no code implementations • 8 Dec 2023 • Salar Abbaspourazad, Oussama Elachqar, Andrew C. Miller, Saba Emrani, Udhyakumar Nallasamy, Ian Shapiro
Tracking biosignals is crucial for monitoring wellness and preempting the development of severe medical conditions.
no code implementations • 6 Jul 2018 • Xin J. Hunt, Saba Emrani, Ilknur Kaynar Kabul, Jorge Silva
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.
2 code implementations • 19 Feb 2017 • Wei Xiao, Xiaolin Huang, Jorge Silva, Saba Emrani, Arin Chaudhuri
Robust PCA methods are typically batch algorithms which requires loading all observations into memory before processing.
no code implementations • 24 Jul 2016 • Saba Emrani, Hamid Krim
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.
no code implementations • 2 Oct 2014 • Saba Emrani, Hamid Krim
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
no code implementations • 16 May 2013 • Saba Emrani, Thanos Gentimis, Hamid Krim
The objective of this study is to detect and quantify the periodic behavior of the signals using topological methods.
Algebraic Topology 55N35, 55N99, 55U99