Prof Yan Li
Cited by
Cited by
Machine learning for survival analysis: A survey
P Wang, Y Li, CK Reddy
ACM Computing Surveys (CSUR) 51 (6), 1-36, 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
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
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
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
EEG signal analysis and classification
S Siuly, Y Li, Y Zhang
IEEE Trans Neural Syst Rehabilit Eng 11, 141-144, 2016
Estimation of mutual information: A survey
J Walters-Williams, Y Li
Rough Sets and Knowledge Technology: 4th International Conference, RSKT 2009 …, 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
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
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
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
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
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
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
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
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
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
Complex networks approach for EEG signal sleep stages classification
M Diykh, Y Li
Expert Systems with Applications 63, 241-248, 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
Privacy leakage analysis in online social networks
Y Li, Y Li, Q Yan, RH Deng
Computers & Security 49, 239-254, 2015
The system can't perform the operation now. Try again later.
Articles 1–20