Yonghong Peng
Yonghong Peng
Professor of Artificial Intelligence, Manchester Metropolitan University
Verified email at mmu.ac.uk
Cited by
Cited by
Wavelet analysis and envelope detection for rolling element bearing fault diagnosis—their effectiveness and flexibilities
PW Tse, YH Peng, R Yam
J. Vib. Acoust. 123 (3), 303-310, 2001
MMAC: A new multi-class, multi-label associative classification approach
FA Thabtah, P Cowling, Y Peng
Fourth IEEE International Conference on Data Mining (ICDM'04), 217-224, 2004
MCAR: multi-class classification based on association rule
F Thabtah, P Cowling, Y Peng
The 3rd ACS/IEEE International Conference onComputer Systems and …, 2005
A novel feature selection approach for biomedical data classification
Y Peng, Z Wu, J Jiang
Journal of Biomedical Informatics 43 (1), 15-23, 2010
Improved dataset characterisation for meta-learning
Y Peng, PA Flach, C Soares, P Brazdil
International Conference on Discovery Science, 141-152, 2002
A novel ensemble machine learning for robust microarray data classification
Y Peng
Computers in Biology and Medicine 36 (6), 553-573, 2006
Text mining for traditional Chinese medical knowledge discovery: a survey
X Zhou, Y Peng, B Liu
Journal of biomedical informatics 43 (4), 650-660, 2010
Soft discretization to enhance the continuous decision tree induction
Y Peng, P Flach
Integrating Aspects of Data Mining, Decision Support and Meta-Learning 1 (34 …, 2001
Remodeling of three-dimensional organization of the nucleus during terminal keratinocyte differentiation in the epidermis
MR Gdula, K Poterlowicz, AN Mardaryev, AA Sharov, Y Peng, MY Fessing, ...
Journal of Investigative Dermatology 133 (9), 2191-2201, 2013
A new 12-gene diagnostic biomarker signature of melanoma revealed by integrated microarray analysis
W Liu, Y Peng, DJ Tobin
PeerJ 1, e49, 2013
Characterization of changes in the proteome in different regions of 3D multicell tumor spheroids
KM McMahon, M Volpato, HY Chi, P Musiwaro, K Poterlowicz, Y Peng, ...
Journal of proteome research 11 (5), 2863-2875, 2012
Multiple labels associative classification
FA Thabtah, P Cowling, Y Peng
Knowledge and Information Systems 9 (1), 109-129, 2006
Empirical model decomposition based time-frequency analysis for the effective detection of tool breakage
Y Peng
Knowledge-discovery incorporated evolutionary search for microcalcification detection in breast cancer diagnosis
Y Peng, B Yao, J Jiang
Artificial Intelligence in Medicine 37 (1), 43-53, 2006
Intelligent condition monitoring using fuzzy inductive learning
Y Peng
Journal of Intelligent Manufacturing 15 (3), 373-380, 2004
The role of maternal gestational diabetes in inducing fetal endothelial dysfunction
SA Sultan, W Liu, Y Peng, W Roberts, D Whitelaw, AM Graham
Journal of cellular physiology 230 (11), 2695-2705, 2015
BMP signaling induces cell-type-specific changes in gene expression programs of human keratinocytes and fibroblasts
MY Fessing, R Atoyan, B Shander, AN Mardaryev, VV Botchkarev Jr, ...
Journal of investigative dermatology 130 (2), 398-404, 2010
Guest editorial: Integrative data mining in systems biology: from text to network mining
Y Peng, X Zhang
Artificial Intelligence in Medicine 41 (2), 83-86, 2007
A new pulse coupled neural network (PCNN) for brain medical image fusion empowered by shuffled frog leaping algorithm
C Huang, G Tian, Y Lan, Y Peng, EYK Ng, Y Hao, Y Cheng, W Che
Frontiers in neuroscience 13, 210, 2019
On the performance enhancement of self-tuning adaptive control for time-varying machining processes
YH Peng
The International Journal of Advanced Manufacturing Technology 24 (5-6), 395-403, 2004
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