Yuhua Li

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 27

Top Topics

Biologically Plausible

Adaptive Learning

Novelty Detection

Covariate Shift

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Mengqi Zhang, Matthias Treder, David Marshall, Yuhua Li
Explaining the predictions of kernel SVM models for neuroimaging data analysis. Expert Syst. Appl. 251 (2024)
Hanzhi Wang, Matthias S. Treder, David Marshall, Derek K. Jones, Yuhua Li
A Skewed Loss Function for Correcting Predictive Bias in Brain Age Prediction. IEEE Trans. Medical Imaging 42 (6) (2023)
Tomas Sidorowicz, Pedro Peres, Yuhua Li
A Novel Approach for Cross-Selling Insurance Products Using Positive Unlabelled Learning. IJCNN (2022)
Huihuang Zhao, Yaonan Wang, Yuhua Li
Saliency Constrained Arbitrary Image Style Transfer using SIFT and DCNN. CoRR (2022)
Misbah Sohail, Pedro Peres, Yuhua Li
Feature Importance Analysis for Customer Management of Insurance Products. IJCNN (2021)
Huihuang Zhao, Jing-Hua Zheng, Yaonan Wang, Xiaofang Yuan, Yuhua Li
Portrait style transfer using deep convolutional neural networks and facial segmentation. Comput. Electr. Eng. 85 (2020)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Georgina Cosma, Liam P. Maguire, T. Martin McGinnity
A review of learning in biologically plausible spiking neural networks. Neural Networks 122 (2020)
Shuo Liu, Jinshu Zeng, Huizhou Gong, Hongqin Yang, Jia Zhai, Yi Cao, Junxiu Liu, Yuling Luo, Yuhua Li, Liam P. Maguire, Xuemei Ding
Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach. Comput. Biol. Medicine 92 (2018)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire
A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Jia Zhai, Yi Cao, Yuan Yao, Xuemei Ding, Yuhua Li
Coarse and fine identification of collusive clique in financial market. Expert Syst. Appl. 69 (2017)
Jia Zhai, Yi Cao, Yuan Yao, Xuemei Ding, Yuhua Li
Computational intelligent hybrid model for detecting disruptive trading activity. Decis. Support Syst. 93 (2017)
Yauheniya Shynkevich, T. Martin McGinnity, Sonya A. Coleman, Ammar Belatreche, Yuhua Li
Forecasting price movements using technical indicators: Investigating the impact of varying input window length. Neurocomputing 264 (2017)
Haider Raza, Hubert Cecotti, Yuhua Li, Girijesh Prasad
Adaptive learning with covariate shift-detection for motor imagery-based brain-computer interface. Soft Comput. 20 (8) (2016)
Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity
Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 27 (11) (2016)
Junxiu Liu, Jim Harkin, Yuhua Li, Liam P. Maguire
Fault-Tolerant Networks-on-Chip Routing With Coarse and Fine-Grained Look-Ahead. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (2) (2016)
Haider Raza, Girijesh Prasad, Yuhua Li
EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments. Pattern Recognit. 48 (3) (2015)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire
EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons. ICONIP (2) (2015)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire
DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 26 (12) (2015)
Fan Sun, Ammar Belatreche, Sonya A. Coleman, Thomas Martin McGinnity, Yuhua Li
Sentiment Classification in the Financial Domain Using? SVM and Multi-Objective Optimisation. SSCI (2015)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
Novelty Detection Using Level Set Methods. IEEE Trans. Neural Networks Learn. Syst. 26 (3) (2015)
Niall McCarroll, Ammar Belatreche, Jim Harkin, Yuhua Li
Bio-Inspired Hybrid Framework for Multi-view Face Detection. ICONIP (4) (2015)
Niall McCarroll, Ammar Belatreche, Jim Harkin, Yuhua Li
Bio-inspired hierarchical framework for multi-view face detection and pose estimation. IJCNN (2015)
Junxiu Liu, Jim Harkin, Liam P. Maguire, Yuhua Li, Lei Wan, Yuling Luo
Fine-Grained Fault-Tolerant Adaptive Routing for Networks-on-Chip. ICA3PP (4) (2015)
Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity
Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection. IEEE Trans. Neural Networks Learn. Syst. 26 (2) (2015)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire
Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method. IJCNN (2015)
Junxiu Liu, Jim Harkin, Yuhua Li, Liam P. Maguire
Low cost fault-tolerant routing algorithm for Networks-on-Chip. Microprocess. Microsystems 39 (6) (2015)
Haider Raza, Hubert Cecotti, Yuhua Li, Girijesh Prasad
Learning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interface. IJCNN (2015)
Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity
Detecting price manipulation in the financial market. CIFEr (2014)
Eduardo A. Gerlein, T. Martin McGinnity, Ammar Belatreche, Sonya A. Coleman, Yuhua Li
Hardware-based agent modelling: event-driven reactive architecture (EDRA). AAMAS (2014)
Haider Raza, Girijesh Prasad, Yuhua Li, Hubert Cecotti
Covariate shift-adaptation using a transductive learning model for handling non-stationarity in EEG based brain-computer interfaces. BIBM (2014)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire
A new biologically plausible supervised learning method for spiking neurons. ESANN (2014)
Fan Sun, Ammar Belatreche, Sonya A. Coleman, T. Martin McGinnity, Yuhua Li
Pre-processing online financial text for sentiment classification: A natural language processing approach. CIFEr (2014)
Junxiu Liu, Jim Harkin, Yuhua Li, Liam P. Maguire
Online fault detection for Networks-on-Chip interconnect. AHS (2014)
Yauheniya Shynkevich, T. Martin McGinnity, Sonya A. Coleman, Yuhua Li, Ammar Belatreche
Forecasting stock price directional movements using technical indicators: Investigating window size effects on one-step-ahead forecasting. CIFEr (2014)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
A locally adaptive boundary evolution algorithm for novelty detection using level set methods. IJCNN (2014)
Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity
Detecting wash trade in the financial market. CIFEr (2014)
Junxiu Liu, Jim Harkin, Yuhua Li, Liam P. Maguire, Alejandro Linares-Barranco
Low Overhead Monitor Mechanism for Fault-Tolerant Analysis of NoC. MCSoC (2014)
Junxiu Liu, Jim Harkin, Yuhua Li, Liam P. Maguire
Online traffic-aware fault detection for networks-on-chip. J. Parallel Distributed Comput. 74 (1) (2014)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
An experimental evaluation of novelty detection methods. Neurocomputing 135 (2014)
Haider Raza, Girijesh Prasad, Yuhua Li
Adaptive learning with covariate shift-detection for non-stationary environments. UKCI (2014)
Eduardo A. Gerlein, T. Martin McGinnity, Ammar Belatreche, Sonya A. Coleman, Yuhua Li
Multi-agent pre-trade analysis acceleration in FPGA. CIFEr (2014)
Scott McDonald, Sonya A. Coleman, T. Martin McGinnity, Yuhua Li, Ammar Belatreche
A comparison of forecasting approaches for capital markets. CIFEr (2014)
Haider Raza, Girijesh Prasad, Yuhua Li
EWMA Based Two-Stage Dataset Shift-Detection in Non-stationary Environments. AIAI (2013)
Haider Raza, Girijesh Prasad, Yuhua Li
Dataset Shift Detection in Non-stationary Environments Using EWMA Charts. SMC (2013)
Scott McDonald, Sonya A. Coleman, T. Martin McGinnity, Yuhua Li
A hybrid forecasting approach using ARIMA models and self-organising fuzzy neural networks for capital markets. IJCNN (2013)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
Novelty Detection Using Level Set Methods with Adaptive Boundaries. SMC (2013)
Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, T. Martin McGinnity
A Hidden Markov Model with Abnormal States for Detecting Stock Price Manipulation. SMC (2013)
Garima Goel, Liam P. Maguire, Yuhua Li, Seán F. McLoone
Evaluation of Sampling Methods for Learning from Imbalanced Data. ICIC (1) (2013)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
Constructing minimum volume surfaces using level set methods for novelty detection. IJCNN (2012)
Kui Zhang, Yuhua Li, Philip Scarf, Andrew D. Ball
Feature selection for high-dimensional machinery fault diagnosis data using multiple models and Radial Basis Function networks. Neurocomputing 74 (17) (2011)
Yuhua Li
Selecting training points for one-class support vector machines. Pattern Recognit. Lett. 32 (11) (2011)
Yuhua Li, Liam P. Maguire
Selecting Critical Patterns Based on Local Geometrical and Statistical Information. IEEE Trans. Pattern Anal. Mach. Intell. 33 (6) (2011)
Michael McCann, Yuhua Li, Liam P. Maguire, Adrian Johnston
Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control. NIPS Causality: Objectives and Assessment (2010)
Kui Zhang, Andrew D. Ball, Fengshou Gu, Yuhua Li
A Hybrid Model with a Weighted Voting Scheme for Feature Selection in Machinery Condition Monitoring. CASE (2007)
Yuhua Li, David McLean, Zuhair Bandar, James O'Shea, Keeley A. Crockett
Sentence Similarity Based on Semantic Nets and Corpus Statistics. IEEE Trans. Knowl. Data Eng. 18 (8) (2006)
Yuhua Li, Zuhair Bandar, David McLean, James O'Shea
A Method for Measuring Sentence Similarity and iIts Application to Conversational Agents. FLAIRS Conference (2004)
Yuhua Li, Zuhair Bandar, David McLean
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources. IEEE Trans. Knowl. Data Eng. 15 (4) (2003)
Yuhua Li, Michael J. Pont, N. Barrie Jones
Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur. Pattern Recognit. Lett. 23 (5) (2002)
Yuhua Li, Zuhair Bandar, David McLean
Measuring Semantic Similarity Between Words Using Lexical Knowledge and Neural Networks. IDEAL (2002)