default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJi-Hoon Jeong
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j11]Junmo Kim
, Keun-Soo Heo, Dong-Hee Shin, Hyeonyeong Nam, Dong-Ok Won, Ji-Hoon Jeong, Tae-Eui Kam:
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, 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. IEEE J. Biomed. Health Informatics 28(4): 2282-2293 (2024) - [j9]Deok-Joong Lee, Dong-Hee Shin, Young-Han Son, Ji-Wung Han, Ji-Hye Oh, Da-Hyun Kim, Ji-Hoon Jeong, Tae-Eui Kam:
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, Ji-Hoon Jeong:
A Monitoring System for Cattle Behavior Detection using YOLO-v8 in IoT Environments. ICCE 2024: 1-4 - [c41]Hongseok Oh, Kyungchang Jeong, Euijong Lee, Ji-Hoon Jeong:
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, Jeong-Hyun Cho, Byeong-Hoo Lee, Seong-Whan Lee:
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, Ji-Hoon Jeong, Baek-Woon Yu, Tae-Eui Kam, Seong-Whan 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, Ji-Hoon Jeong:
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, Ji-Hoon Jeong, Seong-Whan Lee:
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, Ji-Hoon Jeong, Jeong-Hyun Cho, Sunghyun Kim, Jeonggoo Kang, Jeha Ryu, Seong-Whan Lee:
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, Byeong-Hoo Lee, Dae-Hyeok Lee, Yong-Deok Yun, Seong-Whan Lee:
EEG Classification of Forearm Movement Imagery Using a Hierarchical Flow Convolutional Neural Network. IEEE Access 8: 66941-66950 (2020) - [j3]Dae-Hyeok Lee, Ji-Hoon Jeong, Kiduk Kim, Baek-Woon Yu, Seong-Whan 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, Ji-Hoon Jeong, Seong-Whan 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, Seong-Whan Lee:
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, Ji-Hoon Jeong, Seong-Whan Lee:
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, Seong-Whan Lee, Dong-Joo Kim:
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, Dae-Hyeok Lee, Seong-Whan Lee:
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, Seong-Whan Lee, Dong-Joo Kim:
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, In-Nea Wang, Seong-Whan Lee, Dong-Joo Kim:
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, Jeong-Hyun Cho, Dong-Joo Kim, Seong-Whan Lee:
Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control. EMBC 2019: 3014-3017 - [c13]Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim, Seong-Whan Lee:
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, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
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, Seong-Whan Lee:
Towards an EEG-based Intuitive BCI Communication System Using Imagined Speech and Visual Imagery. SMC 2019: 4409-4414 - 2018
- [c9]Ji-Hoon Jeong, Keun-Tae Kim, Yong-Deok Yun, Seong-Whan Lee:
Design of a brain-controlled robot arm system based on upper-limb movement imagery. BCI 2018: 1-3 - [c8]Young-joo Shin, Hyung Chan Kim, Dokeun Kwon, Ji-Hoon Jeong, Junbeom Hur:
Unveiling Hardware-based Data Prefetcher, a Hidden Source of Information Leakage. CCS 2018: 131-145 - [c7]Ji-Hoon Jeong, Keun-Tae Kim, Dong-Joo Kim, Seong-Whan Lee:
Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control. SMC 2018: 511-514 - [c6]Jeong-Hyun Cho, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim, Seong-Whan Lee:
Classification of Hand Motions within EEG Signals for Non-Invasive BCI-Based Robot Hand Control. SMC 2018: 515-518 - 2017
- [c5]Ji-Hoon Jeong, Min-Ho Lee, No-Sang Kwak, Seong-Whan Lee:
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, Keun-Tae Kim, Yeong-Jin Kee, Ji-Hoon Jeong, Seon-Min Kim, Siamac Fazli, Seong-Whan 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
