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pro vyhledávání: '"Agarwal Ritu"'
Objective. Demographic groups are often represented at different rates in medical datasets. These differences can create bias in machine learning algorithms, with higher levels of performance for better-represented groups. One promising solution to t
Externí odkaz:
http://arxiv.org/abs/2412.16335
Autor:
Luo, Junjie, Kumbara, Abhimanyu, Shomali, Mansur, Han, Rui, Iyer, Anand, Agarwal, Ritu, Gao, Gordon
While previous studies of AI in diabetes management focus on long-term risk, research on near-future glucose prediction remains limited but important as it enables timely diabetes self-management. Integrating AI with continuous glucose monitoring (CG
Externí odkaz:
http://arxiv.org/abs/2412.09727
Electronic health records (EHRs) serve as an essential data source for the envisioned artificial intelligence (AI)-driven transformation in healthcare. However, clinician biases reflected in EHR notes can lead to AI models inheriting and amplifying t
Externí odkaz:
http://arxiv.org/abs/2305.10201
The proliferation of fake reviews of doctors has potentially detrimental consequences for patient well-being and has prompted concern among consumer protection groups and regulatory bodies. Yet despite significant advancements in the fields of machin
Externí odkaz:
http://arxiv.org/abs/2304.09948
Autor:
Agarwal Ritu, Pant Mallika
Publikováno v:
MATEC Web of Conferences, Vol 277, p 02026 (2019)
As digital images become an indispensable source of information, the authentication of digital images has become crucial. Various techniques of forgery have come into existence, intrusive, and non-intrusive. Image forgery detection hence is becoming
Externí odkaz:
https://doaj.org/article/26f3c16a96824fe6a5ec8038c2e6ccdf
Autor:
Juneja, Jeevesh, Agarwal, Ritu
We analyze the Knowledge Neurons framework for the attribution of factual and relational knowledge to particular neurons in the transformer network. We use a 12-layer multi-lingual BERT model for our experiments. Our study reveals various interesting
Externí odkaz:
http://arxiv.org/abs/2205.01366
Autor:
Agarwal, Ritu1 (AUTHOR) ragarwal.maths@mnit.ac.in, Airan, Pooja1 (AUTHOR) poojaaren199607@gmail.com, Agarwal, Ravi P.2 (AUTHOR) agarwalr@fit.edu
Publikováno v:
Axioms (2075-1680). Aug2024, Vol. 13 Issue 8, p545. 49p.
Publikováno v:
J. Nonlinear Sci. Appl. (2022); 15(1):48--60
With the increasing importance of the Mittag-Leffler function in the physical applications, these days many researchers are studying various generalizations and extensions of the Mittag-Leffler function. In this paper efforts are made to define bicom
Externí odkaz:
http://arxiv.org/abs/2103.10324
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Autor:
Khera, Sanjeev, Singh, Daljit, Thergaonkar, R.W., Dhingra, Sandeep, Simalti, Ashish Kumar, Agarwal, Ritu, KR, Mohan, Tewari, Vishal Vishnu, Surendran, Sajith, Bhattacharjee, Aniruddha
Publikováno v:
In Medical Journal Armed Forces India November 2023