2 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Explainable artificial intelligence for Healthcare applications using Random Forest Classifier with LIME and SHAP
Mrutyunjaya Panda, Soumya Ranjan Mahanta
With the advances in computationally efficient artificial Intelligence (AI) techniques and their numerous applications in our everyday life, there is a pressing need to understand…
cs.NE2016★ 2 cited
Big Models for Big Data using Multi objective averaged one dependence estimators
Mrutyunjaya Panda
Even though, many researchers tried to explore the various possibilities on multi objective feature selection, still it is yet to be explored with best of its capabilities in data…
cs.CV2016★ 2 cited
Towards the effectiveness of Deep Convolutional Neural Network based Fast Random Forest Classifier
Mrutyunjaya Panda
Deep Learning is considered to be a quite young in the area of machine learning research, found its effectiveness in dealing complex yet high dimensional dataset that includes but…