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ORCIDDonald C. Wunsch II
Donald C. Wunsch – Donald Wunsch
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- affiliation: Missouri University of Science & Technology, USA
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2020 – today
- 2023
[j112]Daniel B. Hier, Raghu Yelugam, Michael D. Carrithers, Donald C. Wunsch:
The visualization of Orphadata neurology phenotypes. Frontiers Digit. Health 5 (2023)- [j111]Raghu Yelugam
, Leonardo Enzo Brito da Silva, Donald C. Wunsch II:
Topological biclustering ARTMAP for identifying within bicluster relationships. Neural Networks 160: 34-49 (2023) - [j110]Lei Xue, Bei Ma, Jian Liu, Chaoxu Mu, Donald C. Wunsch:
Extended Kalman Filter Based Resilient Formation Tracking Control of Multiple Unmanned Vehicles via Game-Theoretical Reinforcement Learning. IEEE Trans. Intell. Veh. 8(3): 2307-2318 (2023) - [j109]Xingang Fu, Shuhui Li, Donald C. Wunsch, Eduardo Alonso:
Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3751-3763 (2023) - [j108]Tao Wu, Tie Luo, Donald C. Wunsch:
Black-Box Attack using Adversarial Examples: A New Method of Improving Transferability. World Sci. Annu. Rev. Artif. Intell. 1: 2250005:1-2250005:17 (2023) - [i17]Tao Wu, Tie Luo, Donald C. Wunsch:
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty. CoRR abs/2307.04099 (2023) - 2022
- [j107]Ronit Das, Rui Bo, Haotian Chen, Waqas ur Rehman, Donald Wunsch:
Forecasting Nodal Price Difference Between Day-Ahead and Real-Time Electricity Markets Using Long-Short Term Memory and Sequence-to-Sequence Networks. IEEE Access 10: 832-843 (2022) - [j106]Tayo Obafemi-Ajayi, Andy D. Perkins, Bindu Nanduri, Donald C. Wunsch II, James A. Foster, Joan Peckham:
No-boundary thinking: a viable solution to ethical data-driven AI in precision medicine. AI Ethics 2(4): 635-643 (2022) - [j105]Yongliang Yang, Hufei Zhu, Qichao Zhang, Bo Zhao, Zhenning Li, Donald C. Wunsch:
Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space. Artif. Intell. Rev. 55(1): 23-58 (2022) - [j104]Sima Azizi, Daniel B. Hier, Donald C. Wunsch II:
Enhanced neurologic concept recognition using a named entity recognition model based on transformers. Frontiers Digit. Health 4 (2022) - [j103]Quentin Howlett-Prieto, Chelsea Oommen, Michael D. Carrithers, Donald C. Wunsch, Daniel B. Hier:
Subtypes of relapsing-remitting multiple sclerosis identified by network analysis. Frontiers Digit. Health 4 (2022) - [j102]Yongliang Yang, Zihao Ding, Rui Wang, Hamidreza Modares, Donald C. Wunsch:
Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning. IEEE CAA J. Autom. Sinica 9(1): 47-63 (2022) - [j101]Sasha Petrenko, Donald C. Wunsch:
AdaptiveResonance.jl: A Julia Implementation of Adaptive Resonance Theory (ART) Algorithms. J. Open Source Softw. 7(73): 3671 (2022) - [j100]Sasha Petrenko, Donald C. Wunsch:
ClusterValidityIndices.jl: Batch and Incremental Metrics for Unsupervised Learning. J. Open Source Softw. 7(79): 3527 (2022) - [j99]Lien A. Bui, Dacosta Yeboah, Louis Steinmeister, Sima Azizi, Daniel B. Hier, Donald C. Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi:
Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1365-1378 (2022) - [j98]Yongliang Yang, Hamidreza Modares, Kyriakos G. Vamvoudakis, Wei He, Cheng-Zhong Xu, Donald C. Wunsch:
Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors. IEEE Trans. Cybern. 52(12): 13762-13773 (2022) - [j97]Weinan Gao, Mohammed Mynuddin, Donald C. Wunsch, Zhong-Ping Jiang:
Reinforcement Learning-Based Cooperative Optimal Output Regulation via Distributed Adaptive Internal Model. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5229-5240 (2022) - [j96]Xiaoyang Liu, Yi Huang, Zhigang Zeng, Donald C. Wunsch:
Memristor-Based HTM Spatial Pooler With On-Device Learning for Pattern Recognition. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1901-1915 (2022) - [c113]Tao Wu, Tie Luo, Donald C. Wunsch:
Learning Deep Representations via Contrastive Learning for Instance Retrieval. SSCI 2022: 1501-1506 - [i16]Tao Wu, Tie Luo, Donald Wunsch:
Learning Deep Representations via Contrastive Learning for Instance Retrieval. CoRR abs/2209.13832 (2022) - 2021
- [j95]Yongliang Yang, Zhijie Liu, Qing Li, Donald C. Wunsch:
Output Constrained Adaptive Controller Design for Nonlinear Saturation Systems. IEEE CAA J. Autom. Sinica 8(2): 441-454 (2021) - [j94]George J. Shannon, Nagasharath Rayapati, Steven M. Corns, Donald C. Wunsch II:
Comparative study using inverse ontology cogency and alternatives for concept recognition in the annotated National Library of Medicine database. Neural Networks 139: 86-104 (2021) - [j93]Yongliang Yang, Kyriakos G. Vamvoudakis, Hamidreza Modares, Yixin Yin, Donald C. Wunsch:
Hamiltonian-Driven Hybrid Adaptive Dynamic Programming. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 6423-6434 (2021) - [c112]Donald C. Wunsch, Daniel B. Hier:
Subsumption reduces dataset dimensionality without decreasing performance of a machine learning classifier. EMBC 2021: 1618-1621 - [c111]Sima Azizi, Daniel B. Hier, Donald C. Wunsch:
Schizophrenia Classification Using Resting State EEG Functional Connectivity: Source Level Outperforms Sensor Level. EMBC 2021: 1770-1773 - [i15]Leonardo Enzo Brito da Silva, Nagasharath Rayapati, Donald C. Wunsch II:
Incremental cluster validity index-guided online learning for performance and robustness to presentation order. CoRR abs/2108.07743 (2021) - 2020
- [j92]Leonardo Enzo Brito da Silva, Niklas Melton, Donald C. Wunsch:
Incremental Cluster Validity Indices for Online Learning of Hard Partitions: Extensions and Comparative Study. IEEE Access 8: 22025-22047 (2020) - [j91]Dacosta Yeboah, Louis Steinmeister, Daniel B. Hier, Bassam Hadi, Donald C. Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi:
An Explainable and Statistically Validated Ensemble Clustering Model Applied to the Identification of Traumatic Brain Injury Subgroups. IEEE Access 8: 180690-180705 (2020) - [j90]Marcin Zalasinski, Krzysztof Cpalka, Lukasz Laskowski, Donald C. Wunsch, Krzysztof Przybyszewski:
An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors. J. Artif. Intell. Soft Comput. Res. 10(3): 173-187 (2020) - [j89]Yongliang Yang, Dawei Ding, Haoyi Xiong, Yixin Yin, Donald C. Wunsch:
Online barrier-actor-critic learning for H∞ control with full-state constraints and input saturation. J. Frankl. Inst. 357(6): 3316-3344 (2020) - [j88]Daniel B. Hier, Jonathan Kopel, Steven U. Brint, Donald C. Wunsch, Gayla R. Olbricht, Sima Azizi, Blaine Allen:
Evaluation of standard and semantically-augmented distance metrics for neurology patients. BMC Medical Informatics Decis. Mak. 20(1): 203 (2020) - [j87]Leonardo Enzo Brito da Silva, Islam Elnabarawy, Donald C. Wunsch II:
Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence. Neural Networks 121: 208-228 (2020) - [j86]Xiaoyang Liu, Zhigang Zeng, Donald C. Wunsch II:
Memristor-based LSTM network with in situ training and its applications. Neural Networks 131: 300-311 (2020) - [j85]Shuhui Li, Hoyun Won, Xingang Fu, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso:
Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results. IEEE Trans. Cybern. 50(7): 3218-3230 (2020) - [j84]Yongliang Yang, Hamidreza Modares, Kyriakos G. Vamvoudakis, Yixin Yin, Donald C. Wunsch:
Dynamic Intermittent Feedback Design for $H_{\infty}$ Containment Control on a Directed Graph. IEEE Trans. Cybern. 50(8): 3752-3765 (2020) - [j83]Seaar Al Dabooni, Donald Wunsch:
Convergence of Recurrent Neuro-Fuzzy Value-Gradient Learning With and Without an Actor. IEEE Trans. Fuzzy Syst. 28(4): 658-672 (2020) - [j82]Seaar Al Dabooni, Donald C. Wunsch:
An Improved N-Step Value Gradient Learning Adaptive Dynamic Programming Algorithm for Online Learning. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1155-1169 (2020) - [j81]Seaar Al Dabooni, Donald C. Wunsch:
Online Model-Free n-Step HDP With Stability Analysis. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1255-1269 (2020) - [j80]Yongliang Yang, Kyriakos G. Vamvoudakis, Hamidreza Modares, Yixin Yin, Donald C. Wunsch:
Safe Intermittent Reinforcement Learning With Static and Dynamic Event Generators. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5441-5455 (2020) - [c110]Sepehr Saadatmand, Sima Azizi, Mohammadamir Kavousi, Donald Wunsch:
Autonomous Control of a Line Follower Robot Using a Q-Learning Controller. CCWC 2020: 556-561 - [c109]Zachary Roy, Sujit Subhash, Lien A. Bui, Bassam Hadi, Daniel B. Hier, Donald Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi:
Exploratory Analysis of Concussion Recovery Trajectories using Multi-modal Assessments and Serum Biomarkers. EMBC 2020: 5514-5518 - [c108]Raghu Yelugam, Leonardo Enzo Brito da Silva, Donald C. Wunsch:
TopoBARTMAP: Biclustering ARTMAP with or without Topological Methods in a Blood Cancer Case Study. IJCNN 2020: 1-8 - [c107]Ronit Das, Rui Bo, Waqas ur Rehman, Haotian Chen, Donald Wunsch:
Cross-Market Price Difference Forecast Using Deep Learning for Electricity Markets. ISGT-Europe 2020: 854-858 - [c106]Sujit Subhash, Tayo Obafemi-Ajayi, Dennis Goodman, Donald C. Wunsch II, Gayla R. Olbricht:
Predictive Modeling of Sports-Related Concussions using Clinical Assessment Metrics. SSCI 2020: 513-520 - [i14]Sepehr Saadatmand, Sima Azizi, Mohammadamir Kavousi, Donald Wunsch:
Autonomous Control of a Line Follower Robot Using a Q-Learning Controller. CoRR abs/2001.08841 (2020) - [i13]Islam Elnabarawy, Wei Jiang, Donald C. Wunsch II:
Survey of Privacy-Preserving Collaborative Filtering. CoRR abs/2003.08343 (2020) - [i12]Islam Elnabarawy, Kristijana Arroyo, Donald C. Wunsch II:
StarCraft II Build Order Optimization using Deep Reinforcement Learning and Monte-Carlo Tree Search. CoRR abs/2006.10525 (2020) - [i11]Leonardo Enzo Brito da Silva, Nagasharath Rayapati, Donald C. Wunsch II:
iCVI-ARTMAP: Accelerating and improving clustering using adaptive resonance theory predictive mapping and incremental cluster validity indices. CoRR abs/2008.09903 (2020)
2010 – 2019
- 2019
- [b3]Tetyana Baydyk, Ernst M. Kussul, Donald C. Wunsch II:
Intelligent Automation in Renewable Energy. Springer 2019, ISBN 978-3-030-02235-8, pp. 1-285 - [b2]Lei Meng, Ah-Hwee Tan, Donald C. Wunsch II:
Adaptive Resonance Theory in Social Media Data Clustering - Roles, Methodologies, and Applications. Advanced Information and Knowledge Processing, Springer 2019, ISBN 978-3-030-02984-5, pp. 3-179 - [j79]Yongliang Yang, Liming Wang, Hamidreza Modares, Dawei Ding, Yixin Yin, Donald Wunsch:
Data-Driven Integral Reinforcement Learning for Continuous-Time Non-Zero-Sum Games. IEEE Access 7: 82901-82912 (2019) - [j78]Leonardo Enzo Brito da Silva, Islam El-Nabarawy, Donald C. Wunsch II:
Dual vigilance fuzzy adaptive resonance theory. Neural Networks 109: 1-5 (2019) - [j77]Leonardo Enzo Brito da Silva, Islam Elnabarawy, Donald C. Wunsch II:
A survey of adaptive resonance theory neural network models for engineering applications. Neural Networks 120: 167-203 (2019) - [j76]Yongliang Yang, Hamidreza Modares, Donald C. Wunsch, Yixin Yin:
Optimal Containment Control of Unknown Heterogeneous Systems With Active Leaders. IEEE Trans. Control. Syst. Technol. 27(3): 1228-1236 (2019) - [j75]Pavlo V. Tymoshchuk, Donald C. Wunsch:
Design of a K-Winners-Take-All Model With a Binary Spike Train. IEEE Trans. Cybern. 49(8): 3131-3140 (2019) - [j74]Seaar Al Dabooni, Donald Wunsch:
Model Order Reduction Based on Agglomerative Hierarchical Clustering. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1881-1895 (2019) - [j73]Seaar Al Dabooni, Donald Wunsch:
The Boundedness Conditions for Model-Free HDP(λ). IEEE Trans. Neural Networks Learn. Syst. 30(7): 1928-1942 (2019) - [j72]Wei He, Changyin Sun, Donald C. Wunsch, Richard Yi Da Xu:
Guest Editorial Special Issue on Intelligent Control Through Neural Learning and Optimization for Human-Machine Hybrid Systems. IEEE Trans. Neural Networks Learn. Syst. 30(12): 3530-3533 (2019) - [j71]Yongliang Yang, Zhishan Guo, Haoyi Xiong, Da-Wei Ding, Yixin Yin, Donald C. Wunsch:
Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 30(12): 3735-3747 (2019) - [c105]Yongliang Yang, Yixin Yin, Wei He, Kyriakos G. Vamvoudakis, Hamidreza Modares, Donald C. Wunsch:
Safety-Aware Reinforcement Learning Framework with an Actor-Critic-Barrier Structure. ACC 2019: 2352-2358 - [c104]Yongliang Yang, Kyriakos G. Vamvoudakis, Hamidreza Modares, Wei He, Yixin Yin, Donald C. Wunsch:
Safe Intermittent Reinforcement Learning for Nonlinear Systems. CDC 2019: 690-697 - [c103]Marketa Illetskova, Islam El-Nabarawy, Leonardo Enzo Brito da Silva, Daniel R. Tauritz, Donald C. Wunsch II:
Nested monte carlo search expression discovery for the automated design of fuzzy ART category choice functions. GECCO (Companion) 2019: 171-172 - [c102]Liming Wang, Yongliang Yang, Dawei Ding, Yixin Yin, Zhishan Guo, Donald C. Wunsch:
Model-Free Temporal Difference Learning for Non-Zero-Sum Games. IJCNN 2019: 1-6 - [c101]Islam Elnabarawy, Donald C. Wunsch, Leonardo Enzo Brito da Silva:
Dual Vigilance Hypersphere Adaptive Resonance Theory. SSCI 2019: 2425-2532 - [i10]Leonardo Enzo Brito da Silva, Islam El-Nabarawy, Donald C. Wunsch II:
Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence. CoRR abs/1901.00794 (2019) - [i9]Leonardo Enzo Brito da Silva, Niklas Melton, Donald C. Wunsch II:
Incremental Cluster Validity Indices for Hard Partitions: Extensions and Comparative Study. CoRR abs/1902.06711 (2019) - [i8]Leonardo Enzo Brito da Silva, Islam El-Nabarawy, Donald C. Wunsch II:
A Survey of Adaptive Resonance Theory Neural Network Models for Engineering Applications. CoRR abs/1905.11437 (2019) - [i7]Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch:
Neural Network Predictive Controller for Grid-Connected Virtual Synchronous Generator. CoRR abs/1908.05199 (2019) - [i6]Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch:
Heuristic Dynamic Programming for Adaptive Virtual Synchronous Generators. CoRR abs/1908.05744 (2019) - [i5]Dustin Tanksley, Donald C. Wunsch II:
Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero. CoRR abs/1909.03032 (2019) - [i4]Donald C. Wunsch:
Admiring the Great Mountain: A Celebration Special Issue in Honor of Stephen Grossbergs 80th Birthday. CoRR abs/1910.13351 (2019) - 2018
- [j70]Yongliang Yang, Shusen Cheng, Yixin Yin, Donald C. Wunsch:
Containment Control of Heterogeneous Systems With Non-Autonomous Leaders: A Distributed Optimal Model Reference Approach. IEEE Access 6: 60689-60703 (2018) - [j69]Lei Xue, Changyin Sun, Donald Wunsch, Yingjiang Zhou, Fang Yu:
An adaptive strategy via reinforcement learning for the prisoner U+02BC s dilemma game. IEEE CAA J. Autom. Sinica 5(1): 301-310 (2018) - [j68]Guang-Bin Huang, Q. M. Jonathan Wu, Donald C. Wunsch II:
Hierarchical extreme learning machines. Neurocomputing 277: 1-3 (2018) - [j67]Yongliang Yang, Hamidreza Modares, Donald C. Wunsch, Yixin Yin:
Leader-Follower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2139-2153 (2018) - [j66]Leonardo Enzo Brito da Silva, Donald C. Wunsch:
An Information-Theoretic-Cluster Visualization for Self-Organizing Maps. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2595-2613 (2018) - [c100]Yongliang Yang, Hamidreza Modares, Kyriakos G. Vamvoudakis, Yixin Yin, Donald C. Wunsch:
Model-Free Event-Triggered Containment Control of Multi-Agent Systems. ACC 2018: 877-884 - [c99]Ashraf M. Abdelbar, Islam El-Nabarawy, Khalid M. Salama, Donald C. Wunsch:
Matrix Factorization Based Collaborative Filtering With Resilient Stochastic Gradient Descent. IJCNN 2018: 1-7 - [c98]Leonardo Enzo Brito da Silva, Donald C. Wunsch:
A study on exploiting VAT to mitigate ordering effects in Fuzzy ART. IJCNN 2018: 1-8 - [c97]Yongliang Yang, Xianzhong Chen, Yixin Yin, Donald C. Wunsch:
Off-Policy Integral Reinforcement Learning for Semi-Global Constrained Output Regulation of Continuous-Time Linear Systems. IJCNN 2018: 1-6 - 2017
- [j65]Khalid Al-Jabery, Zhezhao Xu, Wenjian Yu, Donald C. Wunsch, Jinjun Xiong, Yiyu Shi:
Demand-Side Management of Domestic Electric Water Heaters Using Approximate Dynamic Programming. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(5): 775-788 (2017) - [j64]Dao Lam, Donald C. Wunsch:
Unsupervised Feature Learning Classification With Radial Basis Function Extreme Learning Machine Using Graphic Processors. IEEE Trans. Cybern. 47(1): 224-231 (2017) - [j63]Yongliang Yang, Donald Wunsch, Yixin Yin:
Hamiltonian-Driven Adaptive Dynamic Programming for Continuous Nonlinear Dynamical Systems. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1929-1940 (2017) - [j62]Fuchun Sun, Guang-Bin Huang, Q. M. Jonathan Wu, Shiji Song, Donald C. Wunsch II:
Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2625-2626 (2017) - [c96]Tayo Obafemi-Ajayi, Luke Settles, Yuqing Su, Cynthia Germeroth, Gayla R. Olbricht, Donald C. Wunsch, T. Nicole Takahashi, Judith H. Miles:
Genetic variant analysis of boys with Autism: A pilot study on linking facial phenotype to genotype. BIBM 2017: 253-257 - [c95]Islam El-Nabarawy, Daniel R. Tauritz, Donald C. Wunsch:
Evolutionary computation for the automated design of category functions for fuzzy ART: an initial exploration. GECCO (Companion) 2017: 1133-1140 - [c94]Yongliang Yang, Donald Wunsch, Yixin Yin:
Hamiltonian-driven adaptive dynamic programming for nonlinear discrete-time dynamic systems. IJCNN 2017: 1339-1346 - [c93]Seaar Al Dabooni, Donald Wunsch:
Mobile robot control based on hybrid neuro-fuzzy value gradient reinforcement learning. IJCNN 2017: 2820-2827 - [c92]Yongliang Yang, Donald Wunsch, Zhishan Guo, Yixin Yin:
Hamiltonian-Driven Adaptive Dynamic Programming Based on Extreme Learning Machine. ISNN (1) 2017: 197-205 - [c91]Jason H. Moore, Steven F. Jennings, Casey S. Greene, Lawrence E. Hunter, Andy D. Perkins, ClarLynda R. Williams-DeVane, Donald C. Wunsch, Zhongming Zhao, Xiuzhen Huang:
No-Boundary Thinking in Bioinformatics. PSB 2017: 646-648 - [c90]Ayah M. Helal, Enas Jawdat, Islam El-Nabarawy, Donald C. Wunsch, Ashraf M. Abdelbar:
Integrated particle swarm and evolutionary algorithm approaches to the quadratic assignment problem. SSCI 2017: 1-5 - [c89]Tayo Obafemi-Ajayi, Khalid Al-Jabery, Lauren E. Salminen, David H. Laidlaw, Ryan P. Cabeen, Donald Wunsch, Robert H. Paul:
Neuroimaging biomarkers of cognitive decline in healthy older adults via unified learning. SSCI 2017: 1-9 - [c88]George J. Shannon, James M. Levett, Steven M. Corns, Donald C. Wunsch:
Cognitive relevance. SSCI 2017: 1-8 - [c87]Leonardo Enzo Brito da Silva, Donald C. Wunsch:
Validity index-based vigilance test in adaptive resonance theory neural networks. SSCI 2017: 1-8 - [c86]Yongliang Yang, Ruizhuo Song, Yixin Yin, Donald C. Wunsch, Hamidreza Modares:
Containment control of heterogeneous systems with active leaders of bounded unknown control using reinforcement learning. SSCI 2017: 1-7 - 2016
- [j61]Lei Meng, Ah-Hwee Tan, Donald C. Wunsch:
Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2656-2669 (2016) - [c85]Niklas Melton, Donald C. Wunsch:
Enhancing supervisory training signals with environmental reinforcement learning using adaptive dynamic programming and artificial neural networks. ICCI*CC 2016: 331-335 - [c84]Khalid Al-Jabery, Tayo Obafemi-Ajayi, Gayla R. Olbricht, T. Nicole Takahashi, Stephen Kanne, Donald C. Wunsch:
Ensemble statistical and subspace clustering model for analysis of autism spectrum disorder phenotypes. EMBC 2016: 3329-3333 - [c83]John Matta, Tayo Obafemi-Ajayi, Jeffrey Borwey, Donald C. Wunsch, Gunes Ercal:
Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures. ICDM 2016: 320-329 - [c82]Islam El-Nabarawy, Donald C. Wunsch II, Ashraf M. Abdelbar:
Biclustering ARTMAP collaborative filtering recommender system. IJCNN 2016: 2986-2991 - [c81]Leonardo Enzo Brito da Silva, Donald C. Wunsch II:
An information theoretic ART for robust unsupervised learning. IJCNN 2016: 3023-3029 - [c80]Seaar Al Dabooni, Donald Wunsch:
Heuristic dynamic programming for mobile robot path planning based on Dyna approach. IJCNN 2016: 3723-3730 - 2015
- [j60]Dao Lam, Mingzhen Wei, Donald C. Wunsch:
Clustering Data of Mixed Categorical and Numerical Type With Unsupervised Feature Learning. IEEE Access 3: 1605-1613 (2015) - [j59]Xiuzhen Huang, Steven F. Jennings, Barry Bruce, Alison Buchan, Liming Cai, Pengyin Chen, Carole L. Cramer, Weihua Guan, Uwe Hilgert, Hongmei Jiang, Zenglu Li, Gail McClure, Donald F. McMullen, Bindu Nanduri, Andy D. Perkins, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Karl Walker, Donald C. Wunsch, Donghai Xiong, Shuzhong Zhang, Yu Zhang, Zhongming Zhao, Jason H. Moore:
Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm. BioData Min. 8: 7 (2015) - [j58]Xingang Fu, Shuhui Li, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso:
Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1900-1912 (2015) - [c79]Tayo Obafemi-Ajayi, Dao Lam, T. Nicole Takahashi, Stephen Kanne, Donald C. Wunsch:
Sorting the phenotypic heterogeneity of autism spectrum disorders: A hierarchical clustering model. CIBCB 2015: 1-7 - [c78]Shuhui Li, Xingang Fu, Ishan Jaithwa, Eduardo Alonso, Michael Fairbank, Donald C. Wunsch II:
Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks. IJCCI (NCTA) 2015: 58-69 - [c77]Leonardo Enzo Brito da Silva, Donald C. Wunsch:
Multi-prototype local density-based hierarchical clustering. IJCNN 2015: 1-9 - [c76]Clayton Smith, Donald Wunsch:
Particle Swarm Optimization in an adaptive resonance framework. IJCNN 2015: 1-4 - [c75]Clayton Smith, Donald Wunsch:
Time series prediction via two-step clustering. IJCNN 2015: 1-4 - 2014
- [j57]