| Machine learning for survival analysis: A survey P Wang, Y Li, CK Reddy ACM Computing Surveys (CSUR) 51 (6), 1-36, 2019 | 438 | 2019 |
| Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal G Zhu, Y Li, P Wen IEEE journal of biomedical and health informatics 18 (6), 1813-1821, 2014 | 360 | 2014 |
| Clustering technique-based least square support vector machine for EEG signal classification Y Li, PP Wen Computer methods and programs in biomedicine 104 (3), 358-372, 2011 | 239 | 2011 |
| Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia MS Al-Musaylh, RC Deo, JF Adamowski, Y Li Advanced Engineering Informatics 35, 1-16, 2018 | 232 | 2018 |
| Improving the separability of motor imagery EEG signals using a cross correlation-based least square support vector machine for brain–computer interface Y Li IEEE Transactions on Neural Systems and Rehabilitation Engineering 20 (4 …, 2012 | 194 | 2012 |
| EEG signal analysis and classification S Siuly, Y Li, Y Zhang IEEE Trans Neural Syst Rehabilit Eng 11, 141-144, 2016 | 188 | 2016 |
| Estimation of mutual information: A survey J Walters-Williams, Y Li Rough Sets and Knowledge Technology: 4th International Conference, RSKT 2009 …, 2009 | 172 | 2009 |
| Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm G Zhu, Y Li, PP Wen Computer methods and programs in biomedicine 115 (2), 64-75, 2014 | 159 | 2014 |
| A multi-task learning formulation for survival analysis Y Li, J Wang, J Ye, CK Reddy Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 154 | 2016 |
| EEG sleep stages classification based on time domain features and structural graph similarity M Diykh, Y Li, P Wen IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (11 …, 2016 | 145 | 2016 |
| An efficient DDoS TCP flood attack detection and prevention system in a cloud environment A Sahi, D Lai, Y Li, M Diykh IEEE Access 5, 6036-6048, 2017 | 136 | 2017 |
| Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition R Prasad, RC Deo, Y Li, T Maraseni Geoderma 330, 136-161, 2018 | 135 | 2018 |
| Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm R Prasad, RC Deo, Y Li, T Maraseni Atmospheric Research 197, 42-63, 2017 | 135 | 2017 |
| A T-wave alternans assessment method based on least squares curve fitting technique X Wan, Y Li, C Xia, M Wu, J Liang, NA Wang Measurement 86, 93-100, 2016 | 123 | 2016 |
| Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification S Siuly, Y Li Computer methods and programs in biomedicine 119 (1), 29-42, 2015 | 114 | 2015 |
| Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon … MS Al-Musaylh, RC Deo, Y Li, JF Adamowski Applied energy 217, 422-439, 2018 | 112 | 2018 |
| Epileptogenic focus detection in intracranial EEG based on delay permutation entropy G Zhu, Y Li, PP Wen, S Wang, M Xi AIP conference proceedings 1559 (1), 31-36, 2013 | 111 | 2013 |
| Complex networks approach for EEG signal sleep stages classification M Diykh, Y Li Expert Systems with Applications 63, 241-248, 2016 | 92 | 2016 |
| Classification of epileptic EEG signals based on simple random sampling and sequential feature selection HRA Ghayab, Y Li, S Abdulla, M Diykh, X Wan Brain informatics 3 (2), 85-91, 2016 | 91 | 2016 |
| Privacy leakage analysis in online social networks Y Li, Y Li, Q Yan, RH Deng Computers & Security 49, 239-254, 2015 | 90 | 2015 |
