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Online Research @ Cardiff

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Browse by Current Cardiff authors

Number of items: 46.

Bent, Graham, Simpkin, Christopher, Li, Yuhua and Preece, Alun 2022. Energy efficient spiking neural network neuromorphic processing to enable decentralised service workflow composition in support of multi-domain operations. Presented at: SPIE Defense + Commercial Sensing 2022, Orlando, Florida, United States, 3 April - 13 June 2022. Published in: Pham, Tien and Solomon, Latasha eds. Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications. SPIE, 121131M. 10.1117/12.2617362

Sidorowicz, Tomas, Peres, Pedro and Li, Yuhua 2022. A novel approach for cross-selling insurance products using positive unlabelled learning. Presented at: International Joint Conference on Neural Networks, Padua - Italy, 18-23 July 2022.

Bent, Graham, Simpkin, Christopher, Li, Yuhua and Preece, Alun 2022. Hyperdimensional computing using time-to-spike neuromorphic circuits. Presented at: 2022 IEEE World Congress on Computational Intelligence (WCCI), Padova, Italy, 18-23 July 2022. IEEE,

Sohail, Misbah, Peres, Pedro and Li, Yuhua 2021. Feature importance analysis for customer management of insurance products. Presented at: 2021 International Joint Conference on Neural Networks (IJCNN), Virtual, 18-22 July 2021.

Zhao, Huihuang, Zheng, Jinghua, Wang, Yaonan, Yuan, Xiaofang and Li, Yuhua 2020. Portrait style transfer using deep convolutional neural networks and facial segmentation. Computers and Electrical Engineering 85 , 106655. 10.1016/j.compeleceng.2020.106655

Taherkhani, Aboozar, Belatreche, Ammar, Li, Yuhua, Cosma, Georgina, Maguire, Liam P. and McGinnity, T.M. 2020. A review of learning in biologically plausible spiking neural networks. Neural Networks 122 , pp. 253-272. 10.1016/j.neunet.2019.09.036

Taherkhani, Aboozar, Belatreche, Ammar, Li, Yuhua and Maguire, Liam P. 2018. A supervised learning algorithm for learning precise timing of multiple spikes in multilayer spiking neural networks. IEEE Transactions on Neural Networks and Learning Systems 29 (11) , pp. 5394-5407. 10.1109/TNNLS.2018.2797801

Liu, Shuo, Zeng, Jinshu, Gong, Huizhou, Yang, Hongqin, Zhai, Jia, Cao, Yi, Liu, Junxiu, Luo, Yuling, Li, Yuhua, Maguire, Liam and Ding, Xuemei 2018. Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach. Computers in Biology and Medicine 92 , pp. 168-175. 10.1016/j.compbiomed.2017.11.014

Shynkevich, Yauheniya, McGinnity, T.M., Coleman, Sonya A., Belatreche, Ammar and Li, Yuhua 2017. Forecasting price movements using technical indicators: Investigating the impact of varying input window length. Neurocomputing 264 , 71--88. 10.1016/j.neucom.2016.11.095

Zhai, Jia, Cao, Yi, Yao, Yuan, Ding, Xuemei and Li, Yuhua 2017. Coarse and fine identification of collusive clique in financial market. Expert Systems with Applications 69 , pp. 225-238. 10.1016/j.eswa.2016.10.051

Zhai, Jia, Cao, Yi, Yao, Yuan, Ding, Xuemei and Li, Yuhua 2017. Computational intelligent hybrid model for detecting disruptive trading activity. Decision Support Systems 93 , 26--41. 10.1016/j.dss.2016.09.003

Cao, Yi, Li, Yuhua, Coleman, Sonya, Belatreche, Ammar and McGinnity, Thomas Martin 2016. Detecting wash trade in financial market using digraphs and dynamic programming. IEEE Transactions on Neural Networks and Learning Systems 27 (11) , pp. 2351-2363. 10.1109/TNNLS.2015.2480959

Raza, Haider, Cecotti, Hubert, Li, Yuhua and Prasad, Girijesh 2016. Adaptive learning with covariate shift-detection for motor imagery-based brain–computer interface. Soft Computing 20 (8) , 3085--3096. 10.1007/s00500-015-1937-5

Liu, Junxiu, Harkin, Jim, Li, Yuhua and Maguire, Liam P. 2016. Fault-tolerant networks-on-chip routing with coarse and fine-grained look-ahead. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 35 (2) , pp. 260-273. 10.1109/TCAD.2015.2459050

Liu, Junxiu, Harkin, Jim, Li, Yuhua and Maguire, Liam 2015. Low cost fault-tolerant routing algorithm for Networks-on-Chip. Microprocessors and Microsystems 39 (6) , pp. 358-372. 10.1016/j.micpro.2015.06.002

Ding, Xuemei, Li, Yuhua, Belatreche, Ammar and Maguire, Liam P. 2015. Novelty detection using level set methods. IEEE Transactions on Neural Networks and Learning Systems 26 (3) , pp. 576-588. 10.1109/TNNLS.2014.2320293

Raza, Haider, Prasad, Girijesh and Li, Yuhua 2015. EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments. Pattern Recognition 48 (3) , pp. 659-669. 10.1016/j.patcog.2014.07.028

Cao, Yi, Li, Yuhua, Coleman, Sonya, Belatreche, Ammar and McGinnity, Thomas Martin 2015. Adaptive hidden Markov model with anomaly states for price manipulation detection. IEEE Transactions on Neural Networks and Learning Systems 26 (2) , pp. 318-330. 10.1109/TNNLS.2014.2315042

Taherkhani, Aboozar, Belatreche, Ammar, Li, Yuhua and Maguire, Liam P. 2015. DL-ReSuMe: A delay learning-based remote supervised method for spiking neurons. IEEE Transactions on Neural Networks and Learning Systems 26 (12) , pp. 3137-3149. 10.1109/TNNLS.2015.2404938

Liu, Junxiu, Harkin, Jim, Li, Yuhua, Maguire, Liam and Linares-Barranco, Alejandro 2014. Low overhead monitor mechanism for fault-tolerant analysis of NoC. Presented at: 8th International Symposium On Embedded Multicore/manycore Socs, Aizu-Wakamatsu, Japan, 23-25 Sep 2014. 8th International Symposium on Embedded Multicore/manycore Socs. IEEE, pp. 189-196. 10.1109/MCSoC.2014.35

Liu, Junxiu, Harkin, Jim, Li, Yuhua and Maguire, Liam 2014. Online fault detection for Networks-on-Chip interconnect. Presented at: 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), Leicester, UK, 14-17 Jul 2014. 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2014). Piscataway, NJ: IEEE, pp. 31-38. 10.1109/AHS.2014.6880155

Ding, Xuemei, Li, Yuhua, Belatreche, Ammar and Maguire, Liam P. 2014. An experimental evaluation of novelty detection methods. Neurocomputing 135 , pp. 313-327. 10.1016/j.neucom.2013.12.002

Cao, Yi, Li, Yuhua, Coleman, Sonya, Belatreche, Ammar and McGinnity, T. M. 2014. A hidden Markov model with abnormal states for detecting stock price manipulation. Presented at: SMC 2013, Manchester, UK, 13-16 Oct 2013. 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics Piscataway, NJ: IEEE, pp. 3014-3019. 10.1109/SMC.2013.514

Ding, Xuemei, Li, Yuhua, Belatreche, Ammar and Maguire, Liam P. 2014. Novelty detection using level set methods with adaptive boundaries. Presented at: SMC 2013, Manchester, UK, 13-16 Oct 2013. 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics Piscataway, NJ: IEEE, pp. 3020-3025. 10.1109/SMC.2013.515

Raza, Haider, Prasad, Girijesh and Li, Yuhua 2014. Dataset shift detection in non-stationary environments using EWMA charts. Presented at: 2013 IEEE International Conference on Systems, Man, and Cybernetics, Manchester, UK, 13-16 Oct 2013. 2013 IEEE International Conference on Systems, Man, and Cybernetics. Piscataway, New Jersey: IEEE, pp. 3151-3156. 10.1109/SMC.2013.537

Liu, Junxiu, Harkin, Jim, Li, Yuhua and Maguire, Liam 2014. Online traffic-aware fault detection for networks-on-chip. Journal of Parallel and Distributed Computing 74 (1) , pp. 1984-1993. 10.1016/j.jpdc.2013.09.001

McDonald, Scott, Coleman, Sonya, McGinnity, T. M. and Li, Yuhua 2014. A hybrid forecasting approach using ARIMA models and self-organising fuzzy neural networks for capital markets. Presented at: 2013 International Joint Conference on Neural Networks (IJCNN), Dallas, TX. USA, 4-9 August 2013. The 2013 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-7. 10.1109/IJCNN.2013.6706965

Goel, Garima, Maguire, Liam, Li, Yuhua and McLoone, Sean 2013. Evaluation of sampling methods for learning from imbalanced data. Presented at: ICIC 2013, Nanning, China, 28-31 Jul 2013. Published in: Huang, De-Shuang, Bevilacqua, Vitoantonio, Figueroa, Juan Carlos and Premaratne, Prashan eds. Intelligent Computing Theories. Information Systems and Applications, incl. Internet/Web, and HCI Berlin, Heidelberg: Springer, pp. 392-401. 10.1007/978-3-642-39479-9_47

Raza, Haider, Prasad, Girijesh and Li, Yuhua 2013. EWMA based two-stage dataset shift-detection in non-stationary environments. Presented at: AIAI 2013, Paphos, Cyprus, 30 Sep - 2 Oct 2013. Published in: Papadopoulos, Harris, Andreou, Andreas S., Iliadis, Lazaros and Maglogiannis, Ilias eds. Artificial Intelligence Applications and Innovations. IFIP Advances in Information and Communication Technology Berlin, Heidelberg: Springer, pp. 625-635. 10.1007/978-3-642-41142-7_63

Ding, Xuemei, Li, Yuhua, Belatreche, Ammar and Maguire, Liam 2012. Constructing minimum volume surfaces using level set methods for novelty detection. Presented at: IJCNN 2012 International Join Conference on Neural Networks, Brisbane, QLD, Australia, 10-15 June 2012. The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE International Joint Conference on Neural Networks (IJCNN) IEEE, pp. 1-6. 10.1109/IJCNN.2012.6252804

Zhang, Kui, Li, Yuhua, Scarf, Philip and Ball, Andrew 2011. Feature selection for high-dimensional machinery fault diagnosis data using multiple models and Radial Basis Function networks. Neurocomputing 74 (17) , pp. 2941-2952. 10.1016/j.neucom.2011.03.043

Zhang, Kui, Ball, A D, Li, Yuhua and Gu, Fengshou 2011. A novel feature selection algorithm for high-dimensional condition monitoring data. International Journal of Condition Monitoring 1 (1) , pp. 33-43. 10.1784/204764211798089075

Li, Yuhua and Maguire, Liam 2011. Selecting critical patterns based on local geometrical and statistical information. IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (6) , pp. 1189-1201. 10.1109/TPAMI.2010.188

Li, Yuhua 2011. Selecting training points for one-class support vector machines. Pattern recognition letters 32 (11) , pp. 1517-1522. 10.1016/j.patrec.2011.04.013

Li, Yuhua 2009. A surface representation approach for novelty detection. Presented at: International Conference on Information and Automation 2008, Changsha, China, 20-23 June 2008. 2008 International Conference on Information and Automation. IEEE, pp. 1464-1468. 10.1109/ICINFA.2008.4608233

Zhang, Kui, Ball, Andrew, Gu, Fengshou and Li, Yuhua 2007. A hybrid model with a weighted voting scheme for feature selection in machinery condition monitoring. Presented at: IEEE International Conference on Automation Science and Engineering 2007, Scottsdale, AZ, United States, 22-25 September 2007. 2007 IEEE International Conference on Automation Science and Engineering. IEEE, pp. 174-179. 10.1109/COASE.2007.4341697

Ben Sasi, Ahmed Y., Gu, Fengshou, Li, Yuhua and Ball, Andrew D. 2006. A validated model for the prediction of rotor bar failure in squirrel-cage motors using instantaneous angular speed. Mechanical Systems and Signal Processing 20 (7) , pp. 1572-1589. 10.1016/j.ymssp.2005.09.010

Li, Yuhua, McLean, D., Bandar, Z.A., O'Shea, J.D. and Crockett, K. 2006. Sentence similarity based on semantic nets and corpus statistics. IEEE Transactions on Knowledge and Data Engineering 18 (8) , pp. 1138-1150. 10.1109/TKDE.2006.130

Li, Yuhua, Gu, Fengshou, Harris, Georgina, Ball, Andrew, Bennett, Nick and Travis, Ken 2005. The measurement of instantaneous angular speed. Mechanical Systems and Signal Processing 19 (4) , pp. 786-805. 10.1016/j.ymssp.2004.04.003

Gu, Fengshou, Yesilyurt, Iisa, Li, Yuhua, Harris, Georgina and Ball, Andrew 2005. An investigation of the effects of measurement noise in the use of instantaneous angular speed for machine diagnosis. Mechanical Systems and Signal Processing 20 (6) , pp. 1444-1460. 10.1016/j.ymssp.2005.02.001

Li, Yuhua, Bandar, Z.A. and McLean, D. 2003. An approach for measuring semantic similarity between words using multiple information sources. IEEE Transactions on Knowledge and Data Engineering 15 (4) , pp. 871-882. 10.1109/TKDE.2003.1209005

Li, Yuhua, Bandar, Zuhair and Mclean, David 2002. Measuring semantic similarity between words using lexical knowledge and neural networks. Presented at: 3rd International Conference on Intelligent Data Engineering and Automated Learning — IDEAL 2002, Manchester, England, UK, 12-14 August 2002. Intelligent Data Engineering and Automated Learning — IDEAL 2002. Lecture Notes in Computer Science Berlin and Heidelberg: Springer, pp. 111-116. 10.1007/3-540-45675-9_19

Li, Yuhua, Pont, Michael J. and Jones, N. Barrie 2002. Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur. Pattern Recognition Letters 23 (5) , pp. 569-577. 10.1016/S0167-8655(01)00133-7

Li, Yuhua, Pont, Michael J. and Barrie Jones, N. 2002. Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where `unknown' faults may occur. Pattern recognition letters 23 (5) , pp. 569-577. 10.1016/S0167-8655(01)00133-7

Li, Yuhua, Pont, Michael J., Jones, N. Barrie and Twiddle, JA 2001. Applying MLP and RBF classifiers in embedded condition monitoring and fault diagnosis systems. Transactions of the Institute of Measurement and Control 23 (5) , pp. 315-343. 10.1177/014233120102300504

Li, Yuhua, Pont, M. J., Parikh, C. R. and Jones, N. B. 2000. Comparing the performance of three neural classifiers for use in embedded applications. Presented at: Workshop 99 on Recent Advances in Soft Computing, Leicester, England, 01-02 July 1999. Published in: John, Robert and Birkenhead, Ralph eds. Soft Computing Techniques and Applications. Advances in Soft Computing Physica, pp. 34-29.

This list was generated on Sun Aug 7 03:37:28 2022 BST.