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Ji-Hoon Jeong
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2020 – today
- 2024
- [j11]Junmo Kim
, Keun-Soo Heo
A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio-spectral-temporal EEG signal decoding. Expert Syst. Appl. 251: 123975 (2024) - [j10]Ji-Hoon Jeong
DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework. IEEE J. Biomed. Health Informatics 28(4): 2282-2293 (2024) - [j9]Deok-Joong Lee
Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis. IEEE J. Biomed. Health Informatics 28(5): 2967-2978 (2024) - [c46]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 - [c45]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 - [c44]Seong-Hyun Yu, Young-Min Go, Hyeong-Yeong Park, Seo-Jin Lee, Minji Lee, Ji-Hoon Jeong:
Towards Motor Imagery Classification of Finger Tapping by Both Hands for Controlling a Finger-Arm Bionic Robot. BCI 2024: 1-4 - [c43]Kyungchang Jeong, Eunyoung Ko, Hongseok Oh, Gyuchan Cho, Hanbit Seo, Jungseok Choi, Ji-Hoon Jeong, Euijong Lee
Method to Predict and Explain Taste Preference using Pork Characteristics and Consumer Information. ICCE 2024: 1-6 - [c42]Kyungchang Jeong, Dong-Ro Kim, Jae-Hyen Ryu, Hyun-Woo Kim, Jinho Cho, Euijong Lee
A Monitoring System for Cattle Behavior Detection using YOLO-v8 in IoT Environments. ICCE 2024: 1-4 - [c41]Hongseok Oh
LINK: Self-Adaptive System with Human-Machine Teaming-based Loop for Interoperability in IoT Environments. SAC 2024: 592-599 - [i25]Young-Min Go, Seong-Hyun Yu, Hyeong-Yeong Park, Minji Lee, Ji-Hoon Jeong:
FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network. CoRR abs/2403.03526 (2024) - [i24]In-Gyu Lee, Jun-Young Oh, Hee-Jung Yu, Jae-Hwan Kim, Ki-Dong Eom, Ji-Hoon Jeong:
Generative Active Learning with Variational Autoencoder for Radiology Data Generation in Veterinary Medicine. CoRR abs/2403.03642 (2024) - [i23]Jun-Young Oh, In-Gyu Lee, Tae-Eui Kam, Ji-Hoon Jeong:
Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine. CoRR abs/2403.06471 (2024) - 2023
- [j8]Ji-Hoon Jeong
Real-Time Deep Neurolinguistic Learning Enhances Noninvasive Neural Language Decoding for Brain-Machine Interaction. IEEE Trans. Cybern. 53(12): 7469-7482 (2023) - [j7]Dae-Hyeok Lee
Autonomous System for EEG-Based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6426-6437 (2023) - [c40]Jun-Young Oh, In-Gyu Lee, Hyun-Ho Chang, Euijong Lee
Application of A Dual-Stage Deep Learning Framework to Detect Left Atrial Enlargement for Pet Heart Failure. SMC 2023: 2972-2978 - [i22]Ji-Hoon Jeong, In-Gyu Lee, Sung-Kyung Kim, Tae-Eui Kam, Seong-Whan Lee, Euijong Lee:
DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework. CoRR abs/2308.14657 (2023) - [i21]Euijong Lee, Jaemin Jung, Gee-Myung Moon, Seong-Whan Lee, Ji-Hoon Jeong:
WUDI: A Human Involved Self-Adaptive Framework to Prevent Childhood Obesity in Internet of Things Environment. CoRR abs/2308.15944 (2023) - [i20]Heon-Gyu Kwak, Sung-Jin Kim, Hyeon-Taek Han, Ji-Hoon Jeong, Seong-Whan Lee:
Influence of Video Dynamics on EEG-based Single-Trial Video Target Surveillance Syste. CoRR abs/2311.08631 (2023) - [i19]Sung-Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee:
A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images. CoRR abs/2312.09446 (2023) - 2022
- [j6]Jeong-Hyun Cho
NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework. IEEE Trans. Cybern. 52(12): 13279-13292 (2022) - [c39]Dong-Kyun Han, Serkan Musellim, Dong-Young Kim, Ji-Hoon Jeong:
Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface. BCI 2022: 1-4 - [c38]Byoung-Hee Kwon, Byeong-Hoo Lee, Jeong-Hyun Cho, Ji-Hoon Jeong:
Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method. BCI 2022: 1-5 - [c37]Serkan Musellim, Dong-Kyun Han, Ji-Hoon Jeong, Seong-Whan Lee:
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces. EMBC 2022: 711-714 - [c36]Dong-Young Kim, Dong-Kyun Han, Ji-Hoon Jeong, Seong-Whan Lee:
EEG-based Driver Drowsiness Classification via Calibration-Free Framework with Domain Generalization. SMC 2022: 2293-2298 - [i18]Serkan Musellim, Dong-Kyun Han, Ji-Hoon Jeong, Seong-Whan Lee:
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces. CoRR abs/2204.07358 (2022) - 2021
- [j5]Kiduk Kim
Development of a Human-Display Interface with Vibrotactile Feedback for Real-World Assistive Applications. Sensors 21(2): 592 (2021) - [c35]Ji-Seon Bang, Ji-Hoon Jeong, Dong-Ok Won:
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks. BCI 2021: 1-6 - [c34]Jeong-Hyun Cho, Ji-Hoon Jeong, Myoung-Ki Kim, Seong-Whan Lee:
Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch. BCI 2021: 1-5 - [c33]Dong-Kyun Han, Ji-Hoon Jeong:
Domain Generalization for Session-Independent Brain-Computer Interface. BCI 2021: 1-5 - [c32]Myoung-Ki Kim, Jeong-Hyun Cho, Ji-Hoon Jeong:
Classification of Tactile Perception and Attention on Natural Textures from EEG Signals. BCI 2021: 1-5 - [c31]Sang-Joon Kim, Byoung-Hee Kwon, Ji-Hoon Jeong:
Intuitive Visual Imagery Decoding for Drone Swarm Formation Control from EEG Signals. BCI 2021: 1-6 - [c30]Byoung-Hee Kwon, Byeong-Hoo Lee, Ji-Hoon Jeong:
Motor Imagery Classification Emphasizing Corresponding Frequency Domain Method based on Deep Learning Framework. BCI 2021: 1-4 - [c29]Dae-Hyeok Lee, Ji-Hoon Jeong, Hyung-Ju Ahn, Seong-Whan Lee:
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. BCI 2021: 1-5 - [c28]Byeong-Hoo Lee, Byoung-Hee Kwon, Do-Yeun Lee, Ji-Hoon Jeong:
Speech Imagery Classification using Length-Wise Training based on Deep Learning. BCI 2021: 1-5 - [c27]Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim, Ji-Hoon Jeong, Seong-Whan Lee:
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. SMC 2021: 3396-3401 - [i17]Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim, Ji-Hoon Jeong, Seong-Whan Lee:
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. CoRR abs/2106.04026 (2021) - [i16]Hyung-Ju Ahn, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee:
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks. CoRR abs/2107.07335 (2021) - 2020
- [j4]Ji-Hoon Jeong
EEG Classification of Forearm Movement Imagery Using a Hierarchical Flow Convolutional Neural Network. IEEE Access 8: 66941-66950 (2020) - [j3]Dae-Hyeok Lee
Continuous EEG Decoding of Pilots' Mental States Using Multiple Feature Block-Based Convolutional Neural Network. IEEE Access 8: 121929-121941 (2020) - [j2]Byeong-Hoo Lee
SessionNet: Feature Similarity-Based Weighted Ensemble Learning for Motor Imagery Classification. IEEE Access 8: 134524-134535 (2020) - [c26]Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee:
A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals. BCI 2020: 1-4 - [c25]Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn
Towards Brain-Computer Interfaces for Drone Swarm Control. BCI 2020: 1-4 - [c24]Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim:
A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform. BCI 2020: 1-5 - [c23]Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Classification of Upper Limb Movements Using Convolutional Neural Network with 3D Inception Block. BCI 2020: 1-5 - [c22]Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining. BCI 2020: 1-5 - [c21]Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee:
Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy. EMBC 2020: 3015-3018 - [c20]Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Decoding Movement Imagination and Execution From Eeg Signals Using Bci-Transfer Learning Method Based on Relation Network. ICASSP 2020: 1354-1358 - [c19]Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Classification of High-Dimensional Motor Imagery Tasks Based on An End-To-End Role Assigned Convolutional Neural Network. ICASSP 2020: 1359-1363 - [c18]Byoung-Hee Kwon, Ji-Hoon Jeong, Jeong-Hyun Cho, Seong-Whan Lee:
Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment. SMC 2020: 2966-2971 - [i15]Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network. CoRR abs/2002.00210 (2020) - [i14]Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn, Seong-Whan Lee:
Towards Brain-Computer Interfaces for Drone Swarm Control. CoRR abs/2002.00519 (2020) - [i13]Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee:
A novel approach to classify natural grasp actions by estimating muscle activity patterns from EEG signals. CoRR abs/2002.00556 (2020) - [i12]Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim:
A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform. CoRR abs/2002.01120 (2020) - [i11]Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Classification of Upper Limb Movements Using Convolutional Neural Network with 3D Inception Block. CoRR abs/2002.01121 (2020) - [i10]Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining. CoRR abs/2002.01122 (2020) - [i9]Kyung-Hwan Shim, Ji-Hoon Jeong, Seong-Whan Lee:
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning. CoRR abs/2005.02602 (2020) - [i8]Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee:
Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy. CoRR abs/2005.04881 (2020) - [i7]Byoung-Hee Kwon, Ji-Hoon Jeong, Jeong-Hyun Cho, Seong-Whan Lee:
Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment. CoRR abs/2005.08879 (2020) - [i6]Dae-Hyeok Lee, Hyung-Ju Ahn
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. CoRR abs/2012.03507 (2020) - [i5]Dong-Kyun Han, Ji-Hoon Jeong:
Domain Generalization for Session-Independent Brain-Computer Interface. CoRR abs/2012.03533 (2020) - [i4]Byoung-Hee Kwon, Byeong-Hoo Lee, Ji-Hoon Jeong:
Motor Imagery Classification Emphasizing Corresponding Frequency Domain Method based on Deep Learning Framework. CoRR abs/2012.03617 (2020) - [i3]Byeong-Hoo Lee, Byoung-Hee Kwon, Do-Yeun Lee, Ji-Hoon Jeong:
Speech Imagery Classification using Length-Wise Training based on Deep Learning. CoRR abs/2012.03632 (2020) - [i2]Myoung-Ki Kim, Jeong-Hyun Cho, Ji-Hoon Jeong:
Classification of Tactile Perception and Attention on Natural Textures from EEG Signals. CoRR abs/2012.06206 (2020) - [i1]Jeong-Hyun Cho, Ji-Hoon Jeong, Myoung-Ki Kim, Seong-Whan Lee:
Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch. CoRR abs/2012.06753 (2020)
2010 – 2019
- 2019
- [j1]Seung-Bo Lee, Hyun-Ji Kim, Hakseung Kim, Ji-Hoon Jeong
Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification. Inf. Sci. 502: 190-200 (2019) - [c17]Baek-Woon Yu, Ji-Hoon Jeong
Detection of Pilot's Drowsiness Based on Multimodal Convolutional Bidirectional LSTM Network. ACPR (2) 2019: 530-543 - [c16]Young-Tak Kim, Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong
Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping. BCI 2019: 1-4 - [c15]Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong
Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification. BCI 2019: 1-4 - [c14]Yong-Deok Yun, Ji-Hoon Jeong
Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control. EMBC 2019: 3014-3017 - [c13]Ji-Hoon Jeong
Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System. EMBC 2019: 5544-5547 - [c12]Jeong-Hyun Cho, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Classification of various grasping tasks based on temporal segmentation method using EEG and EMG signals. GBCIC 2019 - [c11]Kyung-Hwan Shim, Ji-Hoon Jeong
Assistive Robotic Arm Control based on Brain-Machine Interface with Vision Guidance using Convolution Neural Network. SMC 2019: 2785-2790 - [c10]Seo-Hyun Lee, Minji Lee, Ji-Hoon Jeong
Towards an EEG-based Intuitive BCI Communication System Using Imagined Speech and Visual Imagery. SMC 2019: 4409-4414 - 2018
- [c9]Ji-Hoon Jeong
Design of a brain-controlled robot arm system based on upper-limb movement imagery. BCI 2018: 1-3 - [c8]Young-joo Shin
Unveiling Hardware-based Data Prefetcher, a Hidden Source of Information Leakage. CCS 2018: 131-145 - [c7]Ji-Hoon Jeong
Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control. SMC 2018: 511-514 - [c6]Jeong-Hyun Cho, Ji-Hoon Jeong
Classification of Hand Motions within EEG Signals for Non-Invasive BCI-Based Robot Hand Control. SMC 2018: 515-518 - 2017
- [c5]Ji-Hoon Jeong
Single-trial analysis of readiness potentials for lower limb exoskeleton control. BCI 2017: 50-52 - [c4]Ji-Hoon Jeong, No-Sang Kwak, Min-Ho Lee, Seong-Whan Lee:
Decoding of walking Intention under Lower limb exoskeleton Environment using MRCP Feature. GBCIC 2017 - 2016
- [c3]Ji-Hoon Jeong, Hyung Chan Kim, Il Hwan Park, Bong-Nam Noh:
Hooking Graceful Moments: A Security Analysis of Sudo Session Handling. IWSEC 2016: 41-60 - [c2]Min-Ho Lee
OpenBMI: A real-time data analysis toolbox for Brain-Machine Interfaces. SMC 2016: 1884-1887
2000 – 2009
- 2001
- [c1]Ji-Hoon Jeong, Jaehoon Nah, Sung Won Sohn, Jong Tai Lee:
C-ISCAP: Controlled-Internet Secury Connectivity Assurance Platform. ICEIS (2) 2001: 920-925
Coauthor Index
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last updated on 2024-11-15 20:37 CET by the dblp team
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