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2020 – today
- 2023
[j64]Xiang Li
, Qing Liu, Shiqing Wu, Zehong Cao, Quan Bai:
Game theory based compatible incentive mechanism design for non-cryptocurrency blockchain systems. J. Ind. Inf. Integr. 31: 100426 (2023)- [j63]Lin Jiang, Fali Li, Zhaojin Chen, Bin Zhu, Chanlin Yi, Yuqin Li, Tao Zhang, Yueheng Peng, Yajing Si, Zehong Cao, Antao Chen, Dezhong Yao, Xun Chen, Peng Xu:
Information transmission velocity-based dynamic hierarchical brain networks. NeuroImage 270: 119997 (2023) - [j62]Zehong Cao, Chin-Teng Lin:
Reinforcement Learning From Hierarchical Critics. IEEE Trans. Neural Networks Learn. Syst. 34(2): 1066-1073 (2023) - [j61]Shiming Chen, Peng Zhang, Guo-Sen Xie, Qinmu Peng, Zehong Cao, Wei Yuan, Xinge You:
Kernelized Similarity Learning and Embedding for Dynamic Texture Synthesis. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 824-837 (2023) - 2022
- [j60]Qingyong Wang, Yun Zhou, Zehong Cao, Weiming Zhang:
M2SPL: Generative multiview features with adaptive meta-self-paced sampling for class-imbalance learning. Expert Syst. Appl. 189: 115999 (2022) - [j59]Chaosheng Zhu, Fuyuan Xiao, Zehong Cao:
A generalized Rényi divergence for multi-source information fusion with its application in EEG data analysis. Inf. Sci. 605: 225-243 (2022) - [j58]Shunchao Wang, Zhibin Li, Zehong Cao, Alireza Jolfaei, Qi Cao:
Jam-Absorption Driving Strategy for Improving Safety Near Oscillations in a Connected Vehicle Environment Considering Consequential Jams. IEEE Intell. Transp. Syst. Mag. 14(2): 41-52 (2022) - [j57]Zhe Wang, Fuyuan Xiao, Zehong Cao:
Uncertainty measurements for Pythagorean fuzzy set and their applications in multiple-criteria decision making. Soft Comput. 26(19): 9937-9952 (2022) - [j56]Weiping Ding, Yurui Ming, Zehong Cao, Chin-Teng Lin:
A Generalized Deep Neural Network Approach for Digital Watermarking Analysis. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 613-627 (2022) - [j55]Ye Shi, Leijie Zhang, Zehong Cao, Muhammad Tanveer, Chin-Teng Lin:
Distributed Semisupervised Fuzzy Regression With Interpolation Consistency Regularization. IEEE Trans. Fuzzy Syst. 30(8): 3125-3137 (2022) - [i15]Zehong Cao, Jie Yun:
Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving. CoRR abs/2201.08116 (2022) - [i14]Ye Shi, Leijie Zhang, Zehong Cao, Muhammad Tanveer, Chin-Teng Lin:
Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization. CoRR abs/2209.09240 (2022) - 2021
- [j54]Fuyuan Xiao, Masayoshi Aritsugi, Jemal H. Abawajy, Zehong Cao, Rami Al-Hmouz, Peide Liu:
Editorial on Special Issue: "Applications of Intelligent and Fuzzy Theory in Data Science". Int. J. Fuzzy Syst. 23(2): 492-493 (2021) - [j53]Changzhong Wang, Yang Huang, Weiping Ding, Zehong Cao:
Attribute reduction with fuzzy rough self-information measures. Inf. Sci. 549: 68-86 (2021) - [j52]Chaosheng Zhu, Bowen Qin, Fuyuan Xiao, Zehong Cao, Hari Mohan Pandey:
A fuzzy preference-based Dempster-Shafer evidence theory for decision fusion. Inf. Sci. 570: 306-322 (2021) - [j51]Zaoli Yang, Harish Garg, Jinqiu Li, Gautam Srivastava, Zehong Cao:
Investigation of multiple heterogeneous relationships using a q-rung orthopair fuzzy multi-criteria decision algorithm. Neural Comput. Appl. 33(17): 10771-10786 (2021) - [j50]Kexu Zhang, Wen Shi, Chang Wang, Yamin Li, Zhian Liu, Tun Liu, Jing Li, Xiangguo Yan, Qiang Wang, Zehong Cao, Gang Wang:
Reliability of EEG microstate analysis at different electrode densities during propofol-induced transitions of brain states. NeuroImage 231: 117861 (2021) - [j49]Gaoping Liu, Zehong Cao, Qiang Xu, Qirui Zhang, Fang Yang, Xinyu Xie, Jingru Hao, Yinghuan Shi, Boris C. Bernhardt, Yichu He, Feng Shi, Guangming Lu, Zhiqiang Zhang:
Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution. NeuroImage 245: 118687 (2021) - [j48]Fali Li, Chanlin Yi, Yuanyuan Liao, Yuanling Jiang, Yajing Si, Limeng Song, Tao Zhang, Dezhong Yao, Yangsong Zhang, Zehong Cao, Peng Xu:
Reconfiguration of Brain Network Between Resting State and P300 Task. IEEE Trans. Cogn. Dev. Syst. 13(2): 383-390 (2021) - [j47]Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin:
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1645-1666 (2021) - [j46]Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Qinmu Peng, Zehong Cao, Weiping Ding:
CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network. IEEE Trans. Evol. Comput. 25(5): 986-1000 (2021) - [j45]Weiping Ding, Nikhil R. Pal, Chin-Teng Lin, Yiu-ming Cheung, Zehong Cao, Wenjian Luo:
Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 2-5 (2021) - [j44]Fuyuan Xiao, Zehong Cao, Alireza Jolfaei:
A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis. IEEE Trans. Fuzzy Syst. 29(1): 186-197 (2021) - [j43]Weiping Ding, Witold Pedrycz, Isaac Triguero, Zehong Cao, Chin-Teng Lin:
Multigranulation Supertrust Model for Attribute Reduction. IEEE Trans. Fuzzy Syst. 29(6): 1395-1408 (2021) - [j42]Zehong Cao, Chin-Teng Lin, Yong Deng, Gerhard-Wilhelm Weber:
Guest Editorial: Fuzzy Systems Toward Human-Explainable Artificial Intelligence and Their Applications. IEEE Trans. Fuzzy Syst. 29(12): 3577-3578 (2021) - [j41]Yu-Cheng Chang, Ye Shi, Anna Dostovalova, Zehong Cao, Jijoong Kim, Daniel Gibbons, Chin-Teng Lin:
Interpretable Fuzzy Logic Control for Multirobot Coordination in a Cluttered Environment. IEEE Trans. Fuzzy Syst. 29(12): 3676-3685 (2021) - [j40]Liming Fang, Yang Li, Zhe Liu, Changchun Yin, Minghui Li, Zehong Cao:
A Practical Model Based on Anomaly Detection for Protecting Medical IoT Control Services Against External Attacks. IEEE Trans. Ind. Informatics 17(6): 4260-4269 (2021) - [j39]Yamin Li, Wen Shi, Zhian Liu, Jing Li, Qiang Wang, Xiangguo Yan, Zehong Cao, Gang Wang:
Effective Brain State Estimation During Propofol-Induced Sedation Using Advanced EEG Microstate Spectral Analysis. IEEE J. Biomed. Health Informatics 25(4): 978-987 (2021) - [j38]Zemian Ke, Zhibin Li, Zehong Cao, Pan Liu:
Enhancing Transferability of Deep Reinforcement Learning-Based Variable Speed Limit Control Using Transfer Learning. IEEE Trans. Intell. Transp. Syst. 22(7): 4684-4695 (2021) - [j37]Joyce Chelangat Bore, Peiyang Li, Lin Jiang, Walid Mohammed Ahmed Ayedh, Chunli Chen, Dennis Joe Harmah, Dezhong Yao, Zehong Cao, Peng Xu:
A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging. IEEE Trans. Medical Imaging 40(12): 3787-3800 (2021) - [j36]Meng Li, Zehong Cao, Zhibin Li:
A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillations. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5309-5322 (2021) - [j35]Zehong Cao, Kaichiu Wong, Chin-Teng Lin:
Weak Human Preference Supervision for Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5369-5378 (2021) - [j34]Zijie Yue, Shuai Ding, Lei Zhao, Youtao Zhang, Zehong Cao, Mohammad Tanveer, Alireza Jolfaei, Xi Zheng:
Privacy-preserving Time-series Medical Images Analysis Using a Hybrid Deep Learning Framework. ACM Trans. Internet Techn. 21(3): 57:1-57:21 (2021) - [j33]Zeyi Liu, Fuyuan Xiao, Chin-Teng Lin, Byeong Ho Kang, Zehong Cao:
A Generalized Golden Rule Representative Value for Multiple-Criteria Decision Analysis. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3193-3204 (2021) - [c13]Xiaohu Li, Zehong Cao, Quan Bai:
A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles. AAAI 2021: 16075-16077 - [c12]Zehong Cao, Jie Yun:
An Online Human-Agent Interaction System: A Brain-controlled Agent Playing Games in Unity. AAMAS 2021: 1758-1760 - [c11]Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen:
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. MLMI@MICCAI 2021: 258-266 - [i13]Xinping Liu, Zehong Cao:
Retrieving Event-related Human Brain Dynamics from Natural Sentence Reading. CoRR abs/2103.15500 (2021) - 2020
- [j32]Zehong Cao, Peng Xu, Zhiguo Zhang, Gang Wang, Samu Taulu, Leandro Beltrachini:
IEEE Access Special Section Editorial: Neural Engineering Informatics. IEEE Access 8: 201696-201699 (2020) - [j31]Zehong Cao, Weiping Ding, Yu-Kai Wang, Farookh Khadeer Hussain, Adel Al-Jumaily, Chin-Teng Lin:
Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy. Neurocomputing 389: 198-206 (2020) - [j30]Qi Li, Zehong Cao, Muhammad Tanveer, Hari Mohan Pandey, Chen Wang:
A Semantic Collaboration Method Based on Uniform Knowledge Graph. IEEE Internet Things J. 7(5): 4473-4484 (2020) - [j29]Liming Fang, Yang Li, Xinyu Yun, Zhenyu Wen, Shouling Ji, Weizhi Meng, Zehong Cao, Muhammad Tanveer:
THP: A Novel Authentication Scheme to Prevent Multiple Attacks in SDN-Based IoT Network. IEEE Internet Things J. 7(7): 5745-5759 (2020) - [j28]Yuzhen Han, Yong Deng, Zehong Cao, Chin-Teng Lin:
An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making. Neural Comput. Appl. 32(12): 7641-7659 (2020) - [j27]Yajing Si, Fali Li, Keyi Duan, Qin Tao, Cunbo Li, Zehong Cao, Yangsong Zhang, Bharat B. Biswal, Peiyang Li, Dezhong Yao, Peng Xu:
Predicting individual decision-making responses based on single-trial EEG. NeuroImage 206 (2020) - [j26]Qi Li, Jiang Zhong, Zehong Cao, Xue Li:
Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy. Optim. Methods Softw. 35(6): 1144-1159 (2020) - [j25]Cuiping Cheng, Zehong Cao, Fuyuan Xiao:
A generalized belief interval-valued soft set with applications in decision making. Soft Comput. 24(13): 9339-9350 (2020) - [j24]Qi Li, Zehong Cao, Weiping Ding, Qing Li:
A multi-objective adaptive evolutionary algorithm to extract communities in networks. Swarm Evol. Comput. 52 (2020) - [j23]Weiping Ding, Gary G. Yen, Xinye Cai, Zehong Cao:
Foreword: Evolutionary data mining for big data. Swarm Evol. Comput. 57: 100738 (2020) - [j22]Liming Fang, Hongwei Zhu, Boqing Lv, Zhe Liu, Weizhi Meng, Yu Yu, Shouling Ji, Zehong Cao:
HandiText: Handwriting Recognition Based on Dynamic Characteristics with Incremental LSTM. Trans. Data Sci. 1(4): 25:1-25:18 (2020) - [j21]Zehong Cao, Chin-Teng Lin, Kuan-Lin Lai, Li-Wei Ko, Jung-Tai King, Kwong-Kum Liao, Jong-Ling Fuh, Shuu-Jiun Wang:
Extraction of SSVEPs-Based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients. IEEE Trans. Fuzzy Syst. 28(1): 14-27 (2020) - [j20]Gang Liu, Fuyuan Xiao, Chin-Teng Lin, Zehong Cao:
A Fuzzy Interval Time-Series Energy and Financial Forecasting Model Using Network-Based Multiple Time-Frequency Spaces and the Induced-Ordered Weighted Averaging Aggregation Operation. IEEE Trans. Fuzzy Syst. 28(11): 2677-2690 (2020) - [j19]Tanveer Hussain, Khan Muhammad, Amin Ullah, Zehong Cao, Sung Wook Baik, Victor Hugo C. de Albuquerque:
Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM. IEEE Trans. Ind. Informatics 16(1): 77-86 (2020) - [j18]Qingyong Wang, Yun Zhou, Weiping Ding, Zhiguo Zhang, Khan Muhammad, Zehong Cao:
Random Forest with Self-Paced Bootstrap Learning in Lung Cancer Prognosis. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 34:1-34:12 (2020) - [j17]Liming Fang, Changchun Yin, Juncen Zhu, Chunpeng Ge, Muhammad Tanveer, Alireza Jolfaei, Zehong Cao:
Privacy Protection for Medical Data Sharing in Smart Healthcare. ACM Trans. Multim. Comput. Commun. Appl. 16(3s): 100:1-100:18 (2020) - [c10]Jiali Weng, Fuyuan Xiao, Zehong Cao:
Uncertainty Modelling in Multi-agent Information Fusion Systems. AAMAS 2020: 1494-1502 - [c9]Zehong Cao, Kaichiu Wong, Quan Bai, Chin-Teng Lin:
Hierarchical and Non-Hierarchical Multi-Agent Interactions Based on Unity Reinforcement Learning. AAMAS 2020: 2095-2097 - [c8]Xiaotong Gu, Zehong Cao:
An EEG Majority Vote Based BCI Classification System for Discrimination of Hand Motor Attempts in Stroke Patients. ICONIP (5) 2020: 46-53 - [c7]Xianglin Zheng, Zehong Cao, Quan Bai:
An Evoked Potential-Guided Deep Learning Brain Representation for Visual Classification. ICONIP (5) 2020: 54-61 - [c6]Chin-Teng Lin, Kuan-Chih Huang, Nikhil R. Pal, Zehong Cao, Yu-Ting Liu, Chieh-Ning Fang, Tsung-Yu Hsieh, Yang-Yin Lin, Shang-Lin Wu:
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface. iFUZZY 2020: 1-8 - [i12]Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin:
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications. CoRR abs/2001.11337 (2020) - [i11]Yurui Ming, Weiping Ding, Zehong Cao, Chin-Teng Lin:
A General Approach for Using Deep Neural Network for Digital Watermarking. CoRR abs/2003.12428 (2020) - [i10]Xianglin Zheng, Zehong Cao, Quan Bai:
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification. CoRR abs/2006.15357 (2020) - [i9]Zehong Cao, Kaichiu Wong, Chin-Teng Lin:
Human Preference Scaling with Demonstrations For Deep Reinforcement Learning. CoRR abs/2007.12904 (2020) - [i8]Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Zehong Cao, Weiping Ding:
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network. CoRR abs/2008.09388 (2020) - [i7]Xinping Liu, Zehong Cao, Son N. Tran:
CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation. CoRR abs/2009.11485 (2020)
2010 – 2019
- 2019
- [j16]Qi Li, Jiang Zhong, Qing Li, Chen Wang, Zehong Cao:
A Community Merger of Optimization Algorithm to Extract Overlapping Communities in Networks. IEEE Access 7: 3994-4005 (2019) - [j15]Cuiping Cheng, Fuyuan Xiao, Zehong Cao:
A New Distance for Intuitionistic Fuzzy Sets Based on Similarity Matrix. IEEE Access 7: 70436-70446 (2019) - [j14]Zaoli Yang, Guanming Xiong, Zehong Cao, Yuchen Li, Lucheng Huang:
A Decision Method for Online Purchases Considering Dynamic Information Preference Based on Sentiment Orientation Classification and Discrete DIFWA Operators. IEEE Access 7: 77008-77026 (2019) - [j13]Liang-Yong Xia, Qing-Yong Wang, Zehong Cao, Yong Liang:
Descriptor Selection Improvements for Quantitative Structure-Activity Relationships. Int. J. Neural Syst. 29(9): 1950016:1-1950016:17 (2019) - [j12]Qi Li, Zehong Cao, Jiang Zhong, Qing Li:
Graph representation learning with encoding edges. Neurocomputing 361: 29-39 (2019) - [j11]Wenhong Ma, Lijun Cai, Tingqin He, Lei Chen, Zehong Cao, Renfa Li:
Local Expansion and Optimization for Higher-Order Graph Clustering. IEEE Internet Things J. 6(5): 8702-8713 (2019) - [j10]Shiming Chen, Yisong Wang, Chin-Teng Lin, Weiping Ding, Zehong Cao:
Semi-supervised feature learning for improving writer identification. Inf. Sci. 482: 156-170 (2019) - [j9]Zehong Cao, Chin-Teng Lin, Weiping Ding, Mu-Hong Chen, Cheng-Ta Li, Tung-Ping Su:
Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG. IEEE Trans. Biomed. Eng. 66(6): 1668-1679 (2019) - [j8]Weiping Ding, Chin-Teng Lin, Zehong Cao:
Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes. IEEE Trans. Cybern. 49(7): 2744-2757 (2019) - [j7]Weiping Ding, Chin-Teng Lin, Zehong Cao:
Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2013-2027 (2019) - [c5]Qi Li, Jiang Zhong, Qing Li, Zehong Cao, Chen Wang:
Enhancing Network Embedding with Implicit Clustering. DASFAA (1) 2019: 452-467 - [c4]Mira Park, Wenli Yang, Zehong Cao, Byeong Kang, Damian Connor, Mary-Anne Lea:
Marine Vertebrate Predator Detection and Recognition in Underwater Videos by Region Convolutional Neural Network. PKAW 2019: 66-80 - [c3]Zehong Cao, Yu-Cheng Chang, Mukesh Prasad, Muhammad Tanveer, Chin-Teng Lin:
Tensor Decomposition for EEG Signals Retrieval. SMC 2019: 2423-2427 - [i6]Zehong Cao, Chin-Teng Lin:
Hierarchical Critics Assignment for Multi-agent Reinforcement Learning. CoRR abs/1902.03079 (2019) - [i5]Chin-Teng Lin, Yu-Ting Liu, Chun-Hsiang Chuang, Nikhil R. Pal, Yang-Yin Lin, Tsung-Yu Hsieh, Chieh-Ning Fang, Zehong Cao:
An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG. CoRR abs/1906.02772 (2019) - [i4]Shiming Chen, Peng Zhang, Xinge You, Qinmu Peng, Xin Liu, Zehong Cao:
Similarity-DT: Kernel Similarity Embedding for Dynamic Texture Synthesis. CoRR abs/1911.04254 (2019) - 2018
- [j6]Tingqin He, Lijun Cai, Tao Meng, Lei Chen, Ziyun Deng, Zehong Cao:
Parallel Community Detection Based on Distance Dynamics for Large-Scale Network. IEEE Access 6: 42775-42789 (2018) - [j5]Tao Meng, Lijun Cai, Tingqin He, Lei Chen, Ziyun Deng, Weiping Ding, Zehong Cao:
A Modified Distance Dynamics Model for Improvement of Community Detection. IEEE Access 6: 63934-63947 (2018) - [j4]Ziyun Deng, Tingqin He, Weiping Ding, Zehong Cao:
A Multimodel Fusion Engine for Filtering Webpages. IEEE Access 6: 66062-66071 (2018) - [j3]Zehong Cao, Chin-Teng Lin:
Inherent Fuzzy Entropy for the Improvement of EEG Complexity Evaluation. IEEE Trans. Fuzzy Syst. 26(2): 1032-1035 (2018) - [j2]Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Zehong Cao, Jiandong Wang:
A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum-Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue. IEEE Trans. Fuzzy Syst. 26(3): 1177-1191 (2018) - [i3]Shiming Chen, Yisong Wang, Chin-Teng Lin, Zehong Cao:
Semi-Supervised Feature Learning for Off-Line Writer Identifications. CoRR abs/1807.05490 (2018) - [i2]Zehong Cao, Chin-Teng Lin, Kuan-Lin Lai, Li-Wei Ko, Jung-Tai King, Jong-Ling Fuh, Shuu-Jiun Wang:
Extraction of SSVEPs-based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients. CoRR abs/1809.06673 (2018) - [i1]Chun-Hsiang Chuang, Zehong Cao, Yu-Kai Wang, Po-Tsang Chen, Chih-Sheng Huang, Nikhil R. Pal, Chin-Teng Lin:
Dynamically Weighted Ensemble-based Prediction System for Adaptively Modeling Driver Reaction Time. CoRR abs/1809.06675 (2018) - 2017
- [b1]Zehong Cao:
Developing a migraine attack prediction system using resting-state EEG. University of Technology Sydney, Australia, 2017 - [j1]Chin-Teng Lin, Chun-Hsiang Chuang, Zehong Cao, Avinash Kumar Singh, Chih-Sheng Hung, Yi-Hsin Yu, Mauro Nascimben, Yu-Ting Liu, Jung-Tai King, Tung-Ping Su, Shuu-Jiun Wang:
Forehead EEG in Support of Future Feasible Personal Healthcare Solutions: Sleep Management, Headache Prevention, and Depression Treatment. IEEE Access 5: 10612-10621 (2017) - [c2]Zehong Cao, Mukesh Prasad, Chin-Teng Lin:
Estimation of SSVEP-based EEG complexity using inherent fuzzy entropy. FUZZ-IEEE 2017: 1-5 - 2015
- [c1]Zehong Cao, Li-Wei Ko, Kuan-Lin Lai, Song-Bo Huang, Shuu-Jiun Wang, Chin-Teng Lin:
Classification of migraine stages based on resting-state EEG power. IJCNN 2015: 1-5
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