Yang-Yin Lin

According to our database1, Yang-Yin Lin authored at least 28 papers between 2009 and 2020.

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Bibliography

2020
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface.
Proceedings of the 2020 International Conference on Fuzzy Theory and Its Applications, 2020

2019
An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG.
CoRR, 2019

2018
Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets.
IEEE Trans. Knowl. Data Eng., 2018

2017
Fuzzy Integral With Particle Swarm Optimization for a Motor-Imagery-Based Brain-Computer Interface.
IEEE Trans. Fuzzy Syst., 2017

2016
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2016

A motor imagery based brain-computer interface system via swarm-optimized fuzzy integral and its application.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination.
IEEE Trans. Neural Networks Learn. Syst., 2015

A new data-driven neural fuzzy system with collaborative fuzzy clustering mechanism.
Neurocomputing, 2015

Assessment of Mental Fatigue: An EEG-Based Forecasting System for Driving Safety.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

A Novel Mechanism to Fuse Various Sub-Aspect Brain-Computer Interface (BCI) Systems with PSO for Motor Imagery Task.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Developing a novel multi-fusion brain-computer interface (BCI) system with particle swarm optimization for motor imagery task.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
Simplified Interval Type-2 Fuzzy Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2014

A TSK-Type-Based Self-Evolving Compensatory Interval Type-2 Fuzzy Neural Network (TSCIT2FNN) and Its Applications.
IEEE Trans. Ind. Electron., 2014

A global optimized neuro-fuzzy system using artificial bee colony evolutionary algorithm.
Proceedings of the Intelligent Systems and Applications, 2014

Using a Novel LDA-Ensemble Framework to Classification of Motor Imagery Tasks for Brain-Computer Interface Applications.
Proceedings of the Intelligent Systems and Applications, 2014

EEG-based driving fatigue prediction system using functional-link-based fuzzy neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A learning scheme to Fuzzy C-Means based on a compromise in updating membership degrees.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Takagi-Sugeno-Kang type collaborative fuzzy rule based system.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013
Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2013

A Mutually Recurrent Interval Type-2 Neural Fuzzy System (MRIT2NFS) With Self-Evolving Structure and Parameters.
IEEE Trans. Fuzzy Syst., 2013

An interval type-2 neural fuzzy inference system (IT2NFIS) with compensatory operator.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2011
Dynamic system modeling using a recurrent interval-valued fuzzy neural network and its hardware implementation.
Fuzzy Sets Syst., 2011

Neuro-fuzzy system design using differential evolution with local information.
Proceedings of the FUZZ-IEEE 2011, 2011

A functional-link based interval type-2 compensatory fuzzy neural network for nonlinear system modeling.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
A recurrent self-evolving fuzzy neural network with local feedbacks and its application to dynamic system processing.
Fuzzy Sets Syst., 2010

An Internal/Interconnection Recurrent Type-2 Fuzzy Neural Network (IRT2FNN) for dynamic system identification.
Proceedings of the IEEE International Conference on Systems, 2010

2009
A Recurrent Self-Evolving Interval Type-2 Fuzzy Neural Network for Dynamic System Processing.
IEEE Trans. Fuzzy Syst., 2009


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