50 citations · 86 across the 11 of their papers we have counts for
9 papers · 1 filter
Multicollinearity Correction and Combined Feature Effect in Shapley Values
Indranil Basu, Subhadip Maji
Model interpretability is one of the most intriguing problems in most of the Machine Learning models, particularly for those that are mathematically sophisticated. Computing Shaple…
Exploration about the origin of galactic and extragalactic star clusters through simulated H-R diagrams
Tanuka Chattopadhyay, Sreerup Mondal, Suman Paul +2
The present work explores the origin of the formation of star clusters in our Galaxy and in Small Magellanic Cloud (SMC) through simulated H-R diagrams and compare those with obser…
An Interpretable Deep Learning System for Automatically Scoring Request for Proposals
Subhadip Maji, Anudeep Srivatsav Appe, Raghav Bali +3
The Managed Care system within Medicaid (US Healthcare) uses Request For Proposals (RFP) to award contracts for various healthcare and related services. RFP responses are very deta…
A Simple and Interpretable Predictive Model for Healthcare
Subhadip Maji, Raghav Bali, Sree Harsha Ankem +1
Deep Learning based models are currently dominating most state-of-the-art solutions for disease prediction. Existing works employ RNNs along with multiple levels of attention mecha…
Exclusion and Inclusion -- A model agnostic approach to feature importance in DNNs
Subhadip Maji, Arijit Ghosh Chowdhury, Raghav Bali +1
Deep Neural Networks in NLP have enabled systems to learn complex non-linear relationships. One of the major bottlenecks towards being able to use DNNs for real world applications…
Deep Image Orientation Angle Detection
Subhadip Maji, Smarajit Bose
Estimating and rectifying the orientation angle of any image is a pretty challenging task. Initial work used the hand engineering features for this purpose, where after the inventi…
Rotation Invariant Deep CBIR
Subhadip Maji, Smarajit Bose
Introduction of Convolutional Neural Networks has improved results on almost every image-based problem and Content-Based Image Retrieval is not an exception. But the CNN features,…
An Improved Relevance Feedback in CBIR
Subhadip Maji, Smarajit Bose
Relevance Feedback in Content-Based Image Retrieval is a method where the feedback of the performance is being used to improve itself. Prior works use feature re-weighting and clas…
CBIR using features derived by Deep Learning
Subhadip Maji, Smarajit Bose
In a Content Based Image Retrieval (CBIR) System, the task is to retrieve similar images from a large database given a query image. The usual procedure is to extract some useful fe…