An adaptive human-machine control system based on multiple fuzzy predictive models of operator functional state. - Shaozeng Yang; Jianhua Zhang 004 (Biomed. Signal Process. Control., 2013)

An improved boosting scheme based ensemble of Fuzzy Neural Networks for nonlinear time series prediction. - Yilin Dong; Jianhua Zhang 004 (IJCNN, 2014)

Neural networks and AdaBoost algorithm based ensemble models for enhanced forecasting of nonlinear time series. - Yilin Dong; Jianhua Zhang 004; Jonathan M. Garibaldi (IJCNN, 2014)

An incremental-PID-controlled particle swarm optimization algorithm for EEG-data-based estimation of operator functional state. - Jianhua Zhang 004; Shaozeng Yang (Biomed. Signal Process. Control., 2014)

Operator functional state classification using least-square support vector machine based recursive feature elimination technique. - Zhong Yin; Jianhua Zhang 004 (Comput. Methods Programs Biomed., 2014)

Identification of temporal variations in mental workload using locally-linear-embedding-based EEG feature reduction and support-vector-machine-based clustering and classification techniques. - Zhong Yin; Jianhua Zhang 004 (Comput. Methods Programs Biomed., 2014)

A modified type-2 fuzzy logic system and its applications. - Hongjie Chen; Jianhua Zhang 004; Rubin Wang (ICACI, 2015)

Recognition of Mental Workload Levels Under Complex Human-Machine Collaboration by Using Physiological Features and Adaptive Support Vector Machines. - Jianhua Zhang 004; Zhong Yin; Rubin Wang (IEEE Trans. Hum. Mach. Syst., 2015)

A self-organizing fuzzy neural network for identification and control of nonlinear systems. - Zengqian Kou; Jianhua Zhang 004; Rubin Wang (CoDIT, 2016)

A novel PSO algorithm based on an incremental-PID-controlled search strategy. - Jianhua Zhang 004; Shaozeng Yang (Soft Comput., 2016)

Performance Comparison of Machine Learning Algorithms for EEG-Signal-Based Emotion Recognition. - Peng Chen; Jianhua Zhang 004 (ICANN (1), 2017)

Mental Workload Classification Based on Semi-Supervised Extreme Learning Machine. - Jianrong Li; Jianhua Zhang 004 (ICANN (2), 2017)

Cross-session classification of mental workload levels using EEG and an adaptive deep learning model. - Zhong Yin; Jianhua Zhang 004 (Biomed. Signal Process. Control., 2017)

Recognition of emotions using multimodal physiological signals and an ensemble deep learning model. - Zhong Yin; Mengyuan Zhao; Yongxiong Wang; Jingdong Yang; Jianhua Zhang 004 (Comput. Methods Programs Biomed., 2017)

Modeling and control of operator functional state in a unified framework of fuzzy inference petri nets. - Jianhua Zhang 004; Jia-Jun Xia; Jonathan M. Garibaldi; Petros P. Groumpos; Ru-Bin Wang (Comput. Methods Programs Biomed., 2017)

Dynamical recursive feature elimination technique for neurophysiological signal-based emotion recognition. - Zhong Yin; Lei Liu 035; Li Liu; Jianhua Zhang 004; Yagang Wang (Cogn. Technol. Work., 2017)

Imbalanced classification of mental workload using a cost-sensitive majority weighted minority oversampling strategy. - Jianhua Zhang 004; Xiqing Cui; Jianrong Li; Rubin Wang (Cogn. Technol. Work., 2017)

Guest editorial for special issue on modeling and analysis of human-machine systems in transportation. - Jianhua Zhang 004; Tamsyn Edwards (Cogn. Technol. Work., 2017)

A deep learning scheme for mental workload classification based on restricted Boltzmann machines. - Jianhua Zhang 004; Sunan Li (Cogn. Technol. Work., 2017)

Cross-subject mental workload classification using kernel spectral regression and transfer learning techniques. - Jianhua Zhang 004; Yongcun Wang; Sunan Li (Cogn. Technol. Work., 2017)

Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination. - Zhong Yin; Yongxiong Wang; Li Liu; Wei Zhang 134; Jianhua Zhang 004 (Frontiers Neurorobotics, 2017)

Cross-subject recognition of operator functional states via EEG and switching deep belief networks with adaptive weights. - Zhong Yin; Jianhua Zhang 004 (Neurocomputing, 2017)

Pattern Classification of Instantaneous Cognitive Task-load Through GMM Clustering, Laplacian Eigenmap, and Ensemble SVMs. - Jianhua Zhang 004; Zhong Yin; Rubin Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Nonlinear Dynamic Classification of Momentary Mental Workload Using Physiological Features and NARX-Model-Based Least-Squares Support Vector Machines. - Jianhua Zhang 004; Zhong Yin; Rubin Wang (IEEE Trans. Hum. Mach. Syst., 2017)

Task-generic mental fatigue recognition based on neurophysiological signals and dynamical deep extreme learning machine. - Zhong Yin; Jianhua Zhang 004 (Neurocomputing, 2018)

Multi-modal Recognition of Mental Workload Using Empirical Mode Decomposition and Semi-Supervised Learning. - Jianhua Zhang 004; Jianrong Li (CW, 2019)

Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning*. - Jianhua Zhang 004; Peng Chen; Stefano Nichele; Anis Yazidi (SSCI, 2019)

Instantaneous Mental Workload Classification Using Semi-Supervised Learning*. - Jianhua Zhang 004; Jianrong Li; Stefano Nichele (SSCI, 2019)

Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders. - Shuo Yang; Zhong Yin; Yagang Wang; Wei Zhang 134; Yongxiong Wang; Jianhua Zhang 004 (Comput. Biol. Medicine, 2019)

Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework. - Zhong Yin; Mengyuan Zhao; Wei Zhang 134; Yongxiong Wang; Yagang Wang; Jianhua Zhang 004 (Neurocomputing, 2019)

Individual-Specific Classification of Mental Workload Levels Via an Ensemble Heterogeneous Extreme Learning Machine for EEG Modeling. - Jiadong Tao; Zhong Yin; Lei Liu 035; Ying Tian; Zhanquan Sun 001; Jianhua Zhang 004 (Symmetry, 2019)

Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review. - Jianhua Zhang 004; Zhong Yin; Peng Chen; Stefano Nichele (Inf. Fusion, 2020)

Household Energy Consumption Prediction: A Deep Neuroevolution Approach. - Alexander Soudaei; Jianhua Zhang 004; Mohamed Elmi; Mikael Tsechoev; Zishan Khan; Ahmed Osman (AI2A, 2023)

Predictive Modeling of Stock Prices Using Transformer Model. - Leila Mozaffari; Jianhua Zhang 004 (ICMLT, 2024)

Predicting Stock Prices: Strategies of Ensemble Learning with Transformer, ARIMA, and Linear Regression Models. - Leila Mozaffari; Jianhua Zhang 004 (MLMI, 2024)

Instantaneous estimation of momentary affective responses using neurophysiological signals and a spatiotemporal emotional intensity regression network. - Kaiyu Gan; Ruiding Li; Jianhua Zhang 004; Zhanquan Sun 001; Zhong Yin (Neural Networks, 2024)

Generic Mental Workload Measurement Using a Shared Spatial Map Network With Different EEG Channel Layouts. - Zhong Yin; Jiehao Tang; Jing Zhang 107; Zhe Wang 027; Jianhua Zhang 004; Ya-Gang Wang; Bingxue Zhang (IEEE Trans. Instrum. Meas., 2024)

Enhancing EEG-based individual-generic emotion recognition through invariant sparse patterns extracted from ongoing affective processes. - Yiwen Zhu; Jiehao Tang; Hongjuan Wei; Kaiyu Gan; Jianhua Zhang 004; Zhong Yin (Appl. Soft Comput., 2025)

Enhancing generic cognitive workload recognition with a dynamic hierarchical 3-D attention network and EEG features. - Jing Zhang 107; Wenlong Wu; Jiehao Tang; Yiwen Zhu; Jianhua Zhang 004; Zhong Yin (Expert Syst. Appl., 2025)

SCVCNet: Sliding Cross-Vector Convolution Network for Task-Independent Cognitive Workload Recognition With EEG Measurement. - Qi Wang; Li Chen; Zhiyuan Zhan; Jianhua Zhang 004; Zhong Yin (IEEE Trans. Instrum. Meas., 2025)