5 citations · 6 across the 3 of their papers we have counts for
4 papers
Permutation-Equivariant 2D State Space Models: Theory and Canonical Architecture for Multivariate Time Series
Seungwoo Jeong, Heung-Il Suk
Multivariate time series (MTS) modeling often implicitly imposes an artificial ordering over variables, violating the inherent exchangeability found in many real-world systems wher…
Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression
Seungwoo Jeong, Wonsik Jung, Junghyo Sohn +1
Alzheimer's disease (AD) is a devastating neurodegenerative condition that precedes progressive and irreversible dementia; thus, predicting its progression over time is vital for c…
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
Eunji Jun, Seungwoo Jeong, Da-Woon Heo +1
Transfer learning has gained attention in medical image analysis due to limited annotated 3D medical datasets for training data-driven deep learning models in the real world. Exist…
Multi-Scale Neural network for EEG Representation Learning in BCI
Wonjun Ko, Eunjin Jeon, Seungwoo Jeong +1
Recent advances in deep learning have had a methodological and practical impact on brain-computer interface research. Among the various deep network architectures, convolutional ne…