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2020 – today
- 2025
- [j142]Aijun Yan
, Kaicheng Hu
Robust multi-target regression with improved stochastic configuration networks and its applications. Inf. Sci. 689: 121480 (2025) - [j141]Jianjiao Ji
Evolutionary stochastic configuration networks for industrial data analytics. Inf. Sci. 690: 121546 (2025) - 2024
- [j140]Yongfu Wang
Adaptive type-2 fuzzy output feedback control using nonlinear observers for permanent magnet synchronous motor servo systems. Eng. Appl. Artif. Intell. 131: 107833 (2024) - [j139]Kai Sun
Prediction of X-ray fluorescence copper grade using regularized stochastic configuration networks. Inf. Sci. 659: 120098 (2024) - [j138]Junqi Li
Stochastic configuration networks with CPU-GPU implementation for large-scale data analytics. Inf. Sci. 667: 120497 (2024) - [j137]Siwei Qiao
Security concern and fuzzy output sliding mode load frequency control of power systems. Inf. Sci. 676: 120793 (2024) - [j136]Matthew J. Felicetti
Stochastic configuration networks with particle swarm optimisation search. Inf. Sci. 677: 120868 (2024) - [j135]Jing Nan, Wei Dai
Stochastic configuration networks with improved supervisory mechanism. Inf. Sci. 677: 120885 (2024) - [j134]Junqi Li
2D convolutional stochastic configuration networks. Knowl. Based Syst. 300: 112249 (2024) - [j133]Yuanhang Qiu, Dianhui Wang
An empirical study on prediction of seismic activity using stochastic configuration networks. Neural Comput. Appl. 36(31): 19435-19448 (2024) - [j132]Bangji Fan
Attention-Based Multiagent Graph Reinforcement Learning for Service Restoration. IEEE Trans. Artif. Intell. 5(5): 2163-2178 (2024) - [j131]Kang Li
Fuzzy Stochastic Configuration Networks for Nonlinear System Modeling. IEEE Trans. Fuzzy Syst. 32(3): 948-957 (2024) - [j130]Kang Li
Online Self-Learning Stochastic Configuration Networks for Nonstationary Data Stream Analysis. IEEE Trans. Ind. Informatics 20(3): 3222-3231 (2024) - [j129]Yongxuan Chen
An Improved Deep Kernel Partial Least Squares and Its Application to Industrial Data Modeling. IEEE Trans. Ind. Informatics 20(5): 7894-7903 (2024) - [j128]Dianhui Wang
Predicting Particle Size of Copper Ore Grinding With Stochastic Configuration Networks. IEEE Trans. Ind. Informatics 20(11): 12969-12978 (2024) - [c41]Dmitrii V. Minenkov, Alexander S. Voznesensky, Dianhui Wang, Dmitrii I. Kaplun
Effective Hardware Implementation of Convolution with Binary Sequences. MECO 2024: 1-4 - [c40]Dianhui Wang, Matthew J. Felicetti:
Lightweight Stochastic Configuration Networks. SDS 2024: 76-83 - [i14]Dianhui Wang, Gang Dang:
Recurrent Stochastic Configuration Networks for Temporal Data Analytics. CoRR abs/2406.16959 (2024) - [i13]Dianhui Wang, Gang Dang:
Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics. CoRR abs/2407.11038 (2024) - [i12]Gang Dang, Dianhui Wang:
Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modelling. CoRR abs/2410.10072 (2024) - [i11]Gang Dang, Dianhui Wang:
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems. CoRR abs/2410.20904 (2024) - [i10]Xiufeng Yan, Dianhui Wang:
Deeper Insights into Learning Performance of Stochastic Configuration Networks. CoRR abs/2411.08544 (2024) - [i9]Gang Dang, Dianhui Wang:
Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling. CoRR abs/2412.00070 (2024) - 2023
- [j127]Gang Dang, Dianhui Wang:
Stochastic configuration networks for adaptive inverse dynamics modeling. Int. J. Mach. Learn. Cybern. 14(10): 3529-3541 (2023) - [j126]Wenhua Jiao, Ruilin Li, Jianguo Wang, Dianhui Wang
Activity recognition in rehabilitation training based on ensemble stochastic configuration networks. Neural Comput. Appl. 35(28): 21229-21245 (2023) - [j125]Yongfu Wang
Event-Triggered Prespecified Performance Control for Steer-by-Wire Systems With Input Nonlinearity. IEEE Trans. Intell. Transp. Syst. 24(7): 6922-6931 (2023) - [i8]Dianhui Wang, Matthew J. Felicetti
Stochastic Configuration Machines for Industrial Artificial Intelligence. CoRR abs/2308.13570 (2023) - [i7]Matthew J. Felicetti
Stochastic Configuration Machines: FPGA Implementation. CoRR abs/2310.19225 (2023) - 2022
- [j124]Jiye Liang
Incomplete multi-view clustering via local and global co-regularization. Sci. China Inf. Sci. 65(5): 1-16 (2022) - [j123]Yongfu Wang, Gang Luo, Dianhui Wang:
Observer-based fixed-time adaptive fuzzy control for SbW systems with prescribed performance. Eng. Appl. Artif. Intell. 114: 105026 (2022) - [j122]Yongfu Wang, Maoxuan Wang, Dianhui Wang, Yongli Chang:
Stochastic configuration network based cascade generalized predictive control of main steam temperature in power plants. Inf. Sci. 587: 123-141 (2022) - [j121]Matthew J. Felicetti
Deep stochastic configuration networks with optimised model and hyper-parameters. Inf. Sci. 600: 431-441 (2022) - [j120]Shangjie Li, Xianzhen Huang, Dianhui Wang:
Stochastic configuration networks for multi-dimensional integral evaluation. Inf. Sci. 601: 323-339 (2022) - [j119]Weitao Li, Qian Zhang, Dianhui Wang, Wei Sun, Qiyue Li:
Stochastic configuration networks for self-blast state recognition of glass insulators with adaptive depth and multi-scale representation. Inf. Sci. 604: 61-79 (2022) - [j118]Aijun Yan, Jingcheng Guo
Robust stochastic configuration networks for industrial data modelling with Student's-t mixture distribution. Inf. Sci. 607: 493-505 (2022) - [j117]Matthew J. Felicetti
Deep stochastic configuration networks with different random sampling strategies. Inf. Sci. 607: 819-830 (2022) - [j116]Wei Dai, Langlong Ji, Dianhui Wang:
Federated stochastic configuration networks for distributed data analytics. Inf. Sci. 614: 51-70 (2022) - [j115]Wei Dai, Chuanfeng Ning, Jing Nan, Dianhui Wang:
Stochastic configuration networks for imbalanced data classification. Int. J. Mach. Learn. Cybern. 13(10): 2843-2855 (2022) - [j114]Aijun Yan, Jingcheng Guo
Heterogeneous feature ensemble modeling with stochastic configuration networks for predicting furnace temperature of a municipal solid waste incineration process. Neural Comput. Appl. 34(18): 15807-15819 (2022) - [j113]Pengxin Tian, Kai Sun
Performance of soft sensors based on stochastic configuration networks with nonnegative garrote. Neural Comput. Appl. 34(18): 16061-16071 (2022) - [j112]Weitao Li, Yali Deng, Meishuang Ding, Dianhui Wang
Industrial data classification using stochastic configuration networks with self-attention learning features. Neural Comput. Appl. 34(24): 22047-22069 (2022) - [j111]Jie Wang
Graph convolutional autoencoders with co-learning of graph structure and node attributes. Pattern Recognit. 121: 108215 (2022) - [j110]Yan Pan
Multiview Spectral Clustering via Robust Subspace Segmentation. IEEE Trans. Cybern. 52(4): 2467-2476 (2022) - [j109]Jia Chen
Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing. IEEE Trans. Cybern. 52(7): 5935-5946 (2022) - [j108]Yongfu Wang, Yunlong Wang
Observer-Based Composite Adaptive Type-2 Fuzzy Control for PEMFC Air Supply Systems. IEEE Trans. Fuzzy Syst. 30(2): 515-529 (2022) - [c39]Dianhui Wang, Tao Sun, Xin Zhou, Zhuangzhuang Tian, Jianyu Guo, Meng Li, Fangyi Li
Research and development of heavy truck big data management system based on Vue and element UI. ICCIR 2022: 849-853 - 2021
- [j107]Hongen Liu, Hui Yang
Robust speed prediction of high-speed trains based on improved echo state networks. Neural Comput. Appl. 33(7): 2351-2367 (2021) - [j106]Changqin Huang
Stochastic configuration network ensembles with selective base models. Neural Networks 137: 106-118 (2021) - [j105]Ming Li
2-D Stochastic Configuration Networks for Image Data Analytics. IEEE Trans. Cybern. 51(1): 359-372 (2021) - [j104]Wenxuan Liu, Junhua Zhao, Dianhui Wang
Data mining for energy systems: Review and prospect. WIREs Data Mining Knowl. Discov. 11(4) (2021) - 2020
- [j103]Hailiang Ye, Feilong Cao
A hybrid regularization approach for random vector functional-link networks. Expert Syst. Appl. 140 (2020) - [j102]Huakai Zhang
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
Distributed stochastic configuration networks with cooperative learning paradigm. Inf. Sci. 540: 1-16 (2020) - [j100]Wei Wang
Prediction of component concentrations in sodium aluminate liquor using stochastic configuration networks. Neural Comput. Appl. 32(17): 13625-13638 (2020) - [j99]Changqin Huang
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
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
Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression. Inf. Sci. 473: 73-86 (2019) - [j94]Mahardhika Pratama
Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams. Inf. Sci. 495: 150-174 (2019) - [j93]Haijiao Xu, Changqin Huang
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
Building feedforward neural networks with random weights for large scale datasets. Expert Syst. Appl. 106: 233-243 (2018) - [j90]Hongjie Fan
Handling distributed XML queries over large XML data based on MapReduce framework. Inf. Sci. 453: 1-20 (2018) - [j89]Feilong Cao
Efficient saliency detection using convolutional neural networks with feature selection. Inf. Sci. 456: 34-49 (2018) - [j88]Nung Kion Lee, Xi Li
A comprehensive survey on genetic algorithms for DNA motif prediction. Inf. Sci. 466: 25-43 (2018) - [j87]Hien Duy Nguyen
Randomized mixture models for probability density approximation and estimation. Inf. Sci. 467: 135-148 (2018) - [j86]Changqin Huang
Type theory based semantic verification for service composition in cloud computing environments. Inf. Sci. 469: 101-118 (2018) - [j85]Yajun Zhang
Data-Driven PID Controller and Its Application to Pulp Neutralization Process. IEEE Trans. Control. Syst. Technol. 26(3): 828-841 (2018) - [j84]Simone Scardapane
Bayesian Random Vector Functional-Link Networks for Robust Data Modeling. IEEE Trans. Cybern. 48(7): 2049-2059 (2018) - [j83]Hui Yang
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
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
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
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
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
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
Randomness in neural networks: an overview. WIREs Data Mining 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
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
High dimensional data regression using Lasso model and neural networks with random weights. Inf. Sci. 372: 505-517 (2016) - [j65]Simone Scardapane
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
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
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
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
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
Distributed music classification using Random Vector Functional-Link nets. IJCNN 2015: 1-8 - 2014
- [j51]Zhihong Man
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
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, Tianyou 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
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
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
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
Global Convergence of Online BP Training With Dynamic Learning Rate. IEEE Trans. Neural Networks Learn. Syst. 23(2): 330-341 (2012) - [j29]Zhihong Man
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
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
Advances in extreme learning machines (ELM2010). Neurocomputing 74(16): 2411-2412 (2011) - [j26]Zhihong Man
A new robust training algorithm for a class of single-hidden layer feedforward neural networks. Neurocomputing 74(16): 2491-2501 (2011) - [j25]Hongming Yang
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
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
Computational discovery of regulatory DNA motifs using evolutionary computation. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c34]Xi Li
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
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
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
On graph modelling, node ranking and visualisation. Int. J. Intell. Syst. Technol. Appl. 3(3/4): 188-210 (2007) - [j18]Iveta Mrázová
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
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]Dianhui Wang, Xiaohang Ma:
Learning Pseudo Metric for Multimedia Data Classification and Retrieval. KES 2004: 1051-1057 - 2003
- [j9]Runyi Yu, Dianhui Wang:
Structural properties and poles assignability of LTI singular systems under output feedback. Autom. 39(4): 685-692 (2003) - [j8]Runyi Yu, Dianhui Wang:
On impulsive modes of linear singular systems subject to decentralized output feedback. IEEE Trans. Autom. Control. 48(10): 1804-1809 (2003) - [c15]Yingying Wen, Ian H. Witten, Dianhui Wang:
Token Identification Using HMM and PPM Models. Australian Conference on Artificial Intelligence 2003: 173-185 - [c14]Xizhao Wang, Minghua Zhao, Dianhui Wang:
Selection of Parameters in Building Fuzzy Decision Trees. Australian Conference on Artificial Intelligence 2003: 282-292 - [c13]Paul Darbyshire, Dianhui Wang:
Learning to Survive: Increased Learning Rates by Communication in a Multi-agent System. Australian Conference on Artificial Intelligence 2003: 601-611 - [c12]Dianhui Wang, Tharam S. Dillon, Xiaohang Ma:
Robustness for Evaluating Rule?s Generalization Capability in Data Mining. Australian Conference on Artificial Intelligence 2003: 699-709 - [c11]Nung Kion Lee, Dianhui Wang:
Realization of Generalized RBF Network. CITA 2003: 82-88 - [c10]Xiaohang Ma, Dianhui Wang:
Learning Semantic Concepts from Visual Data Using Neural Networks. DICTA 2003: 683-692 - [c9]Alex Talevski, Elizabeth Chang, Dianhui Wang, Tharam S. Dillon:
A Software Engineering Approach to Develop Adaptive RBF Neural Networks. HIS 2003: 86-96 - 2002
- [j7]Runyi Yu, Dianhui Wang:
Algebraic properties of singular systems subject to decentralized output feedback. IEEE Trans. Autom. Control. 47(11): 1898-1903 (2002) - [c8]Dianhui Wang, Nung Kion Lee, Tharam S. Dillon, Nicholas J. Hoogenraad:
Protein Sequences Classification Using Modular RBF Neural Networks. Australian Joint Conference on Artificial Intelligence 2002: 477-486 - [c7]Dianhui Wang, Tharam S. Dillon:
Theoretical Foundation for Nonlinear Edge-Preserving Regularized Learning Image Restoration. Australian Joint Conference on Artificial Intelligence 2002: 693-703 - [c6]Dianhui Wang, Tharam S. Dillon, Elizabeth Chang
Trading off between Misclassification, Recognition and Generalization in Data Mining with Continuous Features. IEA/AIE 2002: 303-313 - 2001
- [j6]Paul Bao, Dianhui Wang:
Edge-preserved neural network model for image restoration. J. Electronic Imaging 10(3): 735-743 (2001) - [j5]Paul Bao, Dianhui Wang:
An Edge-Preserving Image Reconstruction Using Neural Network. J. Math. Imaging Vis. 14(2): 117-130 (2001) - [c5]Dianhui Wang, Tharam S. Dillon, Allan K. Y. Wong:
Design and analysis of one-step-ahead adaptive neural predictive controller. CIRA 2001: 391-395 - [c4]Dianhui Wang, Tharam S. Dillon:
Extraction and optimization of classification rules for continuous or mixed-mode data using neural nets. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2001: 38-45 - [c3]Dianhui Wang, Allan K. Y. Wong, Tharam S. Dillon:
Heuristic Rule Based Neuro-Fuzzy Approach for Adaptive Buffer Management for Internet-based Computing. FUZZ-IEEE 2001: 296-299 - [c2]May T. W. Ip, Wilfred W. K. Lin, Allan K. Y. Wong, Tharam S. Dillon, Dianhui Wang:
An Adaptive Buffer Management Algorithm for Enhancing Dependability and Performance in Mobile-Object-Based Real-Time Computing . ISORC 2001: 138-144 - 2000
- [j4]Dianhui Wang, Paul Bao:
Enhancing the estimation of plant Jacobian for adaptive neural inverse control. Neurocomputing 34(1-4): 99-115 (2000) - [j3]Dianhui Wang, Paul Bao:
Robust impulse control of uncertain singular systems by decentralized output feedback. IEEE Trans. Autom. Control. 45(3): 500-505 (2000) - [j2]Dianhui Wang, Paul Bao:
Robust impulse control of uncertain singular systems by decentralized output feedback. IEEE Trans. Autom. Control. 45(4): 795-800 (2000)
1990 – 1999
- 1999
- [j1]Dianhui Wang, Cheong-Boon Soh:
On regularizing singular systems by decentralized output feedback. IEEE Trans. Autom. Control. 44(1): 148-152 (1999) - [c1]Paul Bao, Dianhui Wang:
Edge-preserving neural network model for image restoration. ISSPA 1999: 147-150
Coauthor Index
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