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Found 5 papers, 1 papers with code
Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression
We verify our proposed method's efficacy by predicting clinical labels and cognitive scores over time in regular and irregular settings.
Behavior Tree-Based Task Planning for Multiple Mobile Robots using a Data Distribution Service
The task planning unit assigns tasks to each robot simultaneously through a single coalesced BT.
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Modeling non-Euclidean data is drawing extensive attention along with the unprecedented successes of deep neural networks in diverse fields.
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
For building a source model generally applicable to various tasks, we pre-train the model in a self-supervised learning manner for masked encoding vector prediction as a proxy task, using a large-scale normal, healthy brain magnetic resonance imaging (MRI) dataset.
Multi-Scale Neural network for EEG Representation Learning in BCI
Among the various deep network architectures, convolutional neural networks have been well suited for spatio-spectral-temporal electroencephalogram signal representation learning.
