An approach for measuring semantic similarity between words using multiple information sources Y Li, ZA Bandar, D McLean IEEE Transactions on knowledge and data engineering 15 (4), 871-882, 2003 | 1630 | 2003 |
Sentence similarity based on semantic nets and corpus statistics Y Li, D McLean, ZA Bandar, JD O'shea, K Crockett IEEE transactions on knowledge and data engineering 18 (8), 1138-1150, 2006 | 1119 | 2006 |
A review of learning in biologically plausible spiking neural networks A Taherkhani, A Belatreche, Y Li, G Cosma, LP Maguire, TM McGinnity Neural Networks 122, 253-272, 2020 | 323 | 2020 |
The measurement of instantaneous angular speed Y Li, F Gu, G Harris, A Ball, N Bennett, K Travis Mechanical systems and signal processing 19 (4), 786-805, 2005 | 234 | 2005 |
Forecasting price movements using technical indicators: Investigating the impact of varying input window length Y Shynkevich, TM McGinnity, SA Coleman, A Belatreche, Y Li Neurocomputing 264, 71-88, 2017 | 196 | 2017 |
Selecting critical patterns based on local geometrical and statistical information Y Li, L Maguire IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (6), 1189-1201, 2011 | 160 | 2011 |
An experimental evaluation of novelty detection methods X Ding, Y Li, A Belatreche, LP Maguire Neurocomputing 135, 313-327, 2014 | 158 | 2014 |
A review of condition monitoring and fault diagnosis for diesel engines NB Jones, YH Li Tribotest / Lubrication Science 6 (3), 267-291, 2000 | 140 | 2000 |
Adaptive learning with covariate shift-detection for motor imagery-based brain–computer interface H Raza, H Cecotti, Y Li, G Prasad Soft Computing 20 (8), 3085-3096, 2016 | 125 | 2016 |
EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments H Raza, G Prasad, Y Li Pattern Recognition 48 (3), 659-669, 2015 | 121 | 2015 |
Adaptive Hidden Markov Model with Anomaly States for Price Manipulation Detection Y Cao, Y Li, S Coleman, A Belatreche, TM McGinnity IEEE Transactions on Neural Networks and Learning Systems 26 (2), 318 – 330, 2015 | 117 | 2015 |
An investigation of the effects of measurement noise in the use of instantaneous angular speed for machine diagnosis F Gu, I Yesilyurt, Y Li, G Harris, A Ball Mechanical systems and signal processing 20 (6), 1444-1460, 2006 | 113 | 2006 |
Feature selection for high-dimensional machinery fault diagnosis data using multiple models and Radial Basis Function networks K Zhang, Y Li, P Scarf, A Ball Neurocomputing 74 (17), 2941-2952, 2011 | 111 | 2011 |
DL-ReSuMe: A delay learning-based remote supervised method for spiking neurons A Taherkhani, A Belatreche, Y Li, LP Maguire IEEE Transactions on Neural Networks and Learning Systems 26 (12), 3137-3149, 2015 | 103 | 2015 |
A supervised learning algorithm for learning precise timing of multiple spikes in multilayer spiking neural networks A Taherkhani, A Belatreche, Y Li, LP Maguire IEEE transactions on neural networks and learning systems 29 (11), 5394-5407, 2018 | 95 | 2018 |
Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur Y Li, MJ Pont, N Barrie Jones Pattern Recognition Letters 23 (5), 569-577, 2002 | 80 | 2002 |
Selecting training points for one-class support vector machines Y Li Pattern recognition letters 32 (11), 1517-1522, 2011 | 79 | 2011 |
A validated model for the prediction of rotor bar failure in squirrel-cage motors using instantaneous angular speed AYB Sasi, F Gu, Y Li, AD Ball Mechanical systems and signal processing 20 (7), 1572-1589, 2006 | 72 | 2006 |
A method for measuring sentence similarity and its application to conversational agents Y Li, Z Bandar, D McLean, J O’Shea Proc. FLAIRS, 820-825, 2004 | 68 | 2004 |
Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control. M McCann, Y Li, LP Maguire, A Johnston Journal of Machine Learning Research-Proceedings Track 6, 277-288, 2010 | 56 | 2010 |