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Found 4 papers, 1 papers with code
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates
To quantify how well the distributions of the surrogates and the original data match, we evaluated a trained classifier on surrogates of correctly classified examples, and summarized these conditional predictions in a confusion matrix.
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks
We also demonstrate the cross-domain generalizablity of the approach by adapting the learned model parameters from one recording modality (ECG) to another (photoplethysmogram) with improved AF detection performance.
Subject Selection on a Riemannian Manifold for Unsupervised Cross-subject Seizure Detection
Inter-subject variability between individuals poses a challenge in inter-subject brain signal analysis problems.
Fusing Continuous-valued Medical Labels using a Bayesian Model
To address these problems, a Bayesian Continuous-valued Label Aggregator(BCLA) is proposed to provide a reliable estimation of label aggregation while accurately infer the precision and bias of each algorithm.
