Tae-Eui Kam

Emailkamtekorea.ackr

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26 Conference contribution
21 Article

A Comparative Study: Enhancing Conditional Generative Adversarial Networks for Functional Connectivity Synthesis in Major Depressive Disorder
Oh, J. H., Jo, E. & Kam, T. E., 2025, Pattern Recognition and Artificial Intelligence - 4th International Conference, ICPRAI 2024, Proceedings. Wallraven, C., Liu, C.-L. & Ross, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 381-393 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14892 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Curriculum Learning with Sampling Scheduler for Imbalanced EEG-based Seizure Detection
Choi, W. H., Kim, J. M., Nam, H. & Kam, T. E., 2025, 13th International Winter Conference on Brain-Computer Interface, BCI 2025. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Designing Selective Drugs: Multi-Objective Optimization to Mitigate Off-Target Effects
Shin, D. H., Son, Y. H., Lee, D. J. & Kam, T. E., 2025, 2025 International Conference on Electronics, Information, and Communication, ICEIC 2025. Institute of Electrical and Electronics Engineers Inc., (2025 International Conference on Electronics, Information, and Communication, ICEIC 2025).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble Learning
Lee, D. J., Shin, D. H., Son, Y. H. & Kam, T. E., 2025, 2025 International Conference on Electronics, Information, and Communication, ICEIC 2025. Institute of Electrical and Electronics Engineers Inc., (2025 International Conference on Electronics, Information, and Communication, ICEIC 2025).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Molecular Optimization with Mamba-Based GFlowNet
Son, Y. H., Shin, D. H., Lee, D. J. & Kam, T. E., 2025, 2025 International Conference on Electronics, Information, and Communication, ICEIC 2025. Institute of Electrical and Electronics Engineers Inc., (2025 International Conference on Electronics, Information, and Communication, ICEIC 2025).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus)

Reports Outline Technology Findings from Korea University [Sparse Graph Representation Learning Based On Reinforcement Learning for Personalized Mild Cognitive Impairment (Mci) Diagnosis]
Kam, T.-E.
24/10/9
1 item of Media coverage
Press/Media: Press / Media
New Findings from Korea University in Engineering Provides New Insights (A Learnable Continuous Wavelet-based Multi-branch Attentive Convolutional Neural Network for Spatio-spectral-temporal Eeg Signal Decoding)
Kam, T.-E.
24/10/4
1 item of Media coverage
Press/Media: Press / Media

Tae-Eui Kam

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

A Comparative Study: Enhancing Conditional Generative Adversarial Networks for Functional Connectivity Synthesis in Major Depressive Disorder

Curriculum Learning with Sampling Scheduler for Imbalanced EEG-based Seizure Detection

Designing Selective Drugs: Multi-Objective Optimization to Mitigate Off-Target Effects

Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble Learning

Molecular Optimization with Mamba-Based GFlowNet

Reports Outline Technology Findings from Korea University [Sparse Graph Representation Learning Based On Reinforcement Learning for Personalized Mild Cognitive Impairment (Mci) Diagnosis]

New Findings from Korea University in Engineering Provides New Insights (A Learnable Continuous Wavelet-based Multi-branch Attentive Convolutional Neural Network for Spatio-spectral-temporal Eeg Signal Decoding)

Tae-Eui Kam

Fingerprint

Collaborations and top research areas from the last five years

Research output

A Comparative Study: Enhancing Conditional Generative Adversarial Networks for Functional Connectivity Synthesis in Major Depressive Disorder

Curriculum Learning with Sampling Scheduler for Imbalanced EEG-based Seizure Detection

Designing Selective Drugs: Multi-Objective Optimization to Mitigate Off-Target Effects

Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble Learning

Molecular Optimization with Mamba-Based GFlowNet

Press/Media

Reports Outline Technology Findings from Korea University [Sparse Graph Representation Learning Based On Reinforcement Learning for Personalized Mild Cognitive Impairment (Mci) Diagnosis]

New Findings from Korea University in Engineering Provides New Insights (A Learnable Continuous Wavelet-based Multi-branch Attentive Convolutional Neural Network for Spatio-spectral-temporal Eeg Signal Decoding)