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Found 6 papers, 1 papers with code
Persistent Homology of Delay Embeddings
The objective of this study is to detect and quantify the periodic behavior of the signals using topological methods.
Algebraic Topology 55N35, 55N99, 55U99
Robust Detection of Periodic Patterns in Gene Expression Microarray Data using Topological Signal Analysis
In this paper, we present a new approach for analyzing gene expression data that builds on topological characteristics of time series.
Quantitative Methods Algebraic Topology Genomics
Effective Connectivity-Based Neural Decoding: A Causal Interaction-Driven Approach
We propose a geometric model-free causality measurebased on multivariate delay embedding that can efficiently detect linear and nonlinear causal interactions between time series with no prior information.
Online Robust Principal Component Analysis with Change Point Detection
Robust PCA methods are typically batch algorithms which requires loading all observations into memory before processing.
Multi-Task Learning with Incomplete Data for Healthcare
Multi-task learning is a type of transfer learning that trains multiple tasks simultaneously and leverages the shared information between related tasks to improve the generalization performance.
Large-scale Training of Foundation Models for Wearable Biosignals
Tracking biosignals is crucial for monitoring wellness and preempting the development of severe medical conditions.
