Eunjin Jeon

Orcid: 0000-0002-1800-2704

According to our database1, Eunjin Jeon authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation Learning.
IEEE Trans. Medical Imaging, April, 2024

2023
Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

TransSleep: Transitioning-Aware Attention-Based Deep Neural Network for Sleep Staging.
IEEE Trans. Cybern., 2023

Learning-based Sleep Quality Evaluation.
Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023

2022
A Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics.
IEEE Trans. Medical Imaging, 2022

A Novel RL-Assisted Deep Learning Framework for Task-Informative Signals Selection and Classification for Spontaneous BCIs.
IEEE Trans. Ind. Informatics, 2022

Enhancing Contextual Encoding With Stage-Confusion and Stage-Transition Estimation for EEG-Based Sleep Staging.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Fine-Grained Attention for Weakly Supervised Object Localization.
CoRR, 2021

Multi-Scale Neural Network for EEG Representation Learning in BCI.
IEEE Comput. Intell. Mag., 2021

Meta-modulation Network for Domain Generalization in Multi-site fMRI Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Experimental Design for Multi-task Deep Learning toward Intelligence Augmented Visual AI.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2021

Fine-grained Temporal Attention Network for EEG-based Seizure Detection.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021

Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020
Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation.
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020

2019
Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator.
CoRR, 2019

Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

Domain Adaptation with Source Selection for Motor-Imagery based BCI.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019


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