33 citations · 42 across the 11 of their papers we have counts for
5 papers · 1 filter
Topological Effective Connectivity Modeling in Brain Networks
Anass El-Yaagoubi, Moo K. Chung, Hernando Ombao
Characterizing directed information flow in brain networks is difficult because neural circuits are full of recurrent feedback loops. Many existing tools for directed dependence as…
A Robust Topological Framework for Detecting Regime Changes in Multi-Trial Experiments with Application to Predictive Maintenance
Anass B. El-Yaagoubi, Jean-Marc Freyermuth, Hernando Ombao
We present a general and flexible framework for detecting regime changes in complex, non-stationary data across multi-trial experiments. Traditional change point detection methods…
Topological Data Analysis for Directed Dependence Networks of Multivariate Time Series Data
Anass B. El-Yaagoubi, Hernando Ombao
Topological data analysis (TDA) approaches are becoming increasingly popular for studying the dependence patterns in multivariate time series data. In particular, various dependenc…
Modeling and Simulating Dependence in Networks Using Topological Data Analysis
Anass El Yaagoubi Bourakna, Moo K. Chung, Hernando Ombao
Topological data analysis (TDA) approaches are becoming increasingly popular for studying the dependence patterns in multivariate time series data. In particular, various dependenc…
Topological Data Analysis for Multivariate Time Series Data
Anass El Yaagoubi Bourakna, Moo K. Chung, Hernando Ombao
Over the last two decades, topological data analysis (TDA) has emerged as a very powerful data analytic approach which can deal with various data modalities of varying complexities…