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ORCIDJianhua Zhang 0004
Person information
- affiliation: Oslo Metropolitan University, Department of Computer Science, OsloMet Artificial Intelligence Lab, Norway
- affiliation (2007 - 2017): East China University of Science and Technology, School of Information Science and Engineering, Shanghai, China
- affiliation (2005 - 2006): University of Sheffield, Intelligent Systems Research Laboratory, UK
- affiliation (PhD 2005): University of Bochum, Germany
Other persons with the same name
- Jianhua Zhang (aka: Jian-hua Zhang, Jian-Hua Zhang) — disambiguation page
- Jianhua Zhang 0001
![[0000-0002-6492-3846]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6492-3846")
— Beijing University of Posts and Telecommunications, Key Lab of Universal Wireless Communications, China - Jianhua Zhang 0002 — Tianjin University of Technology, China (and 2 more)
- Jianhua Zhang 0003 — Jiangsu Normal University, School of Electrical Engineering and Automation, Xuzhou, China
- Jianhua Zhang 0005 — Xuzhou Institute of Technology, School of Mechanical and Electrical Engineering, China (and 1 more)
- Jianhua Zhang 0006 — University of Texas MD Anderson Cancer Center, Department of Genomic Medicine, Houston, TX, USA
- Jianhua Zhang 0007 — North China Electric Power University, School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, China
- Jianhua Zhang 0008 — North China Electric Power University, School of Electrical and Electronic Engineering, Transmission and Distribution System Research Institute, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, China
- Jianhua Zhang 0009 — Southwest University for Nationalities, Chengdu, China (and 1 more)
- Jianhua Zhang 0010 — Qingdao University of Technology, School of Information and Control Engineering, Shandong, China (and 1 more)
- Jianhua Zhang 0011 — East China University of Technology, Nanchang, Jiangxi, China (and 2 more)
- Jianhua Zhang 0012 — Zhengzhou University, School of Management, China
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2020 – today
- 2024
[j24]Zhong Yin, Jiehao Tang, Jing Zhang, Zhe Wang, Jianhua Zhang, Ya-Gang Wang, Bingxue Zhang:
Generic Mental Workload Measurement Using a Shared Spatial Map Network With Different EEG Channel Layouts. IEEE Trans. Instrum. Meas. 73: 1-13 (2024)- [c11]Leila Mozaffari, Jianhua Zhang:
Predictive Modeling of Stock Prices Using Transformer Model. ICMLT 2024: 41-48 - 2023
- [c10]Alexander Soudaei, Jianhua Zhang, Mohamed Elmi, Mikael Tsechoev, Zishan Khan, Ahmed Osman:
Household Energy Consumption Prediction: A Deep Neuroevolution Approach. AI2A 2023: 164-168 - 2020
- [j23]Jianhua Zhang, Zhong Yin, Peng Chen, Stefano Nichele:
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review. Inf. Fusion 59: 103-126 (2020)
2010 – 2019
- 2019
- [j22]Shuo Yang, Zhong Yin, Yagang Wang, Wei Zhang, Yongxiong Wang, Jianhua Zhang:
Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders. Comput. Biol. Medicine 109: 159-170 (2019) - [j21]Zhong Yin, Mengyuan Zhao, Wei Zhang, Yongxiong Wang, Yagang Wang, Jianhua Zhang:
Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework. Neurocomputing 347: 212-229 (2019) - [j20]Jiadong Tao, Zhong Yin, Lei Liu, Ying Tian, Zhanquan Sun, Jianhua Zhang:
Individual-Specific Classification of Mental Workload Levels Via an Ensemble Heterogeneous Extreme Learning Machine for EEG Modeling. Symmetry 11(7): 944 (2019) - [c9]Jianhua Zhang, Jianrong Li:
Multi-modal Recognition of Mental Workload Using Empirical Mode Decomposition and Semi-Supervised Learning. CW 2019: 215-218 - [c8]Jianhua Zhang, Peng Chen, Stefano Nichele, Anis Yazidi:
Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning*. SSCI 2019: 404-409 - [c7]Jianhua Zhang, Jianrong Li, Stefano Nichele:
Instantaneous Mental Workload Classification Using Semi-Supervised Learning*. SSCI 2019: 410-416 - 2018
- [j19]Zhong Yin, Jianhua Zhang:
Task-generic mental fatigue recognition based on neurophysiological signals and dynamical deep extreme learning machine. Neurocomputing 283: 266-281 (2018) - 2017
- [j18]Zhong Yin, Jianhua Zhang:
Cross-session classification of mental workload levels using EEG and an adaptive deep learning model. Biomed. Signal Process. Control. 33: 30-47 (2017) - [j17]Zhong Yin, Mengyuan Zhao, Yongxiong Wang, Jingdong Yang, Jianhua Zhang:
Recognition of emotions using multimodal physiological signals and an ensemble deep learning model. Comput. Methods Programs Biomed. 140: 93-110 (2017) - [j16]Jianhua Zhang, Jia-Jun Xia, Jonathan M. Garibaldi, Petros P. Groumpos, Ru-Bin Wang:
Modeling and control of operator functional state in a unified framework of fuzzy inference petri nets. Comput. Methods Programs Biomed. 144: 147-163 (2017) - [j15]Jianhua Zhang, Tamsyn Edwards:
Guest editorial for special issue on modeling and analysis of human-machine systems in transportation. Cogn. Technol. Work. 19(4): 543-544 (2017) - [j14]Jianhua Zhang, Yongcun Wang, Sunan Li:
Cross-subject mental workload classification using kernel spectral regression and transfer learning techniques. Cogn. Technol. Work. 19(4): 587-605 (2017) - [j13]Jianhua Zhang, Sunan Li:
A deep learning scheme for mental workload classification based on restricted Boltzmann machines. Cogn. Technol. Work. 19(4): 607-631 (2017) - [j12]Jianhua Zhang, Xiqing Cui, Jianrong Li, Rubin Wang:
Imbalanced classification of mental workload using a cost-sensitive majority weighted minority oversampling strategy. Cogn. Technol. Work. 19(4): 633-653 (2017) - [j11]Zhong Yin, Lei Liu, Li Liu, Jianhua Zhang, Yagang Wang:
Dynamical recursive feature elimination technique for neurophysiological signal-based emotion recognition. Cogn. Technol. Work. 19(4): 667-685 (2017) - [j10]Zhong Yin, Yongxiong Wang, Li Liu, Wei Zhang, Jianhua Zhang:
Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination. Frontiers Neurorobotics 11: 19 (2017) - [j9]Zhong Yin, Jianhua Zhang:
Cross-subject recognition of operator functional states via EEG and switching deep belief networks with adaptive weights. Neurocomputing 260: 349-366 (2017) - [j8]Jianhua Zhang, Zhong Yin, Rubin Wang:
Pattern Classification of Instantaneous Cognitive Task-load Through GMM Clustering, Laplacian Eigenmap, and Ensemble SVMs. IEEE ACM Trans. Comput. Biol. Bioinform. 14(4): 947-965 (2017) - [j7]Jianhua Zhang, Zhong Yin, Rubin Wang:
Nonlinear Dynamic Classification of Momentary Mental Workload Using Physiological Features and NARX-Model-Based Least-Squares Support Vector Machines. IEEE Trans. Hum. Mach. Syst. 47(4): 536-549 (2017) - [c6]Peng Chen, Jianhua Zhang:
Performance Comparison of Machine Learning Algorithms for EEG-Signal-Based Emotion Recognition. ICANN (1) 2017: 208-216 - [c5]Jianrong Li, Jianhua Zhang:
Mental Workload Classification Based on Semi-Supervised Extreme Learning Machine. ICANN (2) 2017: 297-304 - 2016
- [j6]Jianhua Zhang, Shaozeng Yang:
A novel PSO algorithm based on an incremental-PID-controlled search strategy. Soft Comput. 20(3): 991-1005 (2016) - [c4]Zengqian Kou, Jianhua Zhang, Rubin Wang:
A self-organizing fuzzy neural network for identification and control of nonlinear systems. CoDIT 2016: 146-151 - 2015
- [j5]Jianhua Zhang, Zhong Yin, Rubin Wang:
Recognition of Mental Workload Levels Under Complex Human-Machine Collaboration by Using Physiological Features and Adaptive Support Vector Machines. IEEE Trans. Hum. Mach. Syst. 45(2): 200-214 (2015) - [c3]Hongjie Chen, Jianhua Zhang, Rubin Wang:
A modified type-2 fuzzy logic system and its applications. ICACI 2015: 73-78 - 2014
- [j4]Jianhua Zhang, Shaozeng Yang:
An incremental-PID-controlled particle swarm optimization algorithm for EEG-data-based estimation of operator functional state. Biomed. Signal Process. Control. 14: 272-284 (2014) - [j3]Zhong Yin, Jianhua Zhang:
Operator functional state classification using least-square support vector machine based recursive feature elimination technique. Comput. Methods Programs Biomed. 113(1): 101-115 (2014) - [j2]Zhong Yin, Jianhua Zhang:
Identification of temporal variations in mental workload using locally-linear-embedding-based EEG feature reduction and support-vector-machine-based clustering and classification techniques. Comput. Methods Programs Biomed. 115(3): 119-134 (2014) - [c2]Yilin Dong, Jianhua Zhang, Jonathan M. Garibaldi:
Neural networks and AdaBoost algorithm based ensemble models for enhanced forecasting of nonlinear time series. IJCNN 2014: 149-156 - [c1]Yilin Dong, Jianhua Zhang:
An improved boosting scheme based ensemble of Fuzzy Neural Networks for nonlinear time series prediction. IJCNN 2014: 157-164 - 2013
- [j1]Shaozeng Yang, Jianhua Zhang:
An adaptive human-machine control system based on multiple fuzzy predictive models of operator functional state. Biomed. Signal Process. Control. 8(3): 302-310 (2013)
Coauthor Index
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