34 citations · 46 across the 9 of their papers we have counts for
10 papers
ASR Error Detection via Audio-Transcript entailment
Nimshi Venkat Meripo, Sandeep Konam
Despite improved performances of the latest Automatic Speech Recognition (ASR) systems, transcription errors are still unavoidable. These errors can have a considerable impact in c…
Towards Fairness in Classifying Medical Conversations into SOAP Sections
Elisa Ferracane, Sandeep Konam
As machine learning algorithms are more widely deployed in healthcare, the question of algorithmic fairness becomes more critical to examine. Our work seeks to identify and underst…
Weakly Supervised Medication Regimen Extraction from Medical Conversations
Dhruvesh Patel, Sandeep Konam, Sai P. Selvaraj
Automated Medication Regimen (MR) extraction from medical conversations can not only improve recall and help patients follow through with their care plan, but also reduce the docum…
Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations
Benjamin Schloss, Sandeep Konam
Summaries generated from medical conversations can improve recall and understanding of care plans for patients and reduce documentation burden for doctors. Recent advancements in a…
ASR Error Correction and Domain Adaptation Using Machine Translation
Anirudh Mani, Shruti Palaskar, Nimshi Venkat Meripo +2
Off-the-shelf pre-trained Automatic Speech Recognition (ASR) systems are an increasingly viable service for companies of any size building speech-based products. While these ASR sy…
Medication Regimen Extraction From Medical Conversations
Sai P. Selvaraj, Sandeep Konam
Extracting relevant information from medical conversations and providing it to doctors and patients might help in addressing doctor burnout and patient forgetfulness. In this paper…
Understanding Convolutional Networks with APPLE : Automatic Patch Pattern Labeling for Explanation
Sandeep Konam, Ian Quah, Stephanie Rosenthal +1
With the success of deep learning, recent efforts have been focused on analyzing how learned networks make their classifications. We are interested in analyzing the network output…
UAV and Service Robot Coordination for Indoor Object Search Tasks
Sandeep Konam, Stephanie Rosenthal, Manuela Veloso
Our CoBot robots have successfully performed a variety of service tasks in our multi-building environment including accompanying people to meetings and delivering objects to office…
Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
Benjamin J. Lengerich, Sandeep Konam, Eric P. Xing +2
The predictive power of neural networks often costs model interpretability. Several techniques have been developed for explaining model outputs in terms of input features; however,…
Obstacle Avoidance through Deep Networks based Intermediate Perception
Shichao Yang, Sandeep Konam, Chen Ma +3
Obstacle avoidance from monocular images is a challenging problem for robots. Though multi-view structure-from-motion could build 3D maps, it is not robust in textureless environme…