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2020 – today
- 2020
[c15]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
2010 – 2019
- 2019
- [i1]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) - 2018
- [j12]Chin-Teng Lin, Tsung-Yu Hsieh, Yu-Ting Liu, Yang-Yin Lin, Chieh-Ning Fang, Yu-Kai Wang, Gary G. Yen, Nikhil R. Pal, Chun-Hsiang Chuang:
Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets. IEEE Trans. Knowl. Data Eng. 30(5): 950-962 (2018) - 2017
- [j11]Shang-Lin Wu, Yu-Ting Liu, Tsung-Yu Hsieh, Yang-Yin Lin, Chih-Yu Chen, Chun-Hsiang Chuang, Chin-Teng Lin:
Fuzzy Integral With Particle Swarm Optimization for a Motor-Imagery-Based Brain-Computer Interface. IEEE Trans. Fuzzy Syst. 25(1): 21-28 (2017) - 2016
- [j10]Yu-Ting Liu, Yang-Yin Lin, Shang-Lin Wu, Chun-Hsiang Chuang, Chin-Teng Lin:
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network. IEEE Trans. Neural Networks Learn. Syst. 27(2): 347-360 (2016) - [c14]Yu-Ting Liu, Shang-Lin Wu, Kuang-Pen Chou, Yang-Yin Lin, Jie Lu, Guangquan Zhang, Wen-Chieh Lin, Chin-Teng Lin:
Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network. FUZZ-IEEE 2016: 2488-2494 - [c13]Shang-Lin Wu, Yu-Ting Liu, Kuang-Pen Chou, Yang-Yin Lin, Jie Lu, Guangquan Zhang, Chun-Hsiang Chuang, Wen-Chieh Lin, Chin-Teng Lin:
A motor imagery based brain-computer interface system via swarm-optimized fuzzy integral and its application. FUZZ-IEEE 2016: 2495-2500 - 2015
- [j9]Mukesh Prasad, Yang-Yin Lin, Chin-Teng Lin, Meng Joo Er, Om Kumar Prasad:
A new data-driven neural fuzzy system with collaborative fuzzy clustering mechanism. Neurocomputing 167: 558-568 (2015) - [j8]Chin-Teng Lin, Nikhil R. Pal, Shang-Lin Wu, Yu-Ting Liu, Yang-Yin Lin:
An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1442-1455 (2015) - [c12]Tsung-Yu Hsieh, Yang-Yin Lin, Yu-Ting Liu, Chieh-Ning Fang, Chin-Teng Lin:
Developing a novel multi-fusion brain-computer interface (BCI) system with particle swarm optimization for motor imagery task. FUZZ-IEEE 2015: 1-4 - [c11]Chin-Teng Lin, Tsung-Yu Hsieh, Yu-Ting Liu, Shang-Lin Wu, Yang-Yin Lin:
A Novel Mechanism to Fuse Various Sub-Aspect Brain-Computer Interface (BCI) Systems with PSO for Motor Imagery Task. SMC 2015: 3223-3228 - [c10]Yu-Ting Liu, Yang-Yin Lin, Shang-Lin Wu, Tsung-Yu Hsieh, Chin-Teng Lin:
Assessment of Mental Fatigue: An EEG-Based Forecasting System for Driving Safety. SMC 2015: 3233-3238 - 2014
- [j7]Yang-Yin Lin, Jyh-Yeong Chang, Chin-Teng Lin:
A TSK-Type-Based Self-Evolving Compensatory Interval Type-2 Fuzzy Neural Network (TSCIT2FNN) and Its Applications. IEEE Trans. Ind. Electron. 61(1): 447-459 (2014) - [j6]Yang-Yin Lin, Shih-Hui Liao, Jyh-Yeong Chang, Chin-Teng Lin:
Simplified Interval Type-2 Fuzzy Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 25(5): 959-969 (2014) - [c9]Kuang-Pen Chou, Mukesh Prasad, Yang-Yin Lin, Sudhanshu Joshi, Chin-Teng Lin, Jyh-Yeong Chang:
Takagi-Sugeno-Kang type collaborative fuzzy rule based system. CIDM 2014: 315-320 - [c8]Shang-Lin Wu, Yang-Yin Lin, Yu-Ting Liu, Chih-Yu Chen, Chin-Teng Lin:
A learning scheme to Fuzzy C-Means based on a compromise in updating membership degrees. FUZZ-IEEE 2014: 1534-1537 - [c7]Yu-Ting Liu, Yang-Yin Lin, Shang-Lin Wu, Chun-Hsiang Chuang, Mukesh Prasad, Chin-Teng Lin:
EEG-based driving fatigue prediction system using functional-link-based fuzzy neural network. IJCNN 2014: 4109-4113 - [c6]Yu-Ting Liu, Yang-Yin Lin, Tsung-Yu Hsieh, Shang-Lin Wu, Chin-Teng Lin:
A global optimized neuro-fuzzy system using artificial bee colony evolutionary algorithm. ICS 2014: 140-149 - [c5]Ching-Yu Chiu, Chih-Yu Chen, Yang-Yin Lin, Shi-An Chen, Chin-Teng Lin:
Using a Novel LDA-Ensemble Framework to Classification of Motor Imagery Tasks for Brain-Computer Interface Applications. ICS 2014: 150-156 - 2013
- [j5]Yang-Yin Lin, Jyh-Yeong Chang, Nikhil R. Pal, Chin-Teng Lin:
A Mutually Recurrent Interval Type-2 Neural Fuzzy System (MRIT2NFS) With Self-Evolving Structure and Parameters. IEEE Trans. Fuzzy Syst. 21(3): 492-509 (2013) - [j4]Yang-Yin Lin, Jyh-Yeong Chang, Chin-Teng Lin:
Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network. IEEE Trans. Neural Networks Learn. Syst. 24(2): 310-321 (2013) - [c4]Yang-Yin Lin, Jyh-Yeong Chang, Chin-Teng Lin:
An interval type-2 neural fuzzy inference system (IT2NFIS) with compensatory operator. IFSA/NAFIPS 2013: 884-889 - 2011
- [j3]Chia-Feng Juang, Yang-Yin Lin, Ren-Bo Huang:
Dynamic system modeling using a recurrent interval-valued fuzzy neural network and its hardware implementation. Fuzzy Sets Syst. 179(1): 83-99 (2011) - [c3]Jyh-Yeong Chang, Yang-Yin Lin, Ming-Feng Han, Chin-Teng Lin:
A functional-link based interval type-2 compensatory fuzzy neural network for nonlinear system modeling. FUZZ-IEEE 2011: 939-943 - [c2]Chin-Teng Lin, Ming-Feng Han, Yang-Yin Lin, Shih-Hui Liao, Jyh-Yeong Chang:
Neuro-fuzzy system design using differential evolution with local information. FUZZ-IEEE 2011: 1003-1006 - 2010
- [j2]Chia-Feng Juang, Yang-Yin Lin, Chiu-Chuan Tu:
A recurrent self-evolving fuzzy neural network with local feedbacks and its application to dynamic system processing. Fuzzy Sets Syst. 161(19): 2552-2568 (2010) - [c1]Yang-Yin Lin, Jyh-Yeong Chang, Chin-Teng Lin:
An Internal/Interconnection Recurrent Type-2 Fuzzy Neural Network (IRT2FNN) for dynamic system identification. SMC 2010: 733-737
2000 – 2009
- 2009
- [j1]Chia-Feng Juang, Ren-Bo Huang, Yang-Yin Lin:
A Recurrent Self-Evolving Interval Type-2 Fuzzy Neural Network for Dynamic System Processing. IEEE Trans. Fuzzy Syst. 17(5): 1092-1105 (2009)
Coauthor Index
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