Yang-Yin Lin - RankMe

28 papers A 2B 10C 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2020	—	`conf`	Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface. iFUZZY 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
2019	J	`jnl`	An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG. CoRR Chin-Teng Lin, Yu-Ting Liu, Chun-Hsiang Chuang, Nikhil R. Pal, Yang-Yin Lin, Tsung-Yu Hsieh, Chieh-Ning Fang, Zehong Cao
2018	J	`jnl`	Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets. IEEE Trans. Knowl. Data Eng. 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
2017	J	`jnl`	Fuzzy Integral With Particle Swarm Optimization for a Motor-Imagery-Based Brain-Computer Interface. IEEE Trans. Fuzzy Syst. Shang-Lin Wu, Yu-Ting Liu, Tsung-Yu Hsieh, Yang-Yin Lin, Chih-Yu Chen, Chun-Hsiang Chuang, Chin-Teng Lin
2016	B	`conf`	A motor imagery based brain-computer interface system via swarm-optimized fuzzy integral and its application. FUZZ-IEEE 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
2016	J	`jnl`	Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network. IEEE Trans. Neural Networks Learn. Syst. Yu-Ting Liu, Yang-Yin Lin, Shang-Lin Wu, Chun-Hsiang Chuang, Chin-Teng Lin
2016	B	`conf`	Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network. FUZZ-IEEE Yu-Ting Liu, Shang-Lin Wu, Kuang-Pen Chou, Yang-Yin Lin, Jie Lu, Guangquan Zhang, Wen-Chieh Lin, Chin-Teng Lin
2015	B	`conf`	A Novel Mechanism to Fuse Various Sub-Aspect Brain-Computer Interface (BCI) Systems with PSO for Motor Imagery Task. SMC Chin-Teng Lin, Tsung-Yu Hsieh, Yu-Ting Liu, Shang-Lin Wu, Yang-Yin Lin
2015	J	`jnl`	A new data-driven neural fuzzy system with collaborative fuzzy clustering mechanism. Neurocomputing Mukesh Prasad, Yang-Yin Lin, Chin-Teng Lin, Meng Joo Er, Om Kumar Prasad
2015	J	`jnl`	An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination. IEEE Trans. Neural Networks Learn. Syst. Chin-Teng Lin, Nikhil R. Pal, Shang-Lin Wu, Yu-Ting Liu, Yang-Yin Lin
2015	B	`conf`	Assessment of Mental Fatigue: An EEG-Based Forecasting System for Driving Safety. SMC Yu-Ting Liu, Yang-Yin Lin, Shang-Lin Wu, Tsung-Yu Hsieh, Chin-Teng Lin
2015	B	`conf`	Developing a novel multi-fusion brain-computer interface (BCI) system with particle swarm optimization for motor imagery task. FUZZ-IEEE Tsung-Yu Hsieh, Yang-Yin Lin, Yu-Ting Liu, Chieh-Ning Fang, Chin-Teng Lin
2014	J	`jnl`	A TSK-Type-Based Self-Evolving Compensatory Interval Type-2 Fuzzy Neural Network (TSCIT2FNN) and Its Applications. IEEE Trans. Ind. Electron. Yang-Yin Lin, Jyh-Yeong Chang, Chin-Teng Lin
2014	A	`conf`	A global optimized neuro-fuzzy system using artificial bee colony evolutionary algorithm. ICS Yu-Ting Liu, Yang-Yin Lin, Tsung-Yu Hsieh, Shang-Lin Wu, Chin-Teng Lin
2014	B	`conf`	A learning scheme to Fuzzy C-Means based on a compromise in updating membership degrees. FUZZ-IEEE Shang-Lin Wu, Yang-Yin Lin, Yu-Ting Liu, Chih-Yu Chen, Chin-Teng Lin
2014	B	`conf`	EEG-based driving fatigue prediction system using functional-link-based fuzzy neural network. IJCNN Yu-Ting Liu, Yang-Yin Lin, Shang-Lin Wu, Chun-Hsiang Chuang, Mukesh Prasad, Chin-Teng Lin
2014	J	`jnl`	Simplified Interval Type-2 Fuzzy Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Yang-Yin Lin, Shih-Hui Liao, Jyh-Yeong Chang, Chin-Teng Lin
2014	C	`conf`	Takagi-Sugeno-Kang type collaborative fuzzy rule based system. CIDM Kuang-Pen Chou, Mukesh Prasad, Yang-Yin Lin, Sudhanshu Joshi, Chin-Teng Lin, Jyh-Yeong Chang
2014	A	`conf`	Using a Novel LDA-Ensemble Framework to Classification of Motor Imagery Tasks for Brain-Computer Interface Applications. ICS Ching-Yu Chiu, Chih-Yu Chen, Yang-Yin Lin, Shi-An Chen, Chin-Teng Lin
2013	J	`jnl`	A Mutually Recurrent Interval Type-2 Neural Fuzzy System (MRIT2NFS) With Self-Evolving Structure and Parameters. IEEE Trans. Fuzzy Syst. Yang-Yin Lin, Jyh-Yeong Chang, Nikhil R. Pal, Chin-Teng Lin
2013	—	`conf`	An interval type-2 neural fuzzy inference system (IT2NFIS) with compensatory operator. IFSA/NAFIPS Yang-Yin Lin, Jyh-Yeong Chang, Chin-Teng Lin
2013	J	`jnl`	Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network. IEEE Trans. Neural Networks Learn. Syst. Yang-Yin Lin, Jyh-Yeong Chang, Chin-Teng Lin
2011	B	`conf`	A functional-link based interval type-2 compensatory fuzzy neural network for nonlinear system modeling. FUZZ-IEEE Jyh-Yeong Chang, Yang-Yin Lin, Ming-Feng Han, Chin-Teng Lin
2011	J	`jnl`	Dynamic system modeling using a recurrent interval-valued fuzzy neural network and its hardware implementation. Fuzzy Sets Syst. Chia-Feng Juang, Yang-Yin Lin, Ren-Bo Huang
2011	B	`conf`	Neuro-fuzzy system design using differential evolution with local information. FUZZ-IEEE Chin-Teng Lin, Ming-Feng Han, Yang-Yin Lin, Shih-Hui Liao, Jyh-Yeong Chang
2010	J	`jnl`	A recurrent self-evolving fuzzy neural network with local feedbacks and its application to dynamic system processing. Fuzzy Sets Syst. Chia-Feng Juang, Yang-Yin Lin, Chiu-Chuan Tu
2010	B	`conf`	An Internal/Interconnection Recurrent Type-2 Fuzzy Neural Network (IRT2FNN) for dynamic system identification. SMC Yang-Yin Lin, Jyh-Yeong Chang, Chin-Teng Lin
2009	J	`jnl`	A Recurrent Self-Evolving Interval Type-2 Fuzzy Neural Network for Dynamic System Processing. IEEE Trans. Fuzzy Syst. Chia-Feng Juang, Ren-Bo Huang, Yang-Yin Lin