Abstract is missing.
- Overcoming Continuous Distribution Shifts: Challenges in Online Machine LearningMasashi Sugiyama. 1-3 [doi]
- Channel-optimized Local Region Riemannian Approach for Motor Imagery ClassificationJinhyo Shin, Wonzoo Chung. 1-5 [doi]
- Improving Generalization of Drowsiness State Classification by Domain-Specific NormalizationDong Young Kim, Dong-Kyun Han, Seo-Hyeon Park, Geun-Deok Jang. 1-5 [doi]
- Multi-Signal Reconstruction Using Masked Autoencoder From EEG During PolysomnographyYoung-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak, Ha Na Jo. 1-4 [doi]
- Towards a white matter ephaptic coupling model of 1/f spectraPamela K. Douglas, Garrett Blair. 1-3 [doi]
- A Signal Acquisition Approach for Implantable Brain-Machine Interface SystemQingya Li, Zhiwei Zhang. 1-4 [doi]
- Convolutional Transformer-in-Transformer for Automatic Sleep Stage ClassificationMoogyeong Kim, Wonzoo Chung. 1-5 [doi]
- Prediction of Motor-Imagery-BCI performance using Median Nerve StimulationSébastien Rimbert, Valérie Marissens Cueva, Laurent Bougrain, Fabien Lotte. 1-6 [doi]
- Modulation of Alpha Band Brain Connectivity during Motor Imagery via Bimanual Motor TrainingChatrin Phunruangsakao, Jamiyanpurev Budsuren, Mitsuhiro Hayashibe. 1-6 [doi]
- Enhancing EEG Domain Generalization via Weighted Contrastive LearningSangmin Jo, Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk. 1-4 [doi]
- Early Detection of Alzheimer's Disease through Analysis of EEG Responses to Word RecognitionHan-byul Jang, Seul-Kee Kim, Jihyeon Ha, Laehyun Kim. 1-4 [doi]
- Deep Learning made transferable: studying Brain decodingKlaus-Robert Müller. 1-2 [doi]
- Advances in Wearable High Density fNIRS and Utility for BCIDavid A. Boas, Alexander von Lühmann, Meryem A. Yücel, Matthew Ning, Sudan Duwadi, Kamal Sen, Antonio Ortega-Martinez, Joe O'Brien, Laura Carlton, Bernhard Zimmermann. 1-2 [doi]
- A Hierarchical Diffusion-Convolutional Network with Node-wise Localization for EEG-NIRS-based Brain-Computer InterfaceWentao Huang, Xinyue Song, Dongyang Kuang. 1-6 [doi]
- A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite ImagesSung Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han, Dae-Hyeok Lee, Ji-Hoon Jeong. 1-5 [doi]
- Enhanced inhibitory control after out-of-phase theta tACS between the lDLPFC and dACCYukyung Kim, Je-Hyeop Lee, Sangbin Yun, Jaewon Yang, Je-Choon Park, Jeongwook Kwon, Jee-Hye Seo, Byoung-Kyong Min. 1-4 [doi]
- Decoding Human Prediction Errors for Human-Robot Value AlignmentXin Xu, Sang Wan Lee. 1-5 [doi]
- Meta-Learning-based Cross-Dataset Motor Imagery Brain-Computer InterfaceJun-Mo Kim, Soyeon Bak, Hyeonyeong Nam, Woohyeok Choi, Tae-Eui Kam. 1-4 [doi]
- Prediction of autism spectrum disorder using epigenetic, brain, and sensory behavioral factorsYong Jeon Cheong, Jihyun Bae, Seonkyoung Lee, Ro Ji Hyeong, Hirotaka Kosaka, Ilwoo Lyu, Minyoung Jung. 1-4 [doi]
- Automatic Sleep Stage Classification Based on Deep Learning for Multi-channel SignalsYerim Huh, Ray Kim, Ja Hyung Koo, Yun-Kwan Kim, Kwang No Lee, Minji Lee. 1-4 [doi]
- Unveiling Diagnostic Potential: EEG Microstate Representation Model for Alzheimer's Disease and Frontotemporal DementiaJungye Kim, Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk. 1-4 [doi]
- A Transformer Model with Spatiotemporal Input Embedding for fNIRS data-Driven Neural DecodingHyunmin Lee, Taehun Kim, Jinung An. 1-4 [doi]
- Impact of Nap on Performance in Different Working Memory Tasks Using EEGGi-Hwan Shin, Young-Seok Kweon, Heon-Gyu Kwak, Ha Na Jo. 1-5 [doi]
- The Impact of Mini-batch Design on EEG Classification in Anomaly Detection for Video SurveillanceSungu Nam, Sang Jin Jang, Youngjo Song, Byunghyuk Choi, Jaehyun Kim, Jaeseung Jeong. 1-6 [doi]
- Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight EnvironmentDae-Hyeok Lee, Sung Jin Kim, Si-Hyun Kim. 1-5 [doi]
- Multi-Output Regression for Integrated Prediction of Valence and Arousal in EEG-Based Emotion RecognitionHyoseon Choi, ChaeEun Woo, JiYun Kong, Byung Hyung Kim. 1-6 [doi]
- Deciphering EEG Waves for the Generation of ImagesGaurav Mahajan, Jeevan R, Divija L, P. Deekshitha Kumari, Surabhi Narayan. 1-6 [doi]
- Exploring the Feasibility of Event-Related Potentials in Visual Surveillance ApplicationsByoung-Hee Kwon, Dong-Kyun Han, Hyung-Ju Ahn. 1-5 [doi]
- Brain Criticality and its Relation to BCI OperationTomko Settgast, Andrea Kübler. 1-4 [doi]
- Object Detection in Surveillance Video using EEG with Domain Adaptation ApproachMin-Hu Yun, Hyeonjin Jang, Sangtae Ahn, Hyun-Chul Kim. 1-4 [doi]
- Revolutionizing Intrusive Neural Interfaces: Vascular Stent-Based Neural ElectrodesLiang Shen, Bo Wen, Zihua Chen, Minjie Wang, Linlin Han, Bo Shen, Kai Cao, Lihua Zhang, Jianjun Wu, Xiaoyang Kang 0001. 1-6 [doi]
- Influence of Video Dynamics on EEG-based Single-Trial Video Target Surveillance SystemHeon-Gyu Kwak, Sung Jin Kim, Hyeon-Taek Han, Ji-Hoon Jeong. 1-5 [doi]
- Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG SignalsYoung Eun Lee, Seo-Hyun Lee, Soowon Kim, Jung-Sun Lee, Deok-Seon Kim. 1-4 [doi]
- Brain-Driven Representation Learning Based on Diffusion ModelSoowon Kim, Seo-Hyun Lee, Young Eun Lee, Ji Won Lee, Ji-Ha Park, Peter Kazanzides, Seong-Whan Lee. 1-4 [doi]
- Enhancing Everyday Seizure Detection: A Channel Reduction ApproachMinju Kim, Donghyeok Jo, In-Nea Wang, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim. 1-4 [doi]
- Can a placebo increase learning rates? Evidence from neurofeedback studiesSilvia Erika Kober. 1-2 [doi]
- Binaural Beats Modulated Affected Emotions: Evidence From Simultaneous Electroencephalography-Functional MRI StudyChangha Lee, Jae-Eon Kang, Jong-Hwan Lee. 1-5 [doi]
- Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative TrainingGeorgios Zoumpourlis, Ioannis Patras. 1-8 [doi]
- Unraveling Sensory Restoration: Decoding Complex Behavioral Data through Peripheral Nerve Stimulation AnalysisNikita Piliugin, Gurgen Soghoyan, Artur Biktimirov, Yury Matvienko, Ilya Chekh, Mikhail Sintsov, Mikhail A. Lebedev, Alexander Kaplan. 1-4 [doi]
- Towards Motor Imagery Classification of Finger Tapping by Both Hands for Controlling a Finger-Arm Bionic RobotSeong-Hyun Yu, Young-Min Go, Hyeong-Yeong Park, Seo Jin Lee, Minji Lee, Ji-Hoon Jeong. 1-4 [doi]
- Comparing cardiac artifact removal algorithms for endovascular brain-computer interface recordingsSuleman Rasheed, James D. Bennett, Peter E. Yoo, Nicholas L. Opie, Anthony N. Burkitt, David B. Grayden. 1-6 [doi]
- Calibration-free online test-time adaptation for electroencephalography motor imagery decodingMartin Wimpff, Mario Döbler, Bin Yang 0009. 1-6 [doi]
- Parameterized Cortical Power Spectra as a Novel Neural Feature for Real Time BCIPayam S. Shabestari, Tobias Kleinjung, Fabian Schmidt, Patrick Neff. 1-5 [doi]
- Relationship Between Mood, Sleepiness, and EEG Functional Connectivity by 40 Hz Monaural BeatsHa Na Jo, Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak. 1-4 [doi]
- Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and ExecutionHye-Bin Shin, Kang Yin, Seong-Whan Lee. 1-4 [doi]
- Neural decoding for BCI: the objectives, principles and the futureKonrad P. Kording. 1-2 [doi]
- Temporal Convolutional Network-based Multi-View Sleep StagingKoohong Jung, Wonzoo Chung. 1-7 [doi]
- EEG-Based Target Recognition for Multi-camera Surveillance SystemsDong-Kyun Han, Sung Jin Kim, Heon-Gyu Kwak, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee. 1-5 [doi]
- Decoding EEG Signals Both During and After Offset of Small and Short-Time Visual Target StimulusJaehyun Kim, Sungu Nam, Sangjin Jang, Youngjo Song, Byunghyuk Choi, Jaeseung Jeong. 1-4 [doi]
- Enhancing Neural Decoding with Large Language Models: A GPT-Based ApproachDong Hyeok Lee, Chun Kee Chung. 1-4 [doi]
- Neural Speech Embeddings for Speech Synthesis Based on Deep Generative NetworksSeo-Hyun Lee, Young Eun Lee, Soowon Kim, Byung-Kwan Ko, Jun-Young Kim. 1-4 [doi]
- Pioneering EEG Motor Imagery Classification Through Counterfactual AnalysisKang Yin, Hye-Bin Shin, Hee-Dong Kim. 1-4 [doi]
- Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer InterfaceByeong-Hoo Lee, Byoung-Hee Kwon, Dong-Kyun Han. 1-5 [doi]
- Real-Time BCI System for Target DetectionEunji Won, Seongyeon Lim, Yeomin Kim, Suh-Yeon Dong. 1-4 [doi]
- Integrated Convolutional and Graph Attention Neural Networks for ElectroencephalographyJae-Eon Kang, Changha Lee, Jong-Hwan Lee. 1-5 [doi]