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Found 6 papers, 2 papers with code
The effect of data augmentation and 3D-CNN depth on Alzheimer's Disease detection
We investigate the impact of different data augmentation techniques and model complexity on the overall performance.
Physics Informed Shallow Machine Learning for Wind Speed Prediction
We train supervised learning algorithms using the past history of wind to predict its value at a future time (horizon).
Latent Variable Time-varying Network Inference
The estimation of the contribution of the latent factors is embedded in the model which produces both sparse and low-rank components for each time point.
A temporal model for multiple sclerosis course evolution
Researchers are currently investigating on the use of patient reported outcome measures for the assessment of impact and evolution of the disease on the life of the patients.
Real-time Automatic Emotion Recognition from Body Gestures
Although psychological research indicates that bodily expressions convey important affective information, to date research in emotion recognition focused mainly on facial expression or voice analysis.
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups
We deal with the problem of variable selection when variables must be selected group-wise, with possibly overlapping groups defined a priori.
