暂无分享,去创建一个
Chun-Hsiang Chuang | Chin-Teng Lin | Nikhil R. Pal | Yang-Yin Lin | Zehong Cao | Yu-Ting Liu | Tsung-Yu Hsieh | Chieh-Ning Fang | Chin-Teng Lin | N. Pal | Chun-Hsiang Chuang | Zehong Cao | Yang-Yin Lin | Chieh-Ning Fang | Yu-Ting Liu | Tsung-Yu Hsieh
[1] Tonio Ball,et al. EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals , 2018, ArXiv.
[2] Samuel Kaski,et al. The Adaptive-Subspace Self-Organizing Map (ASSOM) , 1997 .
[3] Andrea Petracca,et al. A Classification Algorithm for Electroencephalography Signals by Self-Induced Emotional Stimuli , 2016, IEEE Transactions on Cybernetics.
[4] Xingyu Wang,et al. Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI , 2019, IEEE Transactions on Cybernetics.
[5] Jesús Alcalá-Fdez,et al. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework , 2011, J. Multiple Valued Log. Soft Comput..
[6] Fernando Nogueira,et al. Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning , 2016, J. Mach. Learn. Res..
[7] Yu Ding,et al. Absent data generating classifier for imbalanced class sizes , 2015, J. Mach. Learn. Res..
[8] See-Kiong Ng,et al. Integrated Oversampling for Imbalanced Time Series Classification , 2013, IEEE Transactions on Knowledge and Data Engineering.
[9] Chin-Teng Lin,et al. Resting-state EEG power and coherence vary between migraine phases , 2016, The Journal of Headache and Pain.
[10] Yi Liu,et al. Soft SVM and Its Application in Video-Object Extraction , 2007, IEEE Transactions on Signal Processing.
[11] Cuntai Guan,et al. Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).
[12] Paulo J. G. Lisboa,et al. Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination , 2009, IEEE Transactions on Neural Networks.
[13] Cuntai Guan,et al. Wavlet phase-locking based binary classification of hand movement directions from EEG , 2018, Journal of neural engineering.
[14] Chin-Teng Lin,et al. Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG , 2018, IEEE Transactions on Biomedical Engineering.
[15] Cuntai Guan,et al. A Novel Method of Emergency Situation Detection for a Brain-Controlled Vehicle by Combining EEG Signals With Surrounding Information , 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[16] Elvan Ceyhan,et al. Classification of Imbalanced Data with a Geometric Digraph Family , 2019, J. Mach. Learn. Res..
[17] Chun-Hsiang Chuang,et al. Exploring resting-state EEG complexity before migraine attacks , 2018, Cephalalgia : an international journal of headache.
[18] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[19] Yijun Wang,et al. Common Spatial Pattern Method for Channel Selelction in Motor Imagery Based Brain-computer Interface , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[20] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[21] Anil K. Jain,et al. Artificial Neural Networks: A Tutorial , 1996, Computer.
[22] MengChu Zhou,et al. A Noise-Filtered Under-Sampling Scheme for Imbalanced Classification , 2017, IEEE Transactions on Cybernetics.
[23] Vasile Palade,et al. FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning , 2010, IEEE Transactions on Fuzzy Systems.
[24] Chin-Teng Lin,et al. Dynamically Weighted Ensemble-based Prediction System for Adaptively Modeling Driver Reaction Time , 2018, ArXiv.
[25] Marzuki Khalid,et al. Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[26] Ping Xue,et al. Sub-band Common Spatial Pattern (SBCSP) for Brain-Computer Interface , 2007, 2007 3rd International IEEE/EMBS Conference on Neural Engineering.
[27] Bin He,et al. Three-Dimensional Brain–Computer Interface Control Through Simultaneous Overt Spatial Attentional and Motor Imagery Tasks , 2018, IEEE Transactions on Biomedical Engineering.
[28] Thorsten Joachims,et al. A support vector method for multivariate performance measures , 2005, ICML.
[29] Paulo J. G. Lisboa,et al. A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer , 2003, Artif. Intell. Medicine.
[30] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[31] Xin Yao,et al. MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning , 2014 .
[32] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[33] Kay Chen Tan,et al. Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning , 2017, IEEE Transactions on Cybernetics.
[34] Chin-Teng Lin,et al. Multi-channel EEG recordings during a sustained-attention driving task , 2018, Scientific Data.
[35] Haibo He,et al. ADASYN: Adaptive synthetic sampling approach for imbalanced learning , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).
[36] Chin-Teng Lin,et al. A Novel 16-Channel Wireless System for Electroencephalography Measurements With Dry Spring-Loaded Sensors , 2014, IEEE Transactions on Instrumentation and Measurement.
[37] Yue-Shi Lee,et al. Cluster-based under-sampling approaches for imbalanced data distributions , 2009, Expert Syst. Appl..
[38] Teuvo Kohonen,et al. Emergence of invariant-feature detectors in the adaptive-subspace self-organizing map , 1996, Biological Cybernetics.
[39] Zhi-Hua Zhou,et al. Ieee Transactions on Knowledge and Data Engineering 1 Training Cost-sensitive Neural Networks with Methods Addressing the Class Imbalance Problem , 2022 .
[40] Chun-Hsiang Chuang,et al. Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets , 2018, IEEE Transactions on Knowledge and Data Engineering.
[41] Nitesh V. Chawla,et al. SMOTEBoost: Improving Prediction of the Minority Class in Boosting , 2003, PKDD.
[42] Seetha Hari,et al. Learning From Imbalanced Data , 2019, Advances in Computer and Electrical Engineering.
[43] Chun-Hsiang Chuang,et al. Forehead EEG in Support of Future Feasible Personal Healthcare Solutions: Sleep Management, Headache Prevention, and Depression Treatment , 2017, IEEE Access.
[44] Hui Han,et al. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning , 2005, ICIC.
[45] Kocsis Zoltán Tamás,et al. IEEE World Congress on Computational Intelligence , 2019, IEEE Computational Intelligence Magazine.
[46] Shang-Lin Wu,et al. Adaptive subspace sampling for class imbalance processing , 2016, 2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy).