activity
20172021
most citedExplaining Network Intrusion Detection System Using Explainable AI Framework

63 citations · 90 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CR202163 cited

Explaining Network Intrusion Detection System Using Explainable AI Framework

Shraddha Mane, Dattaraj Rao

Cybersecurity is a domain where the data distribution is constantly changing with attackers exploring newer patterns to attack cyber infrastructure. Intrusion detection system is o…

cs.LG20205 cited

Contextual Bandits for adapting to changing User preferences over time

Dattaraj Rao

Contextual bandits provide an effective way to model the dynamic data problem in ML by leveraging online (incremental) learning to continuously adjust the predictions based on chan…

cs.AI20191 cited

Digital Twin approach to Clinical DSS with Explainable AI

Dattaraj Jagdish Rao, Shraddha Mane

We propose a digital twin approach to improve healthcare decision support systems with a combination of domain knowledge and data. Domain knowledge helps build decision thresholds…

cs.CL201917 cited

Healthcare NER Models Using Language Model Pretraining

Amogh Kamat Tarcar, Aashis Tiwari, Vineet Naique Dhaimodker +3

In this paper, we present our approach to extracting structured information from unstructured Electronic Health Records (EHR) [2] which can be used to, for example, study adverse d…

cs.AI2019

Leveraging human Domain Knowledge to model an empirical Reward function for a Reinforcement Learning problem

Dattaraj Rao

Traditional Reinforcement Learning (RL) problems depend on an exhaustive simulation environment that models real-world physics of the problem and trains the RL agent by observing t…

cs.CV2018

Regional Priority Based Anomaly Detection using Autoencoders

Shruti Mittal, Dattaraj Rao

In the recent times, autoencoders, besides being used for compression, have been proven quite useful even for regenerating similar images or help in image denoising. They have also…