3 papers
eess.SP2023
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction
Zakary Georgis-Yap, Milos R. Popovic, Shehroz S. Khan
Epilepsy affects more than 50 million people worldwide, making it one of the world's most prevalent neurological diseases. The main symptom of epilepsy is seizures, which occur abr…
cs.LG2022
Deep Direct Discriminative Decoders for High-dimensional Time-series Data Analysis
Mohammad R. Rezaei, Milos R. Popovic, Milad Lankarany +1
The state-space models (SSMs) are widely utilized in the analysis of time-series data. SSMs rely on an explicit definition of the state and observation processes. Characterizing th…
physics.comp-ph2020
A community-powered search of machine learning strategy space to find NMR property prediction models
Lars A. Bratholm, Will Gerrard, Brandon Anderson +26
The rise of machine learning (ML) has created an explosion in the potential strategies for using data to make scientific predictions. For physical scientists wishing to apply ML st…