no code implementations • 27 Feb 2023 • Sagar Patel, Sangeetha Abdu Jyothi, Nina Narodytska
We present CrystalBox, a novel, model-agnostic, posthoc explainability framework for Deep Reinforcement Learning (DRL) controllers in the large family of input-driven environments which includes computer systems.
no code implementations • 24 Feb 2023 • Sagar Patel, Junyang Zhang, Sangeetha Abdu Jyothi, Nina Narodytska
First, we identify the critical features that determine the behavior of the traces.
1 code implementation • 30 Sep 2021 • Atharv Yeoleka, Sagar Patel, Shreejaa Talla, Krishna Rukmini Puthucode, Azim Ahmadzadeh, Viacheslav M. Sadykov, Rafal A. Angryk
We incorporated 24 Feature Subset Selection (FSS) algorithms, including multivariate and univariate, supervised and unsupervised, wrappers and filters.
no code implementations • 1 Aug 2020 • Rebekah L. Rogers, Stephanie L. Grizzard, James E. Titus-McQuillan, Katherine Bockrath, Sagar Patel, John P. Wares, Jeffrey T. Garner, Cathy C. Moore
With advances in genome sequencing it is possible to gain a broader view of how gene family proliferation and TE content evolve in non-model species when populations become threatened.
no code implementations • 22 Aug 2018 • Saurabh Banga, Harsh Gehani, Sanket Bhilare, Sagar Patel, Levent Kara
Topology optimization is computationally demanding that requires the assembly and solution to a finite element problem for each material distribution hypothesis.