58 citations · 76 across the 18 of their papers we have counts for
4 papers · 1 filter
Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms
Meghna Chakraborty, Timothy Gates, Subhrajit Sinha
Causal analysis and classification of injury severity applying non-parametric methods for traffic crashes has received limited attention. This study presents a methodological frame…
Causal Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic
Subhrajit Sinha, Meghna Chakraborty
Since the increasing outspread of COVID-19 in the U.S., with the highest number of confirmed cases and deaths in the world as of September 2020, most states in the country have enf…
Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis
Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
This paper uses data-driven operator theoretic approaches to explore the global phase space of a dynamical system. We defined conditions for discovering new invariant subspaces in…
On Few Shot Learning of Dynamical Systems: A Koopman Operator Theoretic Approach
Subhrajit Sinha, Umesh Vaidya, Enoch Yeung
In this paper, we propose a novel algorithm for learning the Koopman operator of a dynamical system from a \textit{small} amount of training data. In many applications of data-driv…