no code implementations • 23 Apr 2024 • Shashi Kant Gupta, Aditya Basu, Mauro Nievas, Jerrin Thomas, Nathan Wolfrath, Adhitya Ramamurthi, Bradley Taylor, Anai N. Kothari, Regina Schwind, Therica M. Miller, Sorena Nadaf-Rahrov, Yanshan Wang, Hrituraj Singh
Clinical trial matching is the task of identifying trials for which patients may be potentially eligible.
no code implementations • 10 Apr 2024 • Shashi Kant Gupta, Aditya Basu, Bradley Taylor, Anai Kothari, Hrituraj Singh
Retrieving information from EHR systems is essential for answering specific questions about patient journeys and improving the delivery of clinical care.
1 code implementation • 1 Jun 2023 • Shashi Kant Gupta, Sushant Hiray, Prashant Kukde
This work focuses on improving the Spoken Language Identification (LangId) system for a challenge that focuses on developing robust language identification systems that are reliable for non-standard, accented (Singaporean accent), spontaneous code-switched, and child-directed speech collected via Zoom.
1 code implementation • NeurIPS 2021 • Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu, Jeremy M. Wolfe, Gabriel Kreiman
To elucidate the mechanisms responsible for asymmetry in visual search, we propose a computational model that takes a target and a search image as inputs and produces a sequence of eye movements until the target is found.
no code implementations • NeurIPS Workshop SVRHM 2020 • Shashi Kant Gupta
Deep Learning has become interestingly popular in computer vision, mostly attaining near or above human-level performance in various vision tasks.
no code implementations • 24 Nov 2020 • Shashi Kant Gupta
However, various learning methods for neural architecture have been proposed in search of more biologically plausible learning.
no code implementations • 22 Nov 2020 • Shivi Gupta, Shashi Kant Gupta
The representations learned by deep neural networks can indeed show an emotion-color association 2.