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Hyeran Byun | Sunhee Hwang | Pilhyeon Lee | Seogkyu Jeon | H. Byun | Sunhee Hwang | Pilhyeon Lee | Seogkyu Jeon
[1] Mohammad Soleymani,et al. A Survey on Neuromarketing Using EEG Signals , 2021, IEEE Transactions on Cognitive and Developmental Systems.
[2] Hyeran Byun,et al. Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization , 2021, ACM Multimedia.
[3] M. Zhuravlev,et al. Changes in EEG Alpha Activity during Attention Control in Patients: Association with Sleep Disorders , 2021, Journal of personalized medicine.
[4] Hyeran Byun,et al. Mitigating Inter-Subject Brain Signal Variability FOR EEG-Based Driver Fatigue State Classification , 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[5] Andrew D. Wilson,et al. Decoding Music Attention from “EEG Headphones”: A User-Friendly Auditory Brain-Computer Interface , 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[6] Fei Wang,et al. The MindGomoku: An Online P300 BCI Game Based on Bayesian Deep Learning , 2021, Sensors.
[7] Learning Subject-independent Representation for EEG-based Drowsy Driving Detection , 2021, 2021 9th International Winter Conference on Brain-Computer Interface (BCI).
[8] Jiahui Pan,et al. An EEG-Based Brain Computer Interface for Emotion Recognition and Its Application in Patients with Disorder of Consciousness , 2019, IEEE Transactions on Affective Computing.
[9] Seong-Whan Lee,et al. Neural Decoding of Imagined Speech and Visual Imagery as Intuitive Paradigms for BCI Communication , 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[10] Andrea Kübler,et al. Wheelchair Control in a Virtual Environment by Healthy Participants Using a P300-BCI Based on Tactile Stimulation: Training Effects and Usability , 2020, Frontiers in Human Neuroscience.
[11] Hyeran Byun,et al. Subject-Independent EEG-based Emotion Recognition using Adversarial Learning , 2020, 2020 8th International Winter Conference on Brain-Computer Interface (BCI).
[12] Heung-Il Suk,et al. VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation , 2020, 2020 8th International Winter Conference on Brain-Computer Interface (BCI).
[13] O. Osman,et al. Effect of brightness of visual stimuli on EEG signals , 2019, Behavioural Brain Research.
[14] Minkyu Ahn,et al. CNN With Large Data Achieves True Zero-Training in Online P300 Brain-Computer Interface , 2020, IEEE Access.
[15] Hyeran Byun,et al. Learning CNN features from DE features for EEG-based emotion recognition , 2019, Pattern Analysis and Applications.
[16] Dilip Singh Sisodia,et al. Alcohol use disorder detection using EEG Signal features and flexible analytical wavelet transform , 2019, Biomed. Signal Process. Control..
[17] Tomasz M. Rutkowski,et al. Brain Correlates of Task–Load and Dementia Elucidation with Tensor Machine Learning Using Oddball BCI Paradigm , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[18] Lina Yao,et al. A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis , 2019, IEEE Signal Processing Letters.
[19] Hyeran Byun,et al. EZSL-GAN: EEG-based Zero-Shot Learning approach using a Generative Adversarial Network , 2019, 2019 7th International Winter Conference on Brain-Computer Interface (BCI).
[20] Shuai Wang,et al. EEG Classification of Motor Imagery Using a Novel Deep Learning Framework , 2019, Sensors.
[21] Kebin Jia,et al. A Multi-View Deep Learning Framework for EEG Seizure Detection , 2019, IEEE Journal of Biomedical and Health Informatics.
[22] Rui Cao,et al. Epileptic Seizure Detection Based on EEG Signals and CNN , 2018, Front. Neuroinform..
[23] Yu Zhang,et al. EEG classification using sparse Bayesian extreme learning machine for brain–computer interface , 2018, Neural Computing and Applications.
[24] Sanchita Paul,et al. Detection of major depressive disorder using linear and non-linear features from EEG signals , 2018, Microsystem Technologies.
[25] Debi Prosad Dogra,et al. Envisioned speech recognition using EEG sensors , 2018, Personal and Ubiquitous Computing.
[26] Mubarak Shah,et al. Brain2Image: Converting Brain Signals into Images , 2017, ACM Multimedia.
[27] Wolfram Burgard,et al. Deep learning with convolutional neural networks for EEG decoding and visualization , 2017, Human brain mapping.
[28] S. Palazzo,et al. Deep Learning Human Mind for Automated Visual Classification , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Andrea Petracca,et al. Classification of Emotional Signals from the DEAP dataset , 2016, NEUROTECHNIX.
[30] Mengjie Zhang,et al. Domain Generalization for Object Recognition with Multi-task Autoencoders , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[31] Michael I. Jordan,et al. Learning Transferable Features with Deep Adaptation Networks , 2015, ICML.
[32] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[33] Pierre-Yves Oudeyer,et al. Calibration-Free BCI Based Control , 2014, AAAI.
[34] Guido Sanguinetti,et al. Single-trial classification of EEG in a visual object task using ICA and machine learning , 2014, Journal of Neuroscience Methods.
[35] Chunshui Yu,et al. Neural Pathways Conveying Novisual Information to the Visual Cortex , 2013, Neural plasticity.
[36] Rajesh Singla,et al. Virtual keyboard BCI using Eye blinks in EEG , 2010, 2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications.
[37] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[38] Vera Kaiser,et al. BCI Applications for People with Disabilities: Defining User Needs and User Requirements , 2009 .
[39] Boris Reuderink,et al. BrainBasher: a BCI Game , 2008 .
[40] N. Ramsey,et al. Towards human BCI applications based on cognitive brain systems: an investigation of neural signals recorded from the dorsolateral prefrontal cortex , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[41] Bernhard Schölkopf,et al. A Primer on Kernel Methods , 2004 .
[42] E Donchin,et al. Brain-computer interface technology: a review of the first international meeting. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[43] Seppo P. Ahlfors,et al. Parieto‐occipital ∼1 0Hz activity reflects anticipatory state of visual attention mechanisms , 1998 .
[44] S. Kosslyn,et al. Reactivity of magnetic parieto-occipital alpha rhythm during visual imagery. , 1995, Electroencephalography and clinical neurophysiology.