23 citations · 46 across the 32 of their papers we have counts for
4 papers · 1 filter
Operator-Based Detecting, Learning, and Stabilizing Unstable Periodic Orbits of Chaotic Attractors
Ali Tavasoli, Heman Shakeri
This paper examines the use of operator-theoretic approaches to the analysis of chaotic systems through the lens of their unstable periodic orbits (UPOs). Our approach involves thr…
An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman Pseudospectra
Ali Tavasoli, Behnaz Moradijamei, Heman Shakeri
This paper presents an interpretable machine learning approach that characterizes load dynamics within an operator-theoretic framework for electricity load forecasting in power gri…
MAD-FC: A Fold Change Visualization with Readability, Proportionality, and Symmetry
Bruce A. Corliss, Yaotian Wang, Francis P. Driscoll +2
We propose a fold change visualization that demonstrates a combination of properties from log and linear plots of fold change. A useful fold change visualization can exhibit: (1) r…
Contra-Analysis for Determining Negligible Effect Size in Scientific Research
Bruce A. Corliss, Yaotian Wang, Heman Shakeri +1
Scientific experiments study interventions that show evidence of an effect size that is meaningfully large, negligibly small, or inconclusively broad. Previously, we proposed contr…