2019

.

  • S.-H. Lee, M. Lee, and S.-W. Lee, “EEG Representations of Spatial and Temporal Features in Imagined Speech and Over Speech,” Proc. The 5th Asian Conference on Pattern Recognition, Auckland, New Zealand, Nov. 26-29, 2019. (Accepted)
  • B.-K. Min, K. M. Choi, H.-S. Kim, and M.-H. Ahn, “Enhanced Working-memory Performance by Cross-frequency Coupled Transcranial Alternative Current Stimulation,” Proc. The 26th Annual Meeting Cognitive Neuroscience Society (CNS 2019), San Francisco, USA, Oct. 19-23, 2019.
  • B.-K. Min, J.-W Kim, D. Pantazis, and H.-S. Kim, “Decoding Prestimulus EEG Alpha Activity Reveals Expectancy in the Direction of Stimulus Changes” Proc. The 49th Annual Meeting of Society for Neuroscience (Neuroscience 2019), Chicago, USA, Oct. 19-23, 2019.
  • S.-H. Lee, M. Lee, J.-H. Jeong, S.-W. Lee, “Towards an EEG-based Intuitive BCI Communication System Using Imagined Speech and Visual Imagery,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), Bari, Italy, Oct. 6-9, 2019.
  • M. Lee, B. Baird, O. Gosseries, J. O. Nieminen, M. Boly, G. Tononi, S.-W. Lee, “Causal Connectivity According to Conscious Experience in Non-Rapid Eye Movement Sleep,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), Bari, Italy, Oct. 6-9, 2019.
  • K.-H. Shim, J.-H. Jeong, B.-H. Kwon, B.-H. Lee, S.-W. Lee, “Assistive Robotic Arm Control based on Brain-Machine Interface with Vision Guidance using Convolution Neural Network,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), Bari, Italy, Oct. 6-9, 2019.
  • N. Robinson, S.-W. Lee, and C. Guan, “EEG Representation in Deep Convolutional Neural Networks for Classification of Motor Imagery,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), Bari, Italy, Oct. 6-9, 2019. 
  • J.-H. Cho, J.-H. Jeong, K.-H. Shim, and S.-W. Lee, “Classification of Various Grasping Tasks based on Temporal Segmentation Method Using EEG and EMG Signals,” Proc. of 8th Graz Brain-Computer Interface Conference, Graz, Austria, Sep. 16-20, 2019. 
  • M. Lee, B. Biard, O. Gosseries, J. O. Nieminen, M. Boly, G. Tononi, and S.-W. Lee, “Graph Theoretical Analysis of Cortical Networks based on Conscious Experience,” Proc. 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Berlin, Germany, July 23-27, 2019.
  • J.-H. Jeong, K.-H. Shim, D.-J. Kim, and S.-W. Lee, “Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System,” Proc. 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Berlin, Germany, July 23-27, 2019.
  • Y.-D. Yun, J.-H. Jeong, J.-H. Cho, D.-J. Kim, and S.-W. Lee, “Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control,” Proc. 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Berlin, Germany, July 23-27, 2019.
  • C.-H. Han and H.-J. Hwang, “Onset Detection of a Hybrid EEG-NIRS Brain-Computer Interface”, Proc. 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Berlin, Germany, July 23-27, 2019.
  • Y. Kim, S. Jang, K. Won, and S. C. Jun, “CANet: A Channel Attention Network to Determine Informative Multi-channel for Image Classification from Brain Signals,” Proc. 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Berlin, Germany, July 23-27, 2019.
  • J. H. Shin, J. H. Lee, S. Tong, S. W. Kim, and S. W. Lee, “Designing Model-Based and Model-Free Reinforcement Learning Tasks without Human Guidance,” Proc. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019), Montreal, Canada, July 7-10, 2019.
  • D. Kim and S. W. Lee, “Behavioral and neural evidence for intrinsic motivation effect on reinforcement learning,” Proc. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019), Montreal, Canada, July 7-10, 2019.
  • D. Kim and S. W. Lee, “Deciphering model-based and model-free reinforcement learning strategies and choices from EEG,” Proc. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019), Montreal, Canada, July 7-10, 2019.
  • H.-S. Kim, D. Pantazis, K. Kim, J. Kim, J.-E. Kim, H. Kwon, and B.-K. Min, “The Role of Thalamus in Conscious Experience using a Flicker Paradigm,” Proc. 23rd Annual Meeting of the ASSC (ASSC 2019), London Ontario, Canada, June 25-28, 2019.
  • H.-S. Kim, D. Pantazis, and B-K. Min, “Decoding EEG Signals Reveals Weak Auditory Neuronal Representations in Tinnitus,” Proc. Brain Twitter Conference, Mar. 14, 2019.
  • D. Kim, G. Y. Park, John P. O’Doherty, and S. W. Lee, “Evidence of Behavioral and Neural Interaction Between Task Complexity and State-space Uncertainty during Reinforcement Learning,” Proc. Computational and Systems Neuroscience (COSYNE), Lisbon, Portugal, Feb. 28-Mar. 3, 2019.
  • E. Jeon, W. Ko, and H.-I. Suk, “Domain Adaptation with Source Selection for Motor-Imagery based BCI,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
  • W. Ko, E. Jeon, and H.-I. Suk, “Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
  • B. Suh, I. Song, W. Jeon, Y. Cha, K. Che, S.-H. Lee, K. Lee, and J. An, “Cortical Regions Associated with Audio-Visual Integration: an fNIRS study,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
  • D. Kim and S. W. Lee, “Decoding Both Intention and Learning Strategies from EEG Signals” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
  • G.-Y. Choi, S.-I. Choi, R. Rahmawati, H.-T. Lee, Y.-S. Lee, S.-U. Kim, and H.-J. Hwang, “Biometrics Based on Single-Trial EEG,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
  • S.-P. Seo, M.-H. Lee, J. Williamson, and S.-W. Lee, “Changes in Fatigue and EEG Amplitude during a Longtime Use of Brain-Computer Interface,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
  • D.-K. Han, M.-H. Lee, J. Williamson, and S.-W. Lee, “The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
  • S. Hwang, K. Hong, G. Son, and H. Byun, “EZSL-GAN: EEG-based Zero-Shot Learning approach using a Generative Adversarial Network” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
  • Y. K. Park and W. Z. Chung, “Optimal channel selection using covariance matrix and cross-combining region in EEG-based BCI,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
  • S.-J. Bak, Y. Pyo, and J.-C. Jeong, “Protection of EEG Data using Blockchain Platform,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
  • J.-W. Park, S.-H. Dong, Y.-S. Hong, and J.-C. Jeong, “Quantification of Motion Artifacts in fNIRS Data by Monitoring Sensor Attachment,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
  • C-.B. Song, N.-S. Kwak, M. Lee, and S.-W. Lee, “The Effect of a Binaural Beat Combined with Autonomous Sensory Meridian Response Triggers on Brainwave Entrainment,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
  • S. K. Prabhakar, H. Rajaguru, and S.-W. Lee, “A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.

2018

.

  • S. Lee, S. Han, and S. C. Jun, “EEG Hyperscanning for Eight or More Persons – Feasibility Study for Emotion Recognition using Deep Learning Technique,” Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2018 (APSIPA ASC 2018), Hawaii, USA, Nov. 12-15, 2018.
  • S.-U. Kim, Y.-S. Lee, H.-T. Lee, and H.-J. Hwang, “Development of a Surface EMG Based Control System Using Finger Gestures,” Proc. 30th Conference of the Society for Medical Innovation and Technology-International Biomedical Engineering Conference (SMIT-IBEC 2018), Seoul, Korea, Nov. 8–10, 2018.
  • Rahmawati, S.-I. Choi, and H.-J. Hwang, “A Comparative Study of Reference Method for Ear-EEG,” Proc. 30th Conference of the Society for Medical Innovation and Technology-International Biomedical Engineering Conference (SMIT-IBEC 2018), Seoul, Korea, Nov. 8–10, 2018.
  • G.-Y. Choi and H.-J. Hwang, “Systematic Investigation of Biometric Authentication System Based on Resting-State Electroencephalography,” Proc. 30th Conference of the Society for Medical Innovation and Technology-International Biomedical Engineering Conference (SMIT-IBEC 2018), Seoul, Korea, Nov. 8–10, 2018.
  • J. Lee, J. Kim, M. Kwon, S. C. Jun, and M. Ahn, “Zero-Training based on Deep Learning and Big Data in P300 Brain-Computer Interface,” Proc. 30th Conference of the Society for Medical Innovation and Technology-International Biomedical Engineering Conference (SMIT-IBEC 2018), Seoul, Korea, Nov. 8–10, 2018.
  • Y. Kim, S. Cho, S. Jang, and S. C. Jun, “Are Visual Image Classification using Spatiotemporal Brain Signal Possible? – Preliminary Result,” Proc. 30th Conference of the Society for Medical Innovation and Technology-International Biomedical Engineering Conference (SMIT-IBEC 2018), Seoul, Korea, Nov. 8–10, 2018.
  • S. Cho, Y. Kim, and S. C. Jun, “Categorized Object Image Classification with Visual Event-Related Field – Feedback Network,” Proc. 30th Conference of the Society for Medical Innovation and Technology-International Biomedical Engineering Conference (SMIT-IBEC 2018), Seoul, Korea, Nov. 8–10, 2018.
  • M. Kwon, H. Cho, K. Won, M. Ahn, and S. C. Jun, “Correlation between Event-Related Desynchronization and Motor Imagery BCI Performance,” Proc. Society for Neuroscience (SfN), San Diego, Nov. 3-7, 2018. 
  • K. Won, M. Kwon, S. Jang, M. Ahn, and S. C. Jun, “Relationship between RSVP Task EEG Features and P300 Speller Performance” Proc. Society for Neuroscience (SfN), San Diego, Nov. 3-7, 2018. 
  • S. Hwang, K. Hong, and H. Byun, “Zero Shot Generative Adversarial Network for EEG based Classification,” Proc. Society for Neuroscience (SfN), San Diego, Nov. 3-7, 2018. 
  • S. Y. Heo, Y. H. Kim, Y. D. Sung, E. Kang, and S. W. Lee, “Impaired Reinforcement Learning Signal Representation in Depression,” Proc. Society for Neuroscience (SfN), San Diego, Nov. 3-7, 2018. 
  • S. H. Lee, S. H. Jin, G. Lee, and J. An, “Influence of Skillfulness on Cortical Excitability: An fNIRS Study,” Proc. The Society for functional Near Infrared Spectroscopy conference (fNIRS 2018), Tokyo, Japan, Oct. 5–8, 2018.
  • G. Lee, S. H. Lee, S. H. Jin, and J. An, “Cortical Brain Activation during Playing a Rhythm Game with and without Musical Stimuli,” Proc. The Society for functional Near Infrared Spectroscopy conference (fNIRS 2018), Tokyo, Japan, Oct. 5–8, 2018.
  • S. Dong and J. Jeong, “Intra-subject Invariant Classification Modeling for Spectral Features in EEG Signals Using Decision Fusion Method,” Proc. 4th International Conference on NeuroRehabilitation (ICNR2018), Pisa, Italy, Oct. 16-20, 2018.
  • C. H. Lee, S. Y. Heo, and S. W. Lee, “Deep Neural Experimenter: Hypothesis and Covariate Auto-Verification Paradigm,” Proc. 18th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics (NBNI2018), Jeju, Korea, Oct. 14-16, 2018.
  • S. Jin and S. W. Lee, “Evidence of Human Metacognitive Exploration during Reinforcement Learning,” Proc. 18th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics (NBNI2018), Jeju, Korea, Oct. 14-16, 2018.
  • K. Won, M. Kwon, S. Lee, S. Jang, J. Lee, M. Ahn, and S. C. Jun “Seeking RSVP Task Features Correlated with P300 Speller Performance,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018. 
  • M. Kwon, H. Cho, K. Won, M. Ahn, and S. C. Jun, “Event-Related Desynchronization (ERD) may not be Correlated with Motor Imagery BCI Performance,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018. 
  • S. Han, M. Kwon, and S. C. Jun, “Feasibility Study of EEG Super-Resolution Using Deep Convolutional Networks,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018. 
  • J. Park and S. W. Lee, “Solving the Memory-based Memoryless Trade-off Problem for EEG Signal Classification,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018. 
  • C. Lee and S. W. Lee, “Error Backpropagation with Attention Control to Learn Imbalanced Data for Regression,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018. 
  • D. Kim, G. Y. Park, and S. W. Lee, “Hierarchical Control Architecture Regulating Competition between Model-Based and Context-Dependent Model-Free Reinforcement Learning Strategies,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018. 
  • D. Kim and S. W. Lee, “Model-based BCI: A Novel Brain-Computer Interface Framework for Reading out Learning Strategies underlying Choices,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018. 
  • A. Tortay, J. H. Lee, C. H. Lee, and S. W. Lee, “Automated Knowledge Base Completion Using Collaborative Filtering and Deep Reinforcement Learning,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018. 
  • J. H. Lee, S. W. Lee, and J. Padget, “Using Social Reasoning Framework to Guide Normative Behaviour of Intelligent Virtual Agents,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018)), Miyazaki, Japan, Oct. 6-10, 2018. 
  • S. H. Jin, S. H. Lee, G. Lee, and J. An, “Development of Neurofeedback Gait Training System for Patients with Chronic Stroke,” Proc. The 12th ICME International Conference on IEEE, Complex Medical Engineering (CME 2018), Shimane, Japan, Sep. 6-8, 2018.
  • J. Choi, S. Han, K. Won, and S. C. Jun, “The Neurophysiological Effect of Acoustic Stimulation with Real-Time Sleep Spindle Detection,” Proc. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018), Hawaii, USA, July. 17-21, 2018.
  • C. Im, H. Seo, and S. C. Jun, “Stimulation Effect of Inter-Subject Variability in tDCS – Multi-Scale Modeling Study,” Proc. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018), Hawaii, USA, July. 17-21, 2018.
  • K. Won, M. Kwon, S. Lee, S. Jang, J. Lee, M. Ahn, and S. C. Jun, “ERP Variation may be Negatively Correlated with P300 Speller Performance,” Proc. The 2nd International Neuroergonomics Conference, Philadelphia, USA, Jun. 27-29, 2018.
  • S. H. Yi, J. H. Lee, C. H. Lee, J. Kim, S. J. An, and S. W. Lee, “A Competitive Path to Build Artificial Football Agents for AI Worldcup,” Proc. IEEE/IEIE Conference on Consumer Electronics (ICCE) Asia, Jeju, Korea, Jun. 24-26, 2018.
  • W. Ko, J. Yoon, and H.-I. Suk, “Towards Reducing Calibration in BCI: Artificial EEGs Generation by Deep Learning,” Proc. The 7th International BCI Meeting (BCI Meeting 2018), California, USA, May. 21-25, 2018. (Student award)
  • D. Kim and S. W. Lee, “Reading out Reinforcement Learning Strategies Underlying Trial-by-Trial Choice Behavior,” Proc. The 7th International BCI Meeting (BCI Meeting 2018), California, USA, May. 21-25, 2018.
  • M. Kwon, H. Cho, S. Lee, K. Won, J. Lee, M. Ahn, and S. C. Jun, “New Correlates of Motor Imagery BCI Performance – Eye-Open and Eye-Closed States,” Proc. The 7th International BCI Meeting (BCI Meeting 2018), California, USA, May. 21-25, 2018.
  • K. Won, M. Kwon, S. Lee, J. Lee, M. Ahn, and S. C. Jun, “Association between RSVP Task ERP and P300 Speller Performance,” Proc. The 7th International BCI Meeting (BCI Meeting 2018), California, USA, May. 21-25, 2018.
  • G.-Y. Choi, S.-I. Choi, H.-W. Kim, J.-H. Jang, and H.-J. Hwang, “Effect of Stimulation Frequency Band on SSVEP-based BCI,” Proc. The 7th International BCI Meeting (BCI Meeting 2018), California, USA, May. 21-25, 2018.
  • M. Lee, B. Baird, O. Gosseries, J. O. Nieminen, J.-H. Jeong, G. Tononi, and S.-W. Lee, “Classification of the Levels of Consciousness within Non-Rapid Eye Movement Sleep,” Proc. International Conference on Pattern Recognition and Artificial Intelligence 2018 (ICPRAI 2018), Montreal, Canada, May. 14-17, 2018.
  • S. Y. Heo and S. W. Lee, “Depressive Model-Based and Model-Free Reinforcement Learning,” Proc. Computational and Systems Neuroscience (COSYNE), Colorado, USA, Apr. 1-4, 2018.
  • D. Kim and S. W. Lee, “Dynamic Encoding of Reward and Latent Task Structures in Human Reinforcement Learning Neural Results: Arbitration Control Incorporating Baseline PE Distributions Two-Stage Markov Decision Task Model Comparison Model Predicts Subjects’ Choice Consistency,” Proc. Computational and Systems Neuroscience (COSYNE), Colorado, USA, Apr. 1-4, 2018. 
  • S. J. An and S. W. Lee, “Metacognitive Exploration in A Completely Unknown State Space,” Proc. Computational and Systems Neuroscience (COSYNE), Colorado, USA, Apr. 1-4, 2018.
  • S. H. Yi, J. H. Lee, and S. W. Lee, “Maximally Separating and Correlating Model-Based and Model-Free Reinforcement Learning Model-Based vs. Model-Free Reinforcement Learning (RL),” Proc. Computational and Systems Neuroscience (COSYNE), Colorado, USA, Apr. 1-4, 2018.
  • C. H. Lee, S. Y. Heo, and S. W. Lee, “Designing an Experiment without a Human Experimenter,” Proc. Computational and Systems Neuroscience (COSYNE), Colorado, USA, Apr. 1-4, 2018.
  • M. Lee, S.-K. Yeom, B. Baird, O. Gosseries, J. O. Nieminen, G. Tononi, and S.-W. Lee, “Spatio-Temporal Analysis of EEG Signal during Consciousness using Convolutional Neural Network,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
  • D. Kim, C. Weston, and S. W. Lee, “EEG-based Classification of Learning Strategies: Model-Based and Model-Free Reinforcement Learning,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
  • M. R. Song and S. W. Lee, “Meta BCI: Hippocampus-Striatum Network Inspired Architecture Towards Flexible BCI,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
  • D. Kim and S. W. Lee, “Context-Dependent Meta-Control for Reinforcement Learning using a Dirichlet Process Gaussian Mixture Model,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
  • W. Ko, J. Yoon, E. Kang, E. Jun, J.-S. Choi, and H.-I. Suk, “Deep Recurrent Spatio-Temporal Neural Network for Motor Imagery based BCI,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
  • Y. Park and Y. Chung, “BCI Classification using Locally generated CSP Features,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
  • Y. Park and Y. Chung, “Novel BCI Classification Method using Cross-Channel CSP Features,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
  • G.-Y. Choi, S.-I. Choi, and H.-J. Hwang, “Individual Identification based on Resting-State EEG,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan 15-17, 2018.
  • J. Shin, A. Luhmann, B. Blankertz, D.-W. Kim, J. Mehnert, J. Jeong, H.-J. Hwang, and K.-R. Muller, “Open Access Repository for Hybrid EEG-NIRS Data,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan 15-17, 2018.
  • T. Kang, Y. Chen, S. Fazli, and C. Wallraven, “Decoding of Human Memory Formation with EEG Signals using Convolutional Networks,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
  • G. Lee, S.H. Jin, S.T. Yang, B. Abibulaev, and J. An, “Cross-Correlation between HbO and HbR as An Effective Feature of Motion Artifact in fNIRS Signal,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
  • S.T. Yang, S.H. Jin, G. Lee, S.Y. Jeong, and J. An, “Dominant and Subdominant Hand Exhibit Different Cortical Activation Patterns during Tactile Stimulation: An fNIRS Study,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
  • S. Dong and J. Jeong, “Noise Reduction in fNIRS data Using Extended Kalman Filter Combined with Short Separation Measurement,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.

2017

.

  • T. Kang, Y. Chen, S. Fazli, and C. Wallraven, “Predicting What You Remember from Brain Activity: EEG-based Decoding of Long-term Memory Formation,” Proc. Symbiotic 2017, Eindhoven, Netherlands, Dec. 18-19, 2017.
  • D. Kim and S. W. Lee, “Dirichlet Process-based Arbitration Control of Reinforcement Learning,” Proc. 5th International Conference on Robot Intelligence Technology and Applications, Daejeon, Korea, Dec. 13-15, 2017.
  • J. Shin, K.-R. Muller, and H.-J. Hwang, “Hybrid EEG-NIRS Brain–Computer Interface Under Eyes-Closed Condition,” Proc. Asia-Pacific Signal and Information Processing Association (APSIPA) 2017, Kuala Lumpur, Malaysia, Dec. 12-15, 2017.
  • S.-K. Yeom, H.-J. Kim, K.-S. Seo, H. J. Kim, and S.-W. Lee, “EEG-Based Classification of Consciousness during Sedation using Global Spectra Principal Component,” Proc. 4th Asian Conference on Pattern Recognition, Nanjing, China, Nov. 26-29, 2017.
  • K.-T. Kim, K.-H. Park, and S.-W. Lee, “An Adaptive Convolutional Neural Network Framework for Multi-User Myoelectric Interfaces,” Proc. 4th Asian Conference on Pattern Recognition (ACPR), Nanjing, China, Nov. 26-29, 2017.
  • S.-M. Lee, J.-W. Kim, and S.-W. Lee, “Detecting Driver’s Braking Intention using Recurrent Convolutional Neural Network based on EEG Analysis,” Proc. 4th Asian Conference on Pattern Recognition (ACPR), Nanjing, China, Nov. 26-29, 2017.
  • G. Lee, S. H. Jin, S. H. Lee, J. An, and B. Abibullaev, “fNIRS Motion Artifact Correction for Overground Walking using Entropy Based Unbalanced Optode Decision and Wavelet Regression Neural Network,” Proc. IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Daegu, Korea Nov. 16-18, 2017.
  • M. Kwon, H. Cho, S. Ahn, K. Kim, and S. C. Jun, “Affective Auditory Stimuli using Simultaneous MEG and EEG – Source Localization Study,” Proc. Society for Neuroscience (SfN), Washington, DC. Nov. 11-15, 2017.
  • S. Lee, S. Han, and S. C. Jun, “Four-class Emotion Classification using One-dimensional Convolution Neural Networks – An EEG Study,” Proc. Society for Neuroscience (SfN), Washington, DC. Nov. 11-15, 2017.
  • S. J. An, J. Y. Kim, and S. W. Lee, “Metacognitive Reinforcement Learning,” Proc. 18th International Symposium on Advanced Intelligent Systems (ISIS) 2017, Daegu, Korea, Oct. 11-14, 2017.
  • J. Choi, S. Han, and S. C. Jun, “Subject-dependent Parameter Optimization for Automatic Spindle Detection Algorithm,” Proc. BACI Conference 2017, Bern, Switzerland, Sep. 02, 2017.
  • E.-J. Jun and H.-I. Suk, “Region-Wise Stochastic Pattern Modeling for Autism Spectrum Disorder Identification and Temporal Dynamics Analysis,” Proc. International Workshop on Connectomics in NeuroImaging (CNI) (in conjunction with MICCAI), Quebec, Canada, Sep. 14, 2017.
  • J. -S. Yoon and H.-I. Suk, “Gated Two-Stage Convolutional Neural Network for Ischemic Stroke Lesion Segmentation,” Proc. International Workshop on Ischemic Stroke Lesion Segmentation Challenge (ISLES) 2017 (in conjunction with MICCAI), Quebec, Canada, Sep. 14, 2017.
  • J. Honer, S. Nakajima, A. Bauer, K.-R. Muller, and N. Gornitz, “Minimizing Trust Leaks for Robust Sybil Detection,” Proc. 34th International Conference on Machine Learning (ICML), Sydney, Australia, Aug. 06-11, 2017.
  • G.-Y. Choi, S.-I. Choi, and H.-J. Hwang, “Finding EEG Frequency Bands Related to Concentration,” Proc. 1st Biannual Neuroadaptive Technology Conference, Berlin, Germany, July 19-21, 2017.
  • S.-I. Choi and H.-J. Hwang, “EEG-based Biometric Authentication: A Preliminary Study,” Proc. 1st Biannual Neuroadaptive Technology Conference, Berlin, Germany, July 19-21, 2017.
  • M. Lee, R. D. Sanders, S.-K. Yeom, D.-O. Won, H.-J. Kim, B.-R. Lee, K.-S. Seo, H. J. Kim, G. Tononi, and S.-W. Lee, “Change in Functional Networks for Transitions between States of Consciousness during Midazolam-induced Sedation,” Proc. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), Jeju, Korea, July 11-15, 2017.
  • H.-J. Hwang, “EMG-based Prosthesis Control for Upper Limb Amputation,” Proc. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), Jeju, Korea, July 11-15, 2017.
  • E.-J. Kim, W. N. Kang, K. Kim, S.-I. Choi, and H.-J. Hwang, “Individual Identification based on Electroencephalogram (EEG),” Proc. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), Jeju, Korea, July 11-15, 2017.
  • G.-Y. Choi, S.-I. Choi, and H.-J. Hwang, “Investigation of Frequency Bands Associated with Concentration,” Proc. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), Jeju, Korea, July 11-15, 2017.