37 citations · 46 across the 4 of their papers we have counts for
4 papers
Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice
Kevin Li, Riya Desai, Ryan T. Scott +8
The adverse effects of microgravity exposure on mammalian physiology during spaceflight necessitate a deep understanding of the underlying mechanisms to develop effective counterme…
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition
F. O. de Franca, M. Virgolin, M. Kommenda +21
Symbolic regression searches for analytic expressions that accurately describe studied phenomena. The main attraction of this approach is that it returns an interpretable model tha…
Predictions for flow harmonic distributions and flow factorization ratios at RHIC
Leonardo Barbosa, Fernando G. Gardim, Frédérique Grassi +4
Data obtained at RHIC can be reproduced with relativistic viscous hydrodynamic simulations by adjusting the viscosity and initial conditions but it is difficult to disentangle thes…
An Approach to Symbolic Regression Using Feyn
Kevin René Broløs, Meera Vieira Machado, Chris Cave +5
In this article we introduce the supervised machine learning tool called Feyn. The simulation engine that powers this tool is called the QLattice. The QLattice is a supervised mach…