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Publication search results
found 56 matches
- 2024
- David A. Boas, Alexander von Lühmann, Meryem A. Yücel, Matthew Ning, Sudan Duwadi, Kamal Sen, Antonio Ortega-Martinez, Joe O'Brien, Laura Carlton, Bernhard Zimmermann:
Advances in Wearable High Density fNIRS and Utility for BCI. BCI 2024: 1-2 - Yong Jeon Cheong, Jihyun Bae, Seonkyoung Lee, Ro Ji Hyeong, Hirotaka Kosaka, Ilwoo Lyu, Minyoung Jung:
Prediction of autism spectrum disorder using epigenetic, brain, and sensory behavioral factors. BCI 2024: 1-4 - HyoSeon Choi, ChaeEun Woo, JiYun Kong, Byung Hyung Kim:
Multi-Output Regression for Integrated Prediction of Valence and Arousal in EEG-Based Emotion Recognition. BCI 2024: 1-6 - Pamela K. Douglas, Garrett Blair:
Towards a white matter ephaptic coupling model of 1/f spectra. BCI 2024: 1-3 - Dong-Kyun Han, Sung-Jin Kim, Heon-Gyu Kwak, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
EEG-Based Target Recognition for Multi-camera Surveillance Systems. BCI 2024: 1-5 - Wentao Huang, Xinyue Song, Dongyang Kuang:
A Hierarchical Diffusion-Convolutional Network with Node-wise Localization for EEG-NIRS-based Brain-Computer Interface. BCI 2024: 1-6 - Yerim Huh, Ray Kim, Ja Hyung Koo, Yun Kwan Kim, Kwang-No Lee, Minji Lee:
Automatic Sleep Stage Classification Based on Deep Learning for Multi-channel Signals. BCI 2024: 1-4 - Han-byul Jang, Seul-Kee Kim, Jihyeon Ha, Laehyun Kim:
Early Detection of Alzheimer's Disease through Analysis of EEG Responses to Word Recognition. BCI 2024: 1-4 - Sangmin Jo, Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk:
Enhancing EEG Domain Generalization via Weighted Contrastive Learning. BCI 2024: 1-4 - Ha-Na Jo, Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak:
Relationship Between Mood, Sleepiness, and EEG Functional Connectivity by 40 Hz Monaural Beats. BCI 2024: 1-4 - Koohong Jung, Wonzoo Chung:
Temporal Convolutional Network-based Multi-View Sleep Staging. BCI 2024: 1-7 - Jae-Eon Kang, Changha Lee, Jong-Hwan Lee:
Integrated Convolutional and Graph Attention Neural Networks for Electroencephalography. BCI 2024: 1-5 - Jun-Mo Kim, Soyeon Bak, Hyeonyeong Nam, WooHyeok Choi, Tae-Eui Kam:
Meta-Learning-based Cross-Dataset Motor Imagery Brain-Computer Interface. BCI 2024: 1-4 - Moogyeong Kim, Wonzoo Chung:
Convolutional Transformer-in-Transformer for Automatic Sleep Stage Classification. BCI 2024: 1-5 - Dong-Young Kim, Dong-Kyun Han, Seo-Hyeon Park, Geun-Deok Jang:
Improving Generalization of Drowsiness State Classification by Domain-Specific Normalization. BCI 2024: 1-5 - Jungye Kim, Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk:
Unveiling Diagnostic Potential: EEG Microstate Representation Model for Alzheimer's Disease and Frontotemporal Dementia. BCI 2024: 1-4 - Minju Kim, Donghyeok Jo, In-Nea Wang, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim:
Enhancing Everyday Seizure Detection: A Channel Reduction Approach. BCI 2024: 1-4 - Sung-Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han, Dae-Hyeok Lee, Ji-Hoon Jeong:
A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images. BCI 2024: 1-5 - Soowon Kim, Seo-Hyun Lee, Young-Eun Lee, Ji-Won Lee, Ji-Ha Park, Peter Kazanzides, Seong-Whan Lee:
Brain-Driven Representation Learning Based on Diffusion Model. BCI 2024: 1-4 - Yukyung Kim, Je-Hyeop Lee, Sangbin Yun, Jaewon Yang, Je-Choon Park, Jeongwook Kwon, Jee-Hye Seo, Byoung-Kyong Min:
Enhanced inhibitory control after out-of-phase theta tACS between the lDLPFC and dACC. BCI 2024: 1-4 - Jaehyun Kim, Sungu Nam, Sangjin Jang, Youngjo Song, Byunghyuk Choi, Jaeseung Jeong:
Decoding EEG Signals Both During and After Offset of Small and Short-Time Visual Target Stimulus. BCI 2024: 1-4 - Silvia Erika Kober:
Can a placebo increase learning rates? Evidence from neurofeedback studies. BCI 2024: 1-2 - Konrad P. Kording:
Neural decoding for BCI: the objectives, principles and the future. BCI 2024: 1-2 - Heon-Gyu Kwak, Sung-Jin Kim, Hyeon-Taek Han, Ji-Hoon Jeong:
Influence of Video Dynamics on EEG-based Single-Trial Video Target Surveillance System. BCI 2024: 1-5 - Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak, Ha-Na Jo:
Multi-Signal Reconstruction Using Masked Autoencoder From EEG During Polysomnography. BCI 2024: 1-4 - Byoung-Hee Kwon, Dong-Kyun Han, Hyung-Ju Ahn:
Exploring the Feasibility of Event-Related Potentials in Visual Surveillance Applications. BCI 2024: 1-5 - Dong Hyeok Lee, Chun Kee Chung:
Enhancing Neural Decoding with Large Language Models: A GPT-Based Approach. BCI 2024: 1-4 - Hyunmin Lee, Taehun Kim, Jinung An:
A Transformer Model with Spatiotemporal Input Embedding for fNIRS data-Driven Neural Decoding. BCI 2024: 1-4 - Byeong-Hoo Lee, Byoung-Hee Kwon, Dong-Kyun Han:
Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface. BCI 2024: 1-5 - Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim:
Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment. BCI 2024: 1-5
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