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2020 – today
- 2020
[j103]Hailiang Ye, Feilong Cao
, Dianhui Wang:
A hybrid regularization approach for random vector functional-link networks. Expert Syst. Appl. 140 (2020)- [j102]H. K. Zhang, Y. F. Wang, Dianhui Wang, Y. L. Wang:
Adaptive robust control of oxygen excess ratio for PEMFC system based on type-2 fuzzy logic system. Inf. Sci. 511: 1-17 (2020) - [j101]Wu Ai, Dianhui Wang:
Distributed stochastic configuration networks with cooperative learning paradigm. Inf. Sci. 540: 1-16 (2020) - [j100]Wei Wang, Dianhui Wang:
Prediction of component concentrations in sodium aluminate liquor using stochastic configuration networks. Neural Comput. Appl. 32(17): 13625-13638 (2020) - [j99]Changqin Huang, Qionghao Huang, Dianhui Wang:
Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing. IEEE Trans. Ind. Informatics 16(1): 373-383 (2020)
2010 – 2019
- 2019
- [j98]Chun-Hua Xie, Hui Yang, Dianhui Wang, Zhe Li:
Asymptotic state estimation for linear systems with sensor and actuator faults. Sci. China Inf. Sci. 62(11): 212202:1-212202:15 (2019) - [j97]Ming Li, Changqin Huang, Dianhui Wang, Qintai Hu, Jia Zhu, Yong Tang:
Improved randomized learning algorithms for imbalanced and noisy educational data classification. Computing 101(6): 571-585 (2019) - [j96]Xingchen Hu, Witold Pedrycz, Dianhui Wang:
Fuzzy rule-based models with randomized development mechanisms. Fuzzy Sets Syst. 361: 71-87 (2019) - [j95]Ming Li, Changqin Huang, Dianhui Wang:
Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression. Inf. Sci. 473: 73-86 (2019) - [j94]Mahardhika Pratama, Dianhui Wang:
Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams. Inf. Sci. 495: 150-174 (2019) - [j93]Haijiao Xu, Changqin Huang, Dianhui Wang:
Enhancing semantic image retrieval with limited labeled examples via deep learning. Knowl. Based Syst. 163: 252-266 (2019) - 2018
- [j92]Bara Miskony, Dianhui Wang:
Construction of prediction intervals using adaptive neurofuzzy inference systems. Appl. Soft Comput. 72: 579-586 (2018) - [j91]Hailiang Ye, Feilong Cao, Dianhui Wang, Hong Li:
Building feedforward neural networks with random weights for large scale datasets. Expert Syst. Appl. 106: 233-243 (2018) - [j90]Hongjie Fan, Zhiyi Ma, Dianhui Wang, Junfei Liu:
Handling distributed XML queries over large XML data based on MapReduce framework. Inf. Sci. 453: 1-20 (2018) - [j89]Feilong Cao, Yuehua Liu, Dianhui Wang:
Efficient saliency detection using convolutional neural networks with feature selection. Inf. Sci. 456: 34-49 (2018) - [j88]Nung Kion Lee, Xi Li, Dianhui Wang:
A comprehensive survey on genetic algorithms for DNA motif prediction. Inf. Sci. 466: 25-43 (2018) - [j87]Hien Duy Nguyen, Dianhui Wang, Geoffrey J. McLachlan:
Randomized mixture models for probability density approximation and estimation. Inf. Sci. 467: 135-148 (2018) - [j86]Changqin Huang, Xizhe Wang, Dianhui Wang:
Type theory based semantic verification for service composition in cloud computing environments. Inf. Sci. 469: 101-118 (2018) - [j85]Yajun Zhang, Yao Jia, Tianyou Chai, Dianhui Wang, Wei Dai, Jun Fu:
Data-Driven PID Controller and Its Application to Pulp Neutralization Process. IEEE Trans. Control. Syst. Technol. 26(3): 828-841 (2018) - [j84]Simone Scardapane, Dianhui Wang, Aurelio Uncini:
Bayesian Random Vector Functional-Link Networks for Robust Data Modeling. IEEE Trans. Cybern. 48(7): 2049-2059 (2018) - [j83]Hui Yang, Yating Fu, Dianhui Wang:
Multi-ANFIS Model Based Synchronous Tracking Control of High-Speed Electric Multiple Unit. IEEE Trans. Fuzzy Syst. 26(3): 1472-1484 (2018) - [j82]Feisheng Yang, Jing He, Dianhui Wang:
New Stability Criteria of Delayed Load Frequency Control Systems via Infinite-Series-Based Inequality. IEEE Trans. Ind. Informatics 14(1): 231-240 (2018) - [j81]Yajun Zhang, Tianyou Chai, Hong Wang, Dianhui Wang, Xinkai Chen:
Nonlinear Decoupling Control With ANFIS-Based Unmodeled Dynamics Compensation for a Class of Complex Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2352-2366 (2018) - [j80]Yajun Zhang, Tianyou Chai, Dianhui Wang, Xinkai Chen:
Virtual Unmodeled Dynamics Modeling for Nonlinear Multivariable Adaptive Control With Decoupling Design. IEEE Trans. Syst. Man Cybern. Syst. 48(3): 342-353 (2018) - [c38]Dianhui Wang, Ming Li:
Deep Stochastic Configuration Networks with Universal Approximation Property. IJCNN 2018: 1-8 - [i6]Mahardhika Pratama, Dianhui Wang:
Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams. CoRR abs/1808.02234 (2018) - [i5]Ming Li, Dianhui Wang:
Two Dimensional Stochastic Configuration Networks for Image Data Analytics. CoRR abs/1809.02066 (2018) - 2017
- [j79]Aijun Yan, Hang Yu, Dianhui Wang:
Case-based reasoning classifier based on learning pseudo metric retrieval. Expert Syst. Appl. 89: 91-98 (2017) - [j78]Mahardhika Pratama, Edwin Lughofer, Dianhui Wang:
Online real-time learning strategies for data streams for Neurocomputing. Neurocomputing 262: 1-3 (2017) - [j77]Junfei Qiao, Sanyi Li, Honggui Han, Dianhui Wang:
An improved algorithm for building self-organizing feedforward neural networks. Neurocomputing 262: 28-40 (2017) - [j76]Yating Fu, Hui Yang, Dianhui Wang:
Real-time optimal control of tracking running for high-speed electric multiple unit. Inf. Sci. 376: 202-215 (2017) - [j75]Ming Li, Dianhui Wang:
Insights into randomized algorithms for neural networks: Practical issues and common pitfalls. Inf. Sci. 382-383: 170-178 (2017) - [j74]Dianhui Wang, Ming Li:
Robust stochastic configuration networks with kernel density estimation for uncertain data regression. Inf. Sci. 412: 210-222 (2017) - [j73]Dianhui Wang, Caihao Cui:
Stochastic configuration networks ensemble with heterogeneous features for large-scale data analytics. Inf. Sci. 417: 55-71 (2017) - [j72]Dianhui Wang, Ming Li:
Stochastic Configuration Networks: Fundamentals and Algorithms. IEEE Trans. Cybern. 47(10): 3466-3479 (2017) - [j71]Yajun Zhang, Tianyou Chai, Dianhui Wang:
An Alternating Identification Algorithm for a Class of Nonlinear Dynamical Systems. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1606-1617 (2017) - [j70]Simone Scardapane, Dianhui Wang:
Randomness in neural networks: an overview. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 7(2) (2017) - [c37]Bara Miskony, Dianhui Wang:
A Randomized Algorithm for Prediction Interval Using RVFL Networks Ensemble. ICONIP (4) 2017: 51-60 - [i4]Dianhui Wang, Ming Li:
Stochastic Configuration Networks: Fundamentals and Algorithms. CoRR abs/1702.03180 (2017) - [i3]Dianhui Wang, Ming Li:
Building Robust Stochastic Configuration Networks with Kernel Density Estimation. CoRR abs/1702.04459 (2017) - [i2]Dianhui Wang, Ming Li:
Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation. CoRR abs/1702.05639 (2017) - [i1]Dianhui Wang, Caihao Cui:
Stochastic Configuration Networks Ensemble for Large-Scale Data Analytics. CoRR abs/1707.00300 (2017) - 2016
- [j69]Weitao Li, Keqiong Chen, Dianhui Wang:
Industrial image classification using a randomized neural-net ensemble and feedback mechanism. Neurocomputing 173: 708-714 (2016) - [j68]Feilong Cao, Dianhui Wang, Hou-Ying Zhu, Yuguang Wang:
An iterative learning algorithm for feedforward neural networks with random weights. Inf. Sci. 328: 546-557 (2016) - [j67]Dianhui Wang:
Editorial: Randomized algorithms for training neural networks. Inf. Sci. 364-365: 126-128 (2016) - [j66]Caihao Cui, Dianhui Wang:
High dimensional data regression using Lasso model and neural networks with random weights. Inf. Sci. 372: 505-517 (2016) - [j65]Simone Scardapane, Dianhui Wang, Massimo Panella:
A decentralized training algorithm for Echo State Networks in distributed big data applications. Neural Networks 78: 65-74 (2016) - [j64]Sarwar Tapan, Dianhui Wang:
A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps. IEEE Trans. Neural Networks Learn. Syst. 27(1): 113-124 (2016) - [j63]Yan Xu, Rui Zhang, Junhua Zhao, Zhao Yang Dong, Dianhui Wang, Hongming Yang, Kit Po Wong:
Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1686-1696 (2016) - 2015
- [j62]Aijun Yan, Dianhui Wang:
Trustworthiness evaluation and retrieval-based revision method for case-based reasoning classifiers. Expert Syst. Appl. 42(21): 8006-8013 (2015) - [j61]Dianhui Wang, Wen Yu, Tianyou Chai:
Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis. Neurocomputing 169: 358-360 (2015) - [j60]Xiaojie Zhou, Dianhui Wang, Zhugui Shao:
2-D regularized locality preserving projection algorithms for temporospatial feature reduction and its application in industrial data regression. Neurocomputing 169: 373-382 (2015) - [j59]Huaixin Cao, Feilong Cao, Dianhui Wang:
Quantum artificial neural networks with applications. Inf. Sci. 290: 1-6 (2015) - [j58]Dan Tian, Dingyu Xue, Dianhui Wang:
A fractional-order adaptive regularization primal-dual algorithm for image denoising. Inf. Sci. 296: 147-159 (2015) - [j57]Huaixin Cao, Dianhui Wang, Feilong Cao:
An adiabatic quantum algorithm and its application to DNA motif model discovery. Inf. Sci. 296: 275-281 (2015) - [j56]Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini:
Distributed learning for Random Vector Functional-Link networks. Inf. Sci. 301: 271-284 (2015) - [j55]Feilong Cao, Hailiang Ye, Dianhui Wang:
A probabilistic learning algorithm for robust modeling using neural networks with random weights. Inf. Sci. 313: 62-78 (2015) - [j54]Weitao Li, Dianhui Wang, Xiaojie Zhou, Tianyou Chai:
An improved multi-source based soft sensor for measuring cement free lime content. Inf. Sci. 323: 94-105 (2015) - [j53]Jianwei Zhao, Zhihui Wang, Feilong Cao, Dianhui Wang:
A local learning algorithm for random weights networks. Knowl. Based Syst. 74: 159-166 (2015) - [j52]Weitao Li, Dianhui Wang, Tianyou Chai:
Multisource Data Ensemble Modeling for Clinker Free Lime Content Estimate in Rotary Kiln Sintering Processes. IEEE Trans. Syst. Man Cybern. Syst. 45(2): 303-314 (2015) - [c36]Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini:
Distributed music classification using Random Vector Functional-Link nets. IJCNN 2015: 1-8 - 2014
- [j51]Zhihong Man, Dianhui Wang:
Introduction to the special issue on fault diagnosis and prognosis for engineering systems. Comput. Electr. Eng. 40(7): 2151-2153 (2014) - [j50]Dianhui Wang, Zhihong Man:
Special issue: Data-driven fault diagnosis of industrial systems. Inf. Sci. 259: 231-233 (2014) - [j49]Monther Alhamdoosh, Dianhui Wang:
Fast decorrelated neural network ensembles with random weights. Inf. Sci. 264: 104-117 (2014) - [j48]Feisheng Yang, Shouping Guan, Dianhui Wang:
Quadratically convex combination approach to stability of T-S fuzzy systems with time-varying delay. J. Frankl. Inst. 351(7): 3752-3765 (2014) - 2013
- [j47]Yongfu Wang, Dianhui Wang, Tianyo Chai:
Active control of friction self-excited vibration using neuro-fuzzy and data mining techniques. Expert Syst. Appl. 40(4): 975-983 (2013) - [j46]Guang-Bin Huang, Dianhui Wang:
Advances in Extreme Learning Machines (ELM2011). Neurocomputing 102: 1-2 (2013) - [j45]Dianhui Wang, Monther Alhamdoosh:
Evolutionary extreme learning machine ensembles with size control. Neurocomputing 102: 98-110 (2013) - [j44]Weitao Li, Dianhui Wang, Tianyou Chai:
Burning state recognition of rotary kiln using ELMs with heterogeneous features. Neurocomputing 102: 144-153 (2013) - [j43]Jialu Du, Yang Yang, Dianhui Wang, Chen Guo:
A robust adaptive neural networks controller for maritime dynamic positioning system. Neurocomputing 110: 128-136 (2013) - [j42]Kevin Lee, Zhihong Man, Dianhui Wang, Zhenwei Cao:
Classification of bioinformatics dataset using finite impulse response extreme learning machine for cancer diagnosis. Neural Comput. Appl. 22(3-4): 457-468 (2013) - [j41]Lijie Zhao, Dianhui Wang, Tianyou Chai:
Estimation of effluent quality using PLS-based extreme learning machines. Neural Comput. Appl. 22(3-4): 509-519 (2013) - [j40]Dacheng Tao, Dianhui Wang, Fionn Murtagh:
Machine learning in intelligent image processing. Signal Process. 93(6): 1399-1400 (2013) - [j39]Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Suiyang Khoo:
An optimal weight learning machine for handwritten digit image recognition. Signal Process. 93(6): 1624-1638 (2013) - [j38]Dianhui Wang, Sarwar Tapan:
A Robust Elicitation Algorithm for Discovering DNA Motifs Using Fuzzy Self-Organizing Maps. IEEE Trans. Neural Networks Learn. Syst. 24(10): 1677-1688 (2013) - 2012
- [j37]Dianhui Wang, Sarwar Tapan:
MISCORE: a new scoring function for characterizing DNA regulatory motifs in promoter sequences. BMC Syst. Biol. 6(S-2): S4 (2012) - [j36]Paul C. Conilione, Dianhui Wang:
Fuzzy Approach for Semantic Face Image Retrieval. Comput. J. 55(9): 1130-1145 (2012) - [j35]Dianhui Wang, Paul C. Conilione:
Machine learning approach for face image retrieval. Neural Comput. Appl. 21(4): 683-694 (2012) - [j34]Xi-Zhao Wang, Dianhui Wang, Guang-Bin Huang:
Editorial. Soft Comput. 16(9): 1461-1463 (2012) - [j33]Jian Tang, Dianhui Wang, Tianyou Chai:
Predicting mill load using partial least squares and extreme learning machines. Soft Comput. 16(9): 1585-1594 (2012) - [j32]Dianhui Wang, Hai Thanh Do:
Computational localization of transcription factor binding sites using extreme learning machines. Soft Comput. 16(9): 1595-1606 (2012) - [j31]Weitao Li, Dianhui Wang, Tianyou Chai:
Flame Image-Based Burning State Recognition for Sintering Process of Rotary Kiln Using Heterogeneous Features and Fuzzy Integral. IEEE Trans. Ind. Informatics 8(4): 780-790 (2012) - [j30]Rui Zhang, Zongben Xu, Guang-Bin Huang, Dianhui Wang:
Global Convergence of Online BP Training With Dynamic Learning Rate. IEEE Trans. Neural Networks Learn. Syst. 23(2): 330-341 (2012) - [j29]Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Suiyang Khoo:
Robust Single-Hidden Layer Feedforward Network-Based Pattern Classifier. IEEE Trans. Neural Networks Learn. Syst. 23(12): 1974-1986 (2012) - 2011
- [j28]Nung Kion Lee, Dianhui Wang:
SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model. BMC Bioinform. 12(S-1): S16 (2011) - [j27]Guang-Bin Huang, Dianhui Wang:
Advances in extreme learning machines (ELM2010). Neurocomputing 74(16): 2411-2412 (2011) - [j26]Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Chunyan Miao:
A new robust training algorithm for a class of single-hidden layer feedforward neural networks. Neurocomputing 74(16): 2491-2501 (2011) - [j25]Hongming Yang, Wenjun Xu, Junhua Zhao, Dianhui Wang, Zhaoyang Dong:
Predicting the probability of ice storm damages to electricity transmission facilities based on ELM and Copula function. Neurocomputing 74(16): 2573-2581 (2011) - [j24]Guang-Bin Huang, Dianhui Wang, Yuan Lan:
Extreme learning machines: a survey. Int. J. Mach. Learn. Cybern. 2(2): 107-122 (2011) - [j23]Paul C. Conilione, Dianhui Wang:
Automatic localization and annotation of facial features using machine learning techniques. Soft Comput. 15(6): 1231-1245 (2011) - [j22]Yongfu Wang, Dianhui Wang, Tianyou Chai:
Extraction and Adaptation of Fuzzy Rules for Friction Modeling and Control Compensation. IEEE Trans. Fuzzy Syst. 19(4): 682-693 (2011) - [e1]Dianhui Wang, Mark Reynolds:
AI 2011: Advances in Artificial Intelligence - 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011. Proceedings. Lecture Notes in Computer Science 7106, Springer 2011, ISBN 978-3-642-25831-2 [contents] - 2010
- [c35]Xi Li, Dianhui Wang:
Computational discovery of regulatory DNA motifs using evolutionary computation. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c34]Xi Li, Dianhui Wang:
Mining Regulatory Elements in Non-coding Regions of Arabidopsis thaliana. CSBio 2010: 94-105 - [c33]Dianhui Wang, Sarwar Tapan:
Fuzzy filtering systems for performing environment improvement of computational DNA motif discovery. FUZZ-IEEE 2010: 1-8 - [c32]Dianhui Wang, Xi Li:
iGAPK: Improved GAPK Algorithm for Regulatory DNA Motif Discovery. ICONIP (2) 2010: 217-225 - [c31]Nung Kion Lee, Dianhui Wang:
SOMIX: Motifs Discovery in Gene Regulatory Sequences Using Self-Organizing Maps. ICONIP (2) 2010: 242-249
2000 – 2009
- 2009
- [j21]Hai Thanh Do, Dianhui Wang:
Motif Recognition Using LVQ Classifiers with Overlap-based Similarity Metrics. Aust. J. Intell. Inf. Process. Syst. 10(4) (2009) - [c30]Dianhui Wang, Xi Li:
GAPK: Genetic algorithms with prior knowledge for motif discovery in DNA sequences. IEEE Congress on Evolutionary Computation 2009: 277-284 - [c29]Hai Thanh Do, Dianhui Wang:
Overlap-Based Similarity Metrics for Motif Search in DNA Sequences. ICONIP (2) 2009: 465-474 - 2008
- [j20]Bing Guo, Dianhui Wang, Yan Shen, Zhishu Li:
A Hopfield neural network approach for power optimization of real-time operating systems. Neural Comput. Appl. 17(1): 11-17 (2008) - [c28]Dianhui Wang, Nung Kion Lee:
Computational Discovery of Motifs Using Hierarchical Clustering Techniques. ICDM 2008: 1073-1078 - [c27]Dianhui Wang, Nung Kion Lee:
MISCORE: Mismatch-Based Matrix Similarity Scores for DNA Motif Detection. ICONIP (1) 2008: 478-485 - [c26]Xi Li, Dianhui Wang:
An Improved Genetic Algorithm for DNA Motif Discovery with Public Domain Information. ICONIP (1) 2008: 521-528 - [c25]Paul C. Conilione, Dianhui Wang:
Intelligent Face Image Retrieval Using Eigenpaxels and Learning Similarity Metrics. ICONIP (2) 2008: 792-799 - [c24]Dianhui Wang:
Modeling performance enhancement with constrained linear filters. IJCNN 2008: 698-702 - 2007
- [j19]Xiaodi Huang, Dianhui Wang, Kazuo Misue, Jiro Tanaka, A. S. M. Sajeev:
On graph modelling, node ranking and visualisation. Int. J. Intell. Syst. Technol. Appl. 3(3/4): 188-210 (2007) - [j18]Iveta Mrázová, Dianhui Wang:
Improved generalization of neural classifiers with enforced internal representation. Neurocomputing 70(16-18): 2940-2952 (2007) - [j17]Dianhui Wang, Yong-Soo Kim, Seok Cheon Park, Chul Soo Lee, Yoon Kyung Han:
Learning Based Neural Similarity Metrics for Multimedia Data Mining. Soft Comput. 11(4): 335-340 (2007) - 2006
- [j16]Joon Shik Lim, Dianhui Wang, Yong-Soo Kim, Sudhir Gupta:
A neuro-fuzzy approach for diagnosis of antibody deficiency syndrome. Neurocomputing 69(7-9): 969-974 (2006) - [j15]Bing Guo, Dianhui Wang, Yan Shen, Zhong Liu:
Hardware-software partitioning of real-time operating systems using Hopfield neural networks. Neurocomputing 69(16-18): 2379-2384 (2006) - [j14]Dianhui Wang, Tharam S. Dillon:
Extraction of classification rules characterized by ellipsoidal regions using soft-computing techniques. Int. J. Syst. Sci. 37(13): 969-980 (2006) - [j13]Dianhui Wang, Xiaodi Huang, Yong-Soo Kim, Joon Shik Lim, Myung-Mook Han, Byung-Wook Lee:
A structure-based approach for multimedia information filtering. Multim. Tools Appl. 29(1): 73-89 (2006) - [c23]Dianhui Wang:
ELM-based Multiple Classifier Systems. ICARCV 2006: 1-5 - [c22]Bing Guo, Dianhui Wang, Yan Shen, Zhishu Li:
Neurocomputing for Minimizing Energy Consumption of Real-Time Operating System in the System-on-a-Chip. ICONIP (3) 2006: 1189-1198 - 2005
- [j12]Dianhui Wang, Joon Shik Lim, Myung-Mook Han, Byung-Wook Lee:
Learning similarity for semantic images classification. Neurocomputing 67: 363-368 (2005) - [j11]Dianhui Wang, Xiaohang Ma:
A Hybird Image Retrieval System with User's Relevance Feedback Using Neurocomputing. Informatica (Slovenia) 29(3): 271-280 (2005) - [j10]Dianhui Wang, Xiaohang Ma, Yong-Soo Kim:
Learning Pseudo Metric for Intelligent Multimedia Data Classification and Retrieval. J. Intell. Manuf. 16(6): 575-586 (2005) - [c21]Paul C. Conilione, Dianhui Wang:
E-Coli Promoter Recognition Using Neural Networks with Feature Selection. ICIC (2) 2005: 61-70 - [c20]Xiaohang Ma, Dianhui Wang:
Semantics modeling based image retrieval system using neural networks. ICIP (1) 2005: 1165-1168 - [c19]Dianhui Wang, Xiaohang Ma:
Multimedia data mining for building rule-based image retrieval systems. ICME 2005: 197-200 - [c18]Paul C. Conilione, Dianhui Wang:
Neural Classification of E.coli Promoters Using Selected DNA Profiles. WSTST 2005: 51-60 - 2004
- [c17]Kuanquan Wang, Lu Wang, Dianhui Wang, Lisheng Xu:
SVM Classification for Discriminating Cardiovascular Disease Patients from Non-cardiovascular Disease Controls Using Pulse Waveform Variability Analysis. Australian Conference on Artificial Intelligence 2004: 109-119 - [c16]