8 citations · 15 across the 5 of their papers we have counts for
5 papers
Easter2.0: Improving convolutional models for handwritten text recognition
Kartik Chaudhary, Raghav Bali
Convolutional Neural Networks (CNN) have shown promising results for the task of Handwritten Text Recognition (HTR) but they still fall behind Recurrent Neural Networks (RNNs)/Tran…
EASTER: Efficient and Scalable Text Recognizer
Kartik Chaudhary, Raghav Bali
Recent progress in deep learning has led to the development of Optical Character Recognition (OCR) systems which perform remarkably well. Most research has been around recurrent ne…
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…