no code implementations • 4 Jul 2024 • Omer Subasi, Johnathan Cree, Joseph Manzano, Elena Peterson
These issues include the use of overly complex and opaque ML models, unaccounted data imbalances and correlated features, inconsistent influential features across different explanation methods, the inconsistencies stemming from the constituents of a learning process, and the implausible utility of explanations.
no code implementations • 5 Dec 2023 • Omer Subasi, Oceane Bel, Joseph Manzano, Kevin Barker
With the advance of the powerful heterogeneous, parallel and distributed computing systems and ever increasing immense amount of data, machine learning has become an indispensable part of cutting-edge technology, scientific research and consumer products.